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11834 pages across 42 books
Advanced COBOL
AI Ethics
AI Literacy
AI & ML for Business
AI Engineering
Algorithmic Addiction
Applied Psychology
College Football Analytics
Creator Economy
Pattern Recognition
Data & Society
Ethical Hacking
Fandom
History of Appalachia
How Humans Get Stuck
Handling Confrontation
How Your House Works
IBM DB2
Intermediate COBOL
Intro CS Python
Intro to Data Science
Introductory Statistics
Learning COBOL
Prediction Markets
Metacognition
Media Literacy
NFL Analytics
Physics of Music
Political Analytics
Basketball Analytics
Soccer Analytics
Propaganda
Python for Business
Quantum Mechanics
RegTech
Science of Seduction
Sports Betting
Architecture of Surveillance
Science of Luck
Vibe Coding
Why They Watch
Working with AI
Advanced Cobol
Front Matter
Part I: z/OS Foundations for the COBOL Architect
- Part I: z/OS Foundations for the COBOL Architect
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Index
- Chapter 1 Exercises: The z/OS Ecosystem
- Chapter 1 Quiz: The z/OS Ecosystem
- Case Study 1: Continental National Bank's Parallel Sysplex Migration
- Case Study 2: When the Mainframe Meets the Cloud — SecureFirst's Architecture Discovery
- Chapter 1 Key Takeaways: The z/OS Ecosystem
- Chapter 1 Further Reading: The z/OS Ecosystem
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Index
- Chapter 2 Exercises: Virtual Storage Architecture
- Chapter 2 Quiz: Virtual Storage Architecture
- Case Study 1: Continental National Bank's 80A Crisis and Above-the-Bar Migration
- Case Study 2: Pinnacle Health Insurance's CICS Storage Crisis
- Chapter 2 Key Takeaways: Virtual Storage Architecture
- Chapter 2 Further Reading: Virtual Storage Architecture
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Index
- Chapter 3 Exercises: Language Environment Internals
- Chapter 3 Quiz: Language Environment Internals
- Case Study 1: Continental National Bank's U4038 Cascade and LE Governance Overhaul
- Case Study 2: Federal Benefits Administration's LE Modernization and Marcus Whitfield's Knowledge Transfer
- Chapter 3 Key Takeaways: Language Environment Internals
- Chapter 3 Further Reading: Language Environment Internals
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Chapter 4: Dataset Management Deep Dive
- Chapter 4 Exercises: Dataset Management Deep Dive
- Chapter 4 Quiz: Dataset Management Deep Dive
- Case Study 1: Continental National Bank's Dataset Management Strategy
- Case Study 2: Pinnacle Health Insurance's GDG Strategy for Monthly Claims Processing
- Chapter 4 Key Takeaways — Quick Reference Card
- Chapter 4 Further Reading
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Chapter 5: z/OS Workload Manager — How WLM Decides When Your Batch Job Runs (and How to Influence It)
- Chapter 5 Exercises: z/OS Workload Manager
- Chapter 5 Quiz: z/OS Workload Manager
- Case Study 1: CNB's WLM Service Definition — Balancing 500 Million Online Transactions with End-of-Day Batch
- Case Study 2: Federal Benefits Administration — When Every Batch Job Thinks It Is Critical
- Chapter 5 Key Takeaways: z/OS Workload Manager
- Chapter 5 Further Reading: z/OS Workload Manager
Part II: Advanced DB2 for COBOL
- Part II: Advanced DB2 for COBOL
- Chapter 6: DB2 Optimizer Internals
- Chapter 7: Advanced SQL for COBOL: Multi-Row Operations, Temporal Tables, Recursive CTEs, and OLAP Functions
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Chapter 8: DB2 Locking, Concurrency, and Deadlock Resolution: The Chapter That Prevents 2am Pages
- Chapter 8 Exercises: DB2 Locking, Concurrency, and Deadlock Resolution
- Chapter 8 Quiz: DB2 Locking, Concurrency, and Deadlock Resolution
- Case Study 1: CNB's Production Deadlock Investigation
- Case Study 2: Pinnacle Health's Batch/Online Lock Contention
- Chapter 8 Key Takeaways
- Chapter 8 Further Reading
- Chapter 9: DB2 Utilities for the COBOL Developer: REORG, RUNSTATS, COPY, RECOVER, and LOAD at Scale
- Chapter 10: Stored Procedures and User-Defined Functions in COBOL
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Chapter 11: DB2 Performance Diagnosis: Reading EXPLAIN Output, Interpreting DSN_STATEMNT_TABLE, and Solving Real Problems
- Exercises — Chapter 11: DB2 Performance Diagnosis
- Quiz — Chapter 11: DB2 Performance Diagnosis
- Case Study 1: CNB's Quarterly DB2 Performance Review
- Case Study 2: Pinnacle Health's Claims Processing Performance Crisis
- Key Takeaways — Chapter 11: DB2 Performance Diagnosis
- Further Reading — Chapter 11: DB2 Performance Diagnosis
- Chapter 12: DB2 Application Patterns: Batch Window Optimization, Cursor Management at Scale, and Dynamic SQL Security
Part III: CICS Production Mastery
- Part III: CICS Production Mastery
- Chapter 13: CICS Architecture for Architects
- Chapter 14: CICS Web Services
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Chapter 15: CICS Channels and Containers — Modern Data Passing for Complex Transactions
- Chapter 15 Exercises: CICS Channels and Containers
- Chapter 15 Quiz: CICS Channels and Containers
- Case Study 1: Federal Benefits' COMMAREA-to-Channels Migration
- Case Study 2: CNB's Multi-Container Transaction Design
- Chapter 15 Key Takeaways: CICS Channels and Containers
- Chapter 15 Further Reading: CICS Channels and Containers
- Chapter 16: CICS Security — RACF Integration, Transaction Security, Resource-Level Security, and Audit Compliance
- Chapter 17: CICS Performance and Tuning
- Chapter 18: CICS Failure and Recovery
Part IV: Messaging and Integration
- Part IV: Messaging and Integration
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Chapter 19: IBM MQ for COBOL — Queue Management, Message Patterns, and Transactional Messaging
- Chapter 19 Exercises: IBM MQ for COBOL
- Chapter 19 Quiz: IBM MQ for COBOL
- Case Study 1: CNB's MQ Infrastructure — 47 Connected Systems and Inter-Bank Messaging
- Case Study 2: SecureFirst's MQ-to-Cloud Bridge for Mobile Notifications
- Chapter 19 Key Takeaways: IBM MQ for COBOL
- Chapter 19 Further Reading: IBM MQ for COBOL
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Chapter 20: Event-Driven Architecture with COBOL — MQ Triggers, CICS Events, and Pub/Sub Patterns
- Chapter 20 Exercises: Event-Driven Architecture with COBOL
- Chapter 20 Quiz: Event-Driven Architecture with COBOL
- Case Study 1: CNB's Real-Time Fraud Detection via MQ Triggers and Pub/Sub
- Case Study 2: Pinnacle Health's Claims Status Notification System
- Chapter 20 Key Takeaways: Event-Driven Architecture with COBOL
- Chapter 20 Further Reading: Event-Driven Architecture with COBOL
- Chapter 21: API-First COBOL — Exposing Mainframe Services via z/OS Connect, API Mediation Layer, and OpenAPI
- Chapter 22: Data Integration Patterns: File-Based, Message-Based, and API-Based Exchange with Distributed Systems
Part V: Batch Architecture at Scale
- Part V: Batch Architecture at Scale
- Chapter 23: Batch Window Engineering
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Chapter 24: Checkpoint/Restart Design — Building Batch Programs That Survive Any Failure
- Exercises — Chapter 24: Checkpoint/Restart Design
- Quiz — Chapter 24: Checkpoint/Restart Design
- Case Study 1: CNB's Checkpoint/Restart Redesign After the Six-Hour Batch Rerun
- Case Study 2: Pinnacle Health's Claims Pipeline Checkpoint Coordination
- Key Takeaways — Chapter 24: Checkpoint/Restart Design
- Further Reading — Chapter 24: Checkpoint/Restart Design
- Chapter 25: Parallel Batch Processing — Multi-Step Pipelines, Partitioned Processing, and DB2 Parallelism
- Chapter 26: Batch Performance at Scale
- Chapter 27: Batch Monitoring, Alerting, and Incident Response
Part VI: Security, Compliance, and Operational Excellence
- Part VI: Security, Compliance, and Operational Excellence
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Index
- Chapter 28 Exercises: Mainframe Security for COBOL Developers
- Chapter 28 Quiz: Mainframe Security for COBOL Developers
- Case Study 1: Continental National Bank's PCI-DSS Compliance Program
- Case Study 2: Pinnacle Health Insurance's HIPAA Security Implementation
- Chapter 28 Key Takeaways: Mainframe Security for COBOL Developers
- Chapter 28 Further Reading: Mainframe Security for COBOL Developers
- Chapter 29: Capacity Planning and Growth Management
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Index
- Chapter 30 Exercises: Disaster Recovery and Business Continuity
- Chapter 30 Quiz: Disaster Recovery and Business Continuity
- Case Study 1: Continental National Bank's DR Architecture and Annual Test
- Case Study 2: Federal Benefits Administration's DR Compliance Requirements
- Chapter 30 Key Takeaways: Disaster Recovery and Business Continuity
- Chapter 30 Further Reading: Disaster Recovery and Business Continuity
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Chapter 31: Operational Automation: REXX, JCL Procedures, Automation Products, and Self-Healing Batch Streams
- Exercises — Chapter 31: Operational Automation
- Quiz — Chapter 31: Operational Automation
- Case Study 1 — CNB's Automation Journey: From Manual to Self-Healing
- Case Study 2 — Pinnacle Health's Automated Compliance Reporting
- Key Takeaways — Chapter 31: Operational Automation
- Further Reading — Chapter 31: Operational Automation
Part VII: Modernization Engineering
- Part VII: Modernization Engineering
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Index
- Chapter 32 Exercises: Modernization Strategy
- Chapter 32 Quiz: Modernization Strategy
- Case Study 1: Federal Benefits Administration's Modernization Assessment and Strategy
- Case Study 2: SecureFirst's Modernization Journey — From Big-Bang to Incremental
- Chapter 32 Key Takeaways: Modernization Strategy
- Chapter 32 Further Reading: Modernization Strategy
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Kong API Gateway — Balance Inquiry Strangler Fig Routing
- Chapter 33 Exercises: Strangler Fig Pattern for Mainframes
- Chapter 33 Quiz: Strangler Fig Pattern for Mainframes
- Case Study 1: SecureFirst's Strangler Fig for Mobile Banking
- Case Study 2: Federal Benefits Administration's IMS Extraction
- Chapter 33 Key Takeaways: Strangler Fig Pattern for Mainframes
- Chapter 33 Further Reading: Strangler Fig Pattern for Mainframes
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Index
- Chapter 34 Exercises: COBOL-to-Cloud Patterns
- Chapter 34 Quiz: COBOL-to-Cloud Patterns
- Case Study 1: MidWest Mutual's Failed COBOL-to-Cloud Migration — The $47 Million Lesson
- Case Study 2: Pinnacle Health's Hybrid Success — Dev/Test on Cloud, Production on Mainframe
- Chapter 34 Key Takeaways: COBOL-to-Cloud Patterns
- Chapter 34 Further Reading: COBOL-to-Cloud Patterns
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Chapter 35: AI-Assisted COBOL — Using LLMs for Code Understanding, Documentation Generation, and Assisted Refactoring
- Chapter 35 Exercises: AI-Assisted COBOL
- Chapter 35 Quiz: AI-Assisted COBOL
- Case Study 35.1: Federal Benefits' AI Documentation Project — Sandra's Race Against the Retirement Clock
- Case Study 35.2: SecureFirst's AI-Assisted Code Review — When the AI Found What the Experts Missed (and Missed What They Found)
- Chapter 35 Key Takeaways: AI-Assisted COBOL
- Chapter 35 Further Reading: AI-Assisted COBOL
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Chapter 36: DevOps for the Mainframe — Git, Jenkins/Zowe, CI/CD Pipelines, and Automated Testing on z/OS
- Chapter 36 Exercises: DevOps for the Mainframe
- Chapter 36 Quiz: DevOps for the Mainframe
- Case Study 36.1: SecureFirst's DevOps Transformation — Yuki Leads the Pipeline Revolution
- Case Study 36.2: CNB's Git Migration from SCLM — When 2,000 Programs Change Homes
- Chapter 36 Key Takeaways: DevOps for the Mainframe
- Chapter 36 Further Reading: DevOps for the Mainframe
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Index
- Chapter 37 Exercises: The Hybrid Architecture
- Chapter 37 Quiz: The Hybrid Architecture
- Case Study 1: Continental National Bank's 10-Year Hybrid Architecture Vision
- Case Study 2: SecureFirst's Production Hybrid — Two Years In
- Chapter 37 Key Takeaways: The Hybrid Architecture
- Chapter 37 Further Reading: The Hybrid Architecture
Part VIII: Capstone and Career
- Part VIII: Capstone and Career
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Chapter 38: Capstone — Architecting a High-Availability Payment Processing System from Requirements to Production
- Exercises — Chapter 38: Capstone — Architecting a High-Availability Payment Processing System
- Quiz — Chapter 38: Capstone — Architecting a High-Availability Payment Processing System
- Case Study 1: A Payment System Architecture Review — What Passes and What Doesn't
- Case Study 2: Lessons from a Payment System Failure — The Meridian National Incident
- Key Takeaways — Chapter 38: Capstone — Architecting a High-Availability Payment Processing System
- Further Reading — Chapter 38: Capstone — Architecting a High-Availability Payment Processing System
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Chapter 39 — The Mainframe Architect's Career Path: From Senior Developer to Technical Fellow
- Exercises — Chapter 39: The Mainframe Architect's Career Path
- Quiz — Chapter 39: The Mainframe Architect's Career Path
- Case Study 1 — Kwame's Career Journey: 30 Years from Junior Developer to Chief Architect
- Case Study 2 — Sandra Chen's Transition from Developer to Modernization Lead
- Key Takeaways — Chapter 39: The Mainframe Architect's Career Path
- Further Reading — Chapter 39: The Mainframe Architect's Career Path
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Chapter 40 — Knowledge Transfer and Mentoring: Preserving 50 Years of Institutional Knowledge Before It Retires
- Exercises — Chapter 40: Knowledge Transfer and Mentoring
- Quiz — Chapter 40: Knowledge Transfer and Mentoring
- Case Study 1 — Marcus Whitfield's Knowledge Transfer Journey at Federal Benefits Administration
- Case Study 2 — Meridian Insurance Group: The Company That Didn't Do Knowledge Transfer
- Key Takeaways — Chapter 40: Knowledge Transfer and Mentoring
- Further Reading — Chapter 40: Knowledge Transfer and Mentoring
Appendices
- Appendix A: Enterprise COBOL Quick Reference
- Appendix B: JCL Quick Reference
- Appendix C: DB2 SQL Reference for COBOL
- Appendix D: z/OS Return and Abend Codes
- Appendix E: Capacity Planning Formulas and Worksheets
- Appendix F: Environment Setup Guide
- Appendix G: Production Readiness Checklists
- Appendix H: Glossary
- Appendix I: Index
- Appendix J: Answers to Selected Exercises
- Appendix K: Bibliography
AI Ethics: Bias, Fairness, Accountability, Transparency, Societal Impact, Governance, Privacy, and Security
Front Matter
Part 1: Foundations
- Part 1: Foundations — Why AI Ethics Matters and How to Think About It
- Chapter 1: What Is AI Ethics? Framing the Challenge
- Chapter 2: A Brief History of AI and Its Ethical Concerns
- Chapter 3: Ethical Frameworks for AI Decision-Making
- Chapter 4: Stakeholders in the AI Ecosystem
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Chapter 5: The Business Case for Ethical AI
- Case Study 5.1: How Ethical AI Became a Competitive Advantage — Salesforce's Journey
- Case Study 5.2: The Cost of Getting It Wrong — Clearview AI's Legal, Reputational, and Operational Consequences
- Chapter 5: Key Takeaways, Vocabulary, and Core Tensions
- Chapter 5: Exercises
- Chapter 5: Quiz — The Business Case for Ethical AI
- Chapter 5: Further Reading and Resources
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Chapter 6: Introduction to AI Governance
- Case Study 6.1: Building an AI Ethics Board — Microsoft's Responsible AI Journey
- Case Study 6.2: When AI Governance Fails — Lessons from Social Media Platforms
- Chapter 6: Key Takeaways, Vocabulary, and Core Tensions
- Chapter 6: Exercises
- Chapter 6: Assessment Quiz
- Chapter 6: Further Reading and Resources
Part 2: Bias and Fairness
- Part 2: Bias and Fairness — The Most Documented Problem in Applied AI Ethics
- Chapter 7: Understanding Algorithmic Bias
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Chapter 8: Sources of Bias in Data and Models
- Case Study 8.1: The Pulse Oximeter Problem — When Medical Device Bias Becomes a Matter of Life and Death
- Case Study 8.2: GPT-3 and the Encoding of Cultural Bias in Large Language Models
- Chapter 8: Key Takeaways
- Chapter 8: Exercises
- Chapter 8: Assessment Quiz
- Chapter 8: Further Reading and Annotated Bibliography
- Chapter 9: Measuring Fairness — Metrics and Trade-offs
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Chapter 10: Bias in Hiring and HR Systems
- Case Study 10.1: HireVue and AI-Powered Video Interviews — Science, Validity, and the Collapse of Facial Analysis
- Case Study 10.2: Résumé Screening at Scale — Opportunity and Risk in Automated Applicant Tracking
- Key Takeaways — Chapter 10: Bias in Hiring and HR Systems
- Exercises — Chapter 10: Bias in Hiring and HR Systems
- Quiz — Chapter 10: Bias in Hiring and HR Systems
- Further Reading — Chapter 10: Bias in Hiring and HR Systems
- Chapter 11: Bias in Financial Services and Credit
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Chapter 12: Bias in Healthcare AI
- Case Study 12.1: The Optum Health Algorithm — How Cost Became a Proxy for Race
- Case Study 12.2: Skin Lesion Classifiers and Demographic Gaps — When Dermatology AI Fails Darker Skin
- Key Takeaways: Chapter 12 — Bias in Healthcare AI
- Exercises: Chapter 12 — Bias in Healthcare AI
- Quiz: Chapter 12 — Bias in Healthcare AI
- Further Reading: Chapter 12 — Bias in Healthcare AI
Part 3: Transparency and Explainability
- Part 3: Transparency and Explainability — The Right to Understand
- Chapter 13: The Black Box Problem
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Chapter 14: Explainable AI (XAI) Techniques
- Case Study 14.1: SHAP in Practice — How a Bank Used Explainability to Detect Hidden Discrimination
- Case Study 14.2: When Explanation Goes Wrong — Adversarial XAI and the Limits of Post-Hoc Methods
- Chapter 14: Key Takeaways, Vocabulary, Core Tensions, and Questions to Carry Forward
- Chapter 14: Exercises
- Chapter 14: Quiz — Explainable AI (XAI) Techniques
- Chapter 14: Further Reading and Annotated Bibliography
- Chapter 15: Communicating AI Decisions to Stakeholders
- Chapter 16: Transparency in AI Marketing and Advertising
- Chapter 17: The Right to Explanation
Part 4: Accountability and Responsibility
- Part 4: Accountability and Responsibility — Who Answers When AI Harms?
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Chapter 18: Who Is Responsible When AI Fails?
- Case Study 18-1: The Uber Self-Driving Car Fatality — Accountability in Autonomous Systems
- Case Study 18-2: The Facebook Whistleblower and Corporate Accountability — Frances Haugen
- Chapter 18: Key Takeaways — Who Is Responsible When AI Fails?
- Chapter 18: Exercises — Who Is Responsible When AI Fails?
- Chapter 18: Quiz — Who Is Responsible When AI Fails?
- Chapter 18: Further Reading — Who Is Responsible When AI Fails?
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Chapter 19: Auditing AI Systems
- Case Study 19-1: NYC Local Law 144 — The First US Mandatory AI Bias Audit Law
- Case Study 19-2: ProPublica's COMPAS Audit — External Auditing from Output Data Alone
- Chapter 19: Key Takeaways — Auditing AI Systems
- Chapter 19: Exercises — Auditing AI Systems
- Chapter 19: Quiz — Auditing AI Systems
- Chapter 19: Further Reading — Auditing AI Systems
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Chapter 20: Liability Frameworks for AI
- Case Study 20-1: Artist Litigation Against Generative AI — The Copyright Frontier
- Case Study 20-2: COMPAS and Due Process — What Constitutional Law Says About Algorithmic Risk Assessment
- Chapter 20: Key Takeaways — Liability Frameworks for AI
- Chapter 20: Exercises — Liability Frameworks for AI
- Chapter 20: Quiz — Liability Frameworks for AI
- Chapter 20: Further Reading — Liability Frameworks for AI
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Chapter 21: Corporate Governance of AI
- Case Study 21.1: Microsoft's Responsible AI Journey — Building Governance That Works
- Case Study 21.2: The Axon Ethics Board Resignation — When Governance Has No Power
- Chapter 21: Key Takeaways — Corporate Governance of AI
- Chapter 21: Exercises — Corporate Governance of AI
- Chapter 21: Quiz — Corporate Governance of AI
- Chapter 21: Further Reading — Corporate Governance of AI
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Chapter 22: Whistleblowing and Ethical Dissent in AI Organizations
- Case Study 22.1: Timnit Gebru and the Limits of Internal AI Ethics at Google
- Case Study 22.2: Frances Haugen and the Facebook Whistleblower Model
- Chapter 22: Key Takeaways — Whistleblowing and Ethical Dissent in AI Organizations
- Chapter 22: Exercises — Whistleblowing and Ethical Dissent in AI Organizations
- Chapter 22: Quiz — Whistleblowing and Ethical Dissent in AI Organizations
- Chapter 22: Further Reading — Whistleblowing and Ethical Dissent in AI Organizations
Part 5: Privacy and Security
- Part 5: Privacy and Security — The Surveillance Dimension of AI Ethics
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Chapter 23: Data Privacy Fundamentals
- Case Study 23-1: Cambridge Analytica — The Data Scandal That Changed Privacy Law
- Case Study 23-2: The Google DeepMind / NHS Data Scandal
- Chapter 23: Key Takeaways — Data Privacy Fundamentals
- Chapter 23: Exercises — Data Privacy Fundamentals
- Chapter 23: Quiz — Data Privacy Fundamentals
- Chapter 23: Further Reading — Data Privacy Fundamentals
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Chapter 24: Surveillance Capitalism and AI
- Case Study 24-1: Facebook and the Surveillance Capitalism Business Model
- Case Study 24-2: Workplace Surveillance — Amazon's Warehouse Worker Monitoring
- Chapter 24: Key Takeaways — Surveillance Capitalism and AI
- Chapter 24: Exercises — Surveillance Capitalism and AI
- Chapter 24: Quiz — Surveillance Capitalism and AI
- Chapter 24: Further Reading — Surveillance Capitalism and AI
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Chapter 25: Cybersecurity and AI Systems
- Case Study 25-1: Adversarial Attacks in the Wild — Real-World AI Security Failures
- Case Study 25-2: AI-Powered Phishing and Social Engineering — The Criminal Frontier
- Chapter 25: Key Takeaways — Cybersecurity and AI Systems
- Chapter 25: Exercises — Cybersecurity and AI Systems
- Chapter 25: Quiz — Cybersecurity and AI Systems
- Chapter 25: Further Reading — Cybersecurity and AI Systems
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Chapter 26: Biometrics and Facial Recognition Ethics
- Case Study 26-1: Robert Williams and the Wrongful Arrest — Facial Recognition Accountability in Practice
- Case Study 26-2: Clearview AI — The Privatization of Surveillance
- Chapter 26: Key Takeaways — Biometrics and Facial Recognition Ethics
- Chapter 26: Exercises — Biometrics and Facial Recognition Ethics
- Chapter 26: Quiz — Biometrics and Facial Recognition Ethics
- Chapter 26: Further Reading — Biometrics and Facial Recognition Ethics
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Chapter 27: Privacy-Preserving AI Techniques
- Case Study 27-1: Federated Learning in Healthcare — Google's Partnership with Mayo Clinic
- Case Study 27-2: The US Census Bureau and Differential Privacy — Protecting Americans While Counting Them
- Chapter 27: Key Takeaways — Privacy-Preserving AI Techniques
- Chapter 27: Exercises — Privacy-Preserving AI Techniques
- Chapter 27: Quiz — Privacy-Preserving AI Techniques
- Chapter 27: Further Reading — Privacy-Preserving AI Techniques
Part 6: Societal Impact and Governance
- Part 6: Societal Impact and Governance — AI at the Scale of Society
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Chapter 28: AI and Employment — Disruption and Opportunity
- Case Study 28-1: The Writers Guild Strike and AI in Creative Industries
- Case Study 28-2: Amazon Warehouse Workers and Algorithmic Management
- Chapter 28: Key Takeaways — AI and Employment
- Chapter 28: Exercises — AI and Employment
- Chapter 28: Quiz — AI and Employment
- Chapter 28: Further Reading — AI and Employment
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Chapter 29: AI and Democratic Processes
- Case Study 29-1: Facebook, Algorithms, and the Myanmar Genocide
- Case Study 29-2: Deepfakes in the 2024 Election Cycle
- Chapter 29: Key Takeaways — AI and Democratic Processes
- Chapter 29: Exercises — AI and Democratic Processes
- Chapter 29: Quiz — AI and Democratic Processes
- Chapter 29: Further Reading — AI and Democratic Processes
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Chapter 30: AI in Criminal Justice Systems
- Case Study 30-1: The COMPAS Controversy — From ProPublica Investigation to Policy Change
- Case Study 30-2: ShotSpotter and the Evidence-Free Surveillance Tool
- Chapter 30: Key Takeaways — AI in Criminal Justice Systems
- Chapter 30: Exercises — AI in Criminal Justice Systems
- Chapter 30: Quiz — AI in Criminal Justice Systems
- Chapter 30: Further Reading — AI in Criminal Justice Systems
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Chapter 31: The Environmental Cost of AI
- Case Study 31-1: Training GPT-4 and the Carbon Accounting Problem
- Case Study 31-2: AI and the Global Water Crisis — Data Centers in Drought Regions
- Chapter 31: Key Takeaways — The Environmental Cost of AI
- Chapter 31: Exercises — The Environmental Cost of AI
- Chapter 31: Quiz — The Environmental Cost of AI
- Chapter 31: Further Reading — The Environmental Cost of AI
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Chapter 32: Global AI Governance Frameworks
- Case Study 1: The Brussels Effect — How the EU Shapes Global AI Regulation
- Case Study 2: AI Governance in the Global South — Africa's Draft Continental AI Strategy
- Chapter 32: Key Takeaways — Global AI Governance Frameworks
- Chapter 32: Exercises — Global AI Governance Frameworks
- Chapter 32: Quiz — Global AI Governance Frameworks
- Chapter 32: Further Reading — Global AI Governance Frameworks
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Chapter 33: Regulation and Compliance — GDPR, EU AI Act, and Beyond
- Case Study 1: EU AI Act Compliance — What a High-Risk AI Hiring Tool Requires
- Case Study 2: The CFPB and Algorithmic Lending — US Regulatory Enforcement in Action
- Chapter 33: Key Takeaways — Regulation and Compliance: GDPR, EU AI Act, and Beyond
- Chapter 33: Exercises — Regulation and Compliance: GDPR, EU AI Act, and Beyond
- Chapter 33: Quiz — Regulation and Compliance: GDPR, EU AI Act, and Beyond
- Chapter 33: Further Reading — Regulation and Compliance: GDPR, EU AI Act, and Beyond
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Chapter 34: AI Ethics in Emerging Markets
- Case Study 1: Content Moderation and the African Labor Force — Inside the Sama Group Controversy
- Case Study 2: Huawei's Safe City Programs in Africa — AI Surveillance and Democratic Governance
- Chapter 34: Key Takeaways — AI Ethics in Emerging Markets
- Chapter 34: Exercises — AI Ethics in Emerging Markets
- Chapter 34: Quiz — AI Ethics in Emerging Markets
- Chapter 34: Further Reading — AI Ethics in Emerging Markets
Part 7: Emerging Issues and Special Topics
- Part 7: Emerging Issues — At the Frontier of AI Ethics
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Chapter 35: Generative AI Ethics
- Case Study 35.1: The Schwartz Case — Legal Hallucination and Professional Liability
- Case Study 35.2: Non-Consensual Intimate Imagery — The Generative AI Harm Frontier
- Chapter 35: Key Takeaways — Generative AI Ethics
- Chapter 35: Exercises — Generative AI Ethics
- Chapter 35: Quiz — Generative AI Ethics
- Chapter 35: Further Reading — Generative AI Ethics
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Chapter 36: AI in Healthcare Decision-Making
- Case Study 36.1: IBM Watson for Oncology — The Rise and Fall of AI's Healthcare Moonshot
- Case Study 36.2: The Epic Deterioration Index and Opaque Clinical AI
- Chapter 36: Key Takeaways — AI in Healthcare Decision-Making
- Chapter 36: Exercises — AI in Healthcare Decision-Making
- Chapter 36: Quiz — AI in Healthcare Decision-Making
- Chapter 36: Further Reading — AI in Healthcare Decision-Making
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Chapter 37: Autonomous Weapons and Military AI
- Case Study 37.1: Project Maven and the Tech-Military Complex
- Case Study 37.2: The Kargu-2 Report and the Autonomous Weapons Threshold
- Chapter 37: Key Takeaways — Autonomous Weapons and Military AI
- Chapter 37: Exercises — Autonomous Weapons and Military AI
- Chapter 37: Quiz — Autonomous Weapons and Military AI
- Chapter 37: Further Reading — Autonomous Weapons and Military AI
- Chapter 38: AI Consciousness, Rights, and Moral Status
- Chapter 39: The Future of AI Ethics: Anticipating Tomorrow's Challenges
Part 8: Capstone Projects
Appendices
- Appendix A: Glossary of Key Terms
- Appendix B: Answers to Selected Exercises
- Appendix C: Bibliography
- Appendix A: Research Methods Primer
- Appendix B: Key Studies Summary
- Appendix C: Primary Source Anthology
- Appendix D: Historical Timeline of AI Ethics
- Appendix E: Argument Maps
- Appendix F: Templates and Worksheets
- Appendix G: Quick Reference Cards
- Appendix H: Resource Directory
- Appendix I: Frequently Asked Questions
- Appendix B: Python Reference for AI Fairness Auditing
AI Literacy: Understanding Artificial Intelligence for Everyone
Frontmatter
Part II: How AI Works
Part III: AI in Action
Part IV: AI and Society
Part V: Living with AI
Part VI: The Bigger Picture
Capstones
Appendices
- Appendix A: Research Methods Primer — Evaluating AI Research Claims
- Appendix B: Key Studies Summary — Landmark Research Referenced in This Book
- Appendix C: Historical Timeline — AI from 1943 to the Present
- Appendix D: Templates and Worksheets — AI Audit Report
- Appendix E: Python Environment Setup Guide
- Appendix F: Glossary
- Appendix G: Index
- Appendix H: Answers to Selected Exercises
- Appendix I: Bibliography
AI & Machine Learning for Business
Front Matter
Part 1: Foundations of AI for Business
- Part 1: Foundations of AI for Business
-
Chapter 1: The AI-Powered Organization
- Chapter 1 Exercises: The AI-Powered Organization
- Chapter 1 Quiz: The AI-Powered Organization
- Case Study 1: Netflix's Recommendation Engine — From DVD Ratings to Algorithmic Culture
- Case Study 2: IBM Watson Health — When AI Ambition Outpaced Reality
- Chapter 1 Key Takeaways: The AI-Powered Organization
- Chapter 1 Further Reading: The AI-Powered Organization
- Chapter 2: Thinking Like a Data Scientist
-
Chapter 3: Python for the Business Professional
- Chapter 3 Exercises: Python for the Business Professional
- Chapter 3 Quiz: Python for the Business Professional
- Case Study 1: JP Morgan's COIN — How Python Replaced 360,000 Hours of Legal Work
- Case Study 2: From Spreadsheet to Script — A Marketing Team's Python Journey
- Chapter 3 Key Takeaways: Python for the Business Professional
- Chapter 3 Further Reading: Python for the Business Professional
- Chapter 4: Data Strategy and Data Literacy
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Chapter 5: Exploratory Data Analysis
- Chapter 5 Exercises: Exploratory Data Analysis
- Chapter 5 Quiz: Exploratory Data Analysis
- Case Study 1: The Challenger Disaster — How a Chart Could Have Saved Seven Lives
- Case Study 2: Spotify Wrapped — EDA as a Product Feature
- Chapter 5 Key Takeaways: Exploratory Data Analysis
- Chapter 5 Further Reading: Exploratory Data Analysis
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Chapter 6: The Business of Machine Learning
- Chapter 6 Exercises: The Business of Machine Learning
- Chapter 6 Quiz: The Business of Machine Learning
- Case Study 1: Google Flu Trends — Big Data Hubris and the Limits of Prediction
- Case Study 2: Stitch Fix — Machine Learning as Core Business Strategy
- Chapter 6 Key Takeaways: The Business of Machine Learning
- Chapter 6 Further Reading: The Business of Machine Learning
Part 2: Core Machine Learning for Business
- Part 2: Core Machine Learning for Business
-
Chapter 7: Supervised Learning -- Classification
- Chapter 7 Exercises: Supervised Learning -- Classification
- Chapter 7 Quiz: Supervised Learning -- Classification
- Case Study 1: American Express -- Predicting Customer Attrition Before It Happens
- Case Study 2: ZestFinance -- When Credit Scoring Meets Machine Learning
- Chapter 7 Key Takeaways: Supervised Learning -- Classification
- Chapter 7 Further Reading: Supervised Learning -- Classification
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Chapter 8: Supervised Learning — Regression
- Chapter 8 Exercises: Supervised Learning — Regression
- Chapter 8 Quiz: Supervised Learning — Regression
- Case Study 1: Walmart's Demand Forecasting — Scale, Speed, and Strawberry Pop-Tarts
- Case Study 2: Zillow's Zestimate — When Regression Models Meet the Real Estate Market
- Chapter 8 Key Takeaways: Supervised Learning — Regression
- Chapter 8 Further Reading: Supervised Learning — Regression
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Chapter 9: Unsupervised Learning
- Chapter 9 Exercises: Unsupervised Learning
- Chapter 9 Quiz: Unsupervised Learning
- Case Study 1: Spotify's Discover Weekly — Clustering Taste in a Sea of Music
- Case Study 2: PayPal's Anomaly Detection — Finding Fraud Without Labels
- Chapter 9 Key Takeaways: Unsupervised Learning
- Chapter 9 Further Reading: Unsupervised Learning
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Chapter 10: Recommendation Systems
- Chapter 10 Exercises: Recommendation Systems
- Chapter 10 Quiz: Recommendation Systems
- Case Study 1: Amazon's Recommendation Engine — The Store That Knows You
- Case Study 2: TikTok's For You Page — The Most Powerful Recommendation Algorithm in the World
- Chapter 10 Key Takeaways: Recommendation Systems
- Chapter 10 Further Reading: Recommendation Systems
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Chapter 11: Model Evaluation and Selection
- Chapter 11 Exercises: Model Evaluation and Selection
- Chapter 11 Quiz: Model Evaluation and Selection
- Case Study 1: Google's Ad Click Prediction — Optimizing for Billions of Micro-Decisions
- Case Study 2: The $440 Million Knight Capital Disaster — When Model Deployment Goes Wrong
- Chapter 11 Key Takeaways: Model Evaluation and Selection
- Chapter 11 Further Reading: Model Evaluation and Selection
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Chapter 12: From Model to Production — MLOps
- Chapter 12 Exercises: From Model to Production — MLOps
- Chapter 12 Quiz: From Model to Production — MLOps
- Case Study 1: Uber's Michelangelo — Building an ML Platform at Scale
- Case Study 2: Booking.com — 150 Teams, One ML Platform
- Chapter 12 Key Takeaways: From Model to Production — MLOps
- Chapter 12 Further Reading: From Model to Production — MLOps
Part 3: Deep Learning and Specialized AI
- Part 3: Deep Learning and Specialized AI
-
Chapter 13: Neural Networks Demystified
- Chapter 13 Exercises: Neural Networks Demystified
- Chapter 13 Quiz: Neural Networks Demystified
- Case Study 1: AlphaGo — The Day Deep Learning Beat Human Intuition
- Case Study 2: Tesla's Neural Networks — Deep Learning on Wheels
- Chapter 13 Key Takeaways: Neural Networks Demystified
- Chapter 13 Further Reading: Neural Networks Demystified
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Chapter 14: NLP for Business
- Chapter 14 Exercises: NLP for Business
- Chapter 14 Quiz: NLP for Business
- Case Study 1: Airbnb's Natural Language Processing — Turning Reviews into Revenue
- Case Study 2: Bloomberg's NLP Empire — Reading the Financial World at Machine Speed
- Chapter 14 Key Takeaways: NLP for Business
- Chapter 14 Further Reading: NLP for Business
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Chapter 15: Computer Vision for Business
- Chapter 15 Exercises: Computer Vision for Business
- Chapter 15 Quiz: Computer Vision for Business
- Case Study 1: Amazon Go — Computer Vision Reinvents the Store
- Case Study 2: Seeing AI by Microsoft — Computer Vision as Accessibility
- Chapter 15 Key Takeaways: Computer Vision for Business
- Chapter 15 Further Reading: Computer Vision for Business
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Chapter 16: Time Series Forecasting
- Chapter 16 Exercises: Time Series Forecasting
- Chapter 16 Quiz: Time Series Forecasting
- Case Study 1: Procter & Gamble's Demand Sensing — From Forecast to Sense-and-Respond
- Case Study 2: The 2020 Forecasting Crisis — When All Models Broke
- Chapter 16 Key Takeaways: Time Series Forecasting
- Chapter 16 Further Reading: Time Series Forecasting
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Chapter 17: Generative AI — Large Language Models
- Chapter 17 Exercises: Generative AI — Large Language Models
- Chapter 17 Quiz: Generative AI — Large Language Models
- Case Study 1: ChatGPT's First Year in Business — Hype, Hope, and Hard Lessons
- Case Study 2: BloombergGPT and the Case for Domain-Specific LLMs
- Chapter 17 Key Takeaways: Generative AI — Large Language Models
- Chapter 17 Further Reading: Generative AI — Large Language Models
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Chapter 18: Generative AI — Multimodal
- Chapter 18 Exercises: Generative AI — Multimodal
- Chapter 18 Quiz: Generative AI — Multimodal
- Case Study 1: Getty Images vs. Stability AI — The Copyright Battle That Could Shape AI's Future
- Case Study 2: Coca-Cola's AI-Generated Advertising — A Campaign Study in Human-AI Creative Collaboration
- Chapter 18 Key Takeaways: Generative AI — Multimodal
- Chapter 18 Further Reading: Generative AI — Multimodal
Part 4: Prompt Engineering and AI Tools
- Part 4: Prompt Engineering and AI Tools
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Chapter 19: Prompt Engineering Fundamentals
- Chapter 19 Exercises: Prompt Engineering Fundamentals
- Chapter 19 Quiz: Prompt Engineering Fundamentals
- Case Study 1: GitHub Copilot — Prompt Engineering for Code
- Case Study 2: Jasper AI and the Marketing Prompt Revolution
- Chapter 19 Key Takeaways: Prompt Engineering Fundamentals
- Chapter 19 Further Reading: Prompt Engineering Fundamentals
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Chapter 20: Advanced Prompt Engineering
- Chapter 20 Exercises: Advanced Prompt Engineering
- Chapter 20 Quiz: Advanced Prompt Engineering
- Case Study 1: Anthropic's Constitutional AI — Teaching AI to Critique Itself
- Case Study 2: McKinsey's AI-Augmented Consulting — Prompt Chains in Professional Services
- Chapter 20 Key Takeaways: Advanced Prompt Engineering
- Chapter 20 Further Reading: Advanced Prompt Engineering
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Chapter 21: AI-Powered Workflows
- Chapter 21 Exercises: AI-Powered Workflows
- Chapter 21 Quiz: AI-Powered Workflows
- Case Study 1: Notion AI — RAG at the Heart of a Productivity Tool
- Case Study 2: Morgan Stanley's AI Assistant — RAG for Wealth Management
- Chapter 21 Key Takeaways: AI-Powered Workflows
- Chapter 21 Further Reading: AI-Powered Workflows
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Chapter 22: No-Code / Low-Code AI
- Chapter 22 Exercises: No-Code / Low-Code AI
- Chapter 22 Quiz: No-Code / Low-Code AI
- Case Study 1: DataRobot vs. Hand-Coded ML — A Head-to-Head Comparison
- Case Study 2: Samsung's Shadow AI Crisis — When Employees Leaked Code to ChatGPT
- Chapter 22 Key Takeaways: No-Code / Low-Code AI
- Chapter 22 Further Reading: No-Code / Low-Code AI
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Chapter 23: Cloud AI Services and APIs
- Chapter 23 Exercises: Cloud AI Services and APIs
- Chapter 23 Quiz: Cloud AI Services and APIs
- Case Study 1: Airbnb's Migration to Cloud AI — Lessons in Scale and Cost
- Case Study 2: Capital One's Cloud-First AI Strategy — Going All-In on AWS
- Chapter 23 Key Takeaways: Cloud AI Services and APIs
- Chapter 23 Further Reading: Cloud AI Services and APIs
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Chapter 24: AI for Marketing and Customer Experience
- Chapter 24 Exercises: AI for Marketing and Customer Experience
- Chapter 24 Quiz: AI for Marketing and Customer Experience
- Case Study 1: Sephora's AI-Powered Beauty Experience — Personalization Done Right
- Case Study 2: Cambridge Analytica — When Marketing AI Crosses the Line
- Chapter 24 Key Takeaways: AI for Marketing and Customer Experience
- Chapter 24 Further Reading: AI for Marketing and Customer Experience
Part 5: AI Ethics, Bias, and Governance
- Part 5: AI Ethics, Bias, and Governance
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Chapter 25: Bias in AI Systems
- Chapter 25 Exercises: Bias in AI Systems
- Chapter 25 Quiz: Bias in AI Systems
- Case Study 1: Amazon's AI Recruiting Tool — The Algorithm That Learned to Discriminate
- Case Study 2: COMPAS and Criminal Justice — When Algorithms Judge
- Chapter 25 Key Takeaways: Bias in AI Systems
- Chapter 25 Further Reading: Bias in AI Systems
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Chapter 26: Fairness, Explainability, and Transparency
- Chapter 26 Exercises: Fairness, Explainability, and Transparency
- Chapter 26 Quiz: Fairness, Explainability, and Transparency
- Case Study 1: Apple Card and Gender Bias — When Explainability Fails
- Case Study 2: FICO's Explainable AI Journey — Making Credit Scoring Transparent
- Chapter 26 Key Takeaways: Fairness, Explainability, and Transparency
- Chapter 26 Further Reading: Fairness, Explainability, and Transparency
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Chapter 27: AI Governance Frameworks
- Chapter 27 Exercises: AI Governance Frameworks
- Chapter 27 Quiz: AI Governance Frameworks
- Case Study 1: Microsoft's Responsible AI Standard — Governance at Scale
- Case Study 2: The Boeing 737 MAX MCAS — What Happens Without AI Governance
- Chapter 27 Key Takeaways: AI Governance Frameworks
- Chapter 27 Further Reading: AI Governance Frameworks
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Chapter 28: AI Regulation --- Global Landscape
- Chapter 28 Exercises: AI Regulation --- Global Landscape
- Chapter 28 Quiz: AI Regulation --- Global Landscape
- Case Study 1: The EU AI Act --- From Proposal to Law
- Case Study 2: NYC Local Law 144 --- The First AI Hiring Law in Practice
- Chapter 28 Key Takeaways: AI Regulation --- Global Landscape
- Chapter 28 Further Reading: AI Regulation --- Global Landscape
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Chapter 29: Privacy, Security, and AI
- Chapter 29 Exercises: Privacy, Security, and AI
- Chapter 29 Quiz: Privacy, Security, and AI
- Case Study 1: The Equifax Breach — When AI-Relevant Data Becomes a Liability
- Case Study 2: Apple's Differential Privacy — Privacy-Preserving AI at Scale
- Chapter 29 Key Takeaways: Privacy, Security, and AI
- Chapter 29 Further Reading: Privacy, Security, and AI
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Chapter 30: Responsible AI in Practice
- Chapter 30 Exercises: Responsible AI in Practice
- Chapter 30 Quiz: Responsible AI in Practice
- Case Study 1: Google's AI Ethics Board — 10 Days from Launch to Dissolution
- Case Study 2: Salesforce's Office of Ethical and Humane Use — Operationalizing Responsible AI
- Chapter 30 Key Takeaways: Responsible AI in Practice
- Chapter 30 Further Reading: Responsible AI in Practice
Part 6: AI Strategy and Organizational Transformation
- Part 6: AI Strategy and Organizational Transformation
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Chapter 31: AI Strategy for the C-Suite
- Chapter 31 Exercises: AI Strategy for the C-Suite
- Chapter 31 Quiz: AI Strategy for the C-Suite
- Case Study 1: Ping An — The Insurance Company That Became an AI Company
- Case Study 2: GE's Predix — The AI Strategy That Failed
- Chapter 31 Key Takeaways: AI Strategy for the C-Suite
- Chapter 31 Further Reading: AI Strategy for the C-Suite
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Chapter 32: Building and Managing AI Teams
- Chapter 32 Exercises: Building and Managing AI Teams
- Chapter 32 Quiz: Building and Managing AI Teams
- Case Study 1: Spotify's ML Guild — Scaling AI Expertise Across Squads
- Case Study 2: JPMorgan's AI Training Program — Upskilling 60,000 Employees
- Chapter 32 Key Takeaways: Building and Managing AI Teams
- Chapter 32 Further Reading: Building and Managing AI Teams
-
Chapter 33: AI Product Management
- Chapter 33 Exercises: AI Product Management
- Chapter 33 Quiz: AI Product Management
- Case Study 1: Duolingo's AI-Powered Learning — Product Management for Personalization
- Case Study 2: Google Search's AI Evolution — Managing a Probabilistic Product at Billions of Scale
- Chapter 33 Key Takeaways: AI Product Management
- Chapter 33 Further Reading: AI Product Management
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Chapter 34: Measuring AI ROI
- Chapter 34 Exercises: Measuring AI ROI
- Chapter 34 Quiz: Measuring AI ROI
- Case Study 1: McKinsey's AI ROI Research — What Separates AI Leaders from Laggards
- Case Study 2: Waymo's Long Road to ROI — When AI Value Takes a Decade
- Chapter 34 Key Takeaways: Measuring AI ROI
- Chapter 34 Further Reading: Measuring AI ROI
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Chapter 35: Change Management for AI
- Chapter 35 Exercises: Change Management for AI
- Chapter 35 Quiz: Change Management for AI
- Case Study 1: John Deere's AI Transformation — Changing a 185-Year-Old Company
- Case Study 2: The Luddite Lesson — What the Original Machine Breakers Actually Teach Us About AI
- Chapter 35 Key Takeaways: Change Management for AI
- Chapter 35 Further Reading: Change Management for AI
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Chapter 36: Industry Applications of AI
- Chapter 36 Exercises: Industry Applications of AI
- Chapter 36 Quiz: Industry Applications of AI
- Case Study 1: Mayo Clinic's AI Strategy — Transforming Healthcare with Caution and Ambition
- Case Study 2: Ant Financial / Ant Group — AI-First Financial Services in China
- Chapter 36 Key Takeaways: Industry Applications of AI
- Chapter 36 Further Reading: Industry Applications of AI
Part 7: The Future of AI in Business
- Part 7: The Future of AI in Business
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Chapter 37: Emerging AI Technologies
- Chapter 37 Exercises: Emerging AI Technologies
- Chapter 37 Quiz: Emerging AI Technologies
- Case Study 1: Devin and the AI Agent Revolution --- Software Engineering's GPT Moment
- Case Study 2: NVIDIA's AI Empire --- How a Graphics Card Company Became the Most Important AI Company
- Chapter 37 Key Takeaways: Emerging AI Technologies
- Chapter 37 Further Reading: Emerging AI Technologies
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Chapter 38: AI, Society, and the Future of Work
- Chapter 38 Exercises: AI, Society, and the Future of Work
- Chapter 38 Quiz: AI, Society, and the Future of Work
- Case Study 1: Klarna's AI Workforce Transformation --- Efficiency at What Cost?
- Case Study 2: Denmark's "Flexicurity" Model --- A Policy Framework for AI Transition
- Chapter 38 Key Takeaways: AI, Society, and the Future of Work
- Chapter 38 Further Reading: AI, Society, and the Future of Work
Part 8: Capstone
- Part 8: Capstone
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Chapter 39: Capstone — AI Transformation Plan
- Chapter 39 Exercises: Capstone — AI Transformation Plan
- Chapter 39 Quiz: Capstone — AI Transformation Plan
- Case Study 1: DBS Bank — The World's Best Digital Transformation
- Case Study 2: Maersk's AI-Powered Supply Chain — Transforming the World's Largest Container Shipping Company
- Chapter 39 Key Takeaways: Capstone — AI Transformation Plan
- Chapter 39 Further Reading: Capstone — AI Transformation Plan
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Chapter 40: Leading in the AI Era
- Chapter 40 Exercises: Leading in the AI Era
- Chapter 40 Quiz: Leading in the AI Era
- Case Study 1: Satya Nadella's Microsoft — A Case Study in AI-Era Leadership
- Case Study 2: The AI Leaders of Tomorrow — Five Emerging Leaders Shaping Responsible AI
- Chapter 40 Key Takeaways: Leading in the AI Era
- Chapter 40 Further Reading: Leading in the AI Era
Artificial Intelligence Engineering
Front Matter
Part I: Mathematical and Computational Foundations
- Part I: Mathematical and Computational Foundations
- Chapter 1: The Landscape of AI Engineering
- Chapter 2: Linear Algebra for AI
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Chapter 3: Calculus, Optimization, and Automatic Differentiation
- Chapter 3 Exercises: Calculus, Optimization, and Automatic Differentiation
- Chapter 3 Quiz: Calculus, Optimization, and Automatic Differentiation
- Case Study 1: Optimizing a Neural Network Loss Landscape
- Case Study 2: Building an Automatic Differentiation Engine from Scratch
- Chapter 3 Key Takeaways
- Chapter 3 Further Reading
- Chapter 4: Probability, Statistics, and Information Theory
- Chapter 5: Python for AI Engineering
Part II: Machine Learning Fundamentals
- Part II: Machine Learning Fundamentals
- Chapter 6: Supervised Learning: Regression and Classification
- Chapter 7: Unsupervised Learning and Dimensionality Reduction
- Chapter 8: Model Evaluation, Selection, and Validation
- Chapter 9: Feature Engineering and Data Pipelines
- Chapter 10: Probabilistic and Bayesian Methods
Part III: Deep Learning Foundations
- Part III: Deep Learning Foundations
- Chapter 11: Neural Networks from Scratch
- Chapter 12: Training Deep Networks
- Chapter 13: Regularization and Generalization
- Chapter 14: Convolutional Neural Networks
- Chapter 15: Recurrent Neural Networks and Sequence Modeling
- Chapter 16: Autoencoders and Representation Learning
- Chapter 17: Generative Adversarial Networks
Part IV: Attention, Transformers, and Language Models
- Part IV: Attention, Transformers, and Language Models
- Chapter 18: The Attention Mechanism
- Chapter 19: The Transformer Architecture
- Chapter 20: Pre-training and Transfer Learning for NLP
- Chapter 21: Decoder-Only Models and Autoregressive Language Models
- Chapter 22: Scaling Laws and Large Language Models
- Chapter 23: Prompt Engineering and In-Context Learning
- Chapter 24: Fine-Tuning Large Language Models
- Chapter 25: Alignment: RLHF, DPO, and Beyond
Part V: Beyond Text — Multimodal and Generative AI
Part VI: AI Systems Engineering
Part VII: Advanced and Emerging Topics
Part VIII: The Frontier
Part IX: Capstone Projects
Algorithmic Addiction: The Dark Pattern Psychology of Social Media
Part I: Foundations
- Part I: The Hook
- Chapter 1: The Attention Economy — What Your Eyes Are Worth
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Chapter 2: The Long History of Persuasion Technology
- Chapter 2 Exercises: The Long History of Persuasion Technology
- Chapter 2 Quiz: The Long History of Persuasion Technology
- Case Study 2.1: Edward Bernays and the "Torches of Freedom" (1929)
- Case Study 2.2: The Nielsen Rating and the Proto-Engagement Metric
- Chapter 2 Key Takeaways: The Long History of Persuasion Technology
- Chapter 2 Further Reading: The Long History of Persuasion Technology
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Chapter 3: What Is Algorithmic Addiction?
- Chapter 3 Exercises: What Is Algorithmic Addiction?
- Chapter 3 Quiz: What Is Algorithmic Addiction?
- Case Study 3.1: Gaming Disorder and the WHO ICD-11 — What the Recognition Process Teaches Us About Behavioral Addiction
- Case Study 3.2: The Facebook Whistleblower — What Internal Documents Revealed About Meta's Awareness
- Chapter 3 Key Takeaways: What Is Algorithmic Addiction?
- Chapter 3 Further Reading: What Is Algorithmic Addiction?
- Chapter 4: The Business Model of Engagement: How Attention Becomes Revenue
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Chapter 5: Your Brain Online — A Primer on Cognitive Vulnerabilities
- Chapter 5 Exercises: Your Brain Online
- Chapter 5 Quiz: Your Brain Online
- Case Study 1: The Brain on Smartphones — What the Ward et al. Study Really Found
- Case Study 2: Attention Residue — Why You Can't Focus After Checking Email
- Chapter 5 Key Takeaways: Your Brain Online
- Chapter 5 Further Reading: Your Brain Online
- Chapter 6: Who Builds These Systems?
Part II: Neuroscience of the Scroll
- Part II: Neuroscience of the Scroll
- Chapter 7: Dopamine Loops: The Neurochemistry of Engagement
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Chapter 8: Reward Prediction Error: How Your Brain Learns to Want the Scroll
- Chapter 8 Exercises: Reward Prediction Error and Anticipation
- Chapter 8 Quiz: Reward Prediction Error and Anticipation
- Case Study 1: Email Notification Psychology — Learned Anticipation and the Transformation of Attention
- Case Study 2: Snapchat Streaks — Reward Prediction Error and Loss Aversion in Adolescent Social Technology
- Chapter 8 Key Takeaways: Reward Prediction Error and Anticipation
- Chapter 8 Further Reading: Reward Prediction Error and Anticipation
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Chapter 9: Notifications as Triggers — The Architecture of Compulsive Checking
- Chapter 9 Exercises: Notifications as Triggers — The Architecture of Compulsive Checking
- Chapter 9 Quiz: Notifications as Triggers — The Architecture of Compulsive Checking
- Case Study 9.1: Gloria Mark and the 23-Minute Recovery — The Science of Attention Interruption
- Case Study 9.2: The Allow Notifications Prompt — How a Single Screen Shapes Billions of User Decisions
- Chapter 9 Key Takeaways: Notifications as Triggers — The Architecture of Compulsive Checking
- Chapter 9 Further Reading: Notifications as Triggers — The Architecture of Compulsive Checking
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Chapter 10: Social Rewards and the Approval Economy — Why Likes Feel Like Love
- Chapter 10 Exercises: Social Rewards and the Approval Economy — Why Likes Feel Like Love
- Chapter 10 Quiz: Social Rewards and the Approval Economy — Why Likes Feel Like Love
- Case Study 10.1: The Like Button — From "Awesome Button" to Global Approval Machine
- Case Study 10.2: Instagram's Like Count Experiment — What Hiding Numbers Revealed
- Chapter 10 Key Takeaways: Social Rewards and the Approval Economy — Why Likes Feel Like Love
- Chapter 10 Further Reading: Social Rewards and the Approval Economy — Why Likes Feel Like Love
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Chapter 11: Fear of Missing Out: The Social Anxiety Algorithm
- Chapter 11 Exercises: Fear of Missing Out
- Chapter 11 Quiz: Fear of Missing Out
- Case Study 11-1: The Instagram Envy Research — Passive Use, Wellbeing, and the Verduyn Studies
- Case Study 11-2: Snapchat's "Best Friends" Feature — Social Hierarchy, Anxiety, and the Persistence of FOMO Mechanics
- Chapter 11 Key Takeaways: Fear of Missing Out
- Chapter 11 Further Reading: Fear of Missing Out
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Chapter 12: Endless Feeds, Autoplay, and the Abolition of Stopping Cues
- Chapter 12 Exercises: Endless Feeds, Autoplay, and the Abolition of Stopping Cues
- Chapter 12 Quiz: Endless Feeds, Autoplay, and the Abolition of Stopping Cues
- Case Study 12-1: Netflix vs. Traditional Television — Autoplay, Binge-Watching, and the End of the Episode
- Case Study 12-2: Aza Raskin and the Infinite Scroll — Invention, Regret, and the Ethics of Design at Scale
- Chapter 12 Key Takeaways: Endless Feeds, Autoplay, and the Abolition of Stopping Cues
- Chapter 12 Further Reading: Endless Feeds, Autoplay, and the Abolition of Stopping Cues
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Chapter 13: Memory, Attention, and the Cognitive Cost of Scrolling
- Chapter 13 Exercises: Memory, Attention, and the Cognitive Cost of Scrolling
- Chapter 13 Quiz: Memory, Attention, and the Cognitive Cost of Scrolling
- Case Study 13-1: Gloria Mark's Interruption Research at UC Irvine — The 23-Minute Recovery and the Hidden Cost of Digital Distraction
- Case Study 13-2: The Multitasking Myth — Why Heavy Media Multitaskers Are Worse at Multitasking
- Chapter 13 Key Takeaways: Memory, Attention, and the Cognitive Cost of Scrolling
- Chapter 13 Further Reading: Memory, Attention, and the Cognitive Cost of Scrolling
Part III: Dark Patterns Taxonomy
- Part III: Dark Patterns Taxonomy
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Chapter 14: What Are Dark Patterns? A Taxonomy of Digital Manipulation
- Chapter 14 Exercises: What Are Dark Patterns?
- Chapter 14 Quiz: What Are Dark Patterns?
- Case Study 14.1: LinkedIn's "Your Network Is Waiting" — The Compulsive Growth Mechanic
- Case Study 14.2: Cookie Consent Dark Patterns — The Post-GDPR Manipulation Industry
- Chapter 14 Key Takeaways: What Are Dark Patterns?
- Chapter 14 Further Reading: What Are Dark Patterns?
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Chapter 15: Cognitive Biases: A Field Guide for Platform Designers
- Chapter 15 Exercises: Cognitive Biases — A Field Guide for Platform Designers
- Chapter 15 Quiz: Cognitive Biases — A Field Guide for Platform Designers
- Case Study 15.1: Nir Eyal's *Hooked* — How a Product Design Book Taught Engineers to Engineer Habits
- Case Study 15.2: Facebook's Emotional Contagion Experiment — Manipulating 689,000 Users Without Consent
- Chapter 15 Key Takeaways: Cognitive Biases — A Field Guide for Platform Designers
- Chapter 15 Further Reading: Cognitive Biases — A Field Guide for Platform Designers
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Chapter 16: Loss Aversion and the Streak Mechanic
- Chapter 16: Exercises — Loss Aversion and the Streak Mechanic
- Chapter 16: Quiz — Loss Aversion and the Streak Mechanic
- Case Study 16-1: Duolingo's Streak Machine — When Language Learning Became Loss Prevention
- Case Study 16-2: Snapchat Streaks and Teenage Anxiety — When Digital Numbers Enter Real Friendships
- Chapter 16: Key Takeaways — Loss Aversion and the Streak Mechanic
- Chapter 16: Further Reading — Loss Aversion and the Streak Mechanic
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Chapter 17: Social Proof and Manufactured Consensus
- Chapter 17: Exercises — Social Proof and Manufactured Consensus
- Chapter 17: Quiz — Social Proof and Manufactured Consensus
- Case Study 17-1: The 2016 Election and the Architecture of Manufactured Consensus
- Case Study 17-2: Instagram Hiding Like Counts — What Happened When a Platform Removed Its Core Social Proof Signal
- Chapter 17: Key Takeaways — Social Proof and Manufactured Consensus
- Chapter 17: Further Reading — Social Proof and Manufactured Consensus
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Chapter 18: Reciprocity, Commitment, and the Psychology of Obligation
- Chapter 18 Exercises: Reciprocity, Commitment, and the Psychology of Obligation
- Chapter 18 Quiz: Reciprocity, Commitment, and the Psychology of Obligation
- Case Study 01: Facebook's Birthday Notification System
- Case Study 02: LinkedIn's Professional Obligation Engine
- Chapter 18 Key Takeaways: Reciprocity, Commitment, and the Psychology of Obligation
- Chapter 18 Further Reading: Reciprocity, Commitment, and the Psychology of Obligation
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Chapter 19: Parasocial Relationships and the Influencer Economy
- Chapter 19: Exercises — Parasocial Relationships and the Influencer Economy
- Chapter 19 Quiz — Parasocial Relationships and the Influencer Economy
- Case Study 01: The Parasocial Collapse — Shane Dawson and the Architecture of Fan Investment
- Case Study 02: The FTC and Influencer Disclosure — Regulating the Parasocial Marketplace
- Chapter 19: Key Takeaways — Parasocial Relationships and the Influencer Economy
- Chapter 19: Further Reading — Parasocial Relationships and the Influencer Economy
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Chapter 20: The Outrage Machine: How Anger Became the Algorithm's Fuel
- Chapter 20 Exercises: The Outrage Machine: Anger as Engagement
- Chapter 20 Quiz: The Outrage Machine: Anger as Engagement
- Case Study 01: The Facebook Internal Memo and the Outrage Algorithm
- Case Study 02: YouTube's Recommendation Algorithm and the Radicalization Pathway
- Chapter 20 Key Takeaways: The Outrage Machine: Anger as Engagement
- Chapter 20 Further Reading: The Outrage Machine: Anger as Engagement
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Chapter 21: Personalization, Filter Bubbles, and the Algorithmic Self
- Chapter 21 Exercises: Personalization, Filter Bubbles, and the Algorithmic Self
- Chapter 21 Quiz: Personalization, Filter Bubbles, and the Algorithmic Self
- Case Study 01: The Pariser Test — Two Accounts, Two Realities
- Case Study 02: The 2020 US Election — Dramatically Different Information Environments
- Chapter 21 Key Takeaways: Personalization, Filter Bubbles, and the Algorithmic Self
- Chapter 21 Further Reading: Personalization, Filter Bubbles, and the Algorithmic Self
Part IV: Platform Case Studies
- Part IV: Platform Case Studies
- Chapter 22: How Recommendation Algorithms Work: A Technical Introduction
- Chapter 23: TikTok's For You Page: The Most Powerful Recommendation System Ever Built
- Chapter 24: Facebook's News Feed: A Decade of Optimization Against Users
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Chapter 25: Instagram and the Comparison Trap
- Chapter 25 Exercises: Instagram and the Comparison Trap
- Chapter 25 Quiz: Instagram and the Comparison Trap
- Case Study 01: The Frances Haugen Disclosure — What Facebook Knew About Instagram and Teen Girls
- Case Study 02: Instagram vs. Reality — The Social Movement That Couldn't Fix What It Exposed
- Chapter 25 Key Takeaways: Instagram and the Comparison Trap
- Chapter 25 Further Reading: Instagram and the Comparison Trap
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Chapter 26: YouTube's Recommendation Engine and the Radicalization Pipeline
- Chapter 26 Exercises: YouTube's Recommendation Engine and the Radicalization Pipeline
- Chapter 26 Quiz: YouTube's Recommendation Engine and the Radicalization Pipeline
- Case Study 01: Guillaume Chaslot — The Engineer Who Built the Rabbit Hole
- Case Study 02: YouTube Kids and the Algorithm's Child Safety Failures — Elsagate, COPPA, and the Ongoing Challenge
- Chapter 26 Key Takeaways: YouTube's Recommendation Engine and the Radicalization Pipeline
- Chapter 26 Further Reading: YouTube's Recommendation Engine and the Radicalization Pipeline
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Chapter 27: Snapchat: Ephemerality, Streaks, and Teen Psychology
- Chapter 27 Exercises: Snapchat, Streaks, and Ephemerality
- Chapter 27 Quiz: Snapchat, Streaks, and Ephemerality
- Case Study 01: Snapchat Streak Culture and Teen Mental Health
- Case Study 02: Snap Map and Location Tracking Anxiety
- Chapter 27 Key Takeaways: Snapchat, Streaks, and Ephemerality
- Chapter 27 Further Reading: Snapchat, Streaks, and Ephemerality
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Chapter 28: Gamification: When Social Media Borrowed from the Casino
- Chapter 28 Exercises: Gaming Mechanics in Social Media
- Chapter 28 Quiz: Gaming Mechanics in Social Media
- Case Study 01: Foursquare's Mayorships and Badge System
- Case Study 02: Reddit's Karma and Awards System
- Chapter 28 Key Takeaways: Gaming Mechanics in Social Media
- Chapter 28 Further Reading: Gaming Mechanics in Social Media
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Chapter 29: A/B Testing Your Mind: Platforms as Psychological Laboratories
- Chapter 29 Exercises: A/B Testing Your Mind
- Chapter 29 Quiz: A/B Testing Your Mind
- Case Study 01: The Facebook Emotional Contagion Experiment (2014)
- Case Study 02: OkCupid's Public A/B Testing Disclosure (2014)
- Chapter 29 Key Takeaways: A/B Testing Your Mind
- Chapter 29 Further Reading: A/B Testing Your Mind
Part V: Societal & Cultural Impact
- Part V: Societal and Cultural Impact
-
Chapter 30: Mental Health and Social Media: Navigating the Evidence
- Chapter 30: Exercises — Mental Health and Social Media: Navigating the Evidence
- Chapter 30: Quiz — Mental Health and Social Media: Navigating the Evidence
- Case Study 01: The Surgeon General's Advisory on Social Media and Youth Mental Health (2023)
- Case Study 02: The Jonathan Haidt Controversy — "The Anxious Generation" and the Debate Over Evidence Standards
- Chapter 30: Key Takeaways — Mental Health and Social Media: Navigating the Evidence
- Chapter 30: Further Reading — Mental Health and Social Media: Navigating the Evidence
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Chapter 31: Adolescent Identity Formation in the Age of the Algorithm
- Chapter 31: Exercises — Adolescent Identity Formation in the Age of the Algorithm
- Chapter 31: Quiz — Adolescent Identity Formation in the Age of the Algorithm
- Case Study 01: Pro-Anorexia Content and Algorithmic Recommendation — When Algorithms Assign a Harmful Identity
- Case Study 02: LGBTQ+ Teens and Social Media — Community, Identity, and Harassment
- Chapter 31: Key Takeaways — Adolescent Identity Formation in the Age of the Algorithm
- Chapter 31: Further Reading — Adolescent Identity Formation in the Age of the Algorithm
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Chapter 32: Political Polarization and Algorithmic Amplification
- Chapter 32: Exercises — Political Polarization and Algorithmic Amplification
- Chapter 32: Quiz — Political Polarization and Algorithmic Amplification
- Case Study 01: Facebook and the 2020 US Election — Preparations, What Happened, and Aftermath
- Case Study 02: Facebook and the Myanmar Genocide — How Algorithmic Recommendation Helped Spread Anti-Rohingya Propaganda
- Chapter 32: Key Takeaways — Political Polarization and Algorithmic Amplification
- Chapter 32: Further Reading — Political Polarization and Algorithmic Amplification
- Chapter 33: Misinformation and Engagement Optimization: The Epistemic Crisis
- Chapter 34: The Creator Economy: When the Algorithm Becomes Your Boss
- Chapter 35: Global Disparities: How Algorithmic Addiction Hits Different Around the World
Part VI: Resistance, Reform & Agency
- Part VI: Resistance, Reform, and Agency
-
Chapter 36: Digital Minimalism — Reclaiming Intentional Technology Use
- Chapter 36: Exercises — Digital Minimalism
- Chapter 36: Quiz — Digital Minimalism
- Case Study 36-1: Hunt et al. (2018) — What Happened When Students Limited Social Media to 30 Minutes a Day
- Case Study 36-2: The 30-Day Digital Declutter — Newport's Evidence and Its Critics
- Chapter 36: Key Takeaways — Digital Minimalism
- Chapter 36: Further Reading — Digital Minimalism
-
Chapter 37: Cognitive Defense and Inoculation — Training Resistant Minds
- Chapter 37: Exercises — Cognitive Defense and Inoculation
- Chapter 37: Quiz — Cognitive Defense and Inoculation
- Case Study 37-1: The Bad News Game — Inoculation at Scale
- Case Study 37-2: Lateral Reading — What Expert Fact-Checkers Do That Novices Don't
- Chapter 37: Key Takeaways — Cognitive Defense and Inoculation
- Chapter 37: Further Reading — Cognitive Defense and Inoculation
-
Chapter 38: Regulatory Approaches — What Government Can and Cannot Do
- Chapter 38: Exercises — Regulatory Approaches
- Chapter 38: Quiz — Regulatory Approaches
- Case Study 38-1: The EU Digital Services Act — The World's Most Ambitious Platform Regulation
- Case Study 38-2: Section 230 — The 26 Words That Created the Modern Internet (And Maybe Broke Democracy)
- Chapter 38: Key Takeaways — Regulatory Approaches
- Chapter 38: Further Reading — Regulatory Approaches
-
Chapter 39: Design Ethics and Humane Technology: Building Differently
- Chapter 39 Exercises: Design Ethics and Humane Technology
- Chapter 39 Quiz: Design Ethics and Humane Technology
- Case Study 01: Tristan Harris and the Slide That Changed Everything
- Case Study 02: Wikipedia at 25: The Platform That Refused to Manipulate You
- Chapter 39 Key Takeaways: Design Ethics and Humane Technology
- Chapter 39 Further Reading: Design Ethics and Humane Technology
-
Chapter 40: Your Personal Manifesto — Digital Agency in an Algorithmic World
- Chapter 40 Exercises: Building Your Personal Manifesto
- Chapter 40 Quiz: Synthesis Assessment
- Case Study 1: The Facebook Papers — What Internal Documents Revealed About Algorithmic Harm
- Case Study 2: From Engagement to Agency — Three Users, Three Paths
- Key Takeaways: Algorithmic Addiction — The Dark Pattern Psychology of Social Media
- Further Reading: Annotated Bibliography
Part VII: Capstone
Appendices
- Appendix A: Research Methods Primer — How to Read Social Media Research
- Appendix B: Key Studies Summary — 50 Essential Studies
- Appendix C: Historical Timeline — From Penny Press to Algorithmic Feeds (1833–2025)
- Appendix D: Templates and Worksheets — Practical Tools for Digital Agency
- Appendix E: Glossary — 200+ Terms Defined
- Appendix F: Answers to Selected Exercises
- Appendix G: Bibliography — Sources and Further Reading
Applied Psychology for Everyday Life
Front Matter
Part 1: Foundations of the Mind
- Part 1: Foundations of the Mind
- Chapter 1: Why Psychology Matters — Understanding Yourself and Others
- Chapter 2: How the Brain Works — Neural Foundations of Behavior
-
Chapter 3: Perception and Consciousness — How We Experience Reality
- Chapter 3 Exercises: Perception and Consciousness
- Chapter 3 Quiz: Perception and Consciousness
- Case Study 01 — Jordan: The Performance Review
- Case Study 02 — Amara: The Text That Said Nothing
- Key Takeaways — Chapter 3: Perception and Consciousness
- Further Reading — Chapter 3: Perception and Consciousness
- Chapter 4: Cognitive Biases — When Thinking Goes Wrong
- Chapter 5: Memory — How We Learn, Forget, and Distort
- Chapter 6: Emotion — The Science of Feeling
- Chapter 7: Motivation and Drive — What Makes Us Move
Part 2: The Architecture of the Self
- Part 2: The Architecture of the Self
- Chapter 8: Personality — The Blueprint of Who You Are
- Chapter 9: Identity and Self-Concept — Who Do You Think You Are?
-
Chapter 10: Self-Esteem and Self-Efficacy — Confidence From the Inside Out
- Exercises — Chapter 10: Self-Esteem and Self-Efficacy
- Quiz — Chapter 10: Self-Esteem and Self-Efficacy
- Case Study 1: Jordan — The Caveat Problem
- Case Study 2: Amara — The Threshold Problem
- Key Takeaways — Chapter 10: Self-Esteem and Self-Efficacy
- Further Reading — Chapter 10: Self-Esteem and Self-Efficacy
-
Chapter 11: Values, Beliefs, and Meaning-Making — What You Stand For
- Exercises — Chapter 11: Values, Beliefs, and Meaning-Making
- Quiz — Chapter 11: Values, Beliefs, and Meaning-Making
- Case Study 1: Jordan — The Spreadsheet That Couldn't Decide
- Case Study 2: Amara — What She Actually Believes
- Key Takeaways — Chapter 11: Values, Beliefs, and Meaning-Making
- Further Reading — Chapter 11: Values, Beliefs, and Meaning-Making
- Chapter 12: Stress and Resilience — The Art of Bouncing Back
- Chapter 13: Self-Regulation — Mastering Your Inner World
-
Chapter 14: Psychological Development Across the Lifespan
- Exercises — Chapter 14: Psychological Development Across the Lifespan
- Quiz — Chapter 14: Psychological Development Across the Lifespan
- Case Study 1 — Chapter 14: Psychological Development Across the Lifespan
- Case Study 2 — Chapter 14: Psychological Development Across the Lifespan
- Key Takeaways — Chapter 14: Psychological Development Across the Lifespan
- Further Reading — Chapter 14: Psychological Development Across the Lifespan
Part 3: Relationships and Social Life
- Part 3: Relationships and Social Life
-
Chapter 15: Attachment — The Foundation of Human Connection
- Exercises — Chapter 15: Attachment — The Foundation of Human Connection
- Quiz — Chapter 15: Attachment — The Foundation of Human Connection
- Case Study 1 — Chapter 15: Attachment — The Foundation of Human Connection
- Case Study 2 — Chapter 15: Attachment — The Foundation of Human Connection
- Key Takeaways — Chapter 15: Attachment — The Foundation of Human Connection
- Further Reading — Chapter 15: Attachment — The Foundation of Human Connection
-
Chapter 16: Communication That Actually Works
- Exercises — Chapter 16: Communication That Actually Works
- Quiz — Chapter 16: Communication That Actually Works
- Case Study 1 — Chapter 16: Communication That Actually Works
- Case Study 2 — Chapter 16: Communication That Actually Works
- Key Takeaways — Chapter 16: Communication That Actually Works
- Further Reading — Chapter 16: Communication That Actually Works
-
Chapter 17: Conflict Resolution and Difficult Conversations
- Exercises — Chapter 17: Conflict Resolution and Difficult Conversations
- Quiz — Chapter 17: Conflict Resolution and Difficult Conversations
- Case Study 1 — Chapter 17: Conflict Resolution and Difficult Conversations
- Case Study 2 — Chapter 17: Conflict Resolution and Difficult Conversations
- Key Takeaways — Chapter 17: Conflict Resolution and Difficult Conversations
- Further Reading — Chapter 17: Conflict Resolution and Difficult Conversations
-
Chapter 18: Romantic Relationships and Intimacy
- Exercises — Chapter 18: Romantic Relationships and Intimacy
- Quiz — Chapter 18: Romantic Relationships and Intimacy
- Case Study 1 — Chapter 18: Romantic Relationships and Intimacy
- Case Study 2 — Chapter 18: Romantic Relationships and Intimacy
- Key Takeaways — Chapter 18: Romantic Relationships and Intimacy
- Further Reading — Chapter 18: Romantic Relationships and Intimacy
-
Chapter 19: Family Dynamics and Early Influence
- Exercises — Chapter 19: Family Dynamics and Early Influence
- Quiz — Chapter 19: Family Dynamics and Early Influence
- Case Study 1 — Chapter 19: Family Dynamics and Early Influence
- Case Study 2 — Chapter 19: Family Dynamics and Early Influence
- Key Takeaways — Chapter 19: Family Dynamics and Early Influence
- Further Reading — Chapter 19: Family Dynamics and Early Influence
-
Chapter 20: Friendship, Social Networks, and Belonging
- Exercises — Chapter 20: Friendship, Social Networks, and Belonging
- Quiz — Chapter 20: Friendship, Social Networks, and Belonging
- Case Study 1 — Chapter 20: Friendship, Social Networks, and Belonging
- Case Study 2 — Chapter 20: Friendship, Social Networks, and Belonging
- Key Takeaways — Chapter 20: Friendship, Social Networks, and Belonging
- Further Reading — Chapter 20: Friendship, Social Networks, and Belonging
-
Chapter 21: Empathy and Compassion — Seeing Through Other Eyes
- Exercises — Chapter 21: Empathy and Compassion — Seeing Through Other Eyes
- Quiz — Chapter 21: Empathy and Compassion — Seeing Through Other Eyes
- Case Study 1 — Chapter 21: Empathy and Compassion — Seeing Through Other Eyes
- Case Study 2 — Chapter 21: Empathy and Compassion — Seeing Through Other Eyes
- Key Takeaways — Chapter 21: Empathy and Compassion — Seeing Through Other Eyes
- Further Reading — Chapter 21: Empathy and Compassion — Seeing Through Other Eyes
Part 4: Work, Achievement, and Purpose
- Part 4: Work, Achievement, and Purpose
-
Chapter 22: Goals, Intrinsic Motivation, and Achievement
- Exercises — Chapter 22: Goals, Intrinsic Motivation, and Achievement
- Quiz — Chapter 22: Goals, Intrinsic Motivation, and Achievement
- Case Study 1 — Chapter 22: Goals, Intrinsic Motivation, and Achievement
- Case Study 2 — Chapter 22: Goals, Intrinsic Motivation, and Achievement
- Key Takeaways — Chapter 22: Goals, Intrinsic Motivation, and Achievement
- Further Reading — Chapter 22: Goals, Intrinsic Motivation, and Achievement
-
Chapter 23: Procrastination and Time Mastery
- Exercises — Chapter 23: Procrastination and Time Mastery
- Quiz — Chapter 23: Procrastination and Time Mastery
- Case Study 1 — Chapter 23: Procrastination and Time Mastery
- Case Study 2 — Chapter 23: Procrastination and Time Mastery
- Key Takeaways — Chapter 23: Procrastination and Time Mastery
- Further Reading — Chapter 23: Procrastination and Time Mastery
-
Chapter 24: Decision-Making Under Uncertainty
- Exercises — Chapter 24: Decision-Making Under Uncertainty
- Quiz — Chapter 24: Decision-Making Under Uncertainty
- Case Study 1 — Chapter 24: Decision-Making Under Uncertainty
- Case Study 2 — Chapter 24: Decision-Making Under Uncertainty
- Key Takeaways — Chapter 24: Decision-Making Under Uncertainty
- Further Reading — Chapter 24: Decision-Making Under Uncertainty
-
Chapter 25: Leadership and Influence
- Exercises — Chapter 25: Leadership and Influence
- Quiz — Chapter 25: Leadership and Influence
- Case Study 1 — Chapter 25: Leadership and Influence
- Case Study 2 — Chapter 25: Leadership and Influence
- Key Takeaways — Chapter 25: Leadership and Influence
- Further Reading — Chapter 25: Leadership and Influence
-
Chapter 26: Learning, Growth Mindset, and Expertise
- Exercises — Chapter 26: Learning, Growth Mindset, and Expertise
- Quiz — Chapter 26: Learning, Growth Mindset, and Expertise
- Case Study 1 — Chapter 26: Learning, Growth Mindset, and Expertise
- Case Study 2 — Chapter 26: Learning, Growth Mindset, and Expertise
- Key Takeaways — Chapter 26: Learning, Growth Mindset, and Expertise
- Further Reading — Chapter 26: Learning, Growth Mindset, and Expertise
-
Chapter 27: Creativity and Problem-Solving
- Exercises — Chapter 27: Creativity and Problem-Solving
- Quiz — Chapter 27: Creativity and Problem-Solving
- Case Study 1 — Jordan: The City Planner's Insight
- Case Study 2 — Amara: The Client Who Became the Story
- Key Takeaways — Chapter 27: Creativity and Problem-Solving
- Further Reading — Chapter 27: Creativity and Problem-Solving
-
Chapter 28: Finding Meaning and Purpose in Work
- Exercises — Chapter 28: Finding Meaning and Purpose in Work
- Quiz — Chapter 28: Finding Meaning and Purpose in Work
- Case Study 1 — Jordan: Is This It?
- Case Study 2 — Amara: The Caretaker's Vocation
- Key Takeaways — Chapter 28: Finding Meaning and Purpose in Work
- Further Reading — Chapter 28: Finding Meaning and Purpose in Work
Part 5: Health, Habits, and Wellbeing
- Part 5: Health, Habits, and Wellbeing
-
Chapter 29: Habit Formation and Behavior Change
- Exercises — Chapter 29: Habit Formation and Behavior Change
- Quiz — Chapter 29: Habit Formation and Behavior Change
- Case Study 1 — Jordan: The Habit That Didn't Feel Like One
- Case Study 2 — Amara: The Habit of Being Present
- Key Takeaways — Chapter 29: Habit Formation and Behavior Change
- Further Reading — Chapter 29: Habit Formation and Behavior Change
-
Chapter 30: Sleep, Energy, and Peak Performance
- Exercises — Chapter 30: Sleep, Energy, and Peak Performance
- Quiz — Chapter 30: Sleep, Energy, and Peak Performance
- Case Study 1 — Jordan: The 3 AM Problem Has a Name
- Case Study 2 — Amara: The 4 AM Knowledge
- Key Takeaways — Chapter 30: Sleep, Energy, and Peak Performance
- Further Reading — Chapter 30: Sleep, Energy, and Peak Performance
-
Chapter 31: Physical Health and Psychological Wellbeing
- Exercises — Chapter 31: Physical Health and Psychological Wellbeing
- Quiz — Chapter 31: Physical Health and Psychological Wellbeing
- Case Study 1 — Jordan: What the Body Has Been Doing
- Case Study 2 — Amara: The Body in the Room
- Key Takeaways — Chapter 31: Physical Health and Psychological Wellbeing
- Further Reading — Chapter 31: Physical Health and Psychological Wellbeing
-
Chapter 32: Anxiety, Depression, and the Spectrum of Distress
- Exercises — Chapter 32: Anxiety, Depression, and the Spectrum of Distress
- Quiz — Chapter 32: Anxiety, Depression, and the Spectrum of Distress
- Case Study 1 — Jordan: The Thing He'd Been Managing
- Case Study 2 — Amara: The Clinical and the Personal
- Key Takeaways — Chapter 32: Anxiety, Depression, and the Spectrum of Distress
- Further Reading — Chapter 32: Anxiety, Depression, and the Spectrum of Distress
-
Chapter 33: Addiction, Compulsion, and Recovery
- Exercises — Chapter 33: Addiction, Compulsion, and Recovery
- Quiz — Chapter 33: Addiction, Compulsion, and Recovery
- Case Study 1 — Jordan: The Compulsive Edge
- Case Study 2 — Amara: Grace, the Framework, and the Work Ahead
- Key Takeaways — Chapter 33: Addiction, Compulsion, and Recovery
- Further Reading — Chapter 33: Addiction, Compulsion, and Recovery
-
Chapter 34: Grief, Loss, and Life Transitions
- Exercises — Chapter 34: Grief, Loss, and Life Transitions
- Quiz — Chapter 34: Grief, Loss, and Life Transitions
- Case Study 1 — Jordan: What He Was Already Grieving
- Case Study 2 — Amara: The Shape of the Grief
- Key Takeaways — Chapter 34: Grief, Loss, and Life Transitions
- Further Reading — Chapter 34: Grief, Loss, and Life Transitions
Part 6: Social and Cultural Forces
- Part 6: Social and Cultural Forces
-
Chapter 35: Persuasion, Influence, and Social Pressure
- Exercises — Chapter 35: Persuasion, Influence, and Social Pressure
- Quiz — Chapter 35: Persuasion, Influence, and Social Pressure
- Case Study 01 — Jordan: The Architecture of Yes
- Case Study 02 — Amara: The Invisible Architecture
- Key Takeaways — Chapter 35: Persuasion, Influence, and Social Pressure
- Further Reading — Chapter 35: Persuasion, Influence, and Social Pressure
-
Chapter 36: Prejudice, Stereotyping, and Group Identity
- Exercises — Chapter 36: Prejudice, Stereotyping, and Group Identity
- Quiz — Chapter 36: Prejudice, Stereotyping, and Group Identity
- Case Study 01 — Jordan: What the Research Named
- Case Study 02 — Amara: Social Location as Resource and Risk
- Key Takeaways — Chapter 36: Prejudice, Stereotyping, and Group Identity
- Further Reading — Chapter 36: Prejudice, Stereotyping, and Group Identity
-
Chapter 37: Group Dynamics, Conformity, and Collective Behavior
- Exercises — Chapter 37: Group Dynamics, Conformity, and Collective Behavior
- Quiz — Chapter 37: Group Dynamics, Conformity, and Collective Behavior
- Case Study 01 — Jordan: Building Against Groupthink
- Case Study 02 — Amara: Authority Gradients in Clinical Training
- Key Takeaways — Chapter 37: Group Dynamics, Conformity, and Collective Behavior
- Further Reading — Chapter 37: Group Dynamics, Conformity, and Collective Behavior
-
Chapter 38: Cultural Psychology — How Culture Shapes the Mind
- Exercises — Chapter 38: Cultural Psychology — How Culture Shapes the Mind
- Quiz — Chapter 38: Cultural Psychology — How Culture Shapes the Mind
- Case Study 01 — Jordan: Culture at Work and Within
- Case Study 02 — Amara: The Water She Swam In
- Key Takeaways — Chapter 38: Cultural Psychology — How Culture Shapes the Mind
- Further Reading — Chapter 38: Cultural Psychology — How Culture Shapes the Mind
-
Chapter 39: Technology, Social Media, and the Digital Self
- Exercises — Chapter 39: Technology, Social Media, and the Digital Self
- Quiz — Chapter 39: Technology, Social Media, and the Digital Self
- Case Study 01 — Chapter 39: Technology, Social Media, and the Digital Self
- Case Study 02 — Chapter 39: Technology, Social Media, and the Digital Self
- Key Takeaways — Chapter 39: Technology, Social Media, and the Digital Self
- Further Reading — Chapter 39: Technology, Social Media, and the Digital Self
Part 7: Integration and Applied Practice
- Part 7: Integration and Applied Practice
-
Chapter 40: Building Your Psychological Toolkit — A Life in Practice
- Exercises — Chapter 40: Building Your Psychological Toolkit — A Life in Practice
- Quiz — Chapter 40: Building Your Psychological Toolkit — A Life in Practice
- Case Study 01 — Chapter 40: Building Your Psychological Toolkit — A Life in Practice
- Case Study 02 — Chapter 40: Building Your Psychological Toolkit — A Life in Practice
- Key Takeaways — Chapter 40: Building Your Psychological Toolkit — A Life in Practice
- Further Reading — Chapter 40: Building Your Psychological Toolkit — A Life in Practice
Appendices
- Appendix A: Templates and Worksheets
- Appendix B: Quick Reference Cards
- Appendix C: Resource Directory
- Appendix D: Research Methods Primer — How Psychology Studies Work
- Appendix E: 50 Key Studies Summary
- Appendix F: Frequently Asked Questions
- Glossary — Applied Psychology for Everyday Life
- Answers to Selected Exercises — Applied Psychology for Everyday Life
- Bibliography — Applied Psychology for Everyday Life
College Football Analytics and Visualization
Front Matter
Part I: Foundations
- Part I: Foundations
-
Chapter 1: Introduction to College Football Analytics
- Exercises: Introduction to College Football Analytics
- Quiz: Introduction to College Football Analytics
- Case Study: The Fourth Down Revolution
- Case Study: How Analytics Changed the 2019 LSU Offense
- Key Takeaways: Introduction to College Football Analytics
- Further Reading: Introduction to College Football Analytics
- Chapter 2: The Data Landscape of NCAA Football
- Chapter 3: Python for Sports Analytics
- Chapter 4: Descriptive Statistics in Football
- Chapter 5: Data Cleaning and Preparation
Part II: Core Metrics
- Part II: Core Metrics
- Chapter 6: Traditional Football Statistics
-
Chapter 7: Advanced Passing Metrics
- Exercises: Advanced Passing Metrics
- Self-Assessment Quiz: Advanced Passing Metrics
- Case Study 1: Identifying Hidden Gems - QB Evaluation Beyond Traditional Stats
- Case Study 2: Diagnosing a Quarterback's Midseason Slump
- Key Takeaways: Advanced Passing Metrics
- Further Reading: Advanced Passing Metrics
-
Chapter 8: Rushing and Running Game Analysis
- Exercises: Rushing and Running Game Analysis
- Self-Assessment Quiz: Rushing and Running Game Analysis
- Case Study 1: Evaluating Running Back Draft Prospects
- Case Study 2: Diagnosing a Struggling Run Game
- Key Takeaways: Rushing and Running Game Analysis
- Further Reading: Rushing and Running Game Analysis
- Chapter 9: Defensive Metrics and Analysis
- Chapter 10: Special Teams Analytics
- Chapter 11: Efficiency Metrics (EPA, Success Rate)
Part III: Visualization
- Part III: Visualization
-
Chapter 12: Fundamentals of Sports Data Visualization
- Chapter 12: Exercises - Fundamentals of Sports Data Visualization
- Chapter 12: Quiz - Fundamentals of Sports Data Visualization
- Case Study 1: Redesigning a Football Analytics Dashboard
- Case Study 2: Creating Visualizations for Multiple Audiences
- Chapter 12: Key Takeaways - Fundamentals of Sports Data Visualization
- Chapter 12: Further Reading - Fundamentals of Sports Data Visualization
-
Chapter 13: Play-by-Play Visualization
- Chapter 13: Exercises - Play-by-Play Visualization
- Chapter 13: Quiz - Play-by-Play Visualization
- Case Study 1: Visualizing a Championship Comeback
- Case Study 2: Building a Real-Time Game Visualization System
- Chapter 13: Key Takeaways - Play-by-Play Visualization
- Chapter 13: Further Reading - Play-by-Play Visualization
-
Chapter 14: Player and Team Comparison Charts
- Chapter 14: Exercises - Player and Team Comparison Charts
- Chapter 14: Quiz - Player and Team Comparison Charts
- Case Study 1: NFL Draft Comparison Dashboard
- Case Study 2: Conference Realignment Impact Analysis
- Chapter 14: Key Takeaways - Player and Team Comparison Charts
- Chapter 14: Further Reading - Player and Team Comparison Charts
- Chapter 15: Interactive Dashboards
-
Chapter 16: Spatial Analysis and Field Visualization
- Chapter 16: Exercises - Spatial Analysis and Field Visualization
- Chapter 16: Quiz - Spatial Analysis and Field Visualization
- Case Study 1: NFL Combine Tracking Analysis Dashboard
- Case Study 2: Route Efficiency and Coverage Analysis System
- Chapter 16: Key Takeaways - Spatial Analysis and Field Visualization
- Chapter 16: Further Reading - Spatial Analysis and Field Visualization
Part IV: Predictive Modeling
- Part IV: Predictive Modeling
-
Chapter 17: Introduction to Predictive Analytics in Football
- Chapter 17: Exercises - Introduction to Predictive Analytics
- Chapter 17: Quiz - Introduction to Predictive Analytics
- Case Study 1: Building a Bowl Game Prediction System
- Case Study 2: Fourth Down Decision Model
- Chapter 17: Key Takeaways - Introduction to Predictive Analytics
- Chapter 17: Further Reading - Introduction to Predictive Analytics
-
Chapter 18: Game Outcome Prediction
- Chapter 18: Exercises - Game Outcome Prediction
- Chapter 18: Quiz - Game Outcome Prediction
- Case Study 1: Building a Power 5 Conference Prediction System
- Case Study 2: Upset Prediction and Variance Analysis
- Chapter 18: Key Takeaways - Game Outcome Prediction
- Chapter 18: Further Reading - Game Outcome Prediction
-
Chapter 19: Player Performance Forecasting
- Chapter 19: Exercises - Player Performance Forecasting
- Chapter 19: Quiz - Player Performance Forecasting
- Case Study 1: Building a QB Projection System
- Case Study 2: Fantasy Football Projection System
- Chapter 19: Key Takeaways - Player Performance Forecasting
- Chapter 19: Further Reading - Player Performance Forecasting
- Chapter 20: Recruiting Analytics
-
Chapter 21: Win Probability Models
- Chapter 21: Exercises - Win Probability Models
- Chapter 21: Quiz - Win Probability Models
- Case Study 1: Building a College Football Win Probability System
- Case Study 2: Fourth-Down Decision Analysis System
- Chapter 21: Key Takeaways - Win Probability Models
- Chapter 21: Further Reading - Win Probability Models
-
Chapter 22: Machine Learning Applications in College Football
- Chapter 22: Exercises - Machine Learning Applications
- Chapter 22: Quiz - Machine Learning Applications
- Case Study 1: Building a Game Prediction System
- Case Study 2: Player Archetype Discovery and Draft Projection
- Chapter 22: Key Takeaways - Machine Learning Applications
- Chapter 22: Further Reading - Machine Learning Applications
Part V: Advanced Topics
- Part V: Advanced Topics
-
Chapter 23: Network Analysis in Football
- Chapter 23: Exercises - Network Analysis in Football
- Chapter 23: Quiz - Network Analysis in Football
- Case Study 1: Analyzing Passing Network Evolution
- Case Study 2: Mapping Coaching Influence Networks
- Chapter 23: Key Takeaways - Network Analysis in Football
- Chapter 23: Further Reading - Network Analysis in Football
- Chapter 24: Computer Vision and Tracking Data
-
Chapter 25: Natural Language Processing for Scouting
- Chapter 25 Exercises: Natural Language Processing for Scouting
- Chapter 25 Quiz: Natural Language Processing for Scouting
- Case Study 1: Building an Automated Draft Prospect Evaluation System
- Case Study 2: Real-Time Media Sentiment Monitoring System
- Chapter 25: Key Takeaways
- Chapter 25: Further Reading
-
Chapter 26: Real-Time Analytics Systems
- Chapter 26 Exercises: Real-Time Analytics Systems
- Chapter 26 Quiz: Real-Time Analytics Systems
- Case Study 1: Building a Live Game Dashboard for Broadcast
- Case Study 2: Building a Coaching Staff Decision Support System
- Chapter 26 Key Takeaways: Real-Time Analytics Systems
- Chapter 26 Further Reading: Real-Time Analytics Systems
Part VI: Capstone
- Part VI: Capstone
-
Chapter 27: Building a Complete Analytics System
- Chapter 27 Exercises: Building a Complete Analytics System
- Chapter 27 Quiz: Building a Complete Analytics System
- Case Study 1: Building an Analytics Platform for a Power Five Program
- Case Study 2: Group of Five Program Building Analytics Capability on a Budget
- Chapter 27 Key Takeaways: Building a Complete Analytics System
- Chapter 27 Further Reading: Building a Complete Analytics System
-
Chapter 28: Career Paths in Sports Analytics
- Chapter 28 Exercises: Career Paths in Sports Analytics
- Chapter 28 Quiz: Career Paths in Sports Analytics
- Case Study 1: From Finance to NFL Analytics
- Case Study 2: Building a College Football Analytics Program from the Ground Up
- Chapter 28 Key Takeaways: Career Paths in Sports Analytics
- Chapter 28 Further Reading: Career Paths in Sports Analytics
The Creator Economy & Digital Entrepreneurship
Frontmatter
Part 1: Foundations of the Creator Economy
- Part 1: Foundations of the Creator Economy
- Chapter 1: What Is the Creator Economy? A Systems View
-
Chapter 2: The History of Digital Entrepreneurship
- Chapter 2 Exercises
- Chapter 2 Quiz: The History of Digital Entrepreneurship
- Case Study 2-A: Marcus Webb — The Historical Patterns He's Repeating (And One He's Avoiding)
- Case Study 2-B: Dooce and the First-Generation Creator — What Heather Armstrong Built Before There Was a Playbook
- Chapter 2 Key Takeaways
- Chapter 2 Further Reading
- Chapter 3: Platform Ecosystems: How Platforms Shape Creators
-
Chapter 4: Audience Economics — Attention, Trust, and Value
- Chapter 4 Exercises: Audience Economics — Attention, Trust, and Value
- Chapter 4 Quiz: Audience Economics — Attention, Trust, and Value
- Case Study 4-1: Maya Chen — Building Trust Before Asking for Anything
- Case Study 4-2: MrBeast — Audience Economics at Extreme Scale
- Chapter 4 Key Takeaways: Audience Economics — Attention, Trust, and Value
- Chapter 4 Further Reading: Audience Economics — Attention, Trust, and Value
-
Chapter 5: The Creator Funnel — From Follower to Customer
- Chapter 5 Exercises: The Creator Funnel — From Follower to Customer
- Chapter 5 Quiz: The Creator Funnel — From Follower to Customer
- Case Study 5-1: The Meridian Collective — When Community Loyalty Doesn't Become Revenue
- Case Study 5-2: Ali Abdaal — Building a Creator Funnel Deliberately
- Chapter 5 Key Takeaways: The Creator Funnel — From Follower to Customer
- Chapter 5 Further Reading: The Creator Funnel — From Follower to Customer
Part 2: Platform Strategy and Content Architecture
- Part 2: Platform Strategy and Content Architecture
- Chapter 6: Choosing Your Platform(s) — Strategic Fit vs. Trend-Chasing
- Chapter 7: Content Architecture — Planning a Body of Work
- Chapter 8: Algorithm Literacy — How Platforms Decide Who Gets Seen
- Chapter 9: Short-Form Video — TikTok, Reels, and Attention Compression
-
Chapter 10: Long-Form and Evergreen Content: YouTube, Podcasts, and Blogs
- Chapter 10 Exercises: Long-Form and Evergreen Content
- Chapter 10 Quiz: Long-Form and Evergreen Content
- Case Study 10-1: Marcus Webb and the Video That Never Stops Paying
- Case Study 10-2: Kurzgesagt — The Architecture of Evergreen Evergreen at Scale
- Chapter 10 Key Takeaways: Long-Form and Evergreen Content
- Chapter 10 Further Reading: Long-Form and Evergreen Content
Part 3: Audience Building and Community Design
- Part 3: Audience Building and Community Design
-
Chapter 11: Niche Selection and Audience Definition
- Chapter 11 Exercises: Niche Selection and Audience Definition
- Chapter 11 Quiz: Niche Selection and Audience Definition
- Case Study 11-1: Maya Chen and the Narrowing That Opened Everything
- Case Study 11-2: Mr. Money Mustache and the Power of a Perfectly Defined Niche
- Chapter 11 Key Takeaways: Niche Selection and Audience Definition
- Chapter 11 Further Reading: Niche Selection and Audience Definition
-
Chapter 12: Brand Identity for Creators — Voice, Aesthetic, and Consistency
- Chapter 12 Exercises: Brand Identity for Creators
- Chapter 12 Quiz: Brand Identity for Creators
- Case Study 12-1: Maya Chen — The Brand That Survived Burnout
- Case Study 12-2: Emma Chamberlain — When Personal Brand Becomes Cultural Force
- Chapter 12 Key Takeaways: Brand Identity for Creators
- Chapter 12 Further Reading: Brand Identity for Creators
-
Chapter 13: Community Architecture — From Audience to Tribe
- Chapter 13 Exercises: Community Architecture
- Chapter 13 Quiz: Community Architecture
- Case Study 13-1: The Meridian Collective — Building and Breaking a 15K-Member Discord
- Case Study 13-2: r/personalfinance and the Limits of Creator-Less Community — Lessons for Creator-Led Community Builders
- Chapter 13 Key Takeaways: Community Architecture
- Chapter 13 Further Reading: Community Architecture
-
Chapter 14: Audience Research and Feedback Loops
- Chapter 14 Exercises: Audience Research and Feedback Loops
- Chapter 14 Quiz: Audience Research and Feedback Loops
- Case Study 14-1: Maya Chen — The Survey That Rewrote Her Content Calendar
- Case Study 14-2: Morning Brew — How a Newsletter Built Its Audience on Research, Not Assumption
- Key Takeaways: Chapter 14 — Audience Research and Feedback Loops
- Further Reading: Chapter 14 — Audience Research and Feedback Loops
-
Chapter 15: Cross-Platform Growth and Audience Migration
- Chapter 15 Exercises: Cross-Platform Growth and Audience Migration
- Chapter 15 Quiz: Cross-Platform Growth and Audience Migration
- Case Study 15-1: The Meridian Collective — Building Cross-Platform Without Breaking the Team
- Case Study 15-2: Hank Green and the DFTBA Network — Owning Your Audience When Platforms Didn't Exist
- Key Takeaways: Chapter 15 — Cross-Platform Growth and Audience Migration
- Further Reading: Chapter 15 — Cross-Platform Growth and Audience Migration
Part 4: Monetization Models and Revenue Engineering
- Part 4: Monetization Models and Revenue Engineering
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Chapter 16: The Monetization Landscape — Every Revenue Model Explained
- Chapter 16 Exercises: The Monetization Landscape
- Chapter 16 Quiz: The Monetization Landscape
- Case Study 16-1: Maya's Revenue Reality Check
- Case Study 16-2: Ali Abdaal and the Multi-Stream Creator Business
- Chapter 16 Key Takeaways: The Monetization Landscape
- Chapter 16 Further Reading: The Monetization Landscape
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Chapter 17: Brand Partnerships and Sponsorship Deals
- Chapter 17 Exercises: Brand Partnerships and Sponsorship Deals
- Chapter 17 Quiz: Brand Partnerships and Sponsorship Deals
- Case Study 17-1: The Meridian Collective's First Major Sponsorship
- Case Study 17-2: Emma Chamberlain and the Long Game of Brand Partnerships
- Chapter 17 Key Takeaways: Brand Partnerships and Sponsorship Deals
- Chapter 17 Further Reading: Brand Partnerships and Sponsorship Deals
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Chapter 18: Subscription and Membership Models
- Chapter 18 Exercises: Subscription and Membership Models
- Chapter 18 Quiz: Subscription and Membership Models
- Case Study 18-1: Maya Chen's Membership — From Free Audience to Recurring Revenue
- Case Study 18-2: Defector Media — The Creator Subscription Model at Institutional Scale
- Chapter 18 Key Takeaways: Subscription and Membership Models
- Chapter 18 Further Reading: Subscription and Membership Models
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Chapter 19: Digital Products: Courses, Templates, and Info Products
- Chapter 19 Exercises: Digital Products: Courses, Templates, and Info Products
- Chapter 19 Quiz: Digital Products: Courses, Templates, and Info Products
- Case Study 19-1: Marcus Webb's Course — From YouTube to $26,000 in One Week
- Case Study 19-2: Ali Abdaal — From NHS Doctor to $5M Digital Product Business
- Chapter 19 Key Takeaways: Digital Products: Courses, Templates, and Info Products
- Chapter 19 Further Reading: Digital Products: Courses, Templates, and Info Products
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Chapter 20: Physical Products and Merchandise
- Chapter 20 Exercises: Physical Products and Merchandise
- Chapter 20 Quiz: Physical Products and Merchandise
- Case Study 20-1: Maya Chen's Capsule Drop — A Full Anatomy
- Case Study 20-2: Emma Chamberlain and Chamberlain Coffee — From Creator Merch to Consumer Brand
- Chapter 20 Key Takeaways: Physical Products and Merchandise
- Chapter 20 Further Reading: Physical Products and Merchandise
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Chapter 21: Live Events, Consulting, and High-Ticket Offers
- Chapter 21 Exercises: Live Events, Consulting, and High-Ticket Offers
- Chapter 21 Quiz: Live Events, Consulting, and High-Ticket Offers
- Case Study 21-1: Marcus Webb's High-Ticket Revenue Stack — From YouTube to Consulting Practice
- Case Study 21-2: Ali Abdaal — From Medical Doctor to $5M+ Creator Business Built on Teaching
- Chapter 21 Key Takeaways: Live Events, Consulting, and High-Ticket Offers
- Chapter 21 Further Reading: Live Events, Consulting, and High-Ticket Offers
Part 5: Creator Analytics and Business Intelligence
- Part 5: Creator Analytics and Business Intelligence
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Chapter 22: Metrics That Matter — Vanity vs. Value Metrics
- Chapter 22 Exercises: Metrics That Matter — Vanity vs. Value Metrics
- Chapter 22 Quiz: Metrics That Matter — Vanity vs. Value Metrics
- Case Study 22-1: Maya Chen's Metrics Wake-Up Call
- Case Study 22-2: MrBeast and the Attention-Revenue Paradox
- Chapter 22 Key Takeaways: Metrics That Matter — Vanity vs. Value Metrics
- Chapter 22 Further Reading: Metrics That Matter — Vanity vs. Value Metrics
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Chapter 23: Platform Analytics Deep Dive
- Chapter 23 Exercises: Platform Analytics Deep Dive
- Chapter 23 Quiz: Platform Analytics Deep Dive
- Case Study 23-1: Marcus Webb's Analytics-Driven Pivot
- Case Study 23-2: How Spotify for Podcasters Changed the Podcast Analytics Game
- Chapter 23 Key Takeaways: Platform Analytics Deep Dive
- Chapter 23 Further Reading: Platform Analytics Deep Dive
-
Chapter 24: Audience Analytics with Python
- Chapter 24 Exercises: Audience Analytics with Python
- Chapter 24 Quiz: Audience Analytics with Python
- Case Study 24-1: The Meridian Collective's Audience Segmentation Discovery
- Case Study 24-2: Substack's Creator Analytics Infrastructure
- Chapter 24 Key Takeaways: Audience Analytics with Python
- Chapter 24 Further Reading: Audience Analytics with Python
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Chapter 25: Revenue Modeling and Financial Planning
- Chapter 25 Exercises: Revenue Modeling and Financial Planning
- Chapter 25 Quiz: Revenue Modeling and Financial Planning
- Case Study 25-1: Marcus Webb and the Tax Bill That Changed Everything
- Case Study 25-2: How Ali Abdaal Built a Creator Finance System That Generates Millions
- Chapter 25 Key Takeaways: Revenue Modeling and Financial Planning
- Chapter 25 Further Reading: Revenue Modeling and Financial Planning
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Chapter 26: A/B Testing Content and Offer Strategy
- Chapter 26 Exercises: A/B Testing Content and Offer Strategy
- Chapter 26 Quiz: A/B Testing Content and Offer Strategy
- Case Study 26-1: Maya Chen's Price Test — $17 vs. $27
- Case Study 26-2: HubSpot's Culture of Testing — Lessons for Solo Creators
- Chapter 26 Key Takeaways: A/B Testing Content and Offer Strategy
- Chapter 26 Further Reading: A/B Testing Content and Offer Strategy
Part 6: Legal, Financial, and Operational Infrastructure
- Part 6: Legal, Financial, and Operational Infrastructure
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Chapter 27: Business Formation for Creators: LLCs, Taxes, and Contracts
- Chapter 27 Exercises: Business Formation for Creators
- Chapter 27 Quiz: Business Formation for Creators: LLCs, Taxes, and Contracts
- Case Study 27-1: The Meridian Collective Forms an LLC — Three Problems That Made It Necessary
- Case Study 27-2: MrBeast's Business Structure and the Creator-as-Company Model
- Chapter 27 Key Takeaways: Business Formation for Creators: LLCs, Taxes, and Contracts
- Chapter 27 Further Reading: Business Formation for Creators: LLCs, Taxes, and Contracts
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Chapter 28: Intellectual Property for Creators: Copyright, Fair Use, and Licensing
- Chapter 28 Exercises: Intellectual Property for Creators
- Chapter 28 Quiz: Intellectual Property for Creators
- Case Study 28-01: Maya Chen's Copyright Education — Three Strikes, One Lesson
- Case Study 28-02: The Lenz v. Universal Music Case — When Fair Use Went to Court
- Chapter 28 Key Takeaways: Intellectual Property for Creators
- Chapter 28 Further Reading: Intellectual Property for Creators
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Chapter 29: Creator Contracts: Negotiation, Red Flags, and Deal Terms
- Chapter 29 Exercises: Creator Contracts: Negotiation, Red Flags, and Deal Terms
- Chapter 29 Quiz: Creator Contracts: Negotiation, Red Flags, and Deal Terms
- Case Study 29-01: The Meridian Collective's $12,000 Wake-Up Call
- Case Study 29-02: FN Meka, Capitol Records, and What Happens When Creator IP Meets Corporate Power
- Chapter 29 Key Takeaways: Creator Contracts: Negotiation, Red Flags, and Deal Terms
- Chapter 29 Further Reading: Creator Contracts: Negotiation, Red Flags, and Deal Terms
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Chapter 30: Financial Management for Irregular Income
- Chapter 30 Exercises: Financial Management for Irregular Income
- Chapter 30 Quiz: Financial Management for Irregular Income
- Case Study 30-01: Marcus Webb's Year-One Financial Reconstruction
- Case Study 30-02: Gumroad's Creator Financial Data — What Creator Income Actually Looks Like
- Chapter 30 Key Takeaways: Financial Management for Irregular Income
- Chapter 30 Further Reading: Financial Management for Irregular Income
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Chapter 31: Building a Creator Team: Hiring, Delegation, and Operations
- Chapter 31 Exercises: Building a Creator Team
- Chapter 31 Quiz: Building a Creator Team
- Case Study 01: The Meridian Collective — From Chaos to Operations
- Case Study 02: Rhett and Link and the Mythical Entertainment Build
- Chapter 31 Key Takeaways: Building a Creator Team
- Chapter 31 Further Reading: Building a Creator Team
Part 7: Scaling, Diversification, and the Creator-to-CEO Pipeline
- Part 7: Scaling, Diversification, and the Creator-to-CEO Pipeline
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Chapter 32: From Content Creator to Media Company
- Chapter 32 Exercises: From Content Creator to Media Company
- Chapter 32 Quiz: From Content Creator to Media Company
- Case Study 01: The Meridian Collective — The Offer They Turned Down
- Case Study 02: The Try Guys — What Makes a Media Company Durable
- Chapter 32 Key Takeaways: From Content Creator to Media Company
- Chapter 32 Further Reading: From Content Creator to Media Company
- Chapter 33: Productization — Turning Expertise into Scalable Offers
- Chapter 34: Building Platform-Independent Audiences — Email and Owned Media
- Chapter 35: Raising Capital and Creator Venture Funding
- Chapter 36: Acquisitions, Partnerships, and Creator M&A
Part 8: Sustainability, Ethics, and the Future of Creator Work
- Part 8: Sustainability, Ethics, and the Future of Creator Work
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Chapter 37: Creator Burnout — The Psychology of Sustainable Output
- Exercises: Creator Burnout — The Psychology of Sustainable Output
- Quiz: Creator Burnout — The Psychology of Sustainable Output
- Case Study 37-01: The Wall
- Case Study 37-02: Twelve Years
- Key Takeaways: Creator Burnout — The Psychology of Sustainable Output
- Further Reading: Creator Burnout — The Psychology of Sustainable Output
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Chapter 38: Equity in the Creator Economy — Race, Gender, and Platform Bias
- Exercises: Equity in the Creator Economy — Race, Gender, and Platform Bias
- Quiz: Equity in the Creator Economy — Race, Gender, and Platform Bias
- Case Study 38-01: The Numbers Don't Lie
- Case Study 38-02: The Open Letter
- Key Takeaways: Equity in the Creator Economy — Race, Gender, and Platform Bias
- Further Reading: Equity in the Creator Economy — Race, Gender, and Platform Bias
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Chapter 39: The Ethics of Influence — Advertising, Disclosure, and Manipulation
- Chapter 39 Exercises: The Ethics of Influence
- Chapter 39 Quiz: The Ethics of Influence
- Case Study 39.1: Maya's Line in the Sand
- Case Study 39.2: The FTC and the Fyre Festival — How Influencer Non-Disclosure Became a National Story
- Chapter 39 Key Takeaways: The Ethics of Influence
- Chapter 39 Further Reading: The Ethics of Influence
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Chapter 40: AI and the Creator Economy — Tools, Threats, and Transformation
- Chapter 40 Exercises: AI and the Creator Economy
- Chapter 40 Quiz: AI and the Creator Economy
- Case Study 40.1: The Meridian Collective Meets AI
- Case Study 40.2: Getty Images v. Stability AI — When Creator Work Becomes Training Data
- Chapter 40 Key Takeaways: AI and the Creator Economy
- Chapter 40 Further Reading: AI and the Creator Economy
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Chapter 41: The Future of Work — Creator Economy in 2030 and Beyond
- Chapter 41 Exercises: The Future of Work — Creator Economy in 2030 and Beyond
- Chapter 41 Quiz: The Future of Work — Creator Economy in 2030 and Beyond
- Case Study 41.1: Marcus Webb's Pivot and the Email List That Saved — Then Transformed — His Business
- Case Study 41.2: MrBeast's Business Model as a Signal About Creator Economy Futures
- Chapter 41 Key Takeaways: The Future of Work — Creator Economy in 2030 and Beyond
- Chapter 41 Further Reading: The Future of Work — Creator Economy in 2030 and Beyond
Capstone Projects
Appendices
- Appendix A: Platform Comparison Matrix
- Appendix B: Creator Business Plan Template
- Appendix C: Revenue Calculator Worksheets
- Appendix D: Brand Partnership Rate Card and Negotiation Scripts
- Appendix E: Contract Templates and Legal Checklists
- Appendix F: Python Analytics Toolkit
- Appendix G: Glossary of Creator Economy Terms
- Appendix H: Algorithm Updates Timeline, 2015–2025
- Appendix I: Equity and Inclusion Resource Directory
- Appendix J: Further Reading and Annotated Bibliography
- Appendix K: Case Study Index — Maya, Meridian Collective, Marcus
- Appendix L: Creator Mental Health and Burnout Resources
- Appendix M: Capstone Project Rubrics and Evaluation Criteria
Cross Domain Pattern Recognition
Front Matter
Foundations
- Part I: Foundations — The Patterns Beneath Everything
- Chapter 1: The View From Everywhere
- Chapter 2: Feedback Loops — The Pattern That Runs the World
- Chapter 3: Emergence — Why the Whole Is Weirder Than the Sum of Its Parts
-
Chapter 4: Power Laws and Fat Tails — Why Extremes Dominate Everything from Earthquakes to Bestsellers to Pandemics to Wars
- Chapter 4: Exercises — Power Laws and Fat Tails
- Chapter 4: Quiz — Power Laws and Fat Tails
- Case Study 01: Earthquakes and Bestsellers — The Same Curve
- Case Study 02: Wars, Pandemics, and City Sizes — Power Laws of Human Systems
- Chapter 4: Key Takeaways — Power Laws and Fat Tails
- Chapter 4: Further Reading — Power Laws and Fat Tails
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Chapter 5: Phase Transitions — Why Systems Change Suddenly and Without Warning
- Chapter 5: Exercises — Phase Transitions
- Chapter 5: Quiz — Phase Transitions
- Case Study 01: Revolutions and Epidemics — Social Phase Transitions
- Case Study 02: Superconductors and Opinion Cascades — Universality in Action
- Chapter 5: Key Takeaways — Phase Transitions
- Chapter 5: Further Reading — Phase Transitions
- Chapter 6: Signal and Noise
How Things Find Answers
- Part II: How Things Find Answers
- Chapter 7: Gradient Descent — How Nature, Markets, and Engineers All Find Solutions by Feeling Downhill
- Chapter 8: The Explore/Exploit Tradeoff
- Chapter 9: Distributed vs. Centralized
- Chapter 10: Bayesian Reasoning
- Chapter 11: Cooperation Without Trust
- Chapter 12: Satisficing
- Chapter 13: Annealing and Shaking
How Things Go Wrong
- Part III: How Things Go Wrong
- Chapter 14: Overfitting
- Chapter 15: Goodhart's Law — When Every Metric Becomes a Target
- Chapter 16: Legibility and Control -- What States, Corporations, Algorithms, and Helicopter Parents All Get Wrong the Same Way
- Chapter 17: Redundancy vs. Efficiency -- The Tradeoff That Kills Systems
- Chapter 18: Cascading Failures -- How One Small Break Brings Down Everything
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Chapter 19: Iatrogenesis -- When the Cure Is the Disease
- Chapter 19 Exercises
- Chapter 19 Quiz: Self-Assessment
- Case Study 1: Medicine and Foreign Policy -- Two Theaters of Iatrogenic Harm
- Case Study 2: Software Patches and Wildfire Suppression -- Two Systems That Made Things Worse by Trying to Fix Them
- Chapter 19: Key Takeaways
- Chapter 19: Further Reading
- Chapter 20: Legibility Traps -- The Deadly Cost of Making the Complex Simple
- Chapter 21: The Cobra Effect -- When Incentives Backfire Identically Across Every Domain
How Knowledge Works
- Part IV: How Knowledge Works
- Chapter 22: The Map Is Not the Territory -- How Every Field Learns (and Forgets) This Lesson
- Chapter 23: Tacit Knowledge -- The Knowledge That Stays in the Room
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Chapter 24: Paradigm Shifts -- Why Revolutionary Ideas Follow the Same Social Script in Every Field
- Chapter 24 Exercises
- Chapter 24 Quiz: Self-Assessment
- Case Study 1: The Copernican Revolution Pattern -- How One Paradigm Shift Became the Template for All Others
- Case Study 2: Paradigm Shifts Outside Science -- Art, Economics, and Technology Follow the Same Script
- Chapter 24: Key Takeaways
- Chapter 24: Further Reading
- Chapter 25: The Adjacent Possible -- Why Innovation Follows the Same Path in Biology, Technology, Music, Law, and Cuisine
- Chapter 26: Multiple Discovery -- Why the Same Idea Keeps Being Invented Simultaneously
- Chapter 27: Boundary Objects -- The Concepts That Let Different Worlds Communicate
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Chapter 28: Dark Knowledge -- What Entire Fields Know But Never Write Down
- Chapter 28 Exercises
- Chapter 28 Quiz: Self-Assessment
- Case Study 1: Guild Secrets and Clinical Intuition -- Two Systems for Maintaining Dark Knowledge
- Case Study 2: Institutional Memory and Oral Traditions -- When Organizations and Civilizations Forget
- Chapter 28: Key Takeaways
- Chapter 28: Further Reading
How Systems Grow, Age, and Die
- Part V: How Systems Grow, Age, and Die
- Chapter 29: Scaling Laws -- Why Size Changes Everything
- Chapter 30: Debt -- The Hidden Metaphor Running Through Everything
- Chapter 31: Senescence -- How Systems Age and Why the Patterns Are Universal
-
Chapter 32: Succession -- The Universal Pattern of What Replaces What
- Chapter 32 Exercises
- Chapter 32 Quiz: Self-Assessment
- Case Study 1: Ecological and Technological Succession -- From Bare Rock to Streaming Services
- Case Study 2: Political Transitions and Genre Evolution -- Revolutions That Eat Their Children, Movements That Displace Their Parents
- Chapter 32: Key Takeaways
- Chapter 32: Further Reading
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Chapter 33: The Lifecycle S-Curve -- Birth, Growth, Maturity, and Decline in Everything
- Chapter 33 Exercises
- Chapter 33 Quiz: Self-Assessment
- Case Study 1: Technologies and Empires -- The S-Curve from Steam Power to Silicon, from Rome to Britain
- Case Study 2: Artistic Movements and Relationships -- The S-Curve of Jazz and the Arc of Love
- Chapter 33: Key Takeaways
- Chapter 33: Further Reading
How Humans Actually Decide
- Part VI: How Humans Actually Decide
- Chapter 34: Skin in the Game -- Why Decision Quality Collapses When Deciders Don't Bear Consequences
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Chapter 35: The Streetlight Effect -- How Every Field Searches Where the Light Is Good
- Chapter 35 Exercises
- Chapter 35 Quiz: Self-Assessment
- Case Study 1: Research Methodology and Policing -- The McNamara Fallacy from Vietnam to the Algorithm
- Case Study 2: Data Science and Archaeology -- The Invisible Civilizations and the Biased Algorithm
- Chapter 35: Key Takeaways
- Chapter 35: Further Reading
- Chapter 36: Narrative Capture -- How Stories Hijack Reasoning
- Chapter 37: Survivorship Bias -- The Evidence You Never See
- Chapter 38: Chesterton's Fence -- The Universal Failure to Ask Why Before Removing
The Deep Structure
- Part VII: The Deep Structure
- Chapter 39: Information as the Universal Currency -- How Bits Connect Physics, Biology, Economics, and Communication
- Chapter 40: Symmetry and Symmetry-Breaking -- The Hidden Geometry of Change
- Chapter 41: Conservation Laws of Human Systems -- What Gets Conserved When Everything Else Changes
Data, Society, and Responsibility
Front Matter
Part 1: Foundations — Data, Power, and the Digital Self
- Part 1: Foundations — Data, Power, and the Digital Self
- Chapter 1: The Data All Around Us
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Chapter 2: A Brief History of Data and Society
- Chapter 2 Exercises: A Brief History of Data and Society
- Chapter 2 Quiz: A Brief History of Data and Society
- Case Study 1: IBM and Nazi Germany — Technology, Complicity, and Corporate Responsibility
- Case Study 2: The Cambridge Analytica Scandal in Historical Perspective
- Chapter 2: Key Takeaways
- Chapter 2: Further Reading
- Chapter 3: Who Owns Your Data?
- Chapter 4: The Attention Economy
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Chapter 5: Power, Knowledge, and Data
- Exercises: Power, Knowledge, and Data
- Quiz: Power, Knowledge, and Data
- Case Study: Detroit's Project Green Light — Surveillance and Community Power
- Case Study: Facebook and Epistemic Power — The 2021 Whistleblower Documents
- Key Takeaways: Chapter 5 — Power, Knowledge, and Data
- Further Reading: Power, Knowledge, and Data
-
Chapter 6: Ethical Frameworks for the Data Age
- Exercises: Ethical Frameworks for the Data Age
- Quiz: Ethical Frameworks for the Data Age
- Case Study: The VitraMed Data Sharing Dilemma — A Five-Framework Analysis
- Case Study: Should Clearview AI Exist? An Ethical Analysis
- Key Takeaways: Chapter 6 — Ethical Frameworks for the Data Age
- Further Reading: Ethical Frameworks for the Data Age
Part 2: Privacy in the Digital Age
- Part 2: Privacy in the Digital Age
-
Chapter 7: What Is Privacy? Definitions and Debates
- Exercises: What Is Privacy? Definitions and Debates
- Quiz: What Is Privacy? Definitions and Debates
- Case Study: Carpenter v. United States — Cell Phone Location and the Fourth Amendment
- Case Study: Privacy Norms in Crisis — COVID-19 Contact Tracing
- Key Takeaways: Chapter 7 — What Is Privacy? Definitions and Debates
- Further Reading: What Is Privacy? Definitions and Debates
-
Chapter 8: Surveillance: From Panopticon to Platform
- Exercises: Surveillance: From Panopticon to Platform
- Quiz: Surveillance: From Panopticon to Platform
- Case Study: The Snowden Revelations and Mass Surveillance
- Case Study: Facial Recognition in Law Enforcement: The Detroit Case
- Key Takeaways: Chapter 8 — Surveillance: From Panopticon to Platform
- Further Reading: Surveillance: From Panopticon to Platform
- Chapter 9: Data Collection and Consent
-
Chapter 10: Privacy by Design and Data Minimization
- Exercises: Privacy by Design and Data Minimization
- Quiz: Privacy by Design and Data Minimization
- Case Study: Apple's Differential Privacy Implementation
- Case Study: De-identification Failures: The Netflix Prize Dataset
- Key Takeaways: Chapter 10 — Privacy by Design and Data Minimization
- Further Reading: Privacy by Design and Data Minimization
- Chapter 11: The Economics of Privacy
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Chapter 12: Health Data, Genetic Data, and Biometric Privacy
- Exercises: Health Data, Genetic Data, and Biometric Privacy
- Quiz: Health Data, Genetic Data, and Biometric Privacy
- Case Study: 23andMe and the Golden State Killer: Genetic Privacy at a Crossroads
- Case Study: Robert Williams: Wrongful Arrest by Facial Recognition
- Key Takeaways: Chapter 12 — Health Data, Genetic Data, and Biometric Privacy
- Further Reading: Health Data, Genetic Data, and Biometric Privacy
Part 3: Algorithmic Systems and AI Ethics
- Part 3: Algorithmic Systems and AI Ethics
- Chapter 13: How Algorithms Shape Society
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Chapter 14: Bias in Data, Bias in Machines
- Exercises: Bias in Data, Bias in Machines
- Quiz: Bias in Data, Bias in Machines
- Case Study: The COMPAS Algorithm — Predicting Recidivism
- Case Study: Amazon's Hiring Algorithm — When AI Learns to Discriminate
- Key Takeaways: Chapter 14 — Bias in Data, Bias in Machines
- Further Reading: Bias in Data, Bias in Machines
-
Chapter 15: Fairness — Definitions, Tensions, and Trade-offs
- Exercises: Fairness — Definitions, Tensions, and Trade-offs
- Quiz: Fairness — Definitions, Tensions, and Trade-offs
- Case Study: ProPublica vs. Northpointe — The COMPAS Fairness Debate
- Case Study: Fairness in College Admissions Algorithms
- Key Takeaways: Chapter 15 — Fairness: Definitions, Tensions, and Trade-offs
- Further Reading: Fairness — Definitions, Tensions, and Trade-offs
-
Chapter 16: Transparency, Explainability, and the Black Box Problem
- Exercises: Transparency, Explainability, and the Black Box Problem
- Quiz: Transparency, Explainability, and the Black Box Problem
- Case Study: The Right to Explanation — GDPR Article 22 in Practice
- Case Study: Explainable AI in Healthcare — Promises and Pitfalls
- Key Takeaways: Chapter 16 — Transparency, Explainability, and the Black Box Problem
- Further Reading: Transparency, Explainability, and the Black Box Problem
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Chapter 17: Accountability and Audit
- Exercises: Accountability and Audit
- Quiz: Accountability and Audit
- Case Study: The Algorithmic Accountability Act: Legislative Responses
- Case Study: Auditing Airbnb: Racial Discrimination in Platform Marketplaces
- Key Takeaways: Chapter 17 — Accountability and Audit
- Further Reading: Accountability and Audit
-
Chapter 18: Generative AI: Ethics of Creation and Deception
- Exercises: Generative AI: Ethics of Creation and Deception
- Quiz: Generative AI: Ethics of Creation and Deception
- Case Study: The AI Art Controversy: Artists vs. Generative Models
- Case Study: Deepfakes and Democracy: The 2024 Election
- Key Takeaways: Chapter 18 — Generative AI: Ethics of Creation and Deception
- Further Reading: Generative AI: Ethics of Creation and Deception
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Chapter 19: Autonomous Systems and Moral Machines
- Exercises: Autonomous Systems and Moral Machines
- Quiz: Autonomous Systems and Moral Machines
- Case Study: The Uber Self-Driving Car Fatality
- Case Study: Autonomous Weapons: The Campaign to Stop Killer Robots
- Key Takeaways: Chapter 19 — Autonomous Systems and Moral Machines
- Further Reading: Autonomous Systems and Moral Machines
Part 4: Governance and Regulation
- Part 4: Governance and Regulation
-
Chapter 20: The Regulatory Landscape: A Global Survey
- Exercises: The Regulatory Landscape: A Global Survey
- Quiz: The Regulatory Landscape: A Global Survey
- Case Study: GDPR's First Five Years
- Case Study: California's CCPA/CPRA: The American Experiment
- Key Takeaways: Chapter 20 — The Regulatory Landscape: A Global Survey
- Further Reading: The Regulatory Landscape: A Global Survey
-
Chapter 21: The EU AI Act and Risk-Based Regulation
- Exercises: The EU AI Act and Risk-Based Regulation
- Quiz: The EU AI Act and Risk-Based Regulation
- Case Study: The EU AI Act Negotiation
- Case Study: Social Credit in Practice: China's System Analyzed
- Key Takeaways: Chapter 21 — The EU AI Act and Risk-Based Regulation
- Further Reading: The EU AI Act and Risk-Based Regulation
-
Chapter 22: Data Governance Frameworks and Institutions
- Exercises: Data Governance Frameworks and Institutions
- Quiz: Data Governance Frameworks and Institutions
- Case Study: NovaCorp's Data Governance Journey
- Case Study: Data Governance in Government: The UK's National Data Strategy
- Key Takeaways: Chapter 22 — Data Governance Frameworks and Institutions
- Further Reading: Data Governance Frameworks and Institutions
-
Chapter 23: Cross-Border Data Flows and Digital Sovereignty
- Exercises: Cross-Border Data Flows and Digital Sovereignty
- Quiz: Cross-Border Data Flows and Digital Sovereignty
- Case Study: Schrems II and Its Aftermath
- Case Study: Data Localization: Russia's Sovereign Internet
- Key Takeaways: Chapter 23 — Cross-Border Data Flows and Digital Sovereignty
- Further Reading: Cross-Border Data Flows and Digital Sovereignty
-
Chapter 24: Sector-Specific Governance: Finance, Health, Education
- Exercises: Sector-Specific Governance: Finance, Health, Education
- Quiz: Sector-Specific Governance: Finance, Health, Education
- Case Study: Open Banking and Data Portability in Finance
- Case Study: Ed-Tech and Student Privacy: The Pandemic Acceleration
- Key Takeaways: Chapter 24 — Sector-Specific Governance: Finance, Health, Education
- Further Reading: Sector-Specific Governance: Finance, Health, Education
-
Chapter 25: Enforcement, Compliance, and the Limits of Law
- Exercises: Enforcement, Compliance, and the Limits of Law
- Quiz: Enforcement, Compliance, and the Limits of Law
- Case Study: GDPR's Largest Fines: Enforcement Patterns
- Case Study: The FTC and Big Tech: Consent Decrees and Their Limitations
- Key Takeaways: Chapter 25 — Enforcement, Compliance, and the Limits of Law
- Further Reading: Enforcement, Compliance, and the Limits of Law
Part 5: Corporate Responsibility and Data Ethics in Practice
- Part 5: Corporate Responsibility and Data Ethics in Practice
-
Chapter 26: Building a Data Ethics Program
- Exercises: Building a Data Ethics Program
- Quiz: Building a Data Ethics Program
- Case Study: Microsoft's Responsible AI Program: Structure and Critique
- Case Study: Ethics Washing: When Corporate Ethics Is Performance
- Key Takeaways: Chapter 26 -- Building a Data Ethics Program
- Further Reading: Building a Data Ethics Program
-
Chapter 27: Data Stewardship and the Chief Data Officer
- Exercises: Data Stewardship and the Chief Data Officer
- Quiz: Data Stewardship and the Chief Data Officer
- Case Study: The CDO's Dilemma: Innovation vs. Governance at NovaCorp
- Case Study: Building a Data Catalog from Scratch
- Key Takeaways: Chapter 27 -- Data Stewardship and the Chief Data Officer
- Further Reading: Data Stewardship and the Chief Data Officer
-
Chapter 28: Privacy Impact Assessments and Ethical Reviews
- Exercises: Privacy Impact Assessments and Ethical Reviews
- Quiz: Privacy Impact Assessments and Ethical Reviews
- Case Study: A Model DPIA: Assessing a Facial Recognition Deployment
- Case Study: Ethical Review in Tech: Google's AI Ethics Board Controversy
- Key Takeaways: Chapter 28 -- Privacy Impact Assessments and Ethical Reviews
- Further Reading: Privacy Impact Assessments and Ethical Reviews
- Chapter 29: Responsible AI Development
-
Chapter 30: When Things Go Wrong: Breach Response and Crisis Ethics
- Exercises: When Things Go Wrong: Breach Response and Crisis Ethics
- Quiz: When Things Go Wrong: Breach Response and Crisis Ethics
- Case Study: The Target Breach: A Case Study in Incident Response
- Case Study: VitraMed's Data Breach: Ethics Under Pressure
- Key Takeaways: Chapter 30 -- When Things Go Wrong: Breach Response and Crisis Ethics
- Further Reading: When Things Go Wrong: Breach Response and Crisis Ethics
Part 6: Society, Justice, and Emerging Frontiers
- Part 6: Society, Justice, and Emerging Frontiers
-
Chapter 31: Misinformation, Disinformation, and Platform Governance
- Exercises: Misinformation, Disinformation, and Platform Governance
- Quiz: Misinformation, Disinformation, and Platform Governance
- Case Study: The Infodemic — COVID-19 Misinformation on Social Media
- Case Study: Section 230 vs. the EU DSA — Two Approaches to Platform Liability
- Key Takeaways: Chapter 31 — Misinformation, Disinformation, and Platform Governance
- Further Reading: Misinformation, Disinformation, and Platform Governance
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Chapter 32: Digital Divide, Data Justice, and Equity
- Exercises: Digital Divide, Data Justice, and Equity
- Quiz: Digital Divide, Data Justice, and Equity
- Case Study: Digital Redlining — Broadband Discrimination in American Cities
- Case Study: Data Feminism in Practice — Challenging Missing Data
- Key Takeaways: Chapter 32 — Digital Divide, Data Justice, and Equity
- Further Reading: Digital Divide, Data Justice, and Equity
-
Chapter 33: Labor, Automation, and the Gig Economy
- Exercises: Labor, Automation, and the Gig Economy
- Quiz: Labor, Automation, and the Gig Economy
- Case Study: Algorithmic Management at Amazon Warehouses
- Case Study: Uber Drivers and Data Asymmetry
- Key Takeaways: Chapter 33 — Labor, Automation, and the Gig Economy
- Further Reading: Labor, Automation, and the Gig Economy
-
Chapter 34: Environmental Data Ethics and Climate
- Exercises: Environmental Data Ethics and Climate
- Quiz: Environmental Data Ethics and Climate
- Case Study: The Carbon Footprint of GPT-4
- Case Study: Environmental Monitoring and Indigenous Land Rights
- Key Takeaways: Chapter 34 — Environmental Data Ethics and Climate
- Further Reading: Environmental Data Ethics and Climate
-
Chapter 35: Children, Teens, and Digital Vulnerability
- Exercises: Children, Teens, and Digital Vulnerability
- Quiz: Children, Teens, and Digital Vulnerability
- Case Study: The UK Age Appropriate Design Code in Practice
- Case Study: TikTok and Teen Mental Health — Evidence and Response
- Key Takeaways: Chapter 35 — Children, Teens, and Digital Vulnerability
- Further Reading: Children, Teens, and Digital Vulnerability
-
Chapter 36: National Security, Intelligence, and Democratic Oversight
- Exercises: National Security, Intelligence, and Democratic Oversight
- Quiz: National Security, Intelligence, and Democratic Oversight
- Case Study: The FISA Court — Secret Justice
- Case Study: The Encryption Wars — Apple vs. FBI
- Key Takeaways: Chapter 36 — National Security, Intelligence, and Democratic Oversight
- Further Reading: National Security, Intelligence, and Democratic Oversight
-
Chapter 37: Global South Perspectives on Data Governance
- Exercises: Global South Perspectives on Data Governance
- Quiz: Global South Perspectives on Data Governance
- Case Study: Aadhaar — India's Digital Identity Experiment
- Case Study: Data Governance in African Agriculture
- Key Takeaways: Chapter 37 — Global South Perspectives on Data Governance
- Further Reading: Global South Perspectives on Data Governance
Part 7: The Future of Data Governance
- Part 7: The Future of Data Governance
-
Chapter 38: Emerging Technologies and Anticipatory Governance
- Exercises: Emerging Technologies and Anticipatory Governance
- Quiz: Emerging Technologies and Anticipatory Governance
- Case Study: Neuralink and Neural Data Governance
- Case Study: Smart Cities — Singapore's Digital Twin
- Key Takeaways: Chapter 38 — Emerging Technologies and Anticipatory Governance
- Further Reading: Emerging Technologies and Anticipatory Governance
- Chapter 39: Designing Data Futures — Participation, Imagination, and Hope
Part 8: Capstone — Synthesis and Action
- Part 8: Capstone — Synthesis and Action
-
Chapter 40: Your Responsibility — From Knowledge to Action
- Exercises: Your Responsibility — From Knowledge to Action
- Quiz: Your Responsibility — From Knowledge to Action (Comprehensive)
- Case Study: A Data Ethics Portfolio — Building Your Professional Identity
- Case Study: From Classroom to Career — Pathways in Data Governance
- Key Takeaways: Chapter 40 — Your Responsibility: From Knowledge to Action
- Further Reading: Your Responsibility — From Knowledge to Action
Appendices
- Glossary
- Answers to Selected Exercises
- Bibliography
- Appendix A: Research Methods for Data Ethics
- Appendix B: Key Studies in Data Governance and AI Ethics
- Appendix C: Primary Sources Guide -- Annotated Key Documents
- Appendix D: Legal Frameworks Reference -- Comparative Data Protection Law
- Appendix E: Privacy Tools and Resource Directory
- Appendix F: Frequently Asked Questions
- Appendix G: Python Data Ethics Toolkit -- Consolidated Code Reference
Ethical Hacking: Tools, Techniques, and Processes for Penetration Testing, Vulnerability Assessment, and Security Mindset
Part 1: Foundations of Ethical Hacking
- Part 1: Foundations of Ethical Hacking
-
Chapter 1: Introduction to Ethical Hacking
- Chapter 1: Exercises — Introduction to Ethical Hacking
- Chapter 1: Quiz — Introduction to Ethical Hacking
- Case Study 1.1: Kevin Mitnick — From FBI's Most Wanted to Trusted Security Consultant
- Case Study 1.2: HackerOne, the Bug Bounty Revolution, and the CrowdStrike Falcon Incident
- Chapter 1: Key Takeaways — Introduction to Ethical Hacking
- Chapter 1: Further Reading — Introduction to Ethical Hacking
-
Chapter 2: Threat Landscape and Attack Taxonomy
- Chapter 2: Exercises — Threat Landscape and Attack Taxonomy
- Chapter 2: Quiz — Threat Landscape and Attack Taxonomy
- Case Study 2.1: The SolarWinds Supply Chain Attack
- Case Study 2.2: Colonial Pipeline Ransomware Attack and the Lapsus$ Group
- Chapter 2: Key Takeaways — Threat Landscape and Attack Taxonomy
- Chapter 2: Further Reading — Threat Landscape and Attack Taxonomy
-
Chapter 3: Setting Up Your Hacking Lab
- Chapter 3: Exercises — Setting Up Your Hacking Lab
- Chapter 3: Quiz — Setting Up Your Hacking Lab
- Case Study 3.1: The Student Who Scanned a Campus Network — Legality of Lab Environments
- Case Study 3.2: HackTheBox, TryHackMe, and SANS Cyber Ranges — The Online Training Platform Revolution
- Chapter 3: Key Takeaways — Setting Up Your Hacking Lab
- Chapter 3: Further Reading — Setting Up Your Hacking Lab
-
Chapter 4: Legal and Regulatory Framework
- Chapter 4 Exercises: Legal and Regulatory Framework
- Chapter 4 Quiz: Legal and Regulatory Framework
- Case Study 1: The Coalfire Iowa Courthouse Arrest — When Authorized Testing Goes Wrong
- Case Study 2: Marcus Hutchins (MalwareTech) — From WannaCry Hero to Federal Charges, and the Evolution of Bug Bounty Safe Harbors
- Key Takeaways: Chapter 4 — Legal and Regulatory Framework
- Further Reading: Chapter 4 — Legal and Regulatory Framework
-
Chapter 5: Ethics of Security Research
- Chapter 5 Exercises: Ethics of Security Research
- Chapter 5 Quiz: Ethics of Security Research
- Case Study 1: Google Project Zero's 90-Day Disclosure Policy and the Zerodium Vulnerability Market
- Case Study 2: Dan Kaminsky's DNS Vulnerability Disclosure — A Masterclass in Coordinated Disclosure
- Key Takeaways: Chapter 5 — Ethics of Security Research
- Further Reading: Chapter 5 — Ethics of Security Research
-
Chapter 6: Networking Fundamentals for Hackers
- Chapter 6 Exercises: Networking Fundamentals for Hackers
- Chapter 6 Quiz: Networking Fundamentals for Hackers
- Case Study 1: BGP Hijacking — Pakistan/YouTube and China Telecom Route Leaks
- Case Study 2: Heartbleed — How a Protocol-Level Flaw Exposed Millions, and DNS Cache Poisoning in the Wild
- Key Takeaways: Chapter 6 — Networking Fundamentals for Hackers
- Further Reading: Chapter 6 — Networking Fundamentals for Hackers
Part 2: Reconnaissance and Information Gathering
- Part 2: Reconnaissance and Information Gathering
-
Chapter 7: Passive Reconnaissance and OSINT
- Chapter 7 Exercises: Passive Reconnaissance and OSINT
- Chapter 7 Quiz: Passive Reconnaissance and OSINT
- Case Study 1: Bellingcat — OSINT Investigations Tracking Military Movements
- Case Study 2: Shodan ICS/SCADA Exposure and LinkedIn-Based OSINT Phishing Campaigns
- Key Takeaways: Chapter 7 — Passive Reconnaissance and OSINT
- Further Reading: Chapter 7 — Passive Reconnaissance and OSINT
-
Chapter 8: Active Reconnaissance
- Chapter 8 Exercises: Active Reconnaissance
- Chapter 8 Quiz: Active Reconnaissance
- Case Study 1: Capital One SSRF — How Reconnaissance Revealed the Attack Path
- Case Study 2: Subdomain Takeover Campaigns and Certificate Transparency Mining
- Key Takeaways: Chapter 8 — Active Reconnaissance
- Further Reading: Chapter 8 — Active Reconnaissance
-
Chapter 9: Social Engineering Reconnaissance
- Chapter 9 Exercises: Social Engineering Reconnaissance
- Chapter 9 Quiz: Social Engineering Reconnaissance
- Case Study 1: The 2020 Twitter/X Hack — A Teenager's Phone-Based Social Engineering Attack
- Case Study 2: RSA SecurID Breach via Phishing and Deepfake CEO Audio Fraud
- Key Takeaways: Chapter 9 — Social Engineering Reconnaissance
- Further Reading: Chapter 9 — Social Engineering Reconnaissance
-
Chapter 10: Scanning and Enumeration
- Chapter 10 Exercises: Scanning and Enumeration
- Chapter 10 Quiz: Scanning and Enumeration
- Case Study 10.1: Nmap in The Matrix and Masscan's Six-Minute Internet Scan
- Case Study 10.2: Exposed Databases — When MongoDB and Elasticsearch Meet Shodan
- Chapter 10 Key Takeaways: Scanning and Enumeration
- Chapter 10 Further Reading: Scanning and Enumeration
-
Chapter 11: Vulnerability Assessment
- Chapter 11 Exercises: Vulnerability Assessment
- Chapter 11 Quiz: Vulnerability Assessment
- Case Study 11.1: The Equifax Breach — When a Known Vulnerability Goes Unpatched
- Case Study 11.2: Log4Shell and the MOVEit Exploitation Campaign — The Anatomy of Mass Vulnerability Exploitation
- Chapter 11 Key Takeaways: Vulnerability Assessment
- Chapter 11 Further Reading: Vulnerability Assessment
Part 3: Exploitation — Network and System Attacks
- Part 3: Exploitation -- Network and System Attacks
-
Chapter 12: Exploitation Fundamentals and the Metasploit Framework
- Chapter 12: Exercises — Exploitation Fundamentals and Metasploit
- Chapter 12: Quiz — Exploitation Fundamentals and Metasploit
- Case Study 12.1: EternalBlue and WannaCry — How an NSA Exploit Became Global Ransomware
- Case Study 12.2: Zerologon (CVE-2020-1472) and the Origin Story of Metasploit
- Chapter 12: Key Takeaways — Exploitation Fundamentals and Metasploit
- Chapter 12: Further Reading — Exploitation Fundamentals and Metasploit
-
Chapter 13: Network-Based Attacks
- Chapter 13: Exercises — Network-Based Attacks
- Chapter 13: Quiz — Network-Based Attacks
- Case Study 13.1: NotPetya — Lateral Movement That Brought Global Shipping to Its Knees
- Case Study 13.2: Darkhotel APT — Man-in-the-Middle Attacks in Luxury Hotels
- Chapter 13: Key Takeaways — Network-Based Attacks
- Chapter 13: Further Reading — Network-Based Attacks
-
Chapter 14: Password Attacks and Authentication Bypass
- Chapter 14: Exercises — Password Attacks and Authentication Bypass
- Chapter 14: Quiz — Password Attacks and Authentication Bypass
- Case Study 14.1: The RockYou Breach — 32 Million Plaintext Passwords and the Birth of a Wordlist
- Case Study 14.2: Collection #1-5 Credential Dumps and the SolarWinds "solarwinds123" Password
- Chapter 14: Key Takeaways — Password Attacks and Authentication Bypass
- Chapter 14: Further Reading — Password Attacks and Authentication Bypass
- Chapter 15: Linux Exploitation and Privilege Escalation
-
Chapter 16: Windows Exploitation and Privilege Escalation
- Chapter 16 Exercises: Windows Exploitation and Privilege Escalation
- Chapter 16 Quiz: Windows Exploitation and Privilege Escalation
- Case Study 1: PrintNightmare (CVE-2021-34527)
- Case Study 2: HiveNightmare/SeriousSAM and Golden SAML in the SolarWinds Attack
- Chapter 16 Key Takeaways
- Chapter 16 Further Reading
- Chapter 17: Active Directory Attacks
Part 4: Exploitation — Web and Application Attacks
- Part 4: Exploitation -- Web and Application Attacks
-
Chapter 18: Web Application Security Fundamentals
- Chapter 18 Exercises: Web Application Security Fundamentals
- Chapter 18 Quiz: Web Application Security Fundamentals
- Case Study 1: The Evolution of the OWASP Top 10 --- How Web Threats Have Changed
- Case Study 2: The MOVEit Breach Chain and the Burp Suite/PortSwigger Ecosystem
- Chapter 18 Key Takeaways: Web Application Security Fundamentals
- Chapter 18 Further Reading: Web Application Security Fundamentals
-
Chapter 19: Injection Attacks
- Chapter 19 Exercises: Injection Attacks
- Chapter 19 Quiz: Injection Attacks
- Case Study 1: Heartland Payment Systems --- 130 Million Cards Stolen via SQL Injection
- Case Study 2: TalkTalk Teenager SQLi and HackerOne UNION-Based Bounties
- Chapter 19 Key Takeaways: Injection Attacks
- Chapter 19 Further Reading: Injection Attacks
-
Chapter 20: Cross-Site Scripting and Client-Side Attacks
- Chapter 20 Exercises: Cross-Site Scripting and Client-Side Attacks
- Chapter 20 Quiz: Cross-Site Scripting and Client-Side Attacks
- Case Study 1: The Samy Worm on MySpace (2005) --- The Fastest Spreading Virus Ever
- Case Study 2: British Airways Magecart Attack and Major XSS Bug Bounties
- Chapter 20 Key Takeaways: Cross-Site Scripting and Client-Side Attacks
- Chapter 20 Further Reading: Cross-Site Scripting and Client-Side Attacks
-
Chapter 21: Authentication and Session Attacks
- Chapter 21 Exercises: Authentication and Session Attacks
- Chapter 21 Quiz: Authentication and Session Attacks
- Case Study 1: OAuth Redirect Vulnerabilities and JWT "none" Algorithm Attacks in Bug Bounty Reports
- Case Study 2: The Uber MFA Fatigue Attack — When Lapsus$ Bypassed Multi-Factor Authentication
- Chapter 21 Key Takeaways: Authentication and Session Attacks
- Chapter 21 Further Reading: Authentication and Session Attacks
-
Chapter 22: Server-Side Attacks
- Chapter 22 Exercises: Server-Side Attacks
- Chapter 22 Quiz: Server-Side Attacks
- Case Study 1: Capital One SSRF — From a Single SSRF to 100 Million Customer Records
- Case Study 2: Apple iCloud XXE and Log4Shell — When Server-Side Parsing Becomes Remote Code Execution
- Chapter 22 Key Takeaways: Server-Side Attacks
- Chapter 22 Further Reading: Server-Side Attacks
-
Chapter 23: API Security Testing
- Chapter 23 Exercises: API Security Testing
- Chapter 23 Quiz: API Security Testing
- Case Study 1: The Optus Breach — When an Unauthenticated API Endpoint Exposes a Nation
- Case Study 2: Peloton API Exposure and T-Mobile's Recurring API Breaches — A Pattern of Failure
- Chapter 23 Key Takeaways: API Security Testing
- Chapter 23 Further Reading: API Security Testing
Part 5: Post-Exploitation and Advanced Techniques
- Part 5: Post-Exploitation and Advanced Techniques
-
Chapter 24: Post-Exploitation and Pivoting
- Chapter 24 Exercises: Post-Exploitation and Pivoting
- Chapter 24 Quiz: Post-Exploitation and Pivoting
- Case Study 1: APT29/Cozy Bear — SolarWinds Supply Chain Attack and Lateral Movement
- Case Study 2: FIN7 Post-Exploitation Playbook and the 2022 Uber Breach
- Chapter 24 Key Takeaways: Post-Exploitation and Pivoting
- Chapter 24 Further Reading: Post-Exploitation and Pivoting
-
Chapter 25: Wireless Network Attacks
- Chapter 25 Exercises: Wireless Network Attacks
- Chapter 25 Quiz: Wireless Network Attacks
- Case Study 1: KRACK — When Every Wi-Fi Device in the World Was Vulnerable
- Case Study 2: TJX — The $256 Million WEP Cracking Breach and Dragonblood WPA3 Attacks
- Chapter 25 Key Takeaways: Wireless Network Attacks
- Chapter 25 Further Reading: Wireless Network Attacks
-
Chapter 26: Social Engineering Attacks
- Chapter 26 Exercises: Social Engineering Attacks
- Chapter 26 Quiz: Social Engineering Attacks
- Case Study 1: Twitter/X 2020 — Phone Social Engineering Attack on Employees
- Case Study 2: RSA SecurID Breach via Phishing and DPRK Crypto Job Offer Scams
- Chapter 26 Key Takeaways: Social Engineering Attacks
- Chapter 26 Further Reading: Social Engineering Attacks
-
Chapter 27: Evasion and Anti-Detection Techniques
- Chapter 27 Exercises: Evasion and Anti-Detection Techniques
- Chapter 27 Quiz: Evasion and Anti-Detection Techniques
- Case Study 27.1: Cobalt Strike — From Red Team Crown Jewel to Threat Actor Favorite
- Case Study 27.2: Volt Typhoon and the Evolution of Living Off the Land
- Chapter 27 Key Takeaways: Evasion and Anti-Detection Techniques
- Chapter 27 Further Reading: Evasion and Anti-Detection Techniques
-
Chapter 28: Cryptography for Hackers
- Chapter 28 Exercises: Cryptography for Hackers
- Chapter 28 Quiz: Cryptography for Hackers
- Case Study 28.1: POODLE, BEAST, and DROWN — A History of Breaking TLS
- Case Study 28.2: Adobe's ECB Mode Disaster and the Let's Encrypt Revolution
- Chapter 28 Key Takeaways: Cryptography for Hackers
- Chapter 28 Further Reading: Cryptography for Hackers
Part 6: Specialized Domains
- Part 6: Specialized Domains
-
Chapter 29: Cloud Security Testing
- Chapter 29 Exercises: Cloud Security Testing
- Chapter 29 Quiz: Cloud Security Testing
- Case Study 29.1: Capital One S3 Breach and the Uber Credential Exposure
- Case Study 29.2: Azure ChaosDB — Cross-Tenant Access to Cosmos DB
- Chapter 29 Key Takeaways: Cloud Security Testing
- Chapter 29 Further Reading: Cloud Security Testing
-
Chapter 30: Mobile Application Security
- Chapter 30 Exercises: Mobile Application Security
- Chapter 30 Quiz: Mobile Application Security
- Case Study 30.1: TikTok Vulnerabilities and Starbucks Plaintext Credentials
- Case Study 30.2: NSO Group's Pegasus — Zero-Click Mobile Exploitation
- Chapter 30 Key Takeaways: Mobile Application Security
- Chapter 30 Further Reading: Mobile Application Security
-
Chapter 31: IoT and Embedded Systems Hacking
- Chapter 31 Exercises: IoT and Embedded Systems Hacking
- Chapter 31 Quiz: IoT and Embedded Systems Hacking
- Case Study 31.1: The Mirai Botnet — IoT Devices as DDoS Weapons
- Case Study 31.2: The Jeep Cherokee Remote Hack and Ring Doorbell Vulnerabilities
- Chapter 31 Key Takeaways: IoT and Embedded Systems Hacking
- Chapter 31 Further Reading: IoT and Embedded Systems Hacking
-
Chapter 32: Container and Kubernetes Security
- Chapter 32 Exercises: Container and Kubernetes Security
- Chapter 32 Quiz: Container and Kubernetes Security
- Case Study 1: Tesla Kubernetes Dashboard Crypto-Mining Incident
- Case Study 2: Codecov Docker Supply Chain Compromise and Azurescape Cross-Tenant Container Escape
- Chapter 32 Key Takeaways: Container and Kubernetes Security
- Chapter 32 Further Reading: Container and Kubernetes Security
-
Chapter 33: AI and Machine Learning Security
- Chapter 33 Exercises: AI and Machine Learning Security
- Chapter 33 Quiz: AI and Machine Learning Security
- Case Study 1: ChatGPT Prompt Injection Attacks and Adversarial Patches Fooling Autonomous Vehicles
- Case Study 2: AI-Powered Phishing Studies and Model Extraction Attacks on ML APIs
- Chapter 33 Key Takeaways: AI and Machine Learning Security
- Chapter 33 Further Reading: AI and Machine Learning Security
Part 7: Modern Threats and Operations
- Part 7: Modern Threats and Operations
-
Chapter 34: Supply Chain Security
- Chapter 34 Exercises: Supply Chain Security
- Chapter 34 Quiz: Supply Chain Security
- Case Study 34.1: SolarWinds Orion — The Most Sophisticated Supply Chain Attack in History
- Case Study 34.2: Kaseya VSA Ransomware and XZ Utils Backdoor (CVE-2024-3094)
- Chapter 34 Key Takeaways: Supply Chain Security
- Chapter 34 Further Reading: Supply Chain Security
-
Chapter 35: Red Team Operations
- Chapter 35 Exercises: Red Team Operations
- Chapter 35 Quiz: Red Team Operations
- Case Study 35.1: MITRE ATT&CK Evaluations — How Vendors Perform Against Real APT Techniques
- Case Study 35.2: TIBER-EU Bank Red Team Exercises and the Equation Group Tools Leak
- Chapter 35 Key Takeaways: Red Team Operations
- Chapter 35 Further Reading: Red Team Operations
-
Chapter 36: Bug Bounty Hunting
- Chapter 36 Exercises: Bug Bounty Hunting
- Chapter 36 Quiz: Bug Bounty Hunting
- Case Study 36.1: Santiago Lopez — First Teenager to Earn $1M on HackerOne
- Case Study 36.2: Google VRP $12M+ Payouts and Apple Security Research Device Program
- Chapter 36 Key Takeaways: Bug Bounty Hunting
- Chapter 36 Further Reading: Bug Bounty Hunting
-
Chapter 37: Incident Response and Digital Forensics
- Chapter 37 Exercises: Incident Response and Digital Forensics
- Chapter 37 Quiz: Incident Response and Digital Forensics
- Case Study 37.1: CrowdStrike Investigation of DNC Hack — Attribution to Russian Intelligence
- Case Study 37.2: Mandiant APT1 Report and the Kaseya VSA Incident Response
- Chapter 37 Key Takeaways: Incident Response and Digital Forensics
- Chapter 37 Further Reading: Incident Response and Digital Forensics
Part 8: Professional Practice
- Part 8: Professional Practice
-
Chapter 38: Penetration Testing Methodology and Standards
- Exercises: Penetration Testing Methodology and Standards
- Quiz: Penetration Testing Methodology and Standards
- Case Study 1: PCI DSS Penetration Testing --- When Compliance Passes But Security Fails
- Case Study 2: CREST Accreditation and the Evolution of the OWASP Testing Guide
- Key Takeaways: Penetration Testing Methodology and Standards
- Further Reading: Penetration Testing Methodology and Standards
-
Chapter 39: Writing Effective Pentest Reports
- Exercises: Writing Effective Pentest Reports
- Quiz: Writing Effective Pentest Reports
- Case Study 1: Good vs. Bad Pentest Reports --- Real Anonymized Examples
- Case Study 2: Report Anti-Patterns and the OSCP Report Model
- Key Takeaways: Writing Effective Pentest Reports
- Further Reading: Writing Effective Pentest Reports
-
Chapter 40: Security Compliance and Governance
- Exercises: Security Compliance and Governance
- Quiz: Security Compliance and Governance
- Case Study 1: Target's PCI DSS Breach --- Compliant on Paper, Compromised in Practice
- Case Study 2: HIPAA Pentest Discoveries and EU NIS2 Security Testing Requirements
- Key Takeaways: Security Compliance and Governance
- Further Reading: Security Compliance and Governance
-
Chapter 41: Career Paths and Continuous Learning
- Exercises: Career Paths and Continuous Learning
- Quiz: Career Paths and Continuous Learning
- Case Study 1: Career Journeys --- Katie Moussouris, HD Moore, and Jayson E. Street
- Case Study 2: The Conference Ecosystem and the OSCP Certification Journey
- Key Takeaways: Career Paths and Continuous Learning
- Further Reading: Career Paths and Continuous Learning
Part 9: Capstone Projects
Appendices
- Glossary
- Answers to Selected Exercises
- Bibliography
- Python Reference for Security Scripts
- Tool Reference
- Quick-Reference Cards
- Templates and Worksheets
- Resource Directory
- Frequently Asked Questions
- Legal Reference
- Certification Roadmap
- Historical Timeline of Hacking and Cybersecurity
- Common Ports and Protocols Reference
Fandom as a Social System
Front Matter
Part I: Foundations
- Part Intro
-
Chapter 1: More Than Just a Fan — Defining Fandom as a Social System
- Chapter 1 Exercises: More Than Just a Fan — Defining Fandom as a Social System
- Chapter 1 Quiz: More Than Just a Fan — Defining Fandom as a Social System
- Case Study 1.1: 1.6 Million Signatures — The Game of Thrones Season 8 Petition and What It Reveals About Fandom as Social System
- Case Study 1.2: Stitch's Media Mix and the Fan/Viewer Divide — Comparing Responses to the Same Text
- Chapter 1 Key Takeaways: More Than Just a Fan
- Chapter 1 Further Reading: More Than Just a Fan
-
Chapter 2: Before the Internet — Zines, Clubs, and the Pre-Digital Fan
- Chapter 2 Exercises: Before the Internet — Zines, Clubs, and the Pre-Digital Fan
- Chapter 2 Quiz: Before the Internet — Zines, Clubs, and the Pre-Digital Fan
- Case Study 2.1: The Baker Street Irregulars (Founded 1934) — The Architecture of the First Modern Fan Organization
- Case Study 2.2: *Spockanalia* (1967) — Close Reading the First Star Trek Fanzine and Its Significance
- Chapter 2 Key Takeaways: Before the Internet — Zines, Clubs, and the Pre-Digital Fan
- Chapter 2 Further Reading: Before the Internet
-
Chapter 3: The Digital Revolution and Fandom's Transformation
- Chapter 3 Exercises: The Digital Revolution and Fandom's Transformation
- Chapter 3 Quiz: The Digital Revolution and Fandom's Transformation
- Case Study 3.1: Before and After — Tumblr's 2018 NSFW Ban and the Supernatural/Destiel Fandom
- Case Study 3.2: The Archive of Our Own — Fans Building Their Own Platform in Response to Platform Instability, 2007–2009
- Chapter 3 Key Takeaways: The Digital Revolution and Fandom's Transformation
- Chapter 3 Further Reading: The Digital Revolution and Fandom's Transformation
- Chapter 4: Academic Fan Studies — A History of the Field
- Chapter 5: Frameworks for Analysis — How to Study Fandom
Part II: Identity, Self, and Belonging
Part III: Community Architecture and Governance
- Part Intro
- Chapter 11: How Fan Communities Form — Network Dynamics
- Chapter 12: Subcultural Capital, Hierarchies, and the "Real Fan" Problem
-
Chapter 13: Community Governance — Rules, Norms, and Enforcement
- Chapter 13 Exercises
- Chapter 13 Quiz
- Case Study 13.1: The Organization for Transformative Works — How Fans Built a Democratic Institution (and What It Costs)
- Case Study 13.2: The Reddit r/fanfiction Governance History — 15+ Years of Community Rule Evolution
- Chapter 13 Key Takeaways
- Chapter 13 Further Reading
- Chapter 14: Conflict, Drama, and the Sociology of Fan Wars
- Chapter 15: Toxic Fandom, Harassment, and Online Safety
- Chapter 16: Fandom and Social Movements — Activism and Collective Action
Part IV: The Gift Economy, Fan Labor, and Creative Production
- Part Intro
- Chapter 17: The Gift Economy — Theory and Practice
- Chapter 18: Fan Fiction — History, Genres, and Communities
- Chapter 19: Visual Fan Creativity — Fan Art, Cosplay, and Material Culture
- Chapter 20: Vids, Fan Films, and Transformative Audiovisual Work
- Chapter 21: Fan Labor — Unpaid Work and the Platform Economy
- Chapter 22: Professionalization and the Fan-to-Industry Pipeline
Part V: Parasocial Relationships and the Creator-Fan Bond
- Part Intro
- Chapter 23: Parasocial Relationships — Foundations and Theory
- Chapter 24: Celebrity, Stan Culture, and the Intensity Spectrum
- Chapter 25: The Creator-Fan Relationship in Digital Media
-
Chapter 26: RPF (Real Person Fiction) — Ethics, Aesthetics, and Controversy
- Chapter 26 Exercises
- Chapter 26 Quiz
- Case Study 26.1: Larry Stylinson — One Direction, Extreme Shipping, and the Documented Costs of RPF
- Case Study 26.2: RPF in Political Context — Satire, Unauthorized Biography, and the Special Case of Public Officials
- Chapter 26 Key Takeaways
- Chapter 26 Further Reading
- Chapter 27: Celebrity Death, Hiatus, and Parasocial Loss
Part VI: Platform Ecosystems and Fan Culture Infrastructure
- Part Intro
- Chapter 28: Platform Studies and Fandom — A Framework
- Chapter 29: Twitter/X, Tumblr, and the Microblogging Fandom
- Chapter 30: Reddit, Discord, and Structured Fan Communities
- Chapter 31: TikTok, YouTube, and Algorithmic Fan Culture
- Chapter 32: AO3, Wattpad, and Dedicated Fan Platforms
-
Chapter 33: International Fandom and Platform Geography
- Chapter 33 Exercises
- Chapter 33 Quiz
- Case Study 33-1: Brazilian ARMY's Organizational Infrastructure — How Brazil Became a K-pop Fan Coordination Powerhouse
- Case Study 33-2: Chinese K-pop Fandom Under Platform Censorship — Operating Under Weibo Censorship, VPN Culture, and Political Risk
- Chapter 33 Key Takeaways
- Chapter 33 Further Reading
Part VII: Fandom Specifics — Genre Case Studies
- Part Intro
- Chapter 34: K-Pop Fandom — Organization, Labor, and Global Reach
-
Chapter 35: Sports Fandom — Loyalty, Tribalism, and the Stadium
- Chapter 35 Exercises
- Chapter 35 Quiz
- Case Study 35.1: The 2016 Chicago Cubs World Series — 108 Years, the Curse, and the Meaning of Athletic Victory
- Case Study 35.2: Football Ultras and Supporter Culture — Institutionalized Fan Labor in European Soccer
- Chapter 35 Key Takeaways
- Chapter 35 Further Reading
- Chapter 36: Anime and Manga Fandom — Global Otaku Culture
-
Chapter 37: Gaming Communities — Esports, Speedrunning, and Modding
- Chapter 37 Exercises: Gaming Communities
- Chapter 37 Quiz: Gaming Communities
- Case Study 37.1: Games Done Quick — Gift Economy, Collective Spectacle, and the Speedrunning Marathon
- Case Study 37.2: The Skyrim Modding Ecosystem — Fan Labor, Corporate Extraction, and Community Revolt
- Chapter 37 Key Takeaways
- Chapter 37 Further Reading
-
Chapter 38: Transmedia Storytelling and Multi-Platform Fandoms
- Chapter 38 Exercises: Transmedia Storytelling and Multi-Platform Fandoms
- Chapter 38 Quiz: Transmedia Storytelling and Multi-Platform Fandoms
- Case Study 38.1: The MCU's Phase 4 Disney+ Expansion — Fan Communities and the Explosion of Canonical Content
- Case Study 38.2: A Song of Ice and Fire / Game of Thrones — Split Communities and the Adaptation That Overtook Its Source
- Chapter 38 Key Takeaways
- Chapter 38 Further Reading
Part VIII: Copyright, Commerce, and the Fandom Economy
- Part Intro
-
Chapter 39: Copyright, Transformative Use, and Fan Creativity
- Chapter 39 Exercises: Copyright, Transformative Use, and Fan Creativity
- Chapter 39 Quiz: Copyright, Transformative Use, and Fan Creativity
- Case Study 39-1: The Organization for Transformative Works — Building a Legal Architecture for Fan Creativity
- Case Study 39-2: The Harry Potter Fan Site Wars — From Aggressive Suppression to Complex Legacy
- Chapter 39 Key Takeaways: Copyright, Transformative Use, and Fan Creativity
- Chapter 39 Further Reading: Copyright, Transformative Use, and Fan Creativity
-
Chapter 40: Industry Responses to Fan Creativity — Cease and Desist to Embrace
- Chapter 40 Exercises: Industry Responses to Fan Creativity — Cease and Desist to Embrace
- Chapter 40 Quiz: Industry Responses to Fan Creativity — Cease and Desist to Embrace
- Case Study 40-1: Disney, the MCU, and the Evolution of Fan Community Management
- Case Study 40-2: The FanFiction.net M-Rated Purge of 2012 — Platform Tolerance, Fan Migration, and the AO3 Watershed
- Chapter 40 Key Takeaways: Industry Responses to Fan Creativity — Cease and Desist to Embrace
- Chapter 40 Further Reading: Industry Responses to Fan Creativity — Cease and Desist to Embrace
-
Chapter 41: The Fan Economy — Merchandise, Conventions, and Commerce
- Chapter 41 Exercises: The Fan Economy — Merchandise, Conventions, and Commerce
- Chapter 41 Quiz: The Fan Economy — Merchandise, Conventions, and Commerce
- Case Study 41-1: San Diego Comic-Con — From Fan-Run Gathering to Corporate Marketing Vehicle
- Case Study 41-2: BTS and the K-Pop Physical Album Economy — Fan Purchasing as Labor, Community, and Environmental Controversy
- Chapter 41 Key Takeaways: The Fan Economy — Merchandise, Conventions, and Commerce
- Chapter 41 Further Reading: The Fan Economy — Merchandise, Conventions, and Commerce
Part IX: Capstone Studies
- Part Intro
- Chapter 42: Capstone I — BTS and the ARMY: A Complete System Analysis
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Chapter 43: Capstone II — Fandom at the Margins: Intersectional Fan Experiences
- Chapter 43 Exercises: Fandom at the Margins — Intersectional Fan Experiences
- Chapter 43 Quiz: Fandom at the Margins — Intersectional Fan Experiences
- Case Study 43.1: Rukmini Pande's *Squee from the Margins* — The Text That Changed Fan Studies
- Case Study 43.2: The Ironheart Representation Debate — Priya, IronHeartForever, and What "Representation" Means
- Chapter 43 Key Takeaways: Fandom at the Margins — Intersectional Fan Experiences
- Chapter 43 Further Reading: Fandom at the Margins — Intersectional Fan Experiences
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Chapter 44: Capstone III — The Future of Fandom: AI, Ownership, and What Comes Next
- Chapter 44 Exercises: The Future of Fandom — AI, Ownership, and What Comes Next
- Chapter 44 Quiz: The Future of Fandom — AI, Ownership, and What Comes Next
- Case Study 44.1: AO3's AI Policy Debates (2023–Present) — Community Governance at the Frontier
- Case Study 44.2: IronHeartForever's Career in 2025 — Human Creativity at the AI Frontier
- Chapter 44 Key Takeaways: The Future of Fandom — AI, Ownership, and What Comes Next
- Chapter 44 Further Reading: The Future of Fandom — AI, Ownership, and What Comes Next
History Of Appalachia
Part I: The Land Before
- Part One: The Land Before
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Chapter 1: The Oldest Mountains in the World — Geological History and How the Land Shaped Everything That Followed
- Chapter 1 Exercises: The Oldest Mountains in the World
- Chapter 1 Quiz: The Oldest Mountains in the World
- Case Study 1: The New River — One of the Oldest Rivers on Earth
- Case Study 2: Coal Formation in the Appalachian Basin — How Ancient Swamps Became the Region's Destiny
- Chapter 1 Key Takeaways: The Oldest Mountains in the World
- Chapter 1 Further Reading: The Oldest Mountains in the World
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Chapter 2: First Peoples — 10,000 Years of Indigenous Life in the Appalachian Mountains
- Chapter 2 Exercises: First Peoples — 10,000 Years of Indigenous Life
- Chapter 2 Quiz: First Peoples — 10,000 Years of Indigenous Life
- Case Study 1: The Poverty Point and Adena Mound Builders — Archaeological Evidence of Complex Societies
- Case Study 2: Trade Networks of the Pre-Contact Mountains — How Mica, Copper, Shells, and Other Goods Moved Thousands of Miles
- Chapter 2 Key Takeaways: First Peoples — 10,000 Years of Indigenous Life
- Chapter 2 Further Reading: First Peoples — 10,000 Years of Indigenous Life
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Chapter 3: Cherokee Appalachia — The Nation That Shaped the Mountains
- Chapter 3 Exercises: Cherokee Appalachia — The Nation That Shaped the Mountains
- Chapter 3 Quiz: Cherokee Appalachia — The Nation That Shaped the Mountains
- Case Study 1: Sequoyah and the Cherokee Syllabary — One Mind, One Language, One Revolution
- Case Study 2: Cherokee Agricultural Systems and Land Management — The Sophistication That Was Erased
- Chapter 3 Key Takeaways: Cherokee Appalachia — The Nation That Shaped the Mountains
- Chapter 3 Further Reading: Cherokee Appalachia — The Nation That Shaped the Mountains
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Chapter 4: Contact, Colonization, and the Unmaking of Indigenous Appalachia
- Chapter 4 Exercises: Contact, Colonization, and the Unmaking of Indigenous Appalachia
- Chapter 4 Quiz: Contact, Colonization, and the Unmaking of Indigenous Appalachia
- Case Study 4.1: The Trail of Tears Through Appalachian Eyes
- Case Study 4.2: The Proclamation Line of 1763 — A Border That Could Not Hold
- Key Takeaways: Chapter 4
- Further Reading: Chapter 4
Part II: Settlement and the Frontier
- Part Two: Settlement and the Frontier
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Chapter 5: Who Came to the Mountains? Scotch-Irish, German, English, and African Migration into Appalachia
- Chapter 5 Exercises: Who Came to the Mountains? Migration into Appalachia
- Chapter 5 Quiz: Who Came to the Mountains? Migration into Appalachia
- Case Study 5.1: The Great Wagon Road — Migration Highway to the Mountains
- Case Study 5.2: German Communities in the Shenandoah Valley
- Key Takeaways: Chapter 5
- Further Reading: Chapter 5
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Chapter 6: Slavery in the Mountains — The Hidden History of Black Appalachia
- Chapter 6 Exercises: Slavery in the Mountains — The Hidden History of Black Appalachia
- Chapter 6 Quiz: Slavery in the Mountains — The Hidden History of Black Appalachia
- Case Study 6.1: Salt Works and Enslaved Labor in the Kanawha Valley
- Case Study 6.2: Free Black Communities in Pre-War Appalachia
- Key Takeaways: Chapter 6
- Further Reading: Chapter 6
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Chapter 7: The Frontier Economy — Subsistence, Trade, and the First Industries
- Exercises — Chapter 7: The Frontier Economy
- Quiz — Chapter 7: The Frontier Economy
- Case Study 1 — The Ginseng Trade: Appalachia's First Global Export
- Case Study 2 — Iron Furnaces of the Southern Mountains
- Key Takeaways — Chapter 7: The Frontier Economy
- Further Reading — Chapter 7: The Frontier Economy
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Chapter 8: Religion, Community, and Culture in Early Appalachia
- Exercises — Chapter 8: Religion, Community, and Culture in Early Appalachia
- Quiz — Chapter 8: Religion, Community, and Culture in Early Appalachia
- Case Study 1 — The Cane Ridge Revival of 1801
- Case Study 2 — The Ballad Tradition: Songs That Crossed the Ocean
- Key Takeaways — Chapter 8: Religion, Community, and Culture in Early Appalachia
- Further Reading — Chapter 8: Religion, Community, and Culture in Early Appalachia
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Chapter 9: Women on the Frontier — Gender, Labor, and Survival in Mountain Communities
- Chapter 9 Exercises: Women on the Frontier — Gender, Labor, and Survival in Mountain Communities
- Chapter 9 Quiz: Women on the Frontier — Gender, Labor, and Survival in Mountain Communities
- Case Study 9.1: Mary Draper Ingles and the Limits of the Captivity Narrative
- Case Study 9.2: Midwives, Healers, and the Informal Health System
- Key Takeaways — Chapter 9: Women on the Frontier — Gender, Labor, and Survival in Mountain Communities
- Further Reading — Chapter 9: Women on the Frontier — Gender, Labor, and Survival in Mountain Communities
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Chapter 10: Revolution, Republic, and the Whiskey Rebellion — Appalachia in the New Nation
- Chapter 10 Exercises: Revolution, Republic, and the Whiskey Rebellion — Appalachia in the New Nation
- Chapter 10 Quiz: Revolution, Republic, and the Whiskey Rebellion — Appalachia in the New Nation
- Case Study 10.1: The Battle of Kings Mountain — Appalachian Backwoodsmen Turn the War
- Case Study 10.2: The Whiskey Rebellion and the Question of Federal Authority
- Key Takeaways — Chapter 10: Revolution, Republic, and the Whiskey Rebellion — Appalachia in the New Nation
- Further Reading — Chapter 10: Revolution, Republic, and the Whiskey Rebellion — Appalachia in the New Nation
Part III: Civil War and Aftermath
- Part Three: The Civil War and Its Aftermath
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Chapter 11: A Region Divided — Appalachia and the Civil War
- Chapter 11 Exercises: A Region Divided — Appalachia and the Civil War
- Chapter 11 Quiz: A Region Divided — Appalachia and the Civil War
- Case Study 11.1: The Creation of West Virginia — A State Born from Division
- Case Study 11.2: East Tennessee Unionists and the Bridge Burners
- Chapter 11 Key Takeaways: A Region Divided — Appalachia and the Civil War
- Chapter 11 Further Reading: A Region Divided — Appalachia and the Civil War
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Chapter 12: Emancipation in the Mountains — Black Appalachians from Slavery to Freedom
- Chapter 12 Exercises: Emancipation in the Mountains — Black Appalachians from Slavery to Freedom
- Chapter 12 Quiz: Emancipation in the Mountains — Black Appalachians from Slavery to Freedom
- Case Study 12.1: Freedmen's Schools in Appalachia
- Case Study 12.2: Black Land Ownership and Dispossession in the Mountains
- Chapter 12 Key Takeaways: Emancipation in the Mountains — Black Appalachians from Slavery to Freedom
- Chapter 12 Further Reading: Emancipation in the Mountains — Black Appalachians from Slavery to Freedom
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Chapter 13: The Feud Mythology — What Really Happened (and What It Was Really About)
- Chapter 13 Exercises: The Feud Mythology
- Chapter 13 Quiz: The Feud Mythology
- Case Study 1: Hatfields and McCoys — A Property Dispute Becomes a National Myth
- Case Study 2: How Newspapers Manufactured the "Feuding Hillbilly"
- Chapter 13 Key Takeaways: The Feud Mythology
- Chapter 13 Further Reading: The Feud Mythology
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Chapter 14: The "Discovery" of Appalachia — How Outsiders Invented a Region
- Chapter 14 Exercises: The "Discovery" of Appalachia
- Chapter 14 Quiz: The "Discovery" of Appalachia
- Case Study 1: William Goodell Frost and "Our Contemporary Ancestors"
- Case Study 2: The Settlement School Movement — Help or Colonization?
- Chapter 14 Key Takeaways: The "Discovery" of Appalachia
- Chapter 14 Further Reading: The "Discovery" of Appalachia
Part IV: Industrialization and Extraction
- Part Four: Industrialization and Extraction
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Chapter 15: King Coal — How the Coal Industry Transformed Appalachia
- Chapter 15 Exercises: King Coal — How the Coal Industry Transformed Appalachia
- Chapter 15 Quiz: King Coal — How the Coal Industry Transformed Appalachia
- Case Study 15.1: The Broad Form Deed — Signing Away a Mountain for Pennies
- Case Study 15.2: Harlan County's Transformation from Farm to Coalfield
- Chapter 15 Key Takeaways: King Coal — How the Coal Industry Transformed Appalachia
- Chapter 15 Further Reading: King Coal — How the Coal Industry Transformed Appalachia
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Chapter 16: Company Towns — Living Under Corporate Rule
- Chapter 16 Exercises: Company Towns — Living Under Corporate Rule
- Chapter 16 Quiz: Company Towns — Living Under Corporate Rule
- Case Study 1: U.S. Coal and Coke in Lynch, Kentucky — A Company Town in Detail
- Case Study 2: Scrip, the Company Store, and the Economics of Captive Labor
- Chapter 16 Key Takeaways: Company Towns — Living Under Corporate Rule
- Chapter 16 Further Reading: Company Towns — Living Under Corporate Rule
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Chapter 17: Blood on the Coal — Labor Wars in the Mountains
- Chapter 17 Exercises: Blood on the Coal — Labor Wars in the Mountains
- Chapter 17 Quiz: Blood on the Coal — Labor Wars in the Mountains
- Case Study 1: The Battle of Blair Mountain — The Largest Armed Uprising Since the Civil War
- Case Study 2: "Bloody Harlan" — Terror and Solidarity in Kentucky's Coalfields
- Chapter 17 Key Takeaways: Blood on the Coal — Labor Wars in the Mountains
- Chapter 17 Further Reading: Blood on the Coal — Labor Wars in the Mountains
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Chapter 18: Timber, Railroads, and Environmental Devastation — The First Extraction
- Chapter 18 Exercises: Timber, Railroads, and Environmental Devastation — The First Extraction
- Chapter 18 Quiz: Timber, Railroads, and Environmental Devastation — The First Extraction
- Case Study 1: The Clearcut — How Lumber Companies Stripped the Mountains Bare
- Case Study 2: The Norfolk and Western Railway — Opening the Coalfields
- Chapter 18 Key Takeaways: Timber, Railroads, and Environmental Devastation — The First Extraction
- Chapter 18 Further Reading: Timber, Railroads, and Environmental Devastation — The First Extraction
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Chapter 19: Immigrant Appalachia — The Diversity of the Coalfields
- Chapter 19 Exercises: Immigrant Appalachia — The Diversity of the Coalfields
- Chapter 19 Quiz: Immigrant Appalachia — The Diversity of the Coalfields
- Case Study 1: Italian, Hungarian, and Polish Miners in the West Virginia Coalfields
- Case Study 2: Black Miners and the Interracial Promise of the UMWA
- Chapter 19 Key Takeaways: Immigrant Appalachia — The Diversity of the Coalfields
- Chapter 19 Further Reading: Immigrant Appalachia — The Diversity of the Coalfields
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Chapter 20: The Great Migration Out — Why Millions Left the Mountains
- Chapter 20 Exercises: The Great Migration Out — Why Millions Left the Mountains
- Chapter 20 Quiz: The Great Migration Out — Why Millions Left the Mountains
- Case Study 1: The Hillbilly Highway — Route 23 and the Road to Detroit
- Case Study 2: Urban Appalachians in Cincinnati and Chicago
- Chapter 20 Key Takeaways: The Great Migration Out — Why Millions Left the Mountains
- Chapter 20 Further Reading: The Great Migration Out — Why Millions Left the Mountains
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Chapter 21: Black Lung, Cave-Ins, and Sago — The Human Cost of Coal
- Chapter 21 Exercises: Black Lung, Cave-Ins, and Sago — The Human Cost of Coal
- Chapter 21 Quiz: Black Lung, Cave-Ins, and Sago — The Human Cost of Coal
- Case Study 1: The Black Lung Movement — Miners Fighting for Their Own Lungs
- Case Study 2: Upper Big Branch — A Preventable Disaster
- Chapter 21 Key Takeaways: Black Lung, Cave-Ins, and Sago — The Human Cost of Coal
- Chapter 21 Further Reading: Black Lung, Cave-Ins, and Sago — The Human Cost of Coal
Part V: Reform, Resistance, and the War on Poverty
- Part Five: Reform, Resistance, and the War on Poverty
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Chapter 22: The New Deal in the Mountains — TVA, the CCC, and Federal Transformation
- Chapter 22 Exercises: The New Deal in the Mountains — TVA, the CCC, and Federal Transformation
- Chapter 22 Quiz: The New Deal in the Mountains — TVA, the CCC, and Federal Transformation
- Case Study 1: The Tennessee Valley Authority — Transformation and Displacement
- Case Study 2: Building the Blue Ridge Parkway — Whose Scenery Was It?
- Chapter 22 Key Takeaways: The New Deal in the Mountains — TVA, the CCC, and Federal Transformation
- Chapter 22 Further Reading: The New Deal in the Mountains — TVA, the CCC, and Federal Transformation
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Chapter 23: The War on Poverty — When America "Discovered" Appalachian Poverty Again
- Chapter 23 Exercises: The War on Poverty — When America "Discovered" Appalachian Poverty Again
- Chapter 23 Quiz: The War on Poverty — When America "Discovered" Appalachian Poverty Again
- Case Study 1: LBJ in Martin County — The Photo Op That Launched a Policy
- Case Study 2: The Appalachian Regional Commission — Still Operating, Still Debated
- Chapter 23 Key Takeaways: The War on Poverty — When America "Discovered" Appalachian Poverty Again
- Chapter 23 Further Reading: The War on Poverty — When America "Discovered" Appalachian Poverty Again
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Chapter 24: Mountaintop Removal — When They Blew Up the Mountains
- Chapter 24 Exercises: Mountaintop Removal — When They Blew Up the Mountains
- Chapter 24 Quiz: Mountaintop Removal — When They Blew Up the Mountains
- Case Study 1: Larry Gibson and Kayford Mountain — One Man's Stand
- Case Study 2: The Sludge Impoundment Disaster at Martin County, Kentucky
- Chapter 24 Key Takeaways: Mountaintop Removal — When They Blew Up the Mountains
- Chapter 24 Further Reading: Mountaintop Removal — When They Blew Up the Mountains
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Chapter 25: Education and the Fight for Literacy — From Settlement Schools to Consolidation
- Chapter 25 Exercises: Education and the Fight for Literacy — From Settlement Schools to Consolidation
- Chapter 25 Quiz: Education and the Fight for Literacy — From Settlement Schools to Consolidation
- Case Study 1: Highlander Folk School — Education as Organizing
- Case Study 2: The Consolidation Wars — When They Closed the Local School
- Chapter 25 Key Takeaways: Education and the Fight for Literacy — From Settlement Schools to Consolidation
- Chapter 25 Further Reading: Education and the Fight for Literacy — From Settlement Schools to Consolidation
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Chapter 26: The Appalachian Resistance Tradition — From Blair Mountain to Buffalo Creek to Climate Activism
- Chapter 26 Exercises: The Appalachian Resistance Tradition — From Blair Mountain to Buffalo Creek to Climate Activism
- Chapter 26 Quiz: The Appalachian Resistance Tradition — From Blair Mountain to Buffalo Creek to Climate Activism
- Case Study 1: Buffalo Creek — The Disaster That Created Citizen Activists
- Case Study 2: The Pittston Coal Strike and Camp Solidarity
- Chapter 26 Key Takeaways: The Appalachian Resistance Tradition — From Blair Mountain to Buffalo Creek to Climate Activism
- Chapter 26 Further Reading: The Appalachian Resistance Tradition — From Blair Mountain to Buffalo Creek to Climate Activism
Part VI: Culture and Identity
- Part Six: Culture and Identity
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Chapter 27: Music of the Mountains — From Ballads to Bluegrass to Country to Beyond
- Chapter 27 Exercises: Music of the Mountains — From Ballads to Bluegrass to Country to Beyond
- Chapter 27 Quiz: Music of the Mountains — From Ballads to Bluegrass to Country to Beyond
- Case Study 1: The Bristol Sessions of 1927 — The Big Bang of Country Music
- Case Study 2: The African American Roots of the Banjo and Mountain Music
- Chapter 27 Key Takeaways: Music of the Mountains — From Ballads to Bluegrass to Country to Beyond
- Chapter 27 Further Reading: Music of the Mountains — From Ballads to Bluegrass to Country to Beyond
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Chapter 28: Appalachian Literature — Writing the Mountains from Within
- Chapter 28 Exercises: Appalachian Literature — Writing the Mountains from Within
- Chapter 28 Quiz: Appalachian Literature — Writing the Mountains from Within
- Case Study 1: Harriette Arnow's *The Dollmaker* — Leaving the Mountains
- Case Study 2: Crystal Wilkinson and the Literature of Black Appalachia
- Chapter 28 Key Takeaways: Appalachian Literature — Writing the Mountains from Within
- Chapter 28 Further Reading: Appalachian Literature — Writing the Mountains from Within
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Chapter 29: Faith in the Hollers — Religion in Appalachian Life
- Chapter 29 Exercises: Faith in the Hollers
- Chapter 29 Quiz: Faith in the Hollers
- Case Study 1: Snake Handling — The Most Sensationalized, Least Representative Practice
- Case Study 2: Churches as Community Infrastructure During the Coal Wars
- Chapter 29 Key Takeaways: Faith in the Hollers
- Chapter 29 Further Reading: Faith in the Hollers
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Chapter 30: Foodways, Craft, and Material Culture — What Appalachians Made and How They Lived
- Chapter 30 Exercises: Foodways, Craft, and Material Culture
- Chapter 30 Quiz: Foodways, Craft, and Material Culture
- Case Study 1: The Foxfire Project — Students Preserving Their Own Culture
- Case Study 2: Ramps, Leather Britches, and the Politics of Appalachian Food
- Chapter 30 Key Takeaways: Foodways, Craft, and Material Culture
- Chapter 30 Further Reading: Foodways, Craft, and Material Culture
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Chapter 31: Language, Dialect, and the Politics of How You Sound
- Chapter 31 Exercises: Language, Dialect, and the Politics of How You Sound
- Chapter 31 Quiz: Language, Dialect, and the Politics of How You Sound
- Case Study 1: "A-Prefixing" and the Linguistic Archaeology of Appalachian English
- Case Study 2: Code-Switching — When You Change How You Talk to Be Taken Seriously
- Chapter 31 Key Takeaways: Language, Dialect, and the Politics of How You Sound
- Chapter 31 Further Reading: Language, Dialect, and the Politics of How You Sound
Part VII: Modern Appalachia
- Part Seven: Modern Appalachia
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Chapter 32: The Coal Economy's Collapse — What Happens When the One Industry Dies
- Chapter 32 Exercises: The Coal Economy's Collapse
- Chapter 32 Quiz: The Coal Economy's Collapse
- Case Study 1: McDowell County — From Richest to Poorest in Two Generations
- Case Study 2: The Promise and Limits of "Learn to Code"
- Chapter 32 Key Takeaways: The Coal Economy's Collapse
- Chapter 32 Further Reading: The Coal Economy's Collapse
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Chapter 33: The Opioid Crisis — How Appalachia Became Ground Zero
- Chapter 33 Exercises: The Opioid Crisis
- Chapter 33 Quiz: The Opioid Crisis
- Case Study 1: Purdue Pharma and the Marketing of OxyContin in Coal Country
- Case Study 2: Harm Reduction in Rural Appalachia — What Actually Works
- Chapter 33 Key Takeaways: The Opioid Crisis
- Chapter 33 Further Reading: The Opioid Crisis
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Chapter 34: Appalachia and American Politics — From Yellow Dog Democrats to Trump Country
- Chapter 34 Exercises: Appalachia and American Politics
- Chapter 34 Quiz: Appalachia and American Politics
- Case Study 1: *Hillbilly Elegy* — The Book That Made America Think It Understood Appalachia
- Case Study 2: The 2016 West Virginia Primary — When Coal Country Voted
- Chapter 34 Key Takeaways: Appalachia and American Politics
- Chapter 34 Further Reading: Appalachia and American Politics
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Chapter 35: Stereotypes, Media, and the Battle Over Appalachian Identity
- Chapter 35 Exercises: Stereotypes, Media, and the Battle Over Appalachian Identity
- Chapter 35 Quiz: Stereotypes, Media, and the Battle Over Appalachian Identity
- Case Study 1: From "Li'l Abner" to "Deliverance" to "Justified" — A Media Archaeology
- Case Study 2: Elizabeth Catte and the Fight to Reclaim the Narrative
- Chapter 35 Key Takeaways: Stereotypes, Media, and the Battle Over Appalachian Identity
- Chapter 35 Further Reading: Stereotypes, Media, and the Battle Over Appalachian Identity
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Chapter 36: The New Appalachia — Immigration, Remote Work, Tourism, and Reinvention
- Chapter 36 Exercises: The New Appalachia — Immigration, Remote Work, Tourism, and Reinvention
- Chapter 36 Quiz: The New Appalachia — Immigration, Remote Work, Tourism, and Reinvention
- Case Study 1: Asheville's Transformation — From Sanatorium Town to Tourism Boomtown
- Case Study 2: Latino Communities in the Appalachian Poultry and Meatpacking Industry
- Chapter 36 Key Takeaways: The New Appalachia — Immigration, Remote Work, Tourism, and Reinvention
- Chapter 36 Further Reading: The New Appalachia — Immigration, Remote Work, Tourism, and Reinvention
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Chapter 37: Energy Transition — Appalachia's Past, Present, and Future in the Climate Crisis
- Chapter 37 Exercises: Energy Transition — Appalachia's Past, Present, and Future in the Climate Crisis
- Chapter 37 Quiz: Energy Transition — Appalachia's Past, Present, and Future in the Climate Crisis
- Case Study 1: Reclaiming Mine Land for Solar — Promise and Reality
- Case Study 2: The Mountain Valley Pipeline — Old Extraction in New Form?
- Chapter 37 Key Takeaways: Energy Transition — Appalachia's Past, Present, and Future in the Climate Crisis
- Chapter 37 Further Reading: Energy Transition — Appalachia's Past, Present, and Future in the Climate Crisis
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Chapter 38: Health, Despair, and Resilience — Healthcare from Company Doctors to Rural Hospital Closures
- Chapter 38 Exercises: Health, Despair, and Resilience — Healthcare from Company Doctors to Rural Hospital Closures
- Chapter 38 Quiz: Health, Despair, and Resilience — Healthcare from Company Doctors to Rural Hospital Closures
- Case Study 1: The Frontier Nursing Service — Mary Breckinridge and the Nurse-Midwives
- Case Study 2: Rural Hospital Closures and the Healthcare Desert
- Chapter 38 Key Takeaways: Health, Despair, and Resilience — Healthcare from Company Doctors to Rural Hospital Closures
- Chapter 38 Further Reading: Health, Despair, and Resilience — Healthcare from Company Doctors to Rural Hospital Closures
Part VIII: Synthesis and Reflection
- Part Eight: Synthesis and Reflection
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Chapter 39: The Eastern Band and Indigenous Persistence — Native Appalachia Then and Now
- Chapter 39 Exercises: The Eastern Band and Indigenous Persistence — Native Appalachia Then and Now
- Chapter 39 Quiz: The Eastern Band and Indigenous Persistence — Native Appalachia Then and Now
- Case Study 1: Tsali's Sacrifice and the Founding of the Qualla Boundary
- Case Study 2: Sovereignty, Casinos, and Self-Determination in the 21st Century
- Chapter 39 Key Takeaways: The Eastern Band and Indigenous Persistence — Native Appalachia Then and Now
- Chapter 39 Further Reading: The Eastern Band and Indigenous Persistence — Native Appalachia Then and Now
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Chapter 40: Whose Appalachia? Race, Class, Gender, and the Fight Over a Region's Story
- Chapter 40 Exercises: Whose Appalachia? Race, Class, Gender, and the Fight Over a Region's Story
- Chapter 40 Quiz: Whose Appalachia? Race, Class, Gender, and the Fight Over a Region's Story
- Case Study 1: The Affrilachian Poets — Black Identity in the Mountains
- Case Study 2: LGBTQ+ Appalachians — Visibility and Invisibility in the Hollers
- Chapter 40 Key Takeaways: Whose Appalachia? Race, Class, Gender, and the Fight Over a Region's Story
- Chapter 40 Further Reading: Whose Appalachia? Race, Class, Gender, and the Fight Over a Region's Story
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Chapter 41: What Appalachia Teaches America — Resource Extraction, Inequality, and the Sacrifice Zone
- Chapter 41 Exercises: What Appalachia Teaches America — Resource Extraction, Inequality, and the Sacrifice Zone
- Chapter 41 Quiz: What Appalachia Teaches America — Resource Extraction, Inequality, and the Sacrifice Zone
- Case Study 41.1: From Appalachia to Standing Rock — The Extraction Pattern
- Case Study 41.2: The Rust Belt and Appalachia — Parallel Histories of Deindustrialization
- Chapter 41 Key Takeaways: What Appalachia Teaches America — Resource Extraction, Inequality, and the Sacrifice Zone
- Chapter 41 Further Reading: What Appalachia Teaches America — Resource Extraction, Inequality, and the Sacrifice Zone
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Chapter 42: The View from the Porch — Living in Appalachia Today
- Chapter 42 Exercises: The View from the Porch — Living in Appalachia Today
- Chapter 42 Quiz: The View from the Porch — Living in Appalachia Today
- Case Study 42.1: Five Voices from Five Counties — Appalachia in Their Own Words
- Case Study 42.2: The Return Migration — Why People Are Coming Home
- Chapter 42 Key Takeaways: The View from the Porch — Living in Appalachia Today
- Chapter 42 Further Reading: The View from the Porch — Living in Appalachia Today
Part IX: Capstone
Appendices
- Index
- Appendix A: Primary Sources Anthology
- Appendix B: Historical Timeline
- Appendix C: Argument Maps
- Appendix D: Research Methods for Appalachian History
- Appendix E: Key Studies in Appalachian Scholarship
- Appendix F: Oral History Guide
- Appendix G: County Research Toolkit
- Glossary
- Bibliography
- Answers to Selected Exercises
How Humans Get Stuck
Front Matter
Part I: The Anatomy of Error
- Chapter 1: The Archaeology of Error
- Chapter 2: The Authority Cascade
- Chapter 3: Unfalsifiable by Design
- Chapter 4: The Streetlight Effect
- Chapter 5: Survivorship Bias at Scale
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Chapter 6: The Plausible Story Problem
- Exercises: The Plausible Story Problem
- Quiz: The Plausible Story Problem
- Case Study 1: The Criminal Profile That Caught the Wrong Man
- Case Study 2: Evolutionary Just-So Stories and the Limits of Adaptation Narratives
- Key Takeaways: The Plausible Story Problem
- Further Reading: The Plausible Story Problem
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Chapter 7: The Anchoring of First Explanations
- Exercises: The Anchoring of First Explanations
- Quiz: The Anchoring of First Explanations
- Case Study 1: The Chemical Imbalance Model — How a Metaphor Became a Diagnosis
- Case Study 2: The Rational Actor — Economics' Invisible Prison
- Key Takeaways: The Anchoring of First Explanations
- Further Reading: The Anchoring of First Explanations
- Chapter 8: Imported Error
Part II: The Persistence Engine
- Chapter 9: The Sunk Cost of Consensus
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Chapter 10: The Replication Problem
- Exercises: The Replication Problem
- Quiz: The Replication Problem
- Case Study 1: The Ego Depletion Saga — The Rise and Fall of a Textbook Finding
- Case Study 2: Preclinical Cancer Research — When 89% of "Landmark" Studies Don't Replicate
- Key Takeaways: The Replication Problem
- Further Reading: The Replication Problem
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Chapter 11: How Incentive Structures Manufacture Error
- Exercises: How Incentive Structures Manufacture Error
- Quiz: How Incentive Structures Manufacture Error
- Case Study 1: The Challenger Decision — When Incentives Overrode Engineering
- Case Study 2: "Doubt Is Our Product" — The Tobacco Template for Manufactured Ignorance
- Key Takeaways: How Incentive Structures Manufacture Error
- Further Reading: How Incentive Structures Manufacture Error
- Chapter 12: Precision Without Accuracy
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Chapter 13: The Einstellung Effect
- Exercises: The Einstellung Effect at Institutional Scale
- Quiz: The Einstellung Effect at Institutional Scale
- Case Study 1: Kodak — The Company That Invented Its Own Killer
- Case Study 2: Fighting the Last War — Military Doctrine and the Einstellung Effect
- Key Takeaways: The Einstellung Effect at Institutional Scale
- Further Reading: The Einstellung Effect at Institutional Scale
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Chapter 14: The Consensus Enforcement Machine
- Exercises: The Consensus Enforcement Machine
- Quiz: The Consensus Enforcement Machine
- Case Study 1: Dan Shechtman and the Quasicrystal Wars
- Case Study 2: Self-Censorship in Academia — The Invisible Tax on Truth
- Key Takeaways: The Consensus Enforcement Machine
- Further Reading: The Consensus Enforcement Machine
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Chapter 15: Complexity Hiding in Simplicity
- Exercises: Complexity Hiding in Simplicity
- Quiz: Complexity Hiding in Simplicity
- Case Study 1: Nature vs. Nurture — The False Dichotomy That Shaped a Century
- Case Study 2: The Cholesterol Simplification — When Patient Communication Became Bad Science
- Key Takeaways: Complexity Hiding in Simplicity
- Further Reading: Complexity Hiding in Simplicity
- Chapter 16: The Zombie Idea
Part III: The Correction
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Chapter 17: Planck's Principle and Its Exceptions
- Exercises: Planck's Principle and Its Exceptions
- Quiz: Planck's Principle and Its Exceptions
- Case Study 1: The Ozone Hole — When Correction Happened Fast
- Case Study 2: Plate Tectonics — The Paradigm Shift That Didn't Require Funerals
- Key Takeaways: Planck's Principle and Its Exceptions
- Further Reading: Planck's Principle and Its Exceptions
- Chapter 18: The Outsider Problem
- Chapter 19: Crisis and Correction
- Chapter 20: The Revision Myth
- Chapter 21: When Correction Overcorrects
- Chapter 22: The Speed of Truth
Part IV: Field Autopsies
- Chapter 23: Field Autopsy: Medicine
- Chapter 24: Field Autopsy: Economics
- Chapter 25: Field Autopsy: Psychology
- Chapter 26: Field Autopsy: Nutrition Science
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Chapter 27: Field Autopsy: Criminal Justice
- Exercises: Field Autopsy — Criminal Justice
- Quiz: Field Autopsy — Criminal Justice
- Case Study: The FBI Hair Microscopy Scandal
- Case Study: The Innocence Project — A Natural Experiment in Systemic Failure
- Key Takeaways: Field Autopsy — Criminal Justice
- Further Reading: Field Autopsy — Criminal Justice
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Chapter 28: Field Autopsy: Military Strategy
- Exercises: Field Autopsy — Military Strategy
- Quiz: Field Autopsy — Military Strategy
- Case Study: The Fall of France — Institutional Einstellung at National Scale
- Case Study: McNamara's War — When the Metric Becomes the Mission
- Key Takeaways: Field Autopsy — Military Strategy
- Further Reading: Field Autopsy — Military Strategy
- Chapter 29: Field Autopsy: Technology
- Chapter 30: Field Autopsy: Education
Part V: The Toolkit
- Chapter 31: Red Flags
- Chapter 32: The Epistemic Health Checklist
- Chapter 33: How to Disagree Productively
-
Chapter 34: Adversarial Collaboration and Other Tools for Producing Less Wrong Knowledge
- Exercises: Adversarial Collaboration and Other Tools
- Quiz: Adversarial Collaboration and Other Tools
- Case Study: Registered Reports in Action — Psychology's Most Effective Reform
- Case Study: Red Teams That Failed — When Institutional Design Meets Institutional Culture
- Key Takeaways: Adversarial Collaboration and Other Tools
- Further Reading: Adversarial Collaboration and Other Tools
- Chapter 35: The Humility Chapter
-
Chapter 36: Teaching Epistemic Humility
- Exercises: Teaching Epistemic Humility
- Quiz: Teaching Epistemic Humility
- Case Study: The Blameless Postmortem — How Tech Companies Learned to Learn
- Case Study: Teaching Uncertainty in Medical School — What Changes and What Doesn't
- Key Takeaways: Teaching Epistemic Humility
- Further Reading: Teaching Epistemic Humility
-
Chapter 37: Building Better Knowledge Systems
- Exercises: Building Better Knowledge Systems
- Quiz: Building Better Knowledge Systems
- Case Study: Designing a Self-Correcting Research Institute From Scratch
- Case Study: When Self-Correction Failed — The Erosion of NASA's Safety Culture
- Key Takeaways: Building Better Knowledge Systems
- Further Reading: Building Better Knowledge Systems
How to Handle Confrontation
Front Matter
Part 1: Foundations — What Confrontation Really Is
- Part 1: Foundations — What Confrontation Really Is
- Chapter 1: Why We Avoid Confrontation — and What It Costs Us
-
Chapter 2: The Anatomy of a Confrontation — What's Actually Happening
- Chapter 2 Exercises: The Anatomy of a Confrontation — What's Actually Happening
- Chapter 2 Quiz: The Anatomy of a Confrontation — What's Actually Happening
- Case Study 1: The Five Layers of a Roommate Conflict
- Case Study 2: From Positions to Interests — The Research That Changed Everything
- Chapter 2 Key Takeaways: The Anatomy of a Confrontation — What's Actually Happening
- Chapter 2 Further Reading: The Anatomy of a Confrontation — What's Actually Happening
-
Chapter 3: Conflict Styles — How You Naturally Respond (and Why)
- Chapter 3 Exercises: Conflict Styles — How You Naturally Respond (and Why)
- Chapter 3 Quiz: Conflict Styles — How You Naturally Respond (and Why)
- Case Study 1: The Avoiding Boss and the Avoiding Employee
- Case Study 2: The Making of the TKI — Research, Prevalence, and What Organizations Learned
- Chapter 3 Key Takeaways: Conflict Styles — How You Naturally Respond (and Why)
- Chapter 3 Further Reading: Conflict Styles — How You Naturally Respond (and Why)
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Chapter 4: The Psychology of Threat — What Your Brain Does in Conflict
- Chapter 4 Exercises: The Psychology of Threat — What Your Brain Does in Conflict
- Chapter 4 Quiz: The Psychology of Threat — What Your Brain Does in Conflict
- Case Study 4-1: When Jade's Body Said No
- Case Study 4-2: The SCARF Model — Research, Application, and Critique
- Chapter 4 Key Takeaways: The Psychology of Threat — What Your Brain Does in Conflict
- Chapter 4 Further Reading: The Psychology of Threat — What Your Brain Does in Conflict
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Chapter 5: The Ethics of Confrontation — When to Engage and When Not To
- Chapter 5 Exercises: The Ethics of Confrontation — When to Engage and When Not To
- Chapter 5 Quiz: The Ethics of Confrontation — When to Engage and When Not To
- Case Study 5-1: What Dr. Priya Owes
- Case Study 5-2: The Gap Between Knowing and Doing — Mary C. Gentile and Giving Voice to Values
- Chapter 5 Key Takeaways: The Ethics of Confrontation — When to Engage and When Not To
- Chapter 5 Further Reading: The Ethics of Confrontation — When to Engage and When Not To
Part 2: The Inner Work — Preparing Yourself
- Part 2: The Inner Work — Preparing Yourself
-
Chapter 6: Self-Awareness as a Confrontation Skill
- Chapter 6 Exercises: Self-Awareness as a Confrontation Skill
- Chapter 6 Quiz: Self-Awareness as a Confrontation Skill
- Case Study 1: The Feedback Dr. Priya Didn't Expect
- Case Study 2: What We Get Wrong About Self-Awareness
- Chapter 6 Key Takeaways: Self-Awareness as a Confrontation Skill
- Chapter 6 Further Reading
-
Chapter 7: Managing Your Emotions in the Heat of Conflict
- Chapter 7 Exercises: Managing Your Emotions in the Heat of Conflict
- Chapter 7 Quiz: Managing Your Emotions in the Heat of Conflict
- Case Study 01: Sam's Invisible Flood
- Case Study 02: Name It to Tame It
- Key Takeaways: Chapter 7 — Managing Your Emotions in the Heat of Conflict
- Further Reading: Chapter 7 — Managing Your Emotions in the Heat of Conflict
-
Chapter 8: Cognitive Distortions That Sabotage Difficult Conversations
- Chapter 8 Exercises: Cognitive Distortions That Sabotage Difficult Conversations
- Chapter 8 Quiz: Cognitive Distortions That Sabotage Difficult Conversations
- Case Study 8.1: Marcus's Catastrophe Ladder
- Case Study 8.2: The Science Behind the Spiral
- Chapter 8 Key Takeaways: Cognitive Distortions That Sabotage Difficult Conversations
- Chapter 8 Further Reading
-
Chapter 9: Building Psychological Safety — in Yourself and Others
- Chapter 9 Exercises: Building Psychological Safety
- Chapter 9 Quiz: Building Psychological Safety
- Case Study 1: When Jade Finally Felt Safe
- Case Study 2: The Google Project Aristotle Research
- Chapter 9 Key Takeaways: Building Psychological Safety
- Chapter 9 Further Reading: Building Psychological Safety
- Chapter 10: Assertiveness — The Middle Path Between Passivity and Aggression
Part 3: Communication Fundamentals
- Part 3: Communication Fundamentals
-
Chapter 11: The Language of Confrontation — Words That Escalate vs. Words That Resolve
- Chapter 11 Exercises: The Language of Confrontation
- Chapter 11 Quiz: The Language of Confrontation
- Case Study 11-1: The Language of Marcus's Mistake
- Case Study 11-2: Marshall Rosenberg and the Architecture of Nonviolent Communication
- Key Takeaways: Chapter 11 — The Language of Confrontation
- Further Reading: Chapter 11 — The Language of Confrontation
-
Chapter 12: Active Listening in High-Stakes Conversations
- Chapter 12 Exercises: Active Listening in High-Stakes Conversations
- Chapter 12 Quiz: Active Listening in High-Stakes Conversations
- Case Study 1: Dr. Priya Learns to Hear James
- Case Study 2: The Science of Being Heard — Rogers, Nichols, and What Research Tells Us About Listening
- Chapter 12 Key Takeaways: Active Listening in High-Stakes Conversations
- Chapter 12 Further Reading: Active Listening in High-Stakes Conversations
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Chapter 13: Nonverbal Communication and Body Language in Conflict
- Chapter 13 Exercises: Nonverbal Communication and Body Language in Conflict
- Chapter 13 Quiz: Nonverbal Communication and Body Language in Conflict
- Case Study 13-1: What Dr. Priya's Body Kept Saying
- Case Study 13-2: What Paul Ekman Found — and What Was Built on Top of It
- Chapter 13 Key Takeaways: Nonverbal Communication and Body Language in Conflict
- Chapter 13 Further Reading: Nonverbal Communication and Body Language in Conflict
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Chapter 14: Asking Better Questions — Curiosity as a Confrontation Tool
- Chapter 14 Exercises: Asking Better Questions
- Chapter 14 Quiz: Asking Better Questions
- Case Study 1: Sam's One Good Question
- Case Study 2: The Quality of Your Questions Determines the Quality of What You Learn
- Chapter 14 Key Takeaways: Asking Better Questions — Curiosity as a Confrontation Tool
- Chapter 14 Further Reading: Asking Better Questions
- Chapter 15: Reframing — Changing How You See the Conflict
Part 4: Preparing for the Conversation
- Part 4: Preparing for the Conversation
- Chapter 16: Before You Begin — Diagnosing the Real Problem
- Chapter 17: Choosing the Right Time, Place, and Medium
-
Chapter 18: Structuring Your Opening — How to Start Difficult Conversations
- Chapter 18 Exercises: Structuring Your Opening — How to Start Difficult Conversations
- Chapter 18 Quiz: Structuring Your Opening — How to Start Difficult Conversations
- Case Study 1: Four Openings, One Situation
- Case Study 2: The Science of First Impressions in Conversation
- Chapter 18 Key Takeaways
- Chapter 18 Further Reading
-
Chapter 19: Anticipating Resistance and Defensiveness
- Chapter 19 Exercises: Anticipating Resistance and Defensiveness
- Chapter 19 Quiz: Anticipating Resistance and Defensiveness
- Case Study 01: Sam's Resistance Map
- Case Study 02: The Science of Anticipation
- Chapter 19 Key Takeaways: Anticipating Resistance and Defensiveness
- Chapter 19 Further Reading: Anticipating Resistance and Defensiveness
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Chapter 20: Setting Intentions vs. Outcomes — What You Can and Can't Control
- Chapter 20 Exercises: Setting Intentions vs. Outcomes — What You Can and Can't Control
- Chapter 20 Quiz: Setting Intentions vs. Outcomes — What You Can and Can't Control
- Case Study 01: Marcus's Incomplete Victory
- Case Study 02: Locus of Control and Conflict Effectiveness
- Chapter 20 Key Takeaways: Setting Intentions vs. Outcomes — What You Can and Can't Control
- Chapter 20 Further Reading: Setting Intentions vs. Outcomes — What You Can and Can't Control
Part 5: In-the-Moment Techniques
- Part 5: In-the-Moment Techniques
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Chapter 21: De-escalation Techniques That Work Under Pressure
- Chapter 21 Exercises: De-escalation Techniques That Work Under Pressure
- Chapter 21 Quiz: De-escalation Techniques That Work Under Pressure
- Case Study 21-1: "The Meeting That Got Away"
- Case Study 21-2: The Science of Being Heard
- Chapter 21 Key Takeaways: De-escalation Techniques That Work Under Pressure
- Chapter 21 Further Reading: De-escalation Techniques That Work Under Pressure
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Chapter 22: Navigating Emotional Flooding — Yours and Theirs
- Chapter 22 Exercises: Navigating Emotional Flooding — Yours and Theirs
- Chapter 22 Quiz: Navigating Emotional Flooding — Yours and Theirs
- Case Study 22-1: "Marcus's Shutdown"
- Case Study 22-2: When the Body Calls the Shots
- Chapter 22 Key Takeaways: Navigating Emotional Flooding — Yours and Theirs
- Chapter 22 Further Reading: Navigating Emotional Flooding — Yours and Theirs
-
Chapter 23: Handling Attacks, Deflections, and Diversions
- Chapter 23 Exercises: Handling Attacks, Deflections, and Diversions
- Chapter 23 Quiz: Handling Attacks, Deflections, and Diversions
- Case Study 23-01: Priya and the Counterattack
- Case Study 23-02: DARVO — Research, Recognition, and Application
- Chapter 23 Key Takeaways: Handling Attacks, Deflections, and Diversions
- Chapter 23 Further Reading: Handling Attacks, Deflections, and Diversions
-
Chapter 24: When Conversations Go Off the Rails — Recovery Strategies
- Chapter 24 Exercises: When Conversations Go Off the Rails — Recovery Strategies
- Chapter 24 Quiz: When Conversations Go Off the Rails — Recovery Strategies
- Case Study 24-01: Sam's Exit and Return
- Case Study 24-02: Repair Attempts — Gottman's Research and the 5:1 Ratio
- Chapter 24 Key Takeaways: When Conversations Go Off the Rails — Recovery Strategies
- Chapter 24 Further Reading: When Conversations Go Off the Rails — Recovery Strategies
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Chapter 25: Negotiation Principles for Everyday Conflict
- Chapter 25 Exercises: Negotiation Principles for Everyday Conflict
- Chapter 25 Quiz: Negotiation Principles for Everyday Conflict
- Case Study 25-1: Dr. Priya and the Budget
- Case Study 25-2: The Harvard Negotiation Project and the Science of Getting to Yes
- Key Takeaways: Chapter 25 — Negotiation Principles for Everyday Conflict
- Further Reading: Chapter 25 — Negotiation Principles for Everyday Conflict
-
Chapter 26: Reaching Agreement — From Confrontation to Collaboration
- Chapter 26 Exercises: Reaching Agreement — From Confrontation to Collaboration
- Chapter 26 Quiz: Reaching Agreement — From Confrontation to Collaboration
- Case Study 26-1: Sam and Tyler's Real Agreement
- Case Study 26-2: Implementation Intentions — The Psychology of Follow-Through
- Key Takeaways: Chapter 26 — Reaching Agreement: From Confrontation to Collaboration
- Further Reading: Chapter 26 — Reaching Agreement: From Confrontation to Collaboration
Part 6: Context-Specific Confrontations
- Part 6: Context-Specific Confrontations
-
Chapter 27: Confronting a Friend or Romantic Partner
- Chapter 27 Exercises: Confronting a Friend or Romantic Partner
- Chapter 27 Quiz: Confronting a Friend or Romantic Partner
- Case Study 27-1: Marcus and the Ava Conversation (Part 1)
- Case Study 27-2: Gottman's Perpetual Problems — When Conflict Doesn't Resolve
- Chapter 27 Key Takeaways: Confronting a Friend or Romantic Partner
- Chapter 27 Further Reading: Confronting a Friend or Romantic Partner
-
Chapter 28: Workplace Conflicts — Peers, Subordinates, and Bosses
- Chapter 28 Exercises: Workplace Conflicts — Peers, Subordinates, and Bosses
- Chapter 28 Quiz: Workplace Conflicts — Peers, Subordinates, and Bosses
- Case Study 28-1: Sam, Elena, and Marcus — Three Confrontations, One Turning Point
- Case Study 28-2: Psychological Safety and the Silence Tax — What Organizations Pay When People Don't Speak Up
- Key Takeaways: Chapter 28 — Workplace Conflicts: Peers, Subordinates, and Bosses
- Further Reading: Chapter 28 — Workplace Conflicts: Peers, Subordinates, and Bosses
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Chapter 29: Confronting Family Members
- Chapter 29 Exercises: Confronting Family Members
- Chapter 29 Quiz: Confronting Family Members
- Case Study 29-1: Jade and Rosa — The Renegotiation
- Case Study 29-2: Murray Bowen and the Family as Emotional System
- Chapter 29 Key Takeaways: Confronting Family Members
- Chapter 29 Further Reading: Confronting Family Members
-
Chapter 30: Confrontations with Strangers and Casual Acquaintances
- Chapter 30 Exercises: Confrontations with Strangers and Casual Acquaintances
- Chapter 30 Quiz: Confrontations with Strangers and Casual Acquaintances
- Case Study 30-1: Jade Speaks Up on the Bus
- Case Study 30-2: Darley, Latané, and the Science of Why People Don't Help
- Chapter 30 Key Takeaways: Confrontations with Strangers and Casual Acquaintances
- Chapter 30 Further Reading: Confrontations with Strangers and Casual Acquaintances
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Chapter 31: Digital and Remote Confrontations — Text, Email, and Video
- Chapter 31 Exercises: Digital and Remote Confrontations
- Chapter 31 Quiz: Digital and Remote Confrontations
- Case Study 31-01: Marcus's Email Mistake
- Case Study 31-02: The Research Behind Online Disinhibition
- Chapter 31 Key Takeaways: Digital and Remote Confrontations
- Chapter 31 Further Reading: Digital and Remote Confrontations
-
Chapter 32: Cross-Cultural Confrontation — When Styles Collide
- Chapter 32 Exercises: Cross-Cultural Confrontation
- Chapter 32 Quiz: Cross-Cultural Confrontation
- Case Study 32-01: Dr. Priya Between Two Worlds
- Case Study 32-02: Hofstede, Meyer, and the Research on Cross-Cultural Conflict
- Chapter 32 Key Takeaways: Cross-Cultural Confrontation
- Chapter 32 Further Reading: Cross-Cultural Confrontation
-
Chapter 33: Power Imbalances — Confronting Up (and Down)
- Chapter 33 Exercises: Power Imbalances — Confronting Up (and Down)
- Chapter 33 Quiz: Power Imbalances — Confronting Up (and Down)
- Case Study 33-1: Priya and Harmon — The Confrontation
- Case Study 33-2: Who Gets to Speak? Research on Voice, Power, and Upward Communication
- Chapter 33 Key Takeaways
- Chapter 33 Further Reading
-
Chapter 34: Confronting Groups, Committees, and Crowds
- Chapter 34 Exercises: Confronting Groups, Committees, and Crowds
- Chapter 34 Quiz: Confronting Groups, Committees, and Crowds
- Case Study 34-1: The Committee's Bad Decision
- Case Study 34-2: Groupthink, the Bay of Pigs, and the Science of Independent Thinking
- Chapter 34 Key Takeaways
- Chapter 34 Further Reading
-
Chapter 35: High-Stakes Confrontations — Legal, Medical, Financial Disputes
- Chapter 35 Exercises: High-Stakes Confrontations — Legal, Medical, Financial Disputes
- Chapter 35 Quiz: High-Stakes Confrontations — Legal, Medical, Financial Disputes
- Case Study 35-1: Jade and the Financial Aid Office
- Case Study 35-2: The Power of the Informed Patient — Research on Medical Advocacy and Institutional Confrontation
- Chapter 35 Key Takeaways
- Chapter 35 Further Reading
Part 7: Special Topics and Advanced Applications
- Part 7: Special Topics and Advanced Applications
- Chapter 36: Chronic Conflict — When the Same Fight Keeps Happening
- Chapter 37: Confrontation and Trauma — When the Past Shapes the Present
-
Chapter 38: Restorative Conversations — Repair After Conflict
- Chapter 38 Exercises: Restorative Conversations
- Chapter 38 Quiz: Restorative Conversations
- Case Study 38.1: Marcus Writes the Letter
- Case Study 38.2: The Research on Apology and Forgiveness — Lazare, Worthington, and Luskin
- Chapter 38 Key Takeaways: Restorative Conversations
- Chapter 38 Further Reading: Restorative Conversations
-
Chapter 39: Becoming a Confrontation Coach — Helping Others Navigate Conflict
- Chapter 39 Exercises: Becoming a Confrontation Coach
- Chapter 39 Quiz: Becoming a Confrontation Coach
- Case Study 39-01: Jade as Coach
- Case Study 39-02: The Science of Conflict Coaching — A Field and Its Evidence
- Chapter 39 Key Takeaways: Becoming a Confrontation Coach
- Chapter 39 Further Reading: Becoming a Confrontation Coach
-
Chapter 40: Lifelong Practice — Building Your Confrontation Competency
- Chapter 40 Exercises: Lifelong Practice — Building Your Confrontation Competency
- Chapter 40 Quiz: Lifelong Practice — Building Your Confrontation Competency
- Case Study 40-01: Four Endings — What Practice Looks Like When It Has Become Who You Are
- Case Study 40-02: The Science of Practice — What Research Says About How Skills Become Durable
- Chapter 40 Key Takeaways: Lifelong Practice — Building Your Confrontation Competency
- Chapter 40 Further Reading: Lifelong Practice — Building Your Confrontation Competency
Capstone Projects
How Your House Works
Front Matter
Part 1: The Anatomy of a House
- Part 1: The Anatomy of a House
- Chapter 1: How a House Is Built — Structure, Systems, and What Holds It All Together
- Chapter 2: Foundations — Slab, Crawlspace, and Basement: What's Underneath You
- Chapter 3: Framing — Wood, Steel, and How Walls and Floors Carry Load
-
Chapter 4: Insulation and the Building Envelope: Keeping Heat Where You Want It
- Chapter 4 Exercises: Insulation and the Building Envelope
- Chapter 4 Quiz: Insulation and the Building Envelope
- Case Study 4-1: Dave Kowalski's Farmhouse — Finding the Leaks Before Spending the Money
- Case Study 4-2: Isabel Rodriguez — When the Architect Meets the Building Scientist
- Chapter 4 Key Takeaways: Insulation and the Building Envelope
- Chapter 4 Further Reading: Insulation and the Building Envelope
-
Chapter 5: Windows and Doors: Sealing Against Weather, Noise, and Energy Loss
- Chapter 5 Exercises: Windows and Doors
- Chapter 5 Quiz: Windows and Doors
- Case Study 5-1: The Rodriguez Townhouse — Resisting the Sales Pitch
- Case Study 5-2: The Chen-Williams Renovation — Specifying Windows for a Gut Renovation
- Chapter 5 Key Takeaways: Windows and Doors
- Chapter 5 Further Reading: Windows and Doors
Part 2: Plumbing — Water In, Water Out
- Part 2: Plumbing — Water In, Water Out
- Chapter 6: Your Home's Water Supply: From Main Line to Faucet
- Chapter 7: Hot Water Systems: Tanks, Tankless, and Heat Pump Water Heaters
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Chapter 8: The Drain-Waste-Vent System: Where It All Goes
- Chapter 8 Exercises: The Drain-Waste-Vent System
- Chapter 8 Quiz: The Drain-Waste-Vent System
- Case Study 8-1: The Chen-Williams DWV Renovation Surprises
- Case Study 8-2: Dave Kowalski and the Main Line Backup
- Chapter 8 Key Takeaways: The Drain-Waste-Vent System
- Chapter 8 Further Reading: The Drain-Waste-Vent System
-
Chapter 9: Toilets, Sinks, and Fixtures — What's Actually Inside and How to Fix It
- Chapter 9 Exercises: Toilets, Sinks, and Fixtures
- Chapter 9 Quiz: Toilets, Sinks, and Fixtures
- Case Study 9.1: Miguel Rodriguez and the $7 Fix
- Case Study 9.2: Priya and Marcus Navigate the Fixture Showroom
- Chapter 9 Key Takeaways: Toilets, Sinks, and Fixtures
- Chapter 9 Further Reading: Toilets, Sinks, and Fixtures
-
Chapter 10: Common Plumbing Problems — Leaks, Clogs, Pressure, and Frozen Pipes
- Chapter 10 Exercises: Common Plumbing Problems — Leaks, Clogs, Pressure, and Frozen Pipes
- Chapter 10 Quiz: Common Plumbing Problems
- Case Study 10.1: Isabel's Hidden Leak — Finding What You Can't See
- Case Study 10.2: Dave Kowalski and the Frozen Pipe at 4 a.m.
- Chapter 10 Key Takeaways: Common Plumbing Problems
- Chapter 10 Further Reading: Common Plumbing Problems
-
Chapter 11: Sewer Lines and Septic Systems — The Underground Truth
- Chapter 11 Exercises: Sewer Lines and Septic Systems
- Chapter 11 Quiz: Sewer Lines and Septic Systems
- Case Study 11.1: The Lateral They Didn't Know They Owned
- Case Study 11.2: Dave Kowalski Gets to Know His Septic System
- Chapter 11 Key Takeaways: Sewer Lines and Septic Systems
- Chapter 11 Further Reading: Sewer Lines and Septic Systems
Part 3: Electrical Systems
- Part 3: Electrical Systems
- Chapter 12: How Electricity Works in Your Home: Basics Every Homeowner Needs
- Chapter 13: The Electrical Panel: Breakers, Fuses, Circuits, and Load
- Chapter 14: Wiring, Outlets, and Switches: What's Behind the Wall
- Chapter 15: Lighting: Efficiency, Controls, and Common Problems
-
Chapter 16: Electrical Safety and Common Problems: GFCI, AFCI, and When to Call
- Chapter 16 Exercises: Electrical Safety and Common Problems
- Chapter 16 Quiz: Electrical Safety and Common Problems
- Case Study 16-1: The Rodriguez Panel Replacement
- Case Study 16-2: The Tripping Breaker
- Chapter 16 Key Takeaways: Electrical Safety and Common Problems
- Chapter 16 Further Reading: Electrical Safety and Common Problems
-
Chapter 17: Solar, EV Chargers, and Whole-Home Generators: Modern Electrical Additions
- Chapter 17 Exercises: Solar, EV Chargers, and Whole-Home Generators
- Chapter 17 Quiz: Solar, EV Chargers, and Whole-Home Generators
- Case Study 17-1: The Chen-Williams Solar Installation
- Case Study 17-2: Dave Kowalski's Generator Setup
- Chapter 17 Key Takeaways: Solar, EV Chargers, and Whole-Home Generators
- Chapter 17 Further Reading: Solar, EV Chargers, and Whole-Home Generators
Part 4: HVAC — Heating, Ventilation, Air Conditioning
- Part 4: HVAC — Heating, Ventilation, Air Conditioning
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Chapter 18: How Heating Systems Work: Furnaces, Boilers, and Heat Pumps
- Chapter 18 Exercises: How Heating Systems Work
- Chapter 18 Quiz: How Heating Systems Work
- Case Study 18-1: The Rodriguez Heat Exchanger Crisis
- Case Study 18-2: Dave Kowalski Converts from Propane to a Cold-Climate Heat Pump
- Chapter 18 Key Takeaways: How Heating Systems Work
- Chapter 18 Further Reading: How Heating Systems Work
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Chapter 19: Air Conditioning and Cooling Systems: How They Work and What Fails
- Chapter 19 Exercises: Air Conditioning and Cooling Systems
- Chapter 19 Quiz: Air Conditioning and Cooling Systems
- Case Study 19-1: The Rodriguez AC Replacement Decision
- Case Study 19-2: The Chen-Williams Renovation — Choosing Between Central AC and Mini-Splits
- Chapter 19 Key Takeaways: Air Conditioning and Cooling Systems
- Chapter 19 Further Reading: Air Conditioning and Cooling Systems
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Chapter 20: Ductwork, Airflow, and Ventilation: Moving Air Through Your Home
- Chapter 20 Exercises: Ductwork, Airflow, and Ventilation
- Chapter 20 Quiz: Ductwork, Airflow, and Ventilation
- Case Study 20-1: Dave Kowalski's Duct Sealing Project
- Case Study 20-2: The Chen-Williams Ductwork Design and HRV Installation
- Chapter 20 Key Takeaways: Ductwork, Airflow, and Ventilation
- Chapter 20 Further Reading: Ductwork, Airflow, and Ventilation
- Chapter 21: Thermostats, Zoning, and Smart Controls
- Chapter 22: Air Quality, Filters, and Humidity: What Your HVAC Is (and Isn't) Doing
- Chapter 23: HVAC Efficiency Ratings, Energy Bills, and When to Replace
Part 5: The Roof and Building Exterior
- Part 5: The Roof and Building Exterior
- Chapter 24: Roofing Systems: Shingles, Metal, Tile, and Flat Roofs
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Chapter 25: Gutters, Downspouts, and Drainage: Moving Water Away from Your Foundation
- Chapter 25 Exercises: Gutters, Downspouts, and Drainage
- Chapter 25 Quiz: Gutters, Downspouts, and Drainage
- Case Study 25-1: Isabel and Miguel Rodriguez — When Gutters Aren't the Real Problem
- Case Study 25-2: Dave Kowalski — When the Whole Hillside Drains Toward Your House
- Chapter 25 Key Takeaways: Gutters, Downspouts, and Drainage
- Chapter 25 Further Reading: Gutters, Downspouts, and Drainage
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Chapter 26: Siding and Exterior Cladding: What Protects Your Walls
- Chapter 26 Exercises: Siding and Exterior Cladding
- Chapter 26 Quiz: Siding and Exterior Cladding
- Case Study 26-1: Priya and Marcus Chen-Williams — The Full Exterior Cladding Decision
- Case Study 26-2: Dave Kowalski — Wood Siding: Salvage or Replace?
- Chapter 26 Key Takeaways: Siding and Exterior Cladding
- Chapter 26 Further Reading: Siding and Exterior Cladding
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Chapter 27: Foundation Exterior — Waterproofing, Grading, and Keeping Water Out
- Chapter 27 Exercises: Foundation Waterproofing
- Chapter 27 Quiz: Foundation Waterproofing
- Case Study 27-1: The $14,000 Misdiagnosis
- Case Study 27-2: The Crawlspace That Was Slowly Destroying the House
- Chapter 27 Key Takeaways: Foundation Waterproofing
- Chapter 27 Further Reading: Foundation Waterproofing
Part 6: Interior Systems and Finishes
- Part 6: Interior Systems and Finishes
-
Chapter 28: Drywall, Plaster, and Interior Walls — What They Are and How to Fix Them
- Chapter 28 Exercises: Drywall, Plaster, and Interior Walls
- Chapter 28 Quiz: Drywall, Plaster, and Interior Walls
- Case Study 28-1: The Doorknob Hole That Taught a Lesson
- Case Study 28-2: The Chen-Williams Soundproofing Project
- Chapter 28 Key Takeaways: Drywall, Plaster, and Interior Walls
- Chapter 28 Further Reading: Drywall, Plaster, and Interior Walls
- Chapter 29: Flooring Systems — Wood, Tile, Vinyl, Carpet — What's Under Your Feet
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Chapter 30: The Kitchen — Appliances, Ventilation, and Plumbing
- Chapter 30 Exercises: The Kitchen — Appliances, Ventilation, and Plumbing
- Chapter 30 Quiz: The Kitchen — Appliances, Ventilation, and Plumbing
- Case Study 30-1: The Rodriguez Kitchen — Three Problems, Three Diagnoses
- Case Study 30-2: The Chen-Williams Kitchen Renovation — Planning the Unknowns
- Chapter 30 Key Takeaways: The Kitchen
- Chapter 30 Further Reading: The Kitchen
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Chapter 31: Bathrooms — Waterproofing, Tile, Ventilation, and What Goes Wrong
- Chapter 31 Exercises: Bathrooms — Waterproofing, Tile, Ventilation, and What Goes Wrong
- Chapter 31 Quiz: Bathrooms — Waterproofing, Tile, Ventilation, and What Goes Wrong
- Case Study 31-1: Isabel Rodriguez and the Shower Grout Problem
- Case Study 31-2: Dave Kowalski's Bathroom Ventilation Fix
- Chapter 31 Key Takeaways: Bathrooms
- Chapter 31 Further Reading: Bathrooms
-
Chapter 32: Basements and Crawlspaces — Moisture, Finishing, and Problem-Solving
- Chapter 32 Exercises: Basements and Crawlspaces — Moisture, Finishing, and Problem-Solving
- Chapter 32 Quiz: Basements and Crawlspaces — Moisture, Finishing, and Problem-Solving
- Case Study 32-1: The Rodriguez Basement — A Simple Problem, An Easy Fix
- Case Study 32-2: The Chen-Williams Basement Finish — Doing the Hard Things First
- Chapter 32 Key Takeaways: Basements and Crawlspaces
- Chapter 32 Further Reading: Basements and Crawlspaces
Part 7: Safety, Codes, and the Unexpected
- Part 7: Safety, Codes, and the Unexpected
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Chapter 33: Building Codes, Permits, and Inspections: Why They Exist and How They Protect You
- Chapter 33 Exercises: Building Codes, Permits, and Inspections
- Chapter 33 Quiz: Building Codes, Permits, and Inspections
- Case Study 33-1: The Rodriguez Kitchen Permit — A First-Timer's Walk-Through
- Case Study 33-2: The Chen-Williams Discovery — Unpermitted Work and What It Cost
- Chapter 33 Key Takeaways: Building Codes, Permits, and Inspections
- Chapter 33 Further Reading: Building Codes, Permits, and Inspections
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Chapter 34: Hazardous Materials: Lead, Asbestos, Radon, and Mold
- Chapter 34 Exercises: Hazardous Materials — Lead, Asbestos, Radon, and Mold
- Chapter 34 Quiz: Hazardous Materials — Lead, Asbestos, Radon, and Mold
- Case Study 34-1: The Chen-Williams Asbestos Tiles — Discovery, Decision, and Abatement
- Case Study 34-2: Dave Kowalski and Radon — The Test That Changed Everything
- Chapter 34 Key Takeaways: Hazardous Materials — Lead, Asbestos, Radon, and Mold
- Chapter 34 Further Reading: Hazardous Materials — Lead, Asbestos, Radon, and Mold
-
Chapter 35: Fire Safety: Detection, Suppression, and Egress
- Chapter 35 Exercises: Fire Safety — Detection, Suppression, and Egress
- Chapter 35 Quiz: Fire Safety — Detection, Suppression, and Egress
- Case Study 35-1: Dave Kowalski's Rural Fire Safety Overhaul
- Case Study 35-2: The Rodriguez Townhouse — Garage Door, Party Wall, and the Inspection That Changed Their Plans
- Chapter 35 Key Takeaways: Fire Safety — Detection, Suppression, and Egress
- Chapter 35 Further Reading: Fire Safety — Detection, Suppression, and Egress
-
Chapter 36: Disasters and Emergency Prep — Flooding, Earthquakes, Storms, and Power Outages
- Chapter 36 Exercises: Disasters and Emergency Prep
- Chapter 36 Quiz: Disasters and Emergency Prep
- Case Study 36-1: Eight Years and Never Checked — The Rodriguez Flood Zone Discovery
- Case Study 36-2: The Grid Goes Dark — Dave Kowalski's Five-Day Ice Storm
- Chapter 36 Key Takeaways: Disasters and Emergency Prep
- Chapter 36 Further Reading: Disasters and Emergency Prep
Part 8: Working with Contractors and Managing Your Home
- Part 8: Working with Contractors and Managing Your Home
-
Chapter 37: Finding and Vetting Contractors — Hiring Well Is the Foundation of Every Successful Project
- Chapter 37 Exercises: Finding and Vetting Contractors
- Chapter 37 Quiz: Finding and Vetting Contractors
- Case Study 37-1: First Contractor, Full Process — Isabel Rodriguez Vets Three Bids
- Case Study 37-2: The Full Renovation Orchestra — Priya and Marcus Coordinate Four Trades
- Chapter 37 Key Takeaways: Finding and Vetting Contractors
- Chapter 37 Further Reading: Finding and Vetting Contractors
-
Chapter 38: Quotes, Contracts, and Permits — Protecting Yourself Legally and Financially
- Chapter 38 Exercises: Quotes, Contracts, and Permits
- Chapter 38 Quiz: Quotes, Contracts, and Permits
- Case Study 38-1: Reading the Fine Print — Miguel Rodriguez Negotiates the Flood Mitigation Contract
- Case Study 38-2: $11,400 vs. $8,900 — Priya Negotiates a Disputed Change Order
- Chapter 38 Key Takeaways: Quotes, Contracts, and Permits
- Chapter 38 Further Reading: Quotes, Contracts, and Permits
- Chapter 39: Home Inspections — What They Cover, What They Miss, and How to Read One
-
Chapter 40: Preventive Maintenance — Your Year-Round Home Care Schedule
- Chapter 40 Exercises: Preventive Maintenance
- Chapter 40 Quiz: Preventive Maintenance
- Case Study 40-1: The Rodriguez Family Maintenance Reckoning — And the Schedule They Built
- Case Study 40-2: Priya and Marcus Build a Post-Renovation Maintenance Plan from Zero
- Chapter 40 Key Takeaways: Preventive Maintenance
- Chapter 40 Further Reading: Preventive Maintenance
Part 9: Capstone Projects
Ibm Db2
Front Matter
Part I: Foundations — Understanding DB2
- Part I: Foundations — Understanding DB2
-
Chapter 1: What Is IBM DB2? History, Architecture, and Why It Still Runs the World's Most Critical Systems
- Chapter 1 Exercises: What Is IBM DB2?
- Chapter 1 Quiz: What Is IBM DB2?
- Case Study 1: Global Bank Migration — Continental United Bancorp Evaluates Its Database Future
- Case Study 2: Government Tax Processing — The Federal Tax Authority of Valdoria
- Chapter 1: Key Takeaways
- Chapter 1: Further Reading and Resources
- Chapter 2: The Relational Model — How DB2 Thinks About Data
- Chapter 3: DB2 Architecture — What's Running When DB2 Is Running
-
Chapter 4: Setting Up Your DB2 Environment -- Installation, Configuration, and Your First Database
- Exercises -- Chapter 4: Setting Up Your DB2 Environment
- Quiz -- Chapter 4: Setting Up Your DB2 Environment
- Case Study 1: Enterprise DB2 Installation -- Planning a Production Deployment
- Case Study 2: Docker Development Environment for a Development Team
- Key Takeaways -- Chapter 4: Setting Up Your DB2 Environment
- Further Reading -- Chapter 4: Setting Up Your DB2 Environment
Part II: SQL Mastery
- Part II: SQL Mastery
- Chapter 5: SQL Fundamentals — SELECT, WHERE, ORDER BY, and the Art of Asking Questions
- Chapter 6: Joining Tables — INNER, OUTER, CROSS, and LATERAL
- Chapter 7: Aggregation and Grouping — COUNT, SUM, AVG, GROUP BY, HAVING, and Analytical Patterns
-
Chapter 8: Subqueries and Common Table Expressions — Queries Within Queries
- Chapter 8 Exercises: Subqueries and Common Table Expressions
- Chapter 8 Quiz: Subqueries and Common Table Expressions
- Case Study 1: Complex Business Logic — Loan Eligibility Determination
- Case Study 2: Hierarchical Data — Organizational Chart Processing
- Chapter 8: Key Takeaways
- Chapter 8: Further Reading
- Chapter 9: Data Modification: INSERT, UPDATE, DELETE, MERGE, and Transaction Control
-
Chapter 10: Advanced SQL — Window Functions, OLAP Functions, Recursive Queries, and Temporal Queries
- Chapter 10 Exercises: Advanced SQL — Window Functions, OLAP Functions, Recursive Queries, and Temporal Queries
- Chapter 10 Quiz: Advanced SQL — Window Functions, OLAP Functions, Recursive Queries, and Temporal Queries
- Case Study 1: Analytical Reporting Suite for Executive Dashboard
- Case Study 2: Temporal Data Management — Regulatory Compliance Audit Trail
- Chapter 10 Key Takeaways
- Chapter 10 Further Reading
-
Chapter 11: Data Definition Language — CREATE, ALTER, DROP: Building and Evolving Database Structures
- Chapter 11 Exercises: Data Definition Language
- Chapter 11 Quiz: Data Definition Language
- Case Study 1: Schema Design for a New Microservices Application — Meridian Bank's Digital Wallet Platform
- Case Study 2: DDL Standards and Governance at a Fortune 500 — Harrington Financial Group
- Chapter 11: Key Takeaways
- Chapter 11: Further Reading
-
Chapter 12: Views, Triggers, and Stored Procedures — Encapsulating Logic in the Database
- Chapter 12 Exercises: Views, Triggers, and Stored Procedures
- Chapter 12 Quiz: Views, Triggers, and Stored Procedures
- Case Study 1: Business Logic Layer Design -- Views and Procedures at Scale
- Case Study 2: Audit Trail Implementation for Regulatory Compliance
- Chapter 12: Key Takeaways
- Further Reading -- Chapter 12: Views, Triggers, and Stored Procedures
Part III: Database Design
- Part III: Database Design
- Chapter 13: Logical Database Design — From Business Requirements to Entity-Relationship Models
- Chapter 14: Physical Database Design — Tablespaces, Partitioning, Compression, and Storage Optimization
- Chapter 15: Index Design — B+ Trees, Index-Only Access, Clustering, and the Art of Knowing What to Index
-
Chapter 16: Schema Evolution and Data Migration — ALTER TABLE, Online Schema Changes, and Zero-Downtime Migrations
- Chapter 16 Exercises: Schema Evolution and Data Migration
- Chapter 16 Quiz: Schema Evolution and Data Migration
- Case Study 1: Zero-Downtime Schema Migration at a Payment Processor
- Case Study 2: Oracle to DB2 Migration — A 6-Month Journey
- Chapter 16: Key Takeaways
- Chapter 16: Further Reading and Resources
Part IV: Administration Fundamentals
- Part IV: Administration Fundamentals
-
Chapter 17: DB2 Utilities — REORG, RUNSTATS, COPY, RECOVER, LOAD, UNLOAD: The DBA's Essential Toolkit
- Chapter 17 Exercises: DB2 Utilities — REORG, RUNSTATS, COPY, RECOVER, LOAD, UNLOAD
- Chapter 17 Quiz: DB2 Utilities — REORG, RUNSTATS, COPY, RECOVER, LOAD, UNLOAD
- Case Study 1: Utility Scheduling Strategy for a 24x7 System
- Case Study 2: Emergency REORG — When Fragmentation Hits 90%
- Chapter 17: Key Takeaways
- Chapter 17: Further Reading
-
Chapter 18: Backup, Recovery, and Logging — Protecting Data Against Every Failure Mode
- Chapter 18 Exercises: Backup, Recovery, and Logging
- Chapter 18 Quiz: Backup, Recovery, and Logging
- Case Study 1: Disaster Recovery Drill — Simulating a Data Center Failure
- Case Study 2: Point-in-Time Recovery — Undoing a Bad DELETE
- Chapter 18 Key Takeaways: Backup, Recovery, and Logging
- Chapter 18 Further Reading: Backup, Recovery, and Logging
- Chapter 19: Security and Authorization — Authentication, Privileges, Roles, Row-Level Security, and Audit
- Chapter 20: Monitoring and Problem Determination — Knowing What's Wrong Before the Phone Rings
- Chapter 21: Catalog and Directory — Understanding DB2's Data About Your Data
Part V: Performance
- Part V: Performance
- Chapter 22: How the DB2 Optimizer Works — Cost-Based Optimization, Access Path Selection, and Why Your Query Plan Changed
- Chapter 23: Reading and Interpreting EXPLAIN — The Single Most Important DBA Skill
-
Chapter 24: SQL Tuning — Rewriting Queries for Performance Without Changing Results
- Chapter 24 Exercises: SQL Tuning — Rewriting Queries for Performance Without Changing Results
- Chapter 24 Quiz: SQL Tuning — Rewriting Queries for Performance Without Changing Results
- Case Study 1: Batch Window Optimization
- Case Study 2: OLTP Query Tuning Sprint
- Chapter 24 Key Takeaways: SQL Tuning
- Chapter 24 Further Reading: SQL Tuning
-
Chapter 25: Buffer Pool and Memory Tuning — Giving DB2 the Right Resources
- Chapter 25 Exercises: Buffer Pool and Memory Tuning
- Chapter 25 Quiz: Buffer Pool and Memory Tuning
- Case Study 1: Buffer Pool Redesign at Meridian Bank
- Case Study 2: Memory Constraint Tuning on Limited Hardware
- Chapter 25 Key Takeaways: Buffer Pool and Memory Tuning
- Chapter 25 Further Reading: Buffer Pool and Memory Tuning
-
Chapter 26: Locking, Concurrency, and Isolation Levels — Balancing Throughput and Consistency
- Chapter 26: Exercises — Locking, Concurrency, and Isolation Levels
- Chapter 26: Quiz — Locking, Concurrency, and Isolation Levels
- Case Study 01: Deadlock Investigation at an Online Retailer
- Case Study 02: Concurrency Design for High-Volume OLTP
- Chapter 26: Key Takeaways — Locking, Concurrency, and Isolation Levels
- Chapter 26: Further Reading — Locking, Concurrency, and Isolation Levels
-
Chapter 27: Performance Diagnosis Methodology — A Systematic Approach to Finding and Fixing the Bottleneck
- Chapter 27: Exercises — Performance Diagnosis Methodology
- Chapter 27: Quiz — Performance Diagnosis Methodology
- Case Study 01: End-to-End Performance Investigation
- Case Study 02: Batch Window Crisis — 8 Hours to 12 Hours
- Chapter 27: Key Takeaways — Performance Diagnosis Methodology
- Chapter 27: Further Reading — Performance Diagnosis Methodology
Part VI: High Availability and Scalability
- Part VI: High Availability and Scalability
- Chapter 28: Data Sharing and Parallel Sysplex — Multi-Member DB2 on z/OS
- Chapter 29: HADR and Replication — High Availability for DB2 LUW
- Chapter 30: Partitioning Strategies — Distributing Data for Scale and Manageability
- Chapter 31: DB2 in the Cloud — Db2 on Cloud, Db2 Warehouse, and Hybrid Deployment Patterns
Part VII: Application Development Patterns
- Part VII: Application Development Patterns
- Chapter 32: Embedded SQL for COBOL and C — Static SQL, Cursors, and the Bind Process
- Chapter 33: JDBC, ODBC, and Python Access — Connecting Modern Applications to DB2
-
Chapter 34: Stored Procedures, UDFs, and Application Logic in the Database
- Chapter 34: Exercises — Stored Procedures, UDFs, and Application Logic in the Database
- Chapter 34: Quiz — Stored Procedures, UDFs, and Application Logic in the Database
- Case Study 34.1: Stored Procedure Architecture for Core Banking
- Case Study 34.2: UDF Library for Financial Calculations
- Chapter 34: Key Takeaways
- Chapter 34: Further Reading
-
Chapter 35: RESTful APIs and Modern Access Patterns: z/OS Connect, GraphQL, and Event Streaming
- Chapter 35: Exercises — RESTful APIs and Modern Access Patterns
- Chapter 35: Quiz — RESTful APIs and Modern Access Patterns
- Case Study 35.1: API Gateway for Legacy DB2 — Modernizing Without Rewriting
- Case Study 35.2: Event-Driven Architecture with Kafka and DB2
- Chapter 35: Key Takeaways
- Chapter 35: Further Reading
Part VIII: Capstone and Career
- Part VIII: Capstone and Career
-
Chapter 36: Capstone — The Meridian National Bank: Complete System Review, Stress Test, and Disaster Recovery Drill
- Chapter 36 Exercises: Capstone — Complete System Review, Stress Test, and Disaster Recovery Drill
- Chapter 36 Quiz: Capstone — Complete System Review, Stress Test, and Disaster Recovery Drill
- Case Study 36.1: Full System Stress Test — What We Found
- Case Study 36.2: Disaster Recovery Drill — Lessons Learned
- Chapter 36 Key Takeaways
- Chapter 36 Further Reading
- Chapter 37: The DB2 Professional's Career Path — Certification Roadmap, Skill Development, and the DBA of 2030
Intermediate COBOL: Beyond the Basics
Part I: Foundations Revisited
- Part I: Foundations Revisited
- Chapter 1: The COBOL Landscape Today
- Chapter 2: Development Environment Setup
- Chapter 3: COBOL Program Structure Deep Dive
- Chapter 4: Data Description Mastery
-
Chapter 5: Numeric Precision and Arithmetic
- Exercises — Chapter 5: Numeric Precision and Arithmetic
- Quiz — Chapter 5: Numeric Precision and Arithmetic
- Case Study 1: GlobalBank BAL-CALC — The Missing Penny
- Case Study 2: MedClaim Copay Calculation Crisis
- Key Takeaways — Chapter 5: Numeric Precision and Arithmetic
- Further Reading — Chapter 5: Numeric Precision and Arithmetic
Part II: Control Flow and Program Design
- Part II: Control Flow and Program Design
-
Chapter 6: Advanced Conditional Logic
- Exercises — Chapter 6: Advanced Conditional Logic
- Quiz — Chapter 6: Advanced Conditional Logic
- Case Study 1: GlobalBank Transaction Routing Overhaul
- Case Study 2: MedClaim Adjudication Logic and the Missing WHEN OTHER
- Key Takeaways — Chapter 6: Advanced Conditional Logic
- Further Reading — Chapter 6: Advanced Conditional Logic
-
Chapter 7: Iteration Patterns
- Exercises — Chapter 7: Iteration Patterns
- Quiz — Chapter 7: Iteration Patterns
- Case Study 1: GlobalBank Batch Transaction Processing Optimization
- Case Study 2: MedClaim Claim Line Item Processing and the Infinite Loop Incident
- Key Takeaways — Chapter 7: Iteration Patterns
- Further Reading — Chapter 7: Iteration Patterns
-
Chapter 8: Paragraph and Section Design
- Exercises — Chapter 8: Paragraph and Section Design
- Quiz — Chapter 8: Paragraph and Section Design
- Case Study 1: GlobalBank — Refactoring ACCT-MAINT for Better Structure
- Case Study 2: MedClaim — Designing CLM-ADJUD Program Flow
- Key Takeaways — Chapter 8: Paragraph and Section Design
- Further Reading — Chapter 8: Paragraph and Section Design
-
Chapter 9: Copybooks and Code Reuse
- Exercises — Chapter 9: Copybooks and Code Reuse
- Quiz — Chapter 9: Copybooks and Code Reuse
- Case Study 9.1: GlobalBank's Copybook Migration
- Case Study 9.2: MedClaim's Cross-System Copybook Strategy
- Key Takeaways — Chapter 9: Copybooks and Code Reuse
- Further Reading — Chapter 9: Copybooks and Code Reuse
- Chapter 10: Defensive Programming
Part III: File Processing Mastery
- Part III: File Processing Mastery
-
Chapter 11: Sequential File Processing
- Exercises — Chapter 11: Sequential File Processing
- Quiz — Chapter 11: Sequential File Processing
- Case Study 11.1: GlobalBank's Nightly Batch Window
- Case Study 11.2: MedClaim's Multi-Provider Claim Intake
- Key Takeaways — Chapter 11: Sequential File Processing
- Further Reading — Chapter 11: Sequential File Processing
-
Chapter 12: Indexed File Processing (VSAM KSDS)
- Exercises — Chapter 12: Indexed File Processing (VSAM KSDS)
- Quiz — Chapter 12: Indexed File Processing (VSAM KSDS)
- Case Study 1: GlobalBank Account Master Migration
- Case Study 2: MedClaim Provider File Redesign
- Key Takeaways — Chapter 12: Indexed File Processing (VSAM KSDS)
- Further Reading — Chapter 12: Indexed File Processing (VSAM KSDS)
-
Chapter 13: Relative Files and RRDS
- Exercises — Chapter 13: Relative Files and RRDS
- Quiz — Chapter 13: Relative Files and RRDS
- Case Study 1: GlobalBank Quick Lookup Table Performance Optimization
- Case Study 2: MedClaim Code Translation Tables
- Key Takeaways — Chapter 13: Relative Files and RRDS
- Further Reading — Chapter 13: Relative Files and RRDS
-
Chapter 14: Advanced File Techniques
- Exercises — Chapter 14: Advanced File Techniques
- Quiz — Chapter 14: Advanced File Techniques
- Case Study 1: GlobalBank Daily Master File Update
- Case Study 2: MedClaim Claims Adjudication Pipeline
- Key Takeaways — Chapter 14: Advanced File Techniques
- Further Reading — Chapter 14: Advanced File Techniques
- Chapter 15: Sort and Merge
- Chapter 16: Report Writer
Part IV: Data Manipulation and Strings
- Part IV: Data Manipulation and Strings
- Chapter 17: String Handling
- Chapter 18: Table Handling and Searching
-
Chapter 19: Pointer and Reference Modification
- Exercises: Pointer and Reference Modification
- Quiz: Pointer and Reference Modification
- Case Study 1: GlobalBank Variable-Length Transaction Description Parser
- Case Study 2: MedClaim EDI 837 Variable-Format Claim Processing
- Key Takeaways: Pointer and Reference Modification
- Further Reading: Pointer and Reference Modification
- Chapter 20: Intrinsic Functions
- Chapter 21: Date and Time Processing
Part V: Subprograms and Modular Design
- Part V: Subprograms and Modular Design
-
Chapter 22: CALL and Subprogram Linkage
- Exercises — Chapter 22: CALL and Subprogram Linkage
- Quiz — Chapter 22: CALL and Subprogram Linkage
- Case Study 1: GlobalBank's Modularization Journey
- Case Study 2: MedClaim's Common Routine Library
- Key Takeaways — Chapter 22: CALL and Subprogram Linkage
- Further Reading — Chapter 22: CALL and Subprogram Linkage
-
Chapter 23: Parameter Passing Patterns
- Exercises — Chapter 23: Parameter Passing Patterns
- Quiz — Chapter 23: Parameter Passing Patterns
- Case Study 1: GlobalBank's Standardized Return Codes and Error Structures
- Case Study 2: MedClaim's Adjudication Engine Parameter Architecture
- Key Takeaways — Chapter 23: Parameter Passing Patterns
- Further Reading — Chapter 23: Parameter Passing Patterns
- Chapter 24: Nested Programs
- Chapter 25: Object-Oriented COBOL
- Chapter 26: Inter-Language Communication
Part VI: Database and Transaction Processing
- Part VI: Database and Transaction Processing
- Chapter 27: Embedded SQL Fundamentals
- Chapter 28: Advanced DB2 Programming
- Chapter 29: CICS Fundamentals
- Chapter 30: Advanced CICS Programming
- Chapter 31: IMS/DB Basics
-
Chapter 32: Transaction Design Patterns
- Exercises — Chapter 32: Transaction Design Patterns
- Quiz — Chapter 32: Transaction Design Patterns
- Case Study 1: GlobalBank's Funds Transfer Incident
- Case Study 2: MedClaim's Saga-Based Claim Lifecycle
- Key Takeaways — Chapter 32: Transaction Design Patterns
- Further Reading — Chapter 32: Transaction Design Patterns
Part VII: Testing, Debugging, and Quality
- Part VII: Testing, Debugging, and Quality
- Chapter 33: Debugging Strategies
- Chapter 34: Unit Testing COBOL
- Chapter 35: Code Review and Static Analysis
- Chapter 36: Performance Tuning
-
Chapter 37: Migration and Modernization
- Exercises: Migration and Modernization
- Quiz: Migration and Modernization
- Case Study: GlobalBank — Evaluating Modernization Options for GLOBALBANK-CORE
- Case Study: MedClaim — Wrapping Claims Processing as a Microservice
- Key Takeaways: Migration and Modernization
- Further Reading: Migration and Modernization
Part VIII: Enterprise Patterns and Architecture
- Part VIII: Enterprise Patterns and Architecture
-
Chapter 38: Batch Processing Patterns
- Exercises — Chapter 38: Batch Processing Patterns
- Quiz — Chapter 38: Batch Processing Patterns
- Case Study 1: GlobalBank Nightly Batch Recovery
- Case Study 2: MedClaim Claims Pipeline Reconciliation Failure
- Key Takeaways — Chapter 38: Batch Processing Patterns
- Further Reading — Chapter 38: Batch Processing Patterns
- Chapter 39: Real-Time Integration
-
Chapter 40: COBOL and the Modern Stack
- Exercises — Chapter 40: COBOL and the Modern Stack
- Quiz — Chapter 40: COBOL and the Modern Stack
- Case Study 1: GlobalBank CI/CD Pipeline Implementation
- Case Study 2: MedClaim Containerized Claim Processing
- Key Takeaways — Chapter 40: COBOL and the Modern Stack
- Further Reading — Chapter 40: COBOL and the Modern Stack
-
Chapter 41: Legacy Code Archaeology
- Exercises — Chapter 41: Legacy Code Archaeology
- Quiz — Chapter 41: Legacy Code Archaeology
- Case Study 1: GlobalBank 1987 GL Reconciliation Module
- Case Study 2: MedClaim Adjudication Rules Reverse Engineering
- Key Takeaways — Chapter 41: Legacy Code Archaeology
- Further Reading — Chapter 41: Legacy Code Archaeology
- Chapter 42: The Future of COBOL
Part IX: Capstones
- Part IX: Capstones
-
Chapter 43: Capstone 1 — Building a Complete Banking Transaction System
- Exercises: Building a Complete Banking Transaction System
- Quiz: Building a Complete Banking Transaction System
- Case Study 1: The Midnight Balance Break
- Case Study 2: Scaling the Batch Window
- Key Takeaways: Building a Complete Banking Transaction System
- Further Reading: Building a Complete Banking Transaction System
- Chapter 44: Capstone 2 — Legacy System Modernization Case Study
-
Chapter 45: Capstone 3 — From Batch to Real-Time: A Full Migration Project
- Exercises: From Batch to Real-Time: A Full Migration Project
- Quiz: From Batch to Real-Time: A Full Migration Project
- Case Study 1: The Timezone That Cost $2 Million
- Case Study 2: When the Queue Ran Dry
- Key Takeaways: From Batch to Real-Time: A Full Migration Project
- Further Reading: From Batch to Real-Time: A Full Migration Project
Appendices
- Appendix A: COBOL Language Reference Card
- Appendix B: Mathematical Foundations
- Appendix C: JCL Quick Reference
- Appendix D: COBOL Reserved Words
- Appendix E: VSAM and File Organization Reference
- Appendix F: Glossary
- Appendix G: Answers to Selected Exercises
- Appendix H: Bibliography
- Appendix I: Migration & Modernization Toolkit
Introduction to Computer Science with Python
Frontmatter
Part I: Getting Started
Part II: Control Flow
Part III: Data
Part IV: Building Robust Programs
Part V: Object-Oriented Programming
Part VI: Algorithms and Data Structures
Part VII: Real-World Python
Part VIII: Professional Practice
Part IX: Capstones
Introduction to Data Science: From Curiosity to Code
Frontmatter
Part I: Welcome to Data Science
-
Chapter 1: What Is Data Science? (And What It Isn't) — A Map of the Field
- Chapter 1 Exercises: What Is Data Science? (And What It Isn't)
- Chapter 1 Quiz: What Is Data Science? (And What It Isn't)
- Case Study 1: From Spreadsheets to Strategy — How a Local Coffee Chain Used Data Science to Survive a Pandemic
- Case Study 2: Counting What Counts — Data Science in the Fight Against Maternal Mortality
- Key Takeaways: What Is Data Science?
- Further Reading: What Is Data Science?
-
Chapter 2: Setting Up Your Toolkit: Python, Jupyter, and Your First Notebook
- Chapter 2 Exercises: Setting Up Your Toolkit
- Chapter 2 Quiz: Setting Up Your Toolkit
- Case Study 1: Setting Up a Data Science Environment for a University Research Lab
- Case Study 2: From Spreadsheet Chaos to Notebook Clarity — A Business Analyst's Migration Story
- Key Takeaways: Setting Up Your Toolkit
- Further Reading: Setting Up Your Toolkit
-
Chapter 3: Python Fundamentals I — Variables, Data Types, and Expressions
- Chapter 3 Exercises: Python Fundamentals I — Variables, Data Types, and Expressions
- Chapter 3 Quiz: Python Fundamentals I — Variables, Data Types, and Expressions
- Case Study 1: Calculating a Batting Average — Sports Data with Python Basics
- Case Study 2: Patient Records and Data Types — When Numbers Aren't Really Numbers
- Key Takeaways: Python Fundamentals I — Variables, Data Types, and Expressions
- Further Reading: Python Fundamentals I
-
Chapter 4: Python Fundamentals II: Control Flow, Functions, and Thinking Like a Programmer
- Chapter 4 Exercises: Control Flow, Functions, and Thinking Like a Programmer
- Chapter 4 Quiz: Control Flow, Functions, and Thinking Like a Programmer
- Case Study 1: Automating Grade Categories — Jordan's First Script
- Case Study 2: Building a Sales Report Generator — Marcus's Weekly Automation
- Key Takeaways: Control Flow, Functions, and Thinking Like a Programmer
- Further Reading: Control Flow, Functions, and Thinking Like a Programmer
-
Chapter 5: Working with Data Structures: Dictionaries, Files, and Thinking in Data
- Chapter 5 Exercises: Working with Data Structures
- Chapter 5 Quiz: Working with Data Structures
- Case Study 1: Organizing NBA Player Statistics — From Spreadsheet to Code
- Case Study 2: Building a Country Health Profile Database — Nested Data for Global Health
- Key Takeaways: Working with Data Structures
- Further Reading: Data Structures, Files, and Thinking in Data
-
Chapter 6: Your First Data Analysis — Loading, Exploring, and Asking Questions of Real Data
- Chapter 6 Exercises: Your First Data Analysis
- Chapter 6 Quiz: Your First Data Analysis
- Case Study 1: What Does the Menu Tell Us? Exploring Fast Food Nutrition Data
- Case Study 2: Election Night Analysis — Jordan Explores Voter Turnout Data
- Key Takeaways: Your First Data Analysis
- Further Reading: Your First Data Analysis
Part II: Data Wrangling
-
Chapter 7: Introduction to pandas — DataFrames, Series, and the Grammar of Data Manipulation
- Chapter 7 Exercises: Introduction to pandas
- Chapter 7 Quiz: Introduction to pandas
- Case Study 1: From Loops to Vectors — Rebuilding the Nutrition Analysis in pandas
- Case Study 2: Marcus's Sales Dashboard — From CSV to Insights in 20 Lines
- Key Takeaways: Introduction to pandas
- Further Reading: Introduction to pandas
- Chapter 8: Cleaning Messy Data: Missing Values, Duplicates, Type Errors, and the 80% of the Job
-
Chapter 9: Reshaping and Transforming Data — Merge, Join, Pivot, Melt, and GroupBy
- Chapter 9 Exercises: Reshaping and Transforming Data
- Chapter 9 Quiz: Reshaping and Transforming Data
- Case Study 1: Combining Player Stats and Team Records — Priya Merges NBA Datasets
- Case Study 2: Reshaping Global Health Data for a WHO Report
- Key Takeaways: Reshaping and Transforming Data
- Further Reading: Reshaping and Transforming Data
-
Chapter 10: Working with Text Data — String Methods, Regular Expressions, and Extracting Meaning
- Chapter 10 Exercises: Working with Text Data
- Chapter 10 Quiz: Working with Text Data
- Case Study 1: Parsing Messy Survey Responses — Extracting Meaning from Free Text
- Case Study 2: Cleaning Drug Names — When Text Data Can Save Lives
- Key Takeaways: Working with Text Data
- Further Reading: Working with Text Data
-
Chapter 11: Working with Dates, Times, and Time Series Data
- Chapter 11 Exercises: Working with Dates, Times, and Time Series Data
- Chapter 11 Quiz: Working with Dates, Times, and Time Series Data
- Case Study 1: When Did Sales Peak? Marcus Discovers Seasonal Patterns
- Case Study 2: Tracking the Pandemic Timeline — Vaccination Rollout Analysis
- Key Takeaways: Working with Dates, Times, and Time Series Data
- Further Reading: Working with Dates, Times, and Time Series Data
-
Chapter 12: Getting Data from Files — CSVs, Excel, JSON, and Databases
- Chapter 12 Exercises: Getting Data from Files
- Chapter 12 Quiz: Getting Data from Files
- Case Study 1: The Data Format Zoo — Consolidating Reports from Three Departments
- Case Study 2: Querying a University Database — Jordan Discovers SQL
- Key Takeaways: Getting Data from Files
- Further Reading: Getting Data from Files
-
Chapter 13: Getting Data from the Web — APIs, Web Scraping, and Building Your Own Datasets
- Chapter 13 Exercises: Getting Data from the Web
- Chapter 13 Quiz: Getting Data from the Web
- Case Study 1: Building a Sports Stats Pipeline — Priya Automates NBA Data Collection
- Case Study 2: The Ethics of Scraping — When Public Data Isn't Really Public
- Key Takeaways: Getting Data from the Web
- Further Reading: Getting Data from the Web
Part III: Data Visualization
-
Chapter 14: The Grammar of Graphics — Why Visualization Matters and How to Think About Charts
- Chapter 14 Exercises: The Grammar of Graphics
- Chapter 14 Quiz: The Grammar of Graphics
- Case Study 1: The Chart That Changed Public Health — John Snow's Cholera Map
- Case Study 2: How a Misleading Axis Fooled Millions — Deconstructing Bad Charts
- Key Takeaways: The Grammar of Graphics
- Further Reading: The Grammar of Graphics
-
Chapter 15: matplotlib Foundations — Building Charts from the Ground Up
- Chapter 15 Exercises: matplotlib Foundations
- Chapter 15 Quiz: matplotlib Foundations
- Case Study 1: Visualizing Vaccination Trends — Elena's First Dashboard
- Case Study 2: The Sports Page Goes Digital — Priya's NBA Shot Charts
- Key Takeaways: matplotlib Foundations
- Further Reading: matplotlib Foundations
-
Chapter 16: Statistical Visualization with seaborn
- Chapter 16 Exercises: Statistical Visualization with seaborn
- Chapter 16 Quiz: Statistical Visualization with seaborn
- Case Study 1: Visualizing Health Disparities Across Income Groups
- Case Study 2: Finding the Story in NBA Statistics with seaborn
- Key Takeaways: Statistical Visualization with seaborn
- Further Reading: Statistical Visualization with seaborn
-
Chapter 17: Interactive Visualization — plotly, Dashboard Thinking
- Chapter 17 Exercises: Interactive Visualization — plotly, Dashboard Thinking
- Chapter 17 Quiz: Interactive Visualization — plotly, Dashboard Thinking
- Case Study 1: An Interactive Global Health Dashboard
- Case Study 2: Election Night Live — Building an Interactive Results Tracker
- Key Takeaways: Interactive Visualization — plotly, Dashboard Thinking
- Further Reading: Interactive Visualization — plotly, Dashboard Thinking
-
Chapter 18: Visualization Design — Principles, Accessibility, Ethics, and Common Mistakes
- Chapter 18 Exercises: Visualization Design — Principles, Accessibility, Ethics, and Common Mistakes
- Chapter 18 Quiz: Visualization Design — Principles, Accessibility, Ethics, and Common Mistakes
- Case Study 1: Redesigning a Government Report for Accessibility
- Case Study 2: The Gallery of Misleading Charts — A Forensic Analysis
- Key Takeaways: Visualization Design — Principles, Accessibility, Ethics, and Common Mistakes
- Further Reading: Visualization Design — Principles, Accessibility, Ethics, and Common Mistakes
Part IV: Statistical Thinking
-
Chapter 19: Descriptive Statistics — Center, Spread, Shape, and the Stories Numbers Tell
- Chapter 19 Exercises: Descriptive Statistics
- Chapter 19 Quiz: Descriptive Statistics
- Case Study 1: What "Average" Salary Really Means — When the Mean Lies
- Case Study 2: Health Metrics Across Nations — A Statistical Portrait
- Key Takeaways: Descriptive Statistics
- Further Reading: Descriptive Statistics
-
Chapter 20: Probability Thinking — Uncertainty, Randomness, and Why Your Intuition Lies
- Chapter 20 Exercises: Probability Thinking
- Chapter 20 Quiz: Probability Thinking
- Case Study 1: The Prosecutor's Fallacy — When Probability Goes to Court
- Case Study 2: Simulating Disease Spread — Elena Models Outbreak Probability
- Key Takeaways: Probability Thinking
- Further Reading: Probability Thinking
-
Chapter 21: Distributions and the Normal Curve — The Shape That Shows Up Everywhere
- Chapter 21 Exercises: Distributions and the Normal Curve
- Chapter 21 Quiz: Distributions and the Normal Curve
- Case Study 1: Are Test Scores Really Normally Distributed? Jordan Investigates
- Case Study 2: The Central Limit Theorem in Action — Simulating Sample Means
- Key Takeaways: Distributions and the Normal Curve
- Further Reading: Distributions and the Normal Curve
-
Chapter 22: Sampling, Estimation, and Confidence Intervals — How to Learn About Millions from a Handful
- Chapter 22 Exercises: Sampling, Estimation, and Confidence Intervals
- Chapter 22 Quiz: Sampling, Estimation, and Confidence Intervals
- Case Study 1: Why Political Polls Get It Wrong — Sampling in the Real World
- Case Study 2: Estimating Global Vaccination Coverage from Incomplete Data
- Key Takeaways: Sampling, Estimation, and Confidence Intervals
- Further Reading: Sampling, Estimation, and Confidence Intervals
- Chapter 23: Hypothesis Testing — Making Decisions with Data (and What P-Values Actually Mean)
-
Chapter 24: Correlation, Causation, and the Danger of Confusing the Two
- Chapter 24 Exercises: Correlation, Causation, and the Danger of Confusing the Two
- Chapter 24 Quiz: Correlation, Causation, and the Danger of Confusing the Two
- Case Study 1: Ice Cream and Drowning — The Classic Confounding Story (And Its Modern Equivalents)
- Case Study 2: Does Money Buy Health? Disentangling GDP, Spending, and Outcomes
- Key Takeaways: Correlation, Causation, and the Danger of Confusing the Two
- Further Reading: Correlation, Causation, and the Danger of Confusing the Two
Part V: First Models
-
Chapter 25: What Is a Model? Prediction, Explanation, and the Bias-Variance Tradeoff
- Chapter 25 Exercises: What Is a Model? Prediction, Explanation, and the Bias-Variance Tradeoff
- Chapter 25 Quiz: What Is a Model? Prediction, Explanation, and the Bias-Variance Tradeoff
- Case Study 1: The Weather Forecaster's Dilemma — Simple vs. Complex Models
- Case Study 2: Predicting Student Success — When Models Help and When They Harm
- Key Takeaways: What Is a Model? Prediction, Explanation, and the Bias-Variance Tradeoff
- Further Reading: What Is a Model? Prediction, Explanation, and the Bias-Variance Tradeoff
-
Chapter 26: Linear Regression — Your First Predictive Model
- Chapter 26 Exercises: Linear Regression — Your First Predictive Model
- Chapter 26 Quiz: Linear Regression — Your First Predictive Model
- Case Study 1: Predicting House Prices — The Classic Regression Problem
- Case Study 2: Does More Spending Mean Better Health? Elena's Regression Analysis
- Key Takeaways: Linear Regression — Your First Predictive Model
- Further Reading: Linear Regression — Your First Predictive Model
-
Chapter 27: Logistic Regression and Classification — Predicting Categories
- Chapter 27 Exercises: Logistic Regression and Classification — Predicting Categories
- Chapter 27 Quiz: Logistic Regression and Classification — Predicting Categories
- Case Study 1: Will This Customer Churn? Marcus Predicts Loyalty
- Case Study 2: Screening for Disease Risk — Classification in Public Health
- Key Takeaways: Logistic Regression and Classification — Predicting Categories
- Further Reading: Logistic Regression and Classification — Predicting Categories
-
Chapter 28: Decision Trees and Random Forests — Models You Can Explain to Your Boss
- Chapter 28 Exercises: Decision Trees and Random Forests
- Chapter 28 Quiz: Decision Trees and Random Forests
- Case Study 1: Should We Approve the Loan? A Decision Tree for Credit Risk
- Case Study 2: Predicting Game Outcomes — Priya's Random Forest for NBA
- Key Takeaways: Decision Trees and Random Forests
- Further Reading: Decision Trees and Random Forests
- Chapter 29: Evaluating Models — Accuracy, Precision, Recall, and Why "Good" Depends on the Question
-
Chapter 30: The Machine Learning Workflow — Pipelines, Validation, and Putting It All Together
- Chapter 30 Exercises: The Machine Learning Workflow
- Chapter 30 Quiz: The Machine Learning Workflow
- Case Study 1: End-to-End — From Raw Data to Deployed Prediction
- Case Study 2: The Data Leakage Disaster — A Cautionary Tale
- Key Takeaways: The Machine Learning Workflow
- Further Reading: The Machine Learning Workflow
Part VI: The Data Science Profession
-
Chapter 31: Communicating Results: Reports, Presentations, and the Art of the Data Story
- Chapter 31 Exercises: Communicating Results: Reports, Presentations, and the Art of the Data Story
- Chapter 31 Quiz: Communicating Results: Reports, Presentations, and the Art of the Data Story
- Case Study 1: The Presentation That Changed a Policy — Data Storytelling in Government
- Case Study 2: Writing for Different Audiences — Technical Report vs. Blog Post vs. Slide Deck
- Key Takeaways: Communicating Results: Reports, Presentations, and the Art of the Data Story
- Further Reading: Communicating Results: Reports, Presentations, and the Art of the Data Story
-
Chapter 32: Ethics in Data Science: Bias, Privacy, Consent, and Responsible Practice
- Chapter 32 Exercises: Ethics in Data Science: Bias, Privacy, Consent, and Responsible Practice
- Chapter 32 Quiz: Ethics in Data Science: Bias, Privacy, Consent, and Responsible Practice
- Case Study 1: When Algorithms Discriminate — Bias in Hiring, Lending, and Criminal Justice
- Case Study 2: The Privacy Paradox — Balancing Data Utility with Individual Rights
- Key Takeaways: Ethics in Data Science: Bias, Privacy, Consent, and Responsible Practice
- Further Reading: Ethics in Data Science: Bias, Privacy, Consent, and Responsible Practice
-
Chapter 33: Reproducibility and Collaboration: Git, Environments, and Working with Teams
- Chapter 33 Exercises: Reproducibility and Collaboration: Git, Environments, and Working with Teams
- Chapter 33 Quiz: Reproducibility and Collaboration: Git, Environments, and Working with Teams
- Case Study 1: The Reproducibility Crisis — When Published Results Cannot Be Replicated
- Case Study 2: Collaborating on a Data Project — A Team Workflow with Git
- Key Takeaways: Reproducibility and Collaboration: Git, Environments, and Working with Teams
- Further Reading: Reproducibility and Collaboration: Git, Environments, and Working with Teams
-
Chapter 34: Building Your Portfolio: Projects That Get You Hired
- Chapter 34 Exercises: Building Your Portfolio
- Chapter 34 Quiz: Building Your Portfolio
- Case Study 1: From Student to Data Scientist: Three Portfolio Success Stories
- Case Study 2: The Portfolio Review: What Hiring Managers Actually Look For
- Key Takeaways: Building Your Portfolio
- Further Reading: Building Your Portfolio
-
Chapter 35: Capstone Project: A Complete Data Science Investigation
- Chapter 35 Exercises: Capstone Project Milestones
- Chapter 35 Quiz: Capstone Readiness Self-Assessment
- Case Study 1: A Model Capstone: Complete Vaccination Rate Analysis
- Case Study 2: An Alternative Capstone: Analyzing Your Own Dataset
- Key Takeaways: Capstone Project
- Further Reading: Capstone Project
-
Chapter 36: What's Next: Career Paths, Continuous Learning, and the Road to Intermediate Data Science
- Chapter 36 Exercises: Planning Your Future in Data Science
- Chapter 36 Quiz: Reflection and Career Planning
- Case Study 1: Five Data Scientists, Five Paths: Career Journeys That Started Here
- Case Study 2: The First Year: What to Expect in Your Data Science Journey
- Key Takeaways: What's Next
- Further Reading: What's Next
Introductory Statistics: Making Sense of Data in the Age of AI
Frontmatter
Part 1: Getting Started
-
Chapter 1: Why Statistics Matters (and Why You Might Actually Enjoy This)
- Exercises: Why Statistics Matters (and Why You Might Actually Enjoy This)
- Quiz: Why Statistics Matters (and Why You Might Actually Enjoy This)
- Case Study: The Replication Crisis — When Statistics Goes Wrong
- Case Study: Hans Rosling and the Joy of Stats — How Data Storytelling Changes Minds
- Key Takeaways: Why Statistics Matters (and Why You Might Actually Enjoy This)
- Further Reading: Why Statistics Matters
-
Chapter 2: Types of Data and the Language of Statistics
- Exercises: Types of Data and the Language of Statistics
- Quiz: Types of Data and the Language of Statistics
- Case Study: Data Types in Electronic Health Records — When Classification Is Life or Death
- Case Study: Classifying Data at Scale — When Every Click Becomes Data
- Key Takeaways: Types of Data and the Language of Statistics
- Further Reading: Types of Data and the Language of Statistics
-
Chapter 3: Your Data Toolkit: Python, Excel, and Jupyter Notebooks
- Exercises: Your Data Toolkit — Python, Excel, and Jupyter Notebooks
- Quiz: Your Data Toolkit — Python, Excel, and Jupyter Notebooks
- Case Study: Exploring Public Health Data with pandas — Dr. Chen's Flu Surveillance
- Case Study: Excel vs. Python — When Each Tool Shines
- Key Takeaways: Your Data Toolkit — Python, Excel, and Jupyter Notebooks
- Further Reading: Your Data Toolkit — Python, Excel, and Jupyter Notebooks
-
Chapter 4: Designing Studies: Sampling and Experiments
- Exercises: Designing Studies — Sampling and Experiments
- Quiz: Designing Studies — Sampling and Experiments
- Case Study: The 1936 Literary Digest Poll Disaster — Sampling Bias in Action
- Case Study: A/B Testing in Tech — Designing Experiments at Scale
- Key Takeaways: Designing Studies — Sampling and Experiments
- Further Reading: Designing Studies — Sampling and Experiments
Part 2: Exploring Data
-
Chapter 5: Exploring Data: Graphs and Descriptive Statistics
- Exercises: Exploring Data — Graphs and Descriptive Statistics
- Quiz: Exploring Data — Graphs and Descriptive Statistics
- Case Study: Misleading Graphs in the Media — How Visualizations Deceive
- Case Study: Florence Nightingale's Revolutionary Data Visualization
- Key Takeaways: Exploring Data — Graphs and Descriptive Statistics
- Further Reading: Exploring Data — Graphs and Descriptive Statistics
-
Chapter 6: Numerical Summaries: Center, Spread, and Shape
- Exercises: Numerical Summaries — Center, Spread, and Shape
- Quiz: Numerical Summaries — Center, Spread, and Shape
- Case Study: Income Inequality — Why the Mean Lies
- Case Study: The Empirical Rule in Quality Control — When Every Millimeter Matters
- Key Takeaways: Numerical Summaries — Center, Spread, and Shape
- Further Reading: Numerical Summaries — Center, Spread, and Shape
-
Chapter 7: Data Wrangling: Cleaning and Preparing Real Data
- Exercises: Data Wrangling — Cleaning and Preparing Real Data
- Quiz: Data Wrangling — Cleaning and Preparing Real Data
- Case Study: When Cleaning Decisions Changed the COVID-19 Count
- Case Study: Alex's StreamVibe Cleaning Log — A Step-by-Step Template
- Key Takeaways: Data Wrangling — Cleaning and Preparing Real Data
- Further Reading: Data Wrangling — Cleaning and Preparing Real Data
Part 3: Probability
-
Chapter 8: Probability: The Foundation of Inference
- Exercises: Probability — The Foundation of Inference
- Quiz: Probability — The Foundation of Inference
- Case Study: The Monty Hall Problem — When Intuition Betrays You
- Case Study: Probability in Sports — From Fantasy Leagues to the Vegas Line
- Key Takeaways: Probability — The Foundation of Inference
- Further Reading: Probability — The Foundation of Inference
-
Chapter 9: Conditional Probability and Bayes' Theorem
- Exercises: Conditional Probability and Bayes' Theorem
- Quiz: Conditional Probability and Bayes' Theorem
- Case Study 1: Medical Screening — When a Positive Test Doesn't Mean What You Think
- Case Study 2: Bayes in the Courtroom — The Prosecutor's Fallacy in Criminal Trials
- Key Takeaways: Conditional Probability and Bayes' Theorem
- Further Reading: Conditional Probability and Bayes' Theorem
-
Chapter 10: Probability Distributions and the Normal Curve
- Exercises: Probability Distributions and the Normal Curve
- Quiz: Probability Distributions and the Normal Curve
- Case Study 1: The Bell Curve in Standardized Testing — How SAT and ACT Scores Are Designed to Be Normal
- Case Study 2: When Normality Fails — Income, Wealth, and Power-Law Distributions
- Key Takeaways: Probability Distributions and the Normal Curve
- Further Reading: Probability Distributions and the Normal Curve
Part 4: The Bridge to Inference
-
Chapter 11: Sampling Distributions and the Central Limit Theorem
- Exercises: Sampling Distributions and the Central Limit Theorem
- Quiz: Sampling Distributions and the Central Limit Theorem
- Case Study 1: How Polls Predict Elections — The CLT Behind the Curtain
- Case Study 2: Quality Control and the CLT — How Factories Trust Sample Averages
- Key Takeaways: Sampling Distributions and the Central Limit Theorem
- Further Reading: Sampling Distributions and the Central Limit Theorem
-
Chapter 12: Confidence Intervals: Estimating with Uncertainty
- Exercises: Confidence Intervals: Estimating with Uncertainty
- Quiz: Confidence Intervals: Estimating with Uncertainty
- Case Study 1: Maya's Confidence Interval — Estimating Disease Prevalence in a Community
- Case Study 2: Polls, Margins of Error, and the Art of Predicting Elections
- Key Takeaways: Confidence Intervals: Estimating with Uncertainty
- Further Reading: Confidence Intervals: Estimating with Uncertainty
-
Chapter 13: Hypothesis Testing: Making Decisions with Data
- Exercises: Hypothesis Testing: Making Decisions with Data
- Quiz: Hypothesis Testing: Making Decisions with Data
- Case Study 1: The Replication Crisis Revisited — Now You Understand Why
- Case Study 2: Clinical Trials and FDA Approval — When Type I and Type II Errors Are Life-or-Death
- Key Takeaways: Hypothesis Testing: Making Decisions with Data
- Further Reading: Hypothesis Testing: Making Decisions with Data
Part 5: Inference in Practice
-
Chapter 14: Inference for Proportions
- Exercises: Inference for Proportions
- Quiz: Inference for Proportions
- Case Study 1: Polling, Margins of Error, and the Night That Changed Election Forecasting
- Case Study 2: Medical Screening and the False Positive Paradox — When Proportion Inference Meets Bayes' Theorem
- Key Takeaways: Inference for Proportions
- Further Reading: Inference for Proportions
-
Chapter 15: Inference for Means
- Exercises: Inference for Means
- Quiz: Inference for Means
- Case Study 1: Maya's Emergency Department Wait Times — A Public Health Investigation
- Case Study 2: Alex's Watch Time and the A/B Testing Pipeline — How Tech Companies Use t-Tests at Scale
- Key Takeaways: Inference for Means
- Further Reading: Inference for Means
- Chapter 16: Comparing Two Groups
-
Chapter 17: Power, Effect Sizes, and What "Significant" Really Means
- Exercises: Power, Effect Sizes, and What "Significant" Really Means
- Quiz: Power, Effect Sizes, and What "Significant" Really Means
- Case Study 1: Alex's A/B Test — Was It Practically Significant?
- Case Study 2: James's Bail Algorithm — Effect Sizes and Fairness
- Key Takeaways: Power, Effect Sizes, and What "Significant" Really Means
- Further Reading: Power, Effect Sizes, and What "Significant" Really Means
-
Chapter 18: The Bootstrap and Simulation-Based Inference
- Exercises: The Bootstrap and Simulation-Based Inference
- Quiz: The Bootstrap and Simulation-Based Inference
- Case Study 1: Maya's Bootstrap Analysis of Emergency Department Wait Times
- Case Study 2: Alex's Permutation Test — A/B Testing Without Assumptions
- Key Takeaways: The Bootstrap and Simulation-Based Inference
- Further Reading: The Bootstrap and Simulation-Based Inference
Part 6: Beyond Two Groups
-
Chapter 19: Chi-Square Tests: Categorical Data Analysis
- Exercises: Chi-Square Tests: Categorical Data Analysis
- Quiz: Chi-Square Tests: Categorical Data Analysis
- Case Study 1: Maya's Regional Disease Distribution Analysis
- Case Study 2: James's Analysis of Bail Decisions by Race
- Key Takeaways: Chi-Square Tests: Categorical Data Analysis
- Further Reading: Chi-Square Tests: Categorical Data Analysis
- Chapter 20: Analysis of Variance (ANOVA)
- Chapter 21: Nonparametric Methods: When Assumptions Fail
Part 7: Relationships and Prediction
-
Chapter 22: Correlation and Simple Linear Regression
- Exercises: Correlation and Simple Linear Regression
- Quiz: Correlation and Simple Linear Regression
- Case Study 1: Maya's Poverty Rate and ER Visit Analysis
- Case Study 2: James's Algorithm Risk Scores vs. Actual Recidivism
- Key Takeaways: Correlation and Simple Linear Regression
- Further Reading: Correlation and Simple Linear Regression
- Chapter 23: Multiple Regression: The Real World Has More Than One Variable
- Chapter 24: Logistic Regression: When the Outcome Is Yes or No
-
Chapter 25: Communicating with Data: Telling Stories with Numbers
- Exercises: Communicating with Data: Telling Stories with Numbers
- Quiz: Communicating with Data: Telling Stories with Numbers
- Case Study 1: Maya's Public Health Brief for the City Council
- Case Study 2: James's Policy Memo on Algorithmic Bias
- Key Takeaways: Communicating with Data: Telling Stories with Numbers
- Further Reading: Communicating with Data: Telling Stories with Numbers
Part 8: Statistics in the Modern World
-
Chapter 26: Statistics and AI: Being a Critical Consumer of Data
- Exercises: Statistics and AI: Being a Critical Consumer of Data
- Quiz: Statistics and AI: Being a Critical Consumer of Data
- Case Study 1: James and the COMPAS Algorithm — A Full Statistical Audit
- Case Study 2: Sam and the Player Evaluation Algorithm Arms Race
- Key Takeaways: Statistics and AI: Being a Critical Consumer of Data
- Further Reading: Statistics and AI: Being a Critical Consumer of Data
-
Chapter 27: Lies, Damn Lies, and Statistics: Ethical Data Practice
- Exercises: Lies, Damn Lies, and Statistics: Ethical Data Practice
- Quiz: Lies, Damn Lies, and Statistics: Ethical Data Practice
- Case Study 1: Maya's Public Health Data Dilemma — Privacy vs. Public Good
- Case Study 2: James's Algorithmic Reckoning — Ethics of Data-Driven Criminal Justice
- Key Takeaways: Lies, Damn Lies, and Statistics: Ethical Data Practice
- Further Reading: Lies, Damn Lies, and Statistics: Ethical Data Practice
-
Chapter 28: Your Statistical Journey Continues
- Exercises: Your Statistical Journey Continues
- Quiz: Your Statistical Journey Continues
- Case Study 1: The Four Journeys — A Retrospective on Statistical Thinking in Action
- Case Study 2: The Graduation Speech — Designing a Statistical Literacy Campaign
- Key Takeaways: Your Statistical Journey Continues
- Further Reading: Your Statistical Journey Continues
Capstone Projects
Appendices
- Appendix A: Statistical Tables
- Appendix B: Python Quick Reference for Statistics
- Appendix C: Environment Setup Guide
- Appendix D: Data Sources Guide
- Appendix E: Templates and Worksheets
- Appendix F: FAQ and Troubleshooting
- Appendix G: Key Studies Summary
- Glossary
- Index
- Answers to Selected Exercises
- Bibliography
Learning COBOL Programming: From Beginners to Experts
Front Matter
Part I: COBOL Foundations and the Mainframe World
- Part I: COBOL Foundations and the Mainframe World
- Chapter 1: The World of COBOL -- History, Relevance, and the Mainframe Ecosystem
-
Chapter 2: COBOL Program Structure -- Divisions, Sections, and Paragraphs
- Chapter 2 Exercises: COBOL Program Structure
- Chapter 2 Quiz: COBOL Program Structure
- Case Study 1: Restructuring Legacy Spaghetti Code at Metro Transit Authority
- Case Study 2: Analyzing a Real-World COBOL Program Structure
- Chapter 2: Key Takeaways -- COBOL Program Structure
- Chapter 2: Further Reading -- COBOL Program Structure
-
Chapter 3: Data Types, Variables, and the PICTURE Clause
- Chapter 3 Exercises: Data Types, Variables, and the PICTURE Clause
- Chapter 3 Quiz: Data Types, Variables, and the PICTURE Clause
- Case Study 1: Designing a Customer Account Record at Continental Savings Bank
- Case Study 2: Currency Conversion Data Representation at Pacific Rim Exchange Services
- Chapter 3: Key Takeaways -- Data Types, Variables, and the PICTURE Clause
- Chapter 3: Further Reading -- Data Types, Variables, and the PICTURE Clause
-
Chapter 4: The WORKING-STORAGE and LOCAL-STORAGE Sections
- Chapter 4 Exercises: The WORKING-STORAGE and LOCAL-STORAGE Sections
- Chapter 4 Quiz: The WORKING-STORAGE and LOCAL-STORAGE Sections
- Case Study 1: Designing Working Storage for a Loan Processing System
- Case Study 2: Designing a Loan Application Data Structure
- Chapter 4: Key Takeaways -- The WORKING-STORAGE and LOCAL-STORAGE Sections
- Chapter 4: Further Reading -- The WORKING-STORAGE and LOCAL-STORAGE Sections
-
Chapter 5: Basic Input/Output and DISPLAY/ACCEPT Statements
- Chapter 5 Exercises: Basic Input/Output and DISPLAY/ACCEPT Statements
- Chapter 5 Quiz: Basic Input/Output and DISPLAY/ACCEPT Statements
- Case Study 1: Building an ATM Interface Prototype
- Case Study 2: Batch Report Generation at County Tax Office
- Chapter 5: Key Takeaways -- Basic Input/Output and DISPLAY/ACCEPT Statements
- Chapter 5: Further Reading -- Basic Input/Output and DISPLAY/ACCEPT Statements
-
Chapter 6: Arithmetic Operations and Numeric Processing
- Chapter 6 Exercises: Arithmetic Operations and Numeric Processing
- Chapter 6 Quiz: Arithmetic Operations and Numeric Processing
- Case Study 1: Precision Matters -- The $0.01 Problem at National Savings Bank
- Case Study 2: Payroll Calculation System
- Chapter 6: Key Takeaways -- Arithmetic Operations and Numeric Processing
- Chapter 6: Further Reading -- Arithmetic Operations and Numeric Processing
Part II: Control Flow and Program Logic
- Part II: Control Flow and Program Logic
- Chapter 7: Conditional Logic -- IF, EVALUATE, and Condition Names
-
Chapter 8: Iteration -- The PERFORM Statement in All Its Forms
- Chapter 8 Exercises: Iteration -- The PERFORM Statement
- Chapter 8 Quiz: Iteration -- The PERFORM Statement
- Case Study 1: Control Break Reporting at State Revenue Department
- Case Study 2: Amortization Schedule Generator
- Chapter 8: Iteration -- The PERFORM Statement in All Its Forms -- Key Takeaways
- Chapter 8: Iteration -- The PERFORM Statement in All Its Forms -- Further Reading
-
Chapter 9: String Handling and Character Manipulation
- Chapter 9 Exercises: String Handling and Character Manipulation
- Chapter 9 Quiz: String Handling and Character Manipulation
- Case Study 1: Parsing Bank Transaction Descriptions at Meridian National Bank
- Case Study 2: Name and Address Standardization at Heritage Life Insurance
- Chapter 9: String Handling and Character Manipulation -- Key Takeaways
- Chapter 9: String Handling and Character Manipulation -- Further Reading
-
Chapter 10: Tables and Arrays -- OCCURS, SEARCH, and Multi-Dimensional Data
- Chapter 10 Exercises: Tables and Arrays
- Chapter 10 Quiz: Tables and Arrays
- Case Study 1: Branch Performance Dashboard at Evergreen Federal Credit Union
- Case Study 2: Interest Rate Table Lookup at Heartland Mortgage Corporation
- Chapter 10: Tables and Arrays -- Key Takeaways
- Chapter 10: Tables and Arrays -- Further Reading
Part III: File Processing and Data Management
- Part III: File Processing and Data Management
-
Chapter 11: Sequential File Processing
- Chapter 11 Exercises: Sequential File Processing
- Chapter 11 Quiz: Sequential File Processing
- Case Study 1: Daily Transaction Processing at Pioneer National Bank
- Case Study 2: Master File Update from Transaction File at Consolidated Trust Bank
- Chapter 11: Sequential File Processing -- Key Takeaways
- Chapter 11: Sequential File Processing -- Further Reading
-
Chapter 12: Indexed File Processing (VSAM KSDS)
- Chapter 12 Exercises: Indexed File Processing (VSAM KSDS)
- Chapter 12 Quiz: Indexed File Processing (VSAM KSDS)
- Case Study 1: Customer Account Lookup System at Atlantic Commerce Bank
- Case Study 2: Online Account Balance Inquiry at Summit Federal Savings
- Chapter 12: Indexed File Processing (VSAM KSDS) -- Key Takeaways
- Chapter 12: Indexed File Processing (VSAM KSDS) -- Further Reading
-
Chapter 13: Relative File Processing and Advanced File Techniques
- Chapter 13 Exercises: Relative File Processing and Advanced File Techniques
- Chapter 13 Quiz: Relative File Processing and Advanced File Techniques
- Case Study 1: ATM Transaction Log Processing
- Case Study 2: Hash-Based Account Lookup
- Chapter 13: Relative File Processing and Advanced File Techniques -- Key Takeaways
- Chapter 13: Further Reading
- Chapter 14: Sort and Merge Operations
- Chapter 15: Report Writer Module
-
Chapter 16: Declaratives and Exception Handling
- Chapter 16 Exercises: Declaratives and Exception Handling
- Chapter 16 Quiz: Declaratives and Exception Handling
- Case Study 1: Resilient Batch Processing with Comprehensive Error Handling
- Case Study 2: Financial Data Validation Framework
- Chapter 16: Declaratives and Exception Handling -- Key Takeaways
- Chapter 16: Further Reading
Part IV: Modular Programming and Code Organization
- Part IV: Modular Programming and Code Organization
-
Chapter 17: Subprograms and the CALL Statement
- Chapter 17 Exercises: Subprograms and the CALL Statement
- Chapter 17 Quiz: Subprograms and the CALL Statement
- Case Study 1: Building a Reusable Date Validation Library
- Case Study 2: Modular Transaction Processing System
- Chapter 17: Subprograms and the CALL Statement -- Key Takeaways
- Chapter 17: Further Reading
-
Chapter 18: COPY, REPLACE, and Copybook Management
- Chapter 18 Exercises: COPY, REPLACE, and Copybook Management
- Chapter 18 Quiz: COPY, REPLACE, and Copybook Management
- Case Study 1: Enterprise Copybook Library for a Banking System
- Case Study 2: Copybook Versioning and Migration
- Chapter 18: COPY, REPLACE, and Copybook Management -- Key Takeaways
- Chapter 18: COPY, REPLACE, and Copybook Management -- Further Reading
-
Chapter 19: Intrinsic Functions Reference
- Chapter 19 Exercises: Intrinsic Functions Reference
- Chapter 19 Quiz: Intrinsic Functions Reference
- Case Study 1: Financial Date Processing Utility
- Case Study 2: Data Quality Assessment Tool
- Chapter 19: Intrinsic Functions Reference -- Key Takeaways
- Chapter 19: Intrinsic Functions Reference -- Further Reading
-
Chapter 20: Debugging Techniques and Tools
- Chapter 20 Exercises: Debugging Techniques and Tools
- Chapter 20 Quiz: Debugging Techniques and Tools
- Case Study 1: Diagnosing a Production Abend
- Case Study 2: Debugging a Complex Batch Balancing Problem
- Chapter 20: Debugging Techniques and Tools -- Key Takeaways
- Chapter 20: Debugging Techniques and Tools -- Further Reading
-
Chapter 21: COBOL Coding Standards and Best Practices
- Chapter 21 Exercises: COBOL Coding Standards and Best Practices
- Chapter 21 Quiz: COBOL Coding Standards and Best Practices
- Case Study: Standardizing a Legacy Codebase at a Regional Bank
- Case Study: Code Review Process at a Financial Services Firm
- Chapter 21: COBOL Coding Standards and Best Practices -- Key Takeaways
- Chapter 21: COBOL Coding Standards and Best Practices -- Further Reading
Part V: Enterprise Data Access
- Part V: Enterprise Data Access
-
Chapter 22: Embedded SQL and DB2 Fundamentals
- Chapter 22 Exercises: Embedded SQL and DB2 Fundamentals
- Chapter 22 Quiz: Embedded SQL and DB2 Fundamentals
- Case Study: Migrating from VSAM to DB2 at a Credit Union
- Case Study: Building a Real-Time Account Inquiry System with DB2
- Chapter 22: Embedded SQL and DB2 Fundamentals -- Key Takeaways
- Chapter 22: Embedded SQL and DB2 Fundamentals -- Further Reading
- Chapter 23: Advanced DB2 Programming
-
Chapter 24: CICS Transaction Processing Fundamentals
- Chapter 24 Exercises: CICS Transaction Processing Fundamentals
- Chapter 24 Quiz: CICS Transaction Processing Fundamentals
- Case Study 1: Building an Account Inquiry Transaction
- Case Study 2: Teller Transaction Entry Screen
- Chapter 24: CICS Transaction Processing Fundamentals -- Key Takeaways
- Chapter 24: CICS Transaction Processing Fundamentals -- Further Reading
-
Chapter 25: Advanced CICS Programming
- Chapter 25 Exercises: Advanced CICS Programming
- Chapter 25 Quiz: Advanced CICS Programming
- Case Study 1: Multi-Screen Account Management Application
- Case Study 2: CICS-to-Web Service Bridge
- Chapter 25: Advanced CICS Programming -- Key Takeaways
- Chapter 25: Advanced CICS Programming -- Further Reading
-
Chapter 26: IMS Database and Transaction Management
- Chapter 26 Exercises: IMS Database and Transaction Management
- Chapter 26 Quiz: IMS Database and Transaction Management
- Case Study 1: Customer Account Hierarchy in IMS
- Case Study 2: IMS Batch Update for Account Maintenance
- Chapter 26: Key Takeaways - IMS Database and Transaction Management
- Chapter 26: Further Reading - IMS Database and Transaction Management
Part VI: Mainframe Environment and Batch Processing
- Part VI: Mainframe Environment and Batch Processing
-
Chapter 27: JCL Essentials for COBOL Programmers
- Chapter 27 Exercises: JCL Essentials for COBOL Programmers
- Chapter 27 Quiz: JCL Essentials for COBOL Programmers
- Case Study 1: End-of-Day Batch Job Stream
- Case Study 2: Production JCL Standards and Error Recovery
- Chapter 27: Key Takeaways - JCL Essentials for COBOL Programmers
- Chapter 27: Further Reading - JCL Essentials for COBOL Programmers
-
Chapter 28: Batch Processing Patterns and Design
- Chapter 28 Exercises: Batch Processing Patterns and Design
- Chapter 28 Quiz: Batch Processing Patterns and Design
- Case Study 1: Monthly Statement Generation Batch System
- Case Study 2: Batch Reconciliation and Exception Processing
- Chapter 28: Key Takeaways - Batch Processing Patterns and Design
- Chapter 28: Further Reading - Batch Processing Patterns and Design
-
Chapter 29: Mainframe Utilities for COBOL Developers
- Chapter 29: Exercises – Mainframe Utilities for COBOL Developers
- Chapter 29: Quiz – Mainframe Utilities for COBOL Developers
- Case Study 1: Setting Up a VSAM Environment for a New Banking Application
- Case Study 2: DFSORT for Transaction File Processing
- Chapter 29: Key Takeaways - Mainframe Utilities for COBOL Developers
- Chapter 29: Further Reading - Mainframe Utilities for COBOL Developers
-
Chapter 30: z/OS Dataset Concepts and Storage Management
- Chapter 30: Exercises – z/OS Dataset Concepts and Storage Management
- Chapter 30: Quiz – z/OS Dataset Concepts and Storage Management
- Case Study 1: Designing the Dataset Architecture for a Banking System
- Case Study 2: GDG Management for Daily Batch Processing
- Chapter 30: Key Takeaways - z/OS Dataset Concepts and Storage Management
- Chapter 30: Further Reading - z/OS Dataset Concepts and Storage Management
-
Chapter 31: COBOL and the z/OS Security Model
- Chapter 31: Exercises – COBOL and the z/OS Security Model
- Chapter 31: Quiz – COBOL and the z/OS Security Model
- Case Study 1: Implementing Security for a Banking Application
- Case Study 2: SOX Compliance Audit Trail System
- Chapter 31: Key Takeaways - COBOL and the z/OS Security Model
- Chapter 31: Further Reading - COBOL and the z/OS Security Model
-
Chapter 32: Performance Tuning for COBOL Programs
- Chapter 32: Exercises – Performance Tuning for COBOL Programs
- Chapter 32: Quiz – Performance Tuning for COBOL Programs
- Case Study 1: Optimizing a Slow End-of-Day Batch Cycle
- Case Study 2: CICS Transaction Response Time Improvement
- Chapter 32: Key Takeaways - Performance Tuning for COBOL Programs
- Chapter 32: Further Reading - Performance Tuning for COBOL Programs
Part VII: COBOL in Financial Systems
- Part VII: COBOL in Financial Systems
-
Chapter 33: Financial Calculations in COBOL
- Chapter 33 Exercises: Financial Calculations in COBOL
- Chapter 33 Quiz: Financial Calculations in COBOL
- Case Study 1: Mortgage Payment Calculator
- Case Study 2: Certificate of Deposit Interest Accrual System
- Chapter 33: Financial Calculations in COBOL -- Key Takeaways
- Chapter 33: Financial Calculations in COBOL -- Further Reading
-
Chapter 34: Banking and Payment Systems in COBOL
- Chapter 34 Exercises: Banking and Payment Systems
- Chapter 34 Quiz: Banking and Payment Systems
- Case Study 1: ACH Payment Processing System
- Case Study 2: Real-Time Wire Transfer Authorization
- Chapter 34: Banking and Payment Systems in COBOL -- Key Takeaways
- Chapter 34: Banking and Payment Systems in COBOL -- Further Reading
-
Chapter 35: Insurance and Government Systems
- Chapter 35 Exercises: Insurance and Government Systems
- Chapter 35 Quiz: Insurance and Government Systems
- Case Study 1: Auto Insurance Premium Rating Engine
- Case Study 2: Social Security Benefits Calculation
- Chapter 35: Insurance and Government Systems -- Key Takeaways
- Chapter 35: Insurance and Government Systems -- Further Reading
-
Chapter 36: Accounting and General Ledger Systems
- Chapter 36 Exercises: Accounting and General Ledger Systems
- Chapter 36 Quiz: Accounting and General Ledger Systems
- Case Study 1: General Ledger Posting System
- Case Study 2: Month-End Close Automation
- Chapter 36: Accounting and General Ledger Systems -- Key Takeaways
- Chapter 36: Accounting and General Ledger Systems -- Further Reading
Part VIII: Modern COBOL and System Evolution
- Part VIII: Modern COBOL and System Evolution
- Chapter 37: Object-Oriented COBOL
-
Chapter 38: Modern COBOL Integrations -- APIs, Web Services, and Microservices
- Chapter 38 Exercises: Modern COBOL Integrations
- Chapter 38 Quiz: Modern COBOL Integrations
- Case Study 1: REST API for Account Balance Inquiry
- Case Study 2: Message Queue Integration for Real-Time Notifications
- Chapter 38: Modern COBOL Integrations -- Key Takeaways
- Chapter 38: Modern COBOL Integrations -- Further Reading
-
Chapter 39: Legacy System Maintenance and Modernization
- Chapter 39 Exercises: Legacy System Maintenance and Modernization
- Chapter 39 Quiz: Legacy System Maintenance and Modernization
- Case Study: Modernizing a 30-Year-Old Insurance Claims System
- Case Study: COBOL-to-Cloud Migration at a Government Agency
- Chapter 39: Legacy System Maintenance and Modernization -- Key Takeaways
- Chapter 39: Legacy System Maintenance and Modernization -- Further Reading
-
Chapter 40: Testing, Quality Assurance, and Deployment
- Chapter 40 Exercises: Testing, Quality Assurance, and Deployment
- Chapter 40 Quiz: Testing, Quality Assurance, and Deployment
- Case Study: Implementing Automated Testing for a Banking Platform
- Case Study: Zero-Downtime Deployment for Mission-Critical COBOL Systems
- Chapter 40: Testing, Quality Assurance, and Deployment -- Key Takeaways
- Chapter 40: Testing, Quality Assurance, and Deployment -- Further Reading
Part IX: Capstone Projects and Career Path
- Part IX: Capstone Projects and Career Path
-
Chapter 41: Capstone Project -- Building a Complete Banking Application
- Chapter 41 Exercises: Capstone Project -- Building a Complete Banking Application
- Chapter 41 Quiz: Capstone Project -- Building a Complete Banking Application
- Case Study 1: Scaling the Banking Application for Multi-Branch Operation
- Case Study 2: Adding Fraud Detection to the Banking System
- Chapter 41: Capstone Project -- Key Takeaways
- Chapter 41: Capstone Project -- Further Reading
-
Chapter 42: COBOL Career Guide and the Path Forward
- Chapter 42 Exercises: COBOL Career Guide and the Path Forward
- Chapter 42 Quiz: COBOL Career Guide and the Path Forward
- Case Study 1: From Java Developer to Mainframe Specialist
- Case Study 2: Navigating a COBOL Modernization Career
- Chapter 42: COBOL Career Guide -- Key Takeaways
- Chapter 42: COBOL Career Guide -- Further Reading
Appendices
- Appendix A: COBOL Reserved Words
- Appendix B: File Status Codes
- Appendix C: COBOL Language Quick Reference
- Appendix D: JCL Quick Reference
- Appendix E: Glossary
- Appendix F: PICTURE Clause Reference
- Appendix G: Answers to Selected Exercises
- Appendix H: Annotated Bibliography
- Appendix I: ABEND Code Reference
- Appendix J: EBCDIC and ASCII Reference
- Appendix K: Compiler Options Reference
- Appendix L: Setting Up GnuCOBOL
Learning Prediction Markets
Frontmatter
Part I: Foundations
- Part I: Foundations
-
Chapter 1 — What Are Prediction Markets?
- Exercises — Chapter 1: What Are Prediction Markets?
- Quiz — Chapter 1: What Are Prediction Markets?
- Case Study 1: Tracking the 2024 US Presidential Election on Polymarket
- Case Study 2: Corporate Prediction Markets at TechCorp
- Key Takeaways — Chapter 1: What Are Prediction Markets?
- Further Reading — Chapter 1: What Are Prediction Markets?
- Chapter 2: A Brief History of Prediction Markets
- Chapter 3: Probability Fundamentals
- Chapter 4: Contracts, Payoffs, and Market Mechanics
- Chapter 5: The Modern Platform Landscape
- Chapter 6: Setting Up Your Python Toolkit
Part II: Market Microstructure and Pricing
- Part II: Market Microstructure & Pricing
- Chapter 7: Order Books and the Limit Order Market
- Chapter 8: Automated Market Makers
-
Chapter 9: Scoring Rules and Proper Incentives
- Chapter 9 Exercises: Scoring Rules and Proper Incentives
- Chapter 9 Quiz: Scoring Rules and Proper Incentives
- Case Study 1: Evaluating Forecaster Performance in a Prediction Tournament
- Case Study 2: Designing a Scoring System for a Corporate Forecasting Program
- Chapter 9 Key Takeaways: Scoring Rules and Proper Incentives
- Chapter 9 Further Reading: Scoring Rules and Proper Incentives
- Chapter 10: Bid-Ask Spreads, Transaction Costs, and Fees
-
Chapter 11: Information Aggregation Theory
- Chapter 11 Exercises: Information Aggregation Theory
- Chapter 11 Quiz: Information Aggregation Theory
- Case Study 1: Wisdom of Crowds Experiment — Simulating Information Aggregation
- Case Study 2: Did the Market Know? Analyzing Information Incorporation Speed
- Chapter 11: Key Takeaways
- Chapter 11: Further Reading
-
Chapter 12: Calibration — Measuring Forecast Quality
- Chapter 12 Exercises: Calibration — Measuring Forecast Quality
- Chapter 12 Quiz: Calibration — Measuring Forecast Quality
- Case Study 1: How Calibrated Is Polymarket? A Large-Scale Analysis
- Case Study 2: Building a Personal Forecasting Calibration Tracker
- Chapter 12 Key Takeaways
- Chapter 12 Further Reading
Part III: Trading Strategies and Edge
- Part III: Trading Strategies & Edge
-
Chapter 13: Finding and Quantifying Your Edge
- Chapter 13 Exercises: Finding and Quantifying Your Edge
- Chapter 13 Quiz: Finding and Quantifying Your Edge
- Case Study 1: From Gut Feeling to Quantified Edge: A Trader's Journey
- Case Study 2: Edge Detection Across 500 Markets
- Chapter 13 Key Takeaways: Finding and Quantifying Your Edge
- Chapter 13 Further Reading
-
Chapter 14: Binary Outcome Trading Strategies
- Chapter 14 Exercises: Binary Outcome Trading Strategies
- Chapter 14 Quiz: Binary Outcome Trading Strategies
- Case Study 1: Trading a Presidential Election — Strategy Comparison
- Case Study 2: Closing the Gap — Profiting from Stale Markets
- Chapter 14 Key Takeaways: Binary Outcome Trading Strategies
- Chapter 14 Further Reading: Binary Outcome Trading Strategies
- Chapter 15: Multi-Outcome and Scalar Market Strategies
- Chapter 16: Arbitrage in Prediction Markets
-
Chapter 17: Portfolio Construction and Risk Management
- Chapter 17 Exercises: Portfolio Construction and Risk Management
- Chapter 17 Quiz: Portfolio Construction and Risk Management
- Case Study 1: Building a Diversified Prediction Market Portfolio
- Case Study 2: Stress Testing Through a Black Swan Event
- Chapter 17 Key Takeaways: Portfolio Construction and Risk Management
- Chapter 17 Further Reading: Portfolio Construction and Risk Management
- Chapter 18: Behavioral Biases and Market Inefficiencies
- Chapter 19: Live Trading, Execution, and Operational Discipline
Part IV: Data Science and Modeling
- Part IV: Data Science & Modeling
- Chapter 20: Data Collection and Web Scraping
- Chapter 21: Exploratory Data Analysis of Market Data
- Chapter 22: Statistical Modeling — Regression and Time Series
- Chapter 23: Machine Learning for Probability Estimation
- Chapter 24: NLP and Sentiment Analysis
- Chapter 25: Ensemble Methods and Model Combination
- Chapter 26: Backtesting Prediction Market Strategies
- Chapter 27: Feature Stores, Pipelines, and MLOps
Part V: Market Design and Mechanism Engineering
- Part V: Market Design & Mechanism Engineering
- Chapter 28: Principles of Prediction Market Design
-
Chapter 29: Liquidity Provision and Market Making
- Exercises: Liquidity Provision and Market Making
- Quiz: Liquidity Provision and Market Making
- Case Study 1: Building a Profitable Market Making Strategy Across 50 Markets
- Case Study 2: Adverse Selection in Political Markets
- Key Takeaways: Liquidity Provision and Market Making
- Further Reading: Liquidity Provision and Market Making
- Chapter 30: Combinatorial Prediction Markets
- Chapter 31: Decision Markets and Futarchy
-
Chapter 32: Building a Prediction Market Platform from Scratch
- Chapter 32: Exercises — Building a Platform from Scratch
- Chapter 32: Quiz — Building a Platform from Scratch
- Case Study 1: Building a Binary Options Prediction Market for Company Internal Forecasting
- Case Study 2: Migrating from Order Book to AMM — A Platform Architecture Decision
- Chapter 32: Key Takeaways — Building a Platform from Scratch
- Chapter 32: Further Reading — Building a Platform from Scratch
- Chapter 33: Scaling, Performance, and Operations
Part VI: Blockchain and Decentralized Markets
Part VII: Regulation, Ethics, and the Future
- Part VII: Regulation, Ethics & the Future
-
Chapter 38: The Regulatory Landscape
- Chapter 38 Exercises: The Regulatory Landscape
- Chapter 38 Quiz: The Regulatory Landscape
- Case Study 1: Kalshi's Path to CFTC Approval
- Case Study 2: CFTC vs Polymarket — Regulatory Compliance Case Analysis
- Chapter 38 Key Takeaways: The Regulatory Landscape
- Chapter 38 Further Reading: The Regulatory Landscape
-
Chapter 39: Ethics of Prediction Markets
- Chapter 39 Exercises: Ethics of Prediction Markets
- Chapter 39 Quiz: Ethics of Prediction Markets
- Case Study 1: The Ethics of Assassination Markets and Where to Draw the Line
- Case Study 2: Addressing Inequality in Market Access
- Chapter 39 Key Takeaways: Ethics of Prediction Markets
- Chapter 39 Further Reading: Ethics of Prediction Markets
-
Chapter 40: Real-World Applications
- Exercises: Real-World Applications
- Quiz: Real-World Applications
- Case Study 1: Google's Internal Prediction Markets — A Decade of Corporate Forecasting
- Case Study 2: COVID-19 Pandemic Prediction Markets — Real-Time Tracking Performance
- Key Takeaways: Real-World Applications
- Further Reading: Real-World Applications
-
Chapter 41: The Frontier — Research Directions
- Chapter 41: Exercises
- Quiz: The Frontier — Research Directions
- Case Study 1: GPT-4 as a Forecaster — Benchmarking LLM Predictions Against Human Superforecasters
- Case Study 2: Privacy-Preserving Prediction Markets Using Secure Computation
- Key Takeaways: The Frontier — Research Directions
- Further Reading: The Frontier — Research Directions
-
Chapter 42: Capstone — Building a Complete Trading System
- Chapter 42 Exercises: Extending the Capstone Trading System
- Chapter 42 Quiz: Comprehensive Review
- Case Study 1: Building a Polymarket Trading Bot — From Research to Production
- Case Study 2: Multi-Platform Arbitrage System — Architecture and Lessons Learned
- Chapter 42 Key Takeaways
- Chapter 42 Further Reading
Metacognition
Front Matter
The Science of Your Brain
- Part I: The Science of Your Brain
- Chapter 1: Your Brain Is Not Broken
- Chapter 2: How Memory Actually Works
- Chapter 3: The Forgetting Curve and the Spacing Effect
-
Chapter 4: Attention and Focus
- Chapter 4 Exercises
- Chapter 4 Self-Assessment Quiz
- Case Study 1: Marcus vs. the Notification — A Day in the Life of a Distracted Learner
- Case Study 2: The Surgeon, the Air Traffic Controller, and the Student — When Divided Attention Works (and When It Kills)
- Key Takeaways — Chapter 4
- Further Reading — Chapter 4
- Chapter 5: Cognitive Load
- Chapter 6: Sleep, Exercise, and the Biology of Learning
What Actually Works
The Self-Regulation Engine
Learning in Context
The Long Game
Capstone
Appendices
- Appendix A: Research Methods Primer
- Appendix B: Key Studies Summary
- Appendix C: Templates and Worksheets
- Appendix D: Quick-Reference Cards
- Appendix E: Resource Directory
- Appendix F: FAQ and Troubleshooting
- Appendix G: Glossary
- Appendix H: Index
- Appendix I: Answers to Selected Exercises
- Appendix J: Bibliography
Misinformation, Media Literacy, and Critical Thinking in the Digital Age
Front Matter
Part I: Foundations of Information and Epistemology
- Part I: Foundations of Information and Epistemology
-
Chapter 1: What Is Truth? Epistemological Foundations
- Chapter 1 Exercises: What Is Truth? Epistemological Foundations
- Chapter 1 Quiz: What Is Truth? Epistemological Foundations
- Case Study 1.1: The Pizzagate Conspiracy and Epistemic Failure
- Case Study 1.2: Flat Earth Belief in the Age of the Internet
- Chapter 1 Key Takeaways: What Is Truth? Epistemological Foundations
- Chapter 1 Further Reading: Annotated Bibliography
-
Chapter 2: The History of Misinformation — From Rumor to the Internet Age
- Chapter 2 Exercises: The History of Misinformation — From Rumor to the Internet Age
- Chapter 2 Quiz: The History of Misinformation
- Case Study 2.1: The War of the Worlds Broadcast (1938) — Myth vs. Reality
- Case Study 2.2: The Protocols of the Elders of Zion — A Century of Dangerous Forgery
- Chapter 2 Key Takeaways: The History of Misinformation — From Rumor to the Internet Age
- Chapter 2 Further Reading: Annotated Bibliography
-
Chapter 3: How the Human Mind Processes Information
- Chapter 3 Exercises: How the Human Mind Processes Information
- Chapter 3 Quiz: How the Human Mind Processes Information
- Case Study 3.1: The Misinformation Effect — Loftus's Eyewitness Memory Studies
- Case Study 3.2: The Illusory Truth Effect in Political Fact-Checking
- Chapter 3 Key Takeaways: How the Human Mind Processes Information
- Chapter 3 Further Reading and Resources
-
Chapter 4: Cognitive Biases and Heuristics That Make Us Vulnerable
- Chapter 4 Exercises: Cognitive Biases and Heuristics That Make Us Vulnerable
- Chapter 4 Quiz: Cognitive Biases and Heuristics That Make Us Vulnerable
- Case Study 4.1: The Backfire Effect — Does Correcting Misinformation Always Help?
- Case Study 4.2: Dunning-Kruger and COVID-19 Misinformation — Who Spreads It and Why
- Chapter 4 Key Takeaways: Cognitive Biases and Heuristics That Make Us Vulnerable
- Chapter 4 Further Reading and Resources
-
Chapter 5: The Social Psychology of Belief and Group Conformity
- Chapter 5 Exercises: The Social Psychology of Belief and Group Conformity
- Chapter 5 Quiz: The Social Psychology of Belief and Group Conformity
- Case Study 5.1: QAnon as a Social Belief System — Group Dynamics and Radicalization
- Case Study 5.2: The Social Spread of Anti-Vaccine Beliefs in Online Parent Communities
- Chapter 5 Key Takeaways: The Social Psychology of Belief and Group Conformity
- Chapter 5 Further Reading: The Social Psychology of Belief and Group Conformity
Part II: The Modern Information Ecosystem
- Part II: The Modern Information Ecosystem
-
Chapter 6: The Evolution of Traditional Media
- Chapter 6 Exercises: The Evolution of Traditional Media
- Chapter 6 Quiz: The Evolution of Traditional Media
- Case Study 6.1: The New York Times and Weapons of Mass Destruction — A Journalism Failure
- Case Study 6.2: Local News Deserts — How Media Consolidation Creates Information Vacuums
- Chapter 6 Key Takeaways: The Evolution of Traditional Media
- Chapter 6 Further Reading: The Evolution of Traditional Media
-
Chapter 7: The Rise of Digital and Social Media
- Chapter 7 Exercises: The Rise of Digital and Social Media
- Chapter 7 Quiz: The Rise of Digital and Social Media
- Case Study 7.1: The Boston Marathon Bombing and Reddit Vigilantism
- Case Study 7.2: WhatsApp Misinformation in India and Brazil — When Private Virality Kills
- Chapter 7 Key Takeaways: The Rise of Digital and Social Media
- Chapter 7 Further Reading: The Rise of Digital and Social Media
-
Chapter 8: Platform Algorithms and the Attention Economy
- Chapter 8 Exercises: Platform Algorithms and the Attention Economy
- Chapter 8 Quiz: Platform Algorithms and the Attention Economy
- Case Study 8.1: Facebook's 2021 Internal Research Disclosures — The Frances Haugen Papers
- Case Study 8.2: YouTube's Recommendation Algorithm and Radicalization Pathways
- Chapter 8 Key Takeaways: Platform Algorithms and the Attention Economy
- Chapter 8 Further Reading: Platform Algorithms and the Attention Economy
-
Chapter 9: Filter Bubbles, Echo Chambers, and Algorithmic Curation
- Chapter 9 Exercises: Filter Bubbles, Echo Chambers, and Algorithmic Curation
- Chapter 9 Quiz: Filter Bubbles, Echo Chambers, and Algorithmic Curation
- Case Study 9.1: The 2016 US Election and the Filter Bubble Hypothesis — Examining the Evidence
- Case Study 9.2: Reddit's Community Structure — Subreddit Segregation and Cross-Community Information Flow
- Chapter 9 Key Takeaways: Filter Bubbles, Echo Chambers, and Algorithmic Curation
- Chapter 9 Further Reading: Filter Bubbles, Echo Chambers, and Algorithmic Curation
-
Chapter 10: The Business Model of Outrage — Engagement Over Truth
- Chapter 10 Exercises: The Business Model of Outrage — Engagement Over Truth
- Chapter 10 Quiz: The Business Model of Outrage — Engagement Over Truth
- Case Study 10.1: The Macedonian Fake News Farms and the 2016 US Election
- Case Study 10.2: InfoWars — The Business Model of Conspiracy Monetization
- Chapter 10 Key Takeaways: The Business Model of Outrage — Engagement Over Truth
- Chapter 10 Further Reading: The Business Model of Outrage — Engagement Over Truth
Part III: Types and Mechanisms of Misinformation
- Part III: Types and Mechanisms of Misinformation
-
Chapter 11: Taxonomy — Disinformation, Misinformation, and Malinformation
- Chapter 11 Exercises: Taxonomy of Information Disorder
- Chapter 11 Quiz: Taxonomy of Information Disorder
- Case Study 11.1: The "Plandemic" Video — A Taxonomy Analysis
- Case Study 11.2: Operation Secondary Infektion — Russian Disinformation Across 30 Countries
- Chapter 11 Key Takeaways: Taxonomy of Information Disorder
- Chapter 11 Further Reading: Taxonomy of Information Disorder
-
Chapter 12: Propaganda — Historical Techniques and Modern Applications
- Chapter 12 Exercises: Propaganda Techniques
- Chapter 12 Quiz: Propaganda Techniques
- Case Study 12.1: The Nazi Propaganda Machine — Goebbels's Techniques in Detail
- Case Study 12.2: Cambridge Analytica — Data-Driven Propaganda and the 2016 Elections
- Chapter 12 Key Takeaways: Propaganda Techniques
- Chapter 12 Further Reading: Propaganda Techniques
-
Chapter 13: Conspiracy Theories — Origins, Appeal, and Spread
- Chapter 13 Exercises: Conspiracy Theories — Origins, Appeal, and Spread
- Chapter 13 Quiz: Conspiracy Theories — Origins, Appeal, and Spread
- Case Study 13.1: QAnon — The World's Largest Conspiracy Theory
- Case Study 13.2: The Anti-Vaccination Movement — From Wakefield to COVID
- Chapter 13 Key Takeaways: Conspiracy Theories
- Chapter 13 Further Reading: Conspiracy Theories
-
Chapter 14: Health Misinformation — From Snake Oil to Anti-Vax
- Chapter 14 Exercises: Health Misinformation — From Snake Oil to Anti-Vax
- Chapter 14 Quiz: Health Misinformation — From Snake Oil to Anti-Vax
- Case Study 14.1: The MMR-Autism Fraud — How One Paper Cost Thousands of Lives
- Case Study 14.2: COVID-19 Infodemic — Real-Time Misinformation During a Pandemic
- Chapter 14 Key Takeaways: Health Misinformation
- Chapter 14 Further Reading: Health Misinformation
-
Chapter 15: Political Misinformation and Election Integrity
- Chapter 15 Exercises: Political Misinformation and Election Integrity
- Chapter 15 Quiz: Political Misinformation and Election Integrity
- Case Study 15-1: The Internet Research Agency's 2016 Operation — Scale, Tactics, and Impact
- Case Study 15-2: Brazil's WhatsApp Election — Misinformation in Bolsonaro's 2018 Campaign
- Chapter 15: Key Takeaways — Political Misinformation and Election Integrity
- Chapter 15: Further Reading — Political Misinformation and Election Integrity
-
Chapter 16: Scientific Misinformation — Climate, Vaccines, and GMOs
- Chapter 16 Exercises: Scientific Misinformation — Climate, Vaccines, and GMOs
- Chapter 16 Quiz: Scientific Misinformation — Climate, Vaccines, and GMOs
- Case Study 16-1: Manufacturing Climate Doubt — The Tobacco Strategy Applied to Science
- Case Study 16-2: The COVID-19 Vaccine Information War — From Lab Leak to mRNA Myths
- Chapter 16: Key Takeaways — Scientific Misinformation: Climate, Vaccines, and GMOs
- Chapter 16: Further Reading — Scientific Misinformation: Climate, Vaccines, and GMOs
-
Chapter 17: Financial Misinformation and Market Manipulation
- Chapter 17: Exercises — Financial Misinformation and Market Manipulation
- Chapter 17: Quiz — Financial Misinformation and Market Manipulation
- Case Study 17-1: GameStop and r/WallStreetBets — Democratization or Manipulation?
- Case Study 17-2: The FTX Collapse — Fraud, Misinformation, and Celebrity Endorsement
- Chapter 17: Key Takeaways — Financial Misinformation and Market Manipulation
- Chapter 17: Further Reading — Financial Misinformation and Market Manipulation
-
Chapter 18: Deepfakes, Synthetic Media, and Emerging Threats
- Chapter 18: Exercises — Deepfakes, Synthetic Media, and Emerging Threats
- Chapter 18: Quiz — Deepfakes, Synthetic Media, and Emerging Threats
- Case Study 18-1: The Zelensky Deepfake Surrender Video (March 2022)
- Case Study 18-2: Non-Consensual Intimate Deepfakes — Scale, Harm, and Legal Responses
- Chapter 18: Key Takeaways — Deepfakes, Synthetic Media, and Emerging Threats
- Chapter 18: Further Reading — Deepfakes, Synthetic Media, and Emerging Threats
Part IV: Detection and Analysis
- Part IV: Detection and Analysis
-
Chapter 19: Fact-Checking: Methods, Organizations, and Limitations
- Chapter 19 Exercises: Fact-Checking Methods, Organizations, and Limitations
- Chapter 19 Quiz: Fact-Checking Methods, Organizations, and Limitations
- Case Study 19.1: PolitiFact's Truth-O-Meter — Methodology, Critiques, and Impact
- Case Study 19.2: Community Notes — Can Crowdsourced Fact-Checking Scale?
- Chapter 19 Key Takeaways: Fact-Checking Methods, Organizations, and Limitations
- Chapter 19 Further Reading: Fact-Checking Methods, Organizations, and Limitations
-
Chapter 20: Source Evaluation and the SIFT Method
- Chapter 20 Exercises: Source Evaluation and the SIFT Method
- Chapter 20 Quiz: Source Evaluation and the SIFT Method
- Case Study 20.1: The Stanford History Education Group's SHEG Study — How Experts Evaluate Sources vs. How Students Do
- Case Study 20.2: Geolocating a War Photo — A Step-by-Step Verification Walkthrough
- Chapter 20 Key Takeaways: Source Evaluation and the SIFT Method
- Chapter 20 Further Reading: Source Evaluation and the SIFT Method
-
Chapter 21: Data Journalism and Statistical Literacy
- Chapter 21 Exercises: Data Journalism and Statistical Literacy
- Chapter 21 Quiz: Data Journalism and Statistical Literacy
- Case Study 21-1: How COVID-19 Statistics Were Misrepresented — Case-Fatality Rate vs. Infection-Fatality Rate
- Case Study 21-2: The Replication Crisis in Social Psychology — What It Means for Misinformation Research
- Chapter 21 Key Takeaways: Data Journalism and Statistical Literacy
- Chapter 21 Further Reading: Data Journalism and Statistical Literacy
-
Chapter 22: Natural Language Processing for Misinformation Detection
- Chapter 22 Exercises: Natural Language Processing for Misinformation Detection
- Chapter 22 Quiz: Natural Language Processing for Misinformation Detection
- Case Study 22-1: The LIAR Dataset — Building and Evaluating a Fake News Classifier
- Case Study 22-2: BERT for Fact Verification — Fine-Tuning on FEVER
- Chapter 22 Key Takeaways: Natural Language Processing for Misinformation Detection
- Chapter 22 Further Reading: Natural Language Processing for Misinformation Detection
-
Chapter 23: Network Analysis of Information Spread
- Chapter 23: Exercises — Network Analysis of Information Spread
- Chapter 23: Quiz — Network Analysis of Information Spread
- Case Study 23.1: Mapping the IRA Disinformation Network on Twitter
- Case Study 23.2: The Retweet Cascade — How False News Spreads Deeper than True News
- Chapter 23: Key Takeaways — Network Analysis of Information Spread
- Chapter 23: Further Reading — Network Analysis of Information Spread
-
Chapter 24: Computational Propaganda and Bot Detection
- Chapter 24: Exercises — Computational Propaganda and Bot Detection
- Chapter 24: Quiz — Computational Propaganda and Bot Detection
- Case Study 24.1: The Internet Research Agency on Twitter — A Data Analysis
- Case Study 24.2: China's 50 Cent Army and Domestic Opinion Manipulation
- Chapter 24: Key Takeaways — Computational Propaganda and Bot Detection
- Chapter 24: Further Reading — Computational Propaganda and Bot Detection
Part V: Critical Thinking and Media Literacy Skills
- Part V: Critical Thinking and Media Literacy Skills
-
Chapter 25: Logic, Argumentation, and Fallacy Recognition
- Chapter 25: Exercises — Logic, Argumentation, and Fallacy Recognition
- Chapter 25: Quiz — Logic, Argumentation, and Fallacy Recognition
- Case Study 25.1: The Climate Debate — Fallacy Analysis of Denial Arguments
- Case Study 25.2: The Gish Gallop in Practice — Analyzing a Misinformation Presentation
- Chapter 25: Key Takeaways — Logic, Argumentation, and Fallacy Recognition
- Chapter 25: Further Reading — Logic, Argumentation, and Fallacy Recognition
-
Chapter 26: Scientific Thinking and Evidence Evaluation
- Chapter 26: Exercises — Scientific Thinking and Evidence Evaluation
- Chapter 26: Quiz — Scientific Thinking and Evidence Evaluation
- Case Study 26.1: How Press Releases Became Fake Science News — The Case of Nutrition Research
- Case Study 26.2: The Social Priming Replication Failures — What the Replication Crisis Teaches Us
- Chapter 26: Key Takeaways — Scientific Thinking and Evidence Evaluation
- Chapter 26: Further Reading — Scientific Thinking and Evidence Evaluation
-
Chapter 27: Lateral Reading and Advanced Web Literacy
- Chapter 27 Exercises: Lateral Reading and Advanced Web Literacy
- Chapter 27 Quiz: Lateral Reading and Advanced Web Literacy
- Case Study 27-1: Geolocating a Conflict Photo — The Syria White Helmets Controversy
- Case Study 27-2: The Misattributed Einstein Quote — How False Quotes Spread and How to Catch Them
- Chapter 27 Key Takeaways: Lateral Reading and Advanced Web Literacy
- Chapter 27 Further Reading: Lateral Reading and Advanced Web Literacy
-
Chapter 28: Probabilistic Thinking and Uncertainty
- Chapter 28 Exercises: Probabilistic Thinking and Uncertainty
- Chapter 28 Quiz: Probabilistic Thinking and Uncertainty
- Case Study 28-1: Bayesian Reasoning and COVID-19 Testing — Understanding False Positives
- Case Study 28-2: Superforecasting and Political Uncertainty — What Tetlock's Research Teaches About Expert Prediction
- Chapter 28 Key Takeaways: Probabilistic Thinking and Uncertainty
- Chapter 28 Further Reading: Probabilistic Thinking and Uncertainty
-
Chapter 29: Media Literacy Frameworks: NAMLE, MIL, and Beyond
- Chapter 29: Exercises — Media Literacy Frameworks
- Chapter 29: Quiz — Media Literacy Frameworks
- Case Study 1: Finland's Media Literacy Education — A National Model
- Case Study 2: The News Literacy Project and Checkology — Evaluating a Scalable Program
- Chapter 29: Key Takeaways — Media Literacy Frameworks
- Chapter 29: Further Reading — Media Literacy Frameworks
Part VI: Political Dimensions
- Part VI: Political Dimensions
-
Chapter 30: Democracy, Polarization, and the Misinformation Crisis
- Chapter 30: Exercises — Democracy, Polarization, and the Misinformation Crisis
- Chapter 30: Quiz — Democracy, Polarization, and the Misinformation Crisis
- Case Study 1: Affective Polarization in the United States — Causes, Consequences, and Measurement
- Case Study 2: Brexit and the Information Environment — "Take Back Control" and the £350 Million Bus
- Chapter 30: Key Takeaways — Democracy, Polarization, and the Misinformation Crisis
- Chapter 30: Further Reading — Democracy, Polarization, and the Misinformation Crisis
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Chapter 31: State-Sponsored Disinformation and Information Warfare
- Chapter 31 Exercises: State-Sponsored Disinformation and Information Warfare
- Chapter 31 Quiz: State-Sponsored Disinformation and Information Warfare
- Case Study 1: The Internet Research Agency — Anatomy of a State-Sponsored Disinformation Operation
- Case Study 2: Operation INFEKTION — The Soviet AIDS Lab-Leak Disinformation Campaign
- Chapter 31 Key Takeaways: State-Sponsored Disinformation and Information Warfare
- Chapter 31 Further Reading: State-Sponsored Disinformation and Information Warfare
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Chapter 32: Election Interference: Case Studies and Countermeasures
- Chapter 32 Exercises: Election Interference — Case Studies and Countermeasures
- Chapter 32 Quiz: Election Interference — Case Studies and Countermeasures
- Case Study 1: The 2017 French Presidential Election — A Successful Defense Against Interference
- Case Study 2: Brazil's 2022 Election and the Bolsonaro Information Ecosystem
- Chapter 32 Key Takeaways: Election Interference — Case Studies and Countermeasures
- Chapter 32 Further Reading: Election Interference — Case Studies and Countermeasures
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Chapter 33: Policy Responses to Misinformation: Global Perspectives
- Chapter 33: Exercises — Policy Responses to Misinformation: Global Perspectives
- Chapter 33: Quiz — Policy Responses to Misinformation: Global Perspectives
- Case Study 33-1: The EU Digital Services Act — A New Framework for Platform Accountability
- Case Study 33-2: Singapore's POFMA — Anti-Fake-News Law or Censorship Tool?
- Chapter 33: Key Takeaways — Policy Responses to Misinformation: Global Perspectives
- Chapter 33: Further Reading — Policy Responses to Misinformation: Global Perspectives
Part VII: Countermeasures and Solutions
- Part VII: Countermeasures and Solutions
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Chapter 34: Platform Content Moderation — Policies, Challenges, Trade-offs
- Chapter 34: Exercises — Platform Content Moderation: Policies, Challenges, Trade-offs
- Chapter 34: Quiz — Platform Content Moderation: Policies, Challenges, Trade-offs
- Case Study 34-1: The Facebook Oversight Board's Trump Suspension Decision
- Case Study 34-2: Content Moderation Failures — The Rohingya Genocide and Facebook in Myanmar
- Chapter 34: Key Takeaways — Platform Content Moderation: Policies, Challenges, Trade-offs
- Chapter 34: Further Reading — Platform Content Moderation: Policies, Challenges, Trade-offs
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Chapter 35: Prebunking and Inoculation Theory
- Chapter 35 Exercises: Prebunking and Inoculation Theory
- Chapter 35 Quiz: Prebunking and Inoculation Theory
- Case Study 35.1: The Bad News Game — Designing and Evaluating a Misinformation Inoculation Game
- Case Study 35.2: Google's Prebunking Ad Campaigns in Central/Eastern Europe — A Field Experiment
- Chapter 35 Key Takeaways: Prebunking and Inoculation Theory
- Chapter 35 Further Reading: Prebunking and Inoculation Theory
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Chapter 36: Education-Based Interventions and Media Literacy Programs
- Chapter 36 Exercises: Education-Based Interventions and Media Literacy Programs
- Chapter 36 Quiz: Education-Based Interventions and Media Literacy Programs
- Case Study 36.1: Finland's Comprehensive Media Literacy Curriculum — A National Case Study
- Case Study 36.2: The News Literacy Project's Checkology Platform — Design, Evidence, and Scale
- Chapter 36 Key Takeaways: Education-Based Interventions and Media Literacy Programs
- Chapter 36 Further Reading: Education-Based Interventions and Media Literacy Programs
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Chapter 37: Regulatory Approaches: Free Speech vs. Safety
- Chapter 37: Exercises — Regulatory Approaches: Free Speech vs. Safety
- Chapter 37: Quiz — Regulatory Approaches: Free Speech vs. Safety
- Case Study 37-1: Dominion Voting Systems v. Fox News Network
- Case Study 37-2: Section 230 Reform Debates
- Chapter 37: Key Takeaways — Regulatory Approaches: Free Speech vs. Safety
- Chapter 37: Further Reading and Resources
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Chapter 38: Building Personal Resilience Against Misinformation
- Chapter 38: Exercises — Building Personal Resilience Against Misinformation
- Chapter 38: Quiz — Building Personal Resilience Against Misinformation
- Case Study 38-1: Motivational Interviewing for Vaccine Hesitancy
- Case Study 38-2: Family Conversations About QAnon
- Chapter 38: Key Takeaways — Building Personal Resilience Against Misinformation
- Chapter 38: Further Reading and Resources
Part VIII: Advanced Topics
- Part VIII: Advanced Topics
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Chapter 39: AI, Generative Models, and the Future of Synthetic Media
- Chapter 39 Exercises: AI, Generative Models, and the Future of Synthetic Media
- Chapter 39 Quiz: AI, Generative Models, and the Future of Synthetic Media
- Case Study 1: AI-Generated News Websites — The NewsGuard Audit
- Case Study 2: Deepfake Audio in the 2024 New Hampshire Primary — When AI Enters Elections
- Chapter 39 Key Takeaways: AI, Generative Models, and the Future of Synthetic Media
- Chapter 39 Further Reading: AI, Generative Models, and the Future of Synthetic Media
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Chapter 40: Global and Cross-Cultural Perspectives on Misinformation
- Chapter 40 Exercises: Global and Cross-Cultural Perspectives on Misinformation
- Chapter 40 Quiz: Global and Cross-Cultural Perspectives on Misinformation
- Case Study 1: WhatsApp as a Misinformation Vector in India — The 2019 General Election
- Case Study 2: Africa Check — Fact-Checking in Low-Resource Environments
- Chapter 40 Key Takeaways: Global and Cross-Cultural Perspectives on Misinformation
- Chapter 40 Further Reading: Global and Cross-Cultural Perspectives on Misinformation
- Chapter 41: Ethics of Truth, Deception, and the Epistemic Commons
Part IX: Capstone Projects
Appendices
Professional Football Analytics and Visualization
Front Matter
Part I: Foundations of Football Analytics
Part II: Player Performance Analytics
Part III: Team-Level Analytics
Part IV: Predictive Modeling
Part V: Advanced Topics
Part VI: Applications and Integration
Part VII: Capstone Projects
The Physics of Music & the Music of Physics
Part I: Sound & Vibration — The Physical Foundation
- Part I: Sound & Vibration — The Physical Foundation
- Chapter 1: What Is Sound? — Waves, Pressure, and the Physics of Hearing
- Chapter 2: The Vibrating String — From Guitar to Quantum Mechanics
- Chapter 3: Resonance & Standing Waves — Why Some Sounds Endure
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Chapter 4: The Acoustics of Space — How Environments Shape What We Hear
- Chapter 4 Exercises: The Acoustics of Space
- Chapter 4 Quiz: The Acoustics of Space
- Case Study 4.1: The Elbphilharmonie — Engineering a World-Class Concert Hall
- Case Study 4.2: Recording the Beatles — How Abbey Road Studios Shaped Modern Music
- Chapter 4 Key Takeaways: The Acoustics of Space
- Chapter 4 Further Reading: The Acoustics of Space
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Chapter 5: Psychoacoustics — The Physics Inside Your Head
- Chapter 5 Exercises: Psychoacoustics — The Physics Inside Your Head
- Chapter 5 Quiz: Psychoacoustics — The Physics Inside Your Head
- Case Study 5.1: The Shepard Tone — An Infinite Auditory Staircase
- Case Study 5.2: Why Noise-Canceling Headphones Work (and When They Don't)
- Chapter 5 Key Takeaways: Psychoacoustics — The Physics Inside Your Head
- Chapter 5 Further Reading: Psychoacoustics — The Physics Inside Your Head
Part II: The Harmonic Series — Nature's Chord
- Part II: The Harmonic Series — Nature's Chord
-
Part II: The Harmonic Series — Nature's Chord
- Chapter 6 Exercises: Overtones & the Harmonic Series
- Chapter 6 Quiz: Overtones & the Harmonic Series
- Case Study 6.1: Pythagoras and the Blacksmith — The Legend and the Reality
- Case Study 6.2: The Spectrogram of a Human Voice — Reading the Harmonic Series in Speech
- Chapter 6 Key Takeaways: Overtones & the Harmonic Series
- Chapter 6 Further Reading: Overtones & the Harmonic Series
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Chapter 7: Timbre, Waveforms & Fourier's Revelation
- Chapter 7 Exercises: Timbre, Waveforms & Fourier's Revelation
- Chapter 7 Quiz: Timbre, Waveforms & Fourier's Revelation
- Case Study 7.1: Reading the Voice — How Spectrogram Technology Revolutionized Forensics and Linguistics
- Case Study 7.2: The Theremin and Electronic Waveforms — When Pure Sine Waves Made Music
- Chapter 7 Key Takeaways: Timbre, Waveforms & Fourier's Revelation
- Chapter 7 Further Reading: Timbre, Waveforms & Fourier's Revelation
- Code Lab: Fourier Analysis of Musical Sounds
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Chapter 8: How Instruments Work — Physics of Sound Generation
- Chapter 8 Exercises: How Instruments Work — Physics of Sound Generation
- Chapter 8 Quiz: How Instruments Work — Physics of Sound Generation
- Case Study 8.1: The Stradivarius vs. Modern Violins — What Double-Blind Tests Reveal
- Case Study 8.2: The Didgeridoo — Circular Breathing and Standing Waves in Indigenous Australian Culture
- Chapter 8 Key Takeaways: How Instruments Work — Physics of Sound Generation
- Chapter 8 Further Reading: How Instruments Work — Physics of Sound Generation
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Chapter 9: The Voice as Instrument — Acoustics of Human Sound Production
- Chapter 9 Exercises: The Voice as Instrument
- Chapter 9 Quiz: The Voice as Instrument
- Case Study 9.1: The Singer's Formant — How Opera Singers Project Over Orchestras Without Microphones
- Case Study 9.2: Tuvan Throat Singing — One Throat, Two Notes
- Chapter 9 Key Takeaways: The Voice as Instrument
- Chapter 9 Further Reading: The Voice as Instrument
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Chapter 10: Electronic Sound & Synthesis — Recreating the Physical World Digitally
- Chapter 10 Exercises: Electronic Sound & Synthesis
- Chapter 10 Quiz: Electronic Sound & Synthesis
- Case Study 10.1: The Moog Synthesizer and the Democratization of Physics
- Case Study 10.2: The Yamaha DX7 and FM Synthesis — How One Algorithm Changed Pop Music
- Chapter 10 Key Takeaways: Electronic Sound & Synthesis
- Chapter 10 Further Reading: Electronic Sound & Synthesis
- Code Lab: Electronic Sound Synthesis
Part III: Musical Structure as Physics — Scales, Tuning, Rhythm, Harmony
- Part III: Musical Structure as Physics
-
Part III Introduction: Musical Structure as Physics
- Chapter 11 Exercises: Pitch, Frequency & Musical Scales
- Chapter 11 Quiz: Pitch, Frequency & Musical Scales
- Case Study 11.1: The 19-Tone Equal Temperament Scale — What Happens When You Double the Notes?
- Case Study 11.2: The Blues Scale and the Physics of Pitch Bending
- Chapter 11 Key Takeaways: Pitch, Frequency & Musical Scales
- Chapter 11 Further Reading: Pitch, Frequency & Musical Scales
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Chapter 12: Tuning Systems — The Mathematics of Consonance and Compromise
- Chapter 12 Exercises: Tuning Systems — The Mathematics of Consonance and Compromise
- Chapter 12 Quiz: Tuning Systems — The Mathematics of Consonance and Compromise
- Case Study 12.1: Bach's Well-Tempered Clavier — A Scientific Experiment in Tuning
- Case Study 12.2: Harry Partch's 43-Tone Scale — Designing a Tuning System from Scratch
- Chapter 12 Key Takeaways: Tuning Systems — The Mathematics of Consonance and Compromise
- Chapter 12 Further Reading: Tuning Systems — The Mathematics of Consonance and Compromise
- Code Lab: Tuning Systems Calculator
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Chapter 13: Rhythm as Temporal Structure — Periodicity, Meter, and Time
- Chapter 13 Exercises: Rhythm as Temporal Structure — Periodicity, Meter, and Time
- Chapter 13 Quiz: Rhythm as Temporal Structure — Periodicity, Meter, and Time
- Case Study 13.1: The Amen Break — One Six-Second Drum Loop That Defined a Genre
- Case Study 13.2: Indian Classical Tala — When Rhythmic Cycles Last 108 Beats
- Chapter 13 Key Takeaways: Rhythm as Temporal Structure — Periodicity, Meter, and Time
- Chapter 13 Further Reading: Rhythm as Temporal Structure — Periodicity, Meter, and Time
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Chapter 14: Harmony & Counterpoint — When Physics Meets Composition
- Chapter 14 Exercises: Harmony & Counterpoint — When Physics Meets Composition
- Chapter 14 Quiz: Harmony & Counterpoint — When Physics Meets Composition
- Case Study 14-1: Bach's Contrapunctus XIV — The Unfinished Fugue as Physical System
- Case Study 14-2: Jazz Re-Harmonization — When Miles Davis Changed the Rules
- Chapter 14 Key Takeaways: Harmony & Counterpoint — When Physics Meets Composition
- Chapter 14 Further Reading: Harmony & Counterpoint
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Chapter 15: Form, Architecture & Musical Time — The Physics of Large-Scale Structure
- Chapter 15 Exercises: Form, Architecture & Musical Time — The Physics of Large-Scale Structure
- Chapter 15 Quiz: Form, Architecture & Musical Time — The Physics of Large-Scale Structure
- Case Study 15-1: Beethoven's Fifth Symphony — Motivic Physics Across Four Movements
- Case Study 15-2: Steve Reich's "Music for 18 Musicians" — Minimalism as Phase Transition
- Chapter 15 Key Takeaways: Form, Architecture & Musical Time — The Physics of Large-Scale Structure
- Chapter 15 Further Reading: Form, Architecture & Musical Time
Part IV: Symmetry, Patterns & Information — Fractals, Entropy, Chaos
- Part IV: Symmetry, Patterns & Information
-
Part IV: Symmetry, Patterns & Information
- Chapter 16 Exercises: Symmetry in Music and Physics
- Chapter 16 Quiz: Symmetry in Music and Physics
- Case Study 16-1: Bach's Musical Offering — A Masterclass in Symmetry Operations
- Case Study 16-2: Crystal Symmetry and Musical Structure — The Surprising Connection
- Chapter 16 Key Takeaways: Symmetry in Music and Physics
- Chapter 16 Further Reading: Symmetry in Music and Physics
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Chapter 17: Fractals, Self-Similarity & Musical Patterns
- Chapter 17 Exercises: Fractals, Self-Similarity & Musical Patterns
- Chapter 17 Quiz: Fractals, Self-Similarity & Musical Patterns
- Case Study 17-1: 1/f Noise — The Sound of Natural Music
- Case Study 17-2: Conlon Nancarrow's Player Piano Studies — Fractal Rhythms at Machine Speed
- Chapter 17 Key Takeaways: Fractals, Self-Similarity & Musical Patterns
- Chapter 17 Further Reading: Fractals, Self-Similarity & Musical Patterns
- Code Lab: Fractal Music Generation
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Chapter 18: Information Theory & Music — Entropy, Surprise, and Expectation
- Chapter 18 Exercises: Information Theory & Music
- Chapter 18 Quiz: Information Theory & Music
- Case Study 18-1: The Information Theory of the Beatles — Why Their Songwriting Was Informationally Optimal
- Case Study 18-2: How Spotify's Recommendation Algorithm Uses Information Theory
- Chapter 18 Key Takeaways: Information Theory & Music
- Chapter 18 Further Reading: Information Theory & Music
- Code Lab: Musical Entropy Calculator
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Chapter 19: Chaos, Complexity & Improvisation — Order at the Edge
- Chapter 19 Exercises: Chaos, Complexity & Improvisation
- Chapter 19 Quiz: Chaos, Complexity & Improvisation
- Case Study 19-1: Miles Davis's *Bitches Brew* — Jazz at the Chaos Transition
- Case Study 19-2: Self-Organized Criticality in Music — Why Great Songs Are Like Earthquakes
- Chapter 19 Key Takeaways: Chaos, Complexity & Improvisation
- Chapter 19 Further Reading: Chaos, Complexity & Improvisation
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Chapter 20: Mathematical Patterns in Composition — From Bach to Messiaen
- Chapter 20 Exercises: Mathematical Patterns in Composition — From Bach to Messiaen
- Chapter 20 Quiz: Mathematical Patterns in Composition — From Bach to Messiaen
- Case Study 20-1: Iannis Xenakis — From Architecture to Stochastic Composition
- Case Study 20-2: Messiaen's *Quartet for the End of Time* — Mathematics, Theology, and a Nazi Prison Camp
- Chapter 20 Key Takeaways: Mathematical Patterns in Composition — From Bach to Messiaen
- Chapter 20 Further Reading: Mathematical Patterns in Composition — From Bach to Messiaen
Part V: Quantum Mechanics & Musical Analogs — Deep Structural Parallels
- Part V: Quantum Mechanics & Musical Analogs
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Part V Introduction: When Physics and Music Share the Same Mathematics
- Chapter 21 Exercises: Quantum States & Musical Notes — A Structural Analogy
- Chapter 21 Quiz: Quantum States & Musical Notes — A Structural Analogy
- Case Study 21-1: Quantum Cognition — When Quantum Mathematics Explains Human Decision-Making
- Case Study 21-2: The Particle-in-a-Box — Teaching Quantum Mechanics Through Music
- Chapter 21 Key Takeaways: Quantum States & Musical Notes — A Structural Analogy
- Chapter 21 Further Reading: Quantum States & Musical Notes — A Structural Analogy
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Chapter 22: The Uncertainty Principle & Musical Timbre — Time-Frequency Trade-offs
- Chapter 22 Exercises: The Uncertainty Principle & Musical Timbre — Time-Frequency Trade-offs
- Chapter 22 Quiz: The Uncertainty Principle & Musical Timbre — Time-Frequency Trade-offs
- Case Study 22-1: The Phase Vocoder — Manipulating Time and Frequency Independently
- Case Study 22-2: Quantum Beating and Musical Beating — The Same Physics?
- Chapter 22 Key Takeaways: The Uncertainty Principle & Musical Timbre — Time-Frequency Trade-offs
- Chapter 22 Further Reading: The Uncertainty Principle & Musical Timbre — Time-Frequency Trade-offs
- Code Lab: Time-Frequency Uncertainty Demonstration
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Chapter 23: Superposition, Interference & Harmony
- Chapter 23 Exercises: Superposition, Interference & Harmony
- Chapter 23 Quiz: Superposition, Interference & Harmony
- Case Study 23-1: LIGO and the Detection of Gravitational Waves — Listening to Spacetime
- Case Study 23-2: Binaural Beats — When Interference Happens Inside Your Head
- Chapter 23 Key Takeaways: Superposition, Interference & Harmony
- Chapter 23 Further Reading: Superposition, Interference & Harmony
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Chapter 24: Symmetry Breaking in Physics and in Tonality
- Chapter 24 Exercises: Symmetry Breaking in Physics and in Tonality
- Chapter 24 Quiz: Symmetry Breaking in Physics and in Tonality
- Case Study 24-1: The Big Bang as the Ultimate Symmetry-Breaking Event — Musical Parallels
- Case Study 24-2: Schoenberg's Journey — From Tonality to Atonality and Back to System
- Chapter 24 Key Takeaways: Symmetry Breaking in Physics and in Tonality
- Chapter 24 Further Reading: Symmetry Breaking in Physics and in Tonality
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Chapter 25: Many Worlds & Counterpoint — Multiple Realities, Multiple Voices
- Chapter 25 Exercises: Many Worlds & Counterpoint — Multiple Realities, Multiple Voices
- Chapter 25 Quiz: Many Worlds & Counterpoint — Multiple Realities, Multiple Voices
- Case Study 25-1: Bach's Art of Fugue — Independence and Interdependence of Musical Realities
- Case Study 25-2: Parallel Universes in Popular Culture vs. in Physics — Music as a Clarifying Analog
- Chapter 25 Key Takeaways: Many Worlds & Counterpoint — Multiple Realities, Multiple Voices
- Chapter 25 Further Reading: Many Worlds & Counterpoint — Multiple Realities, Multiple Voices
Part VI: The Physics of Perception & Emotion — Neuroscience, Culture, Cognition
- Part VI: The Physics of Perception & Emotion
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Part VI: The Physics of Perception & Emotion
- Chapter 26 Exercises: The Neuroscience of Music
- Chapter 26 Quiz: The Neuroscience of Music
- Case Study 26-1: Music and Alzheimer's Disease — When Music Outlasts Memory
- Case Study 26-2: Frisson — The Physics and Neuroscience of Musical Chills
- Chapter 26 Key Takeaways: The Neuroscience of Music
- Chapter 26 Further Reading: The Neuroscience of Music
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Chapter 27: Emotion, Tension & Release — The Physics of Musical Feeling
- Chapter 27 Exercises: Emotion, Tension & Release — The Physics of Musical Feeling
- Chapter 27 Quiz: Emotion, Tension & Release — The Physics of Musical Feeling
- Case Study 27-1: John Williams and the Science of Cinematic Emotion
- Case Study 27-2: Why Adele's "Someone Like You" Makes Everyone Cry — A Psychoacoustic Analysis
- Chapter 27 Key Takeaways: Emotion, Tension & Release — The Physics of Musical Feeling
- Chapter 27 Further Reading: Emotion, Tension & Release — The Physics of Musical Feeling
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Chapter 28: Why Minor Sounds Sad — Cultural, Cognitive, and Physical Explanations
- Chapter 28 Exercises: Why Minor Sounds Sad — Cultural, Cognitive, and Physical Explanations
- Chapter 28 Quiz: Why Minor Sounds Sad — Cultural, Cognitive, and Physical Explanations
- Case Study 28-1: Flamenco and the Happy Minor — How Spanish Music Subverts Western Emotional Associations
- Case Study 28-2: Music in Film Trailers — How Studios Manipulate Major/Minor to Control Emotional Response
- Chapter 28 Key Takeaways: Why Minor Sounds Sad — Cultural, Cognitive, and Physical Explanations
- Chapter 28 Further Reading: Why Minor Sounds Sad — Cultural, Cognitive, and Physical Explanations
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Chapter 29: Absolute Pitch, Relative Pitch & Musical Memory
- Chapter 29 Exercises: Absolute Pitch, Relative Pitch & Musical Memory
- Chapter 29 Quiz: Absolute Pitch, Relative Pitch & Musical Memory
- Case Study 29-1: Mozart's Alleged Absolute Pitch — Separating Legend from Evidence
- Case Study 29-2: The Musicophilia Paradox — How Brain Damage Can Create Musical Ability
- Chapter 29 Key Takeaways: Absolute Pitch, Relative Pitch & Musical Memory
- Chapter 29 Further Reading: Absolute Pitch, Relative Pitch & Musical Memory
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Chapter 30: Music Across Cultures — Universal Physics, Diverse Structures
- Chapter 30 Exercises: Music Across Cultures — Universal Physics, Diverse Structures
- Chapter 30 Quiz: Music Across Cultures — Universal Physics, Diverse Structures
- Case Study 30-1: Gamelan Tuning — When Physics and Culture Create Alternative Consonance
- Case Study 30-2: The Cross-Cultural Music Study (Mehr et al., 2019) — Designing an Experiment to Test Music Universals
- Chapter 30 Key Takeaways: Music Across Cultures — Universal Physics, Diverse Structures
- Chapter 30 Further Reading: Music Across Cultures — Universal Physics, Diverse Structures
Part VII: Recording, Technology & Signal Processing — From Edison to Spatial Audio
- Part VII: Recording, Technology & Signal Processing
-
Part VII: Recording, Technology & Signal Processing
- Chapter 31 Exercises: The Physics of Recording — From Edison to Digital
- Chapter 31 Quiz: The Physics of Recording — From Edison to Digital
- Case Study 31-1: Sgt. Pepper's Lonely Hearts Club Band — The Album That Could Only Exist in a Recording Studio
- Case Study 31-2: The Loudness War — When Recording Physics Meets Commerce
- Chapter 31 Key Takeaways: The Physics of Recording — From Edison to Digital
- Chapter 31 Further Reading: The Physics of Recording — From Edison to Digital
-
Chapter 32: Digital Audio — Sampling, Quantization & the Nyquist Theorem
- Chapter 32 Exercises: Digital Audio — Sampling, Quantization & the Nyquist Theorem
- Chapter 32 Quiz: Digital Audio — Sampling, Quantization & the Nyquist Theorem
- Case Study 32-1: The MP3 Revolution — How Shannon's Theorem and Psychoacoustics Democratized Music
- Case Study 32-2: Why Vinyl Records Are Having a Renaissance — Physics, Nostalgia, and Authenticity
- Chapter 32 Key Takeaways: Digital Audio — Sampling, Quantization & the Nyquist Theorem
- Chapter 32 Further Reading: Digital Audio — Sampling, Quantization & the Nyquist Theorem
- Code Lab: Nyquist Theorem and Sampling Demonstration
-
Chapter 33: Audio Compression — MP3, Perceptual Coding & What We Lose
- Chapter 33 Exercises: Audio Compression — MP3, Perceptual Coding & What We Lose
- Chapter 33 Quiz: Audio Compression — MP3, Perceptual Coding & What We Lose
- Case Study 33-1: Karlheinz Brandenburg and the Physics of Perceptual Coding
- Case Study 33-2: Hi-Res Audio — Marketing vs. Physics — What the Double-Blind Tests Show
- Chapter 33 Key Takeaways: Audio Compression — MP3, Perceptual Coding & What We Lose
- Chapter 33 Further Reading: Audio Compression — MP3, Perceptual Coding & What We Lose
- Code Lab: Audio Compression Analysis
-
Chapter 34: Room Acoustics & Sound Design — Engineering Sonic Space
- Chapter 34 Exercises: Room Acoustics & Sound Design
- Chapter 34 Quiz: Room Acoustics & Sound Design
- Case Study 34-1: The Dallas Symphony Hall Disaster and Its Acoustic Rescue
- Case Study 34-2: The Anechoic Chamber — The World's Quietest Room and What It Reveals
- Chapter 34 Key Takeaways: Room Acoustics & Sound Design
- Chapter 34 Further Reading: Room Acoustics & Sound Design
-
Chapter 35: Spatial Audio & 3D Sound — The Future of Listening
- Chapter 35 Exercises: Spatial Audio & 3D Sound
- Chapter 35 Quiz: Spatial Audio & 3D Sound
- Case Study 35-1: The Beatles' "Tomorrow Never Knows" — Spatial Audio Before Stereo Was Perfected
- Case Study 35-2: VR Audio at Meta — Engineering the Physics of Presence
- Chapter 35 Key Takeaways: Spatial Audio & 3D Sound
- Chapter 35 Further Reading: Spatial Audio & 3D Sound
Part VIII: Creativity, Physics & the Future — AI, Social Media, Silence, Synthesis
- Part VIII: Creativity, Physics & the Future
-
Part VIII: Creativity, Physics & the Future
- Chapter 36 Exercises: AI and Music Generation — Pattern Machines and Creative Machines
- Chapter 36 Quiz: AI and Music Generation — Pattern Machines and Creative Machines
- Case Study 36.1: Suno and Udio — The First Mass-Market AI Music Generators
- Case Study 36.2: Google's MusicLM to Lyria — The Physics of Diffusion-Based Audio Generation
- Chapter 36 Key Takeaways: AI and Music Generation
- Chapter 36 Further Reading: AI and Music Generation
-
Chapter 37: Music in Social Media — The Acoustics of Virality
- Chapter 37 Exercises: Music in Social Media — The Acoustics of Virality
- Chapter 37 Quiz: Music in Social Media — The Acoustics of Virality
- Case Study 37.1: Olivia Rodrigo's "drivers license" — Acoustic Analysis of a Viral Phenomenon
- Case Study 37.2: The "Spotify Sound" — How Streaming Algorithms Homogenized Pop Music
- Chapter 37 Key Takeaways: Music in Social Media — The Acoustics of Virality
- Chapter 37 Further Reading: Music in Social Media — The Acoustics of Virality
- Code Lab: Music Virality Analysis
-
Chapter 38: The Physics of Silence — Cage, Noise, and What Silence Means
- Chapter 38 Exercises: The Physics of Silence — Cage, Noise, and What Silence Means
- Chapter 38 Quiz: The Physics of Silence — Cage, Noise, and What Silence Means
- Case Study 38.1: *4'33"* — The Most Controversial Piece in Music History
- Case Study 38.2: Acoustic Ecology — Bernie Krause and the Physics of Natural Soundscapes
- Chapter 38 Key Takeaways: The Physics of Silence — Cage, Noise, and What Silence Means
- Chapter 38 Further Reading: The Physics of Silence — Cage, Noise, and What Silence Means
-
Chapter 39: Bridging Domains — What Physics Learns from Music (and Vice Versa)
- Chapter 39 Exercises: Bridging Domains — What Physics Learns from Music (and Vice Versa)
- Chapter 39 Quiz: Bridging Domains — What Physics Learns from Music (and Vice Versa)
- Case Study 39.1: Iannis Xenakis, Part 2 — When Architecture, Physics, and Music Are One
- Case Study 39.2: The Fourier Transform — When a Mathematical Tool Becomes a Common Language
- Chapter 39 Key Takeaways: Bridging Domains — What Physics Learns from Music (and Vice Versa)
- Chapter 39 Further Reading: Bridging Domains — What Physics Learns from Music (and Vice Versa)
-
Chapter 40: The Music of the Spheres — From Pythagoras to String Theory
- Chapter 40 Exercises: The Music of the Spheres — From Pythagoras to String Theory
- Chapter 40 Quiz: The Music of the Spheres — From Pythagoras to String Theory
- Case Study 40.1: The CMB Power Spectrum — Reading the Universe's Musical Score
- Case Study 40.2: Brian Greene's "Symphony of Strings" — Science Communication and Musical Metaphor
- Chapter 40 Key Takeaways: The Music of the Spheres — From Pythagoras to String Theory
- Chapter 40 Further Reading: The Music of the Spheres — From Pythagoras to String Theory
Part IX: Capstone Projects
Appendices
- Appendix A: Mathematical Foundations (Intuitive)
- Appendix B: Python Audio Toolkit & Code Reference
- Appendix C: Historical Timeline — Acoustics & Music Theory
- Appendix D: Key Studies Summary — Psychoacoustics & Music Cognition
- Appendix E: Primary Source Anthology
- Appendix F: Glossary
- Appendix G: Answers to Selected Exercises
- Appendix H: Bibliography
Political Analytics
Front Matter
Part I: Foundations of Political Analytics
- Part I: Foundations of Political Analytics
- Chapter 1: The Age of Political Data
-
Chapter 2: A Brief History of Polling and Political Measurement
- Exercises: A Brief History of Polling and Political Measurement
- Quiz: A Brief History of Polling and Political Measurement
- Case Study 1: The 1948 Debacle and the Social Science Research Council Report
- Case Study 2: YouGov and the Non-Probability Revolution
- Key Takeaways: A Brief History of Polling and Political Measurement
- Further Reading: A Brief History of Polling and Political Measurement
- Chapter 3: The Political Data Ecosystem
-
Chapter 4: Thinking Like a Political Analyst
- Chapter 4 Exercises: Thinking Like a Political Analyst
- Chapter 4 Quiz: Thinking Like a Political Analyst
- Case Study 4.1: The Advertising Attribution Problem — What Moved the Numbers?
- Case Study 4.2: The Turnout Model's Missing Universe
- Chapter 4 Key Takeaways: Thinking Like a Political Analyst
- Chapter 4 Further Reading: Thinking Like a Political Analyst
-
Chapter 5: Your First Political Dataset
- Chapter 5 Exercises: Your First Political Dataset
- Chapter 5 Quiz: Your First Political Dataset
- Case Study 5.1: When the Voter File Lies — Data Quality in Practice
- Case Study 5.2: Sam's First Story — From Dataset to Publication
- Chapter 5 Key Takeaways: Your First Political Dataset
- Chapter 5 Further Reading: Your First Political Dataset
Part II: Public Opinion and Survey Research
- Part II: Measuring Public Opinion
- Chapter 6: What Is Public Opinion?
-
Chapter 7: Survey Design: From Questions to Questionnaires
- Chapter 7 Exercises: Survey Design: From Questions to Questionnaires
- Chapter 7 Quiz: Survey Design: From Questions to Questionnaires
- Case Study 7.1: The Question That Moved the Race — Wording Effects in the Garza-Whitfield Survey
- Case Study 7.2: Writing the Immigration Questions — When Every Word Is a Political Decision
- Chapter 7 Key Takeaways
- Chapter 7 Further Reading
-
Chapter 8: Sampling: Who Speaks for the Public?
- Chapter 8 Exercises: Sampling: Who Speaks for the Public?
- Chapter 8 Quiz: Sampling: Who Speaks for the Public?
- Case Study 8.1: Weighting the Sun Belt — Meridian's Sampling Strategy for the Garza-Whitfield Race
- Case Study 8.2: The 1936 Election and the Birth of Scientific Polling
- Chapter 8 Key Takeaways
- Chapter 8 Further Reading
-
Chapter 9: Fielding and Data Collection
- Chapter 9 Exercises: Fielding and Data Collection
- Chapter 9 Quiz: Fielding and Data Collection
- Case Study 9-1: Meridian's Multi-Mode Crisis
- Case Study 9-2: The 2020 Polling Error — A Nonresponse Post-Mortem
- Chapter 9 Key Takeaways: Fielding and Data Collection
- Chapter 9 Further Reading: Fielding and Data Collection
-
Chapter 10: Reading and Evaluating Polls
- Chapter 10 Exercises: Reading and Evaluating Polls
- Chapter 10 Quiz: Reading and Evaluating Polls
- Case Study 10-1: The Outlier Poll and the Media Frenzy
- Case Study 10-2: Building a Race Rating System — The Forecaster's Perspective
- Chapter 10 Key Takeaways: Reading and Evaluating Polls
- Chapter 10 Further Reading: Reading and Evaluating Polls
Part III: Elections and Voting Behavior
- Part III: Elections, Voting, and the Electorate
-
Chapter 11: The American Voter and Beyond
- Chapter 11 Exercises: The American Voter and Beyond
- Chapter 11 Quiz: The American Voter and Beyond
- Case Study 11-1: The Perceptual Screen in a Senate Primary
- Case Study 11-2: When Economic Voting Meets Identity Politics
- Chapter 11 Key Takeaways: The American Voter and Beyond
- Chapter 11 Further Reading: The American Voter and Beyond
-
Chapter 12: Partisanship, Polarization, and Sorting
- Chapter 12 Exercises: Partisanship, Polarization, and Sorting
- Chapter 12 Quiz: Partisanship, Polarization, and Sorting
- Case Study 12-1: Polling a Polarized State — Meridian's Nonresponse Challenge
- Case Study 12-2: The Nationalized Suburb — When Local No Longer Means Local
- Chapter 12 Key Takeaways: Partisanship, Polarization, and Sorting
- Chapter 12 Further Reading: Partisanship, Polarization, and Sorting
-
Chapter 13: Demographics and the Electorate
- Chapter 13 Exercises: Demographics and the Electorate
- Chapter 13 Quiz: Demographics and the Electorate
- Case Study 13-1: ODA's Electorate Composition Report — Reading Between the Lines
- Case Study 13-2: The Asian American Electorate — The Most Underanalyzed Community in the State
- Chapter 13 Key Takeaways: Demographics and the Electorate
- Chapter 13 Further Reading: Demographics and the Electorate
- Chapter 14: Turnout — Who Votes and Why
- Chapter 15: Campaign Effects — Do They Matter?
- Chapter 16: Visualizing the Electorate (Python Lab)
Part IV: Election Forecasting and Modeling
- Part IV: Forecasting and Modeling Elections
-
Chapter 17: Poll Aggregation: From RealClearPolitics to FiveThirtyEight
- Chapter 17 Exercises: Poll Aggregation
- Chapter 17 Quiz: Poll Aggregation
- Case Study 17-1: The 2022 Senate Map and Aggregator Divergence
- Case Study 17-2: Meridian in the Aggregator Ecosystem — The Garza-Whitfield Race
- Chapter 17 Key Takeaways: Poll Aggregation
- Chapter 17 Further Reading: Poll Aggregation
-
Chapter 18: Fundamentals Models: The Economy, Incumbency, and Structure
- Chapter 18 Exercises: Fundamentals Models
- Chapter 18 Quiz: Fundamentals Models
- Case Study 18-1: The 2000 Election and Gore's Fundamentals Paradox
- Case Study 18-2: Building a Senate Fundamentals Model — The Garza-Whitfield Context
- Chapter 18 Key Takeaways: Fundamentals Models
- Chapter 18 Further Reading: Fundamentals Models
-
Chapter 19: Probabilistic Forecasting and Uncertainty
- Chapter 19 Exercises: Probabilistic Forecasting and Uncertainty
- Chapter 19 Quiz: Probabilistic Forecasting and Uncertainty
- Case Study 19-1: The 2016 Presidential Forecast and the Correlated Error Problem
- Case Study 19-2: Meridian's Probability Report — The Garza-Whitfield Race
- Chapter 19 Key Takeaways: Probabilistic Forecasting and Uncertainty
- Chapter 19 Further Reading: Probabilistic Forecasting and Uncertainty
-
Chapter 20: When Models Fail: 2016, 2020, and Beyond
- Chapter 20 Exercises: When Models Fail
- Chapter 20 Quiz: When Models Fail
- Case Study 20.1: The 2015 UK General Election — Britain's Polling Disaster
- Case Study 20.2: Meridian's 2022 Postmortem — What the Numbers Were Really Saying
- Chapter 20 Key Takeaways: When Models Fail
- Chapter 20 Further Reading: When Models Fail
-
Chapter 21: Building a Simple Election Model (Python Lab)
- Chapter 21 Exercises: Building a Simple Election Model
- Chapter 21 Quiz: Building a Simple Election Model
- Case Study 21.1: Nadia's Model vs. Jake's Model — Two Campaigns, One Race
- Case Study 21.2: The Limits of the Simple Model — When the Architecture Breaks Down
- Chapter 21 Key Takeaways: Building a Simple Election Model
- Chapter 21 Further Reading: Building a Simple Election Model
-
Chapter 22: Down-Ballot and Global Forecasting
- Chapter 22 Exercises: Down-Ballot and Global Forecasting
- Chapter 22 Quiz: Down-Ballot and Global Forecasting
- Case Study 22.1: YouGov's 2017 UK MRP — How Demographics Beat the Consensus
- Case Study 22.2: Forecasting Without Polls — The 2018 Brazilian Municipal Elections
- Chapter 22 Key Takeaways: Down-Ballot and Global Forecasting
- Chapter 22 Further Reading: Down-Ballot and Global Forecasting
Part V: Media, Messaging, and Political Communication
- Part V: Media, Messaging, and the Information Environment
-
Chapter 23: The Media Ecosystem and Political Information
- Chapter 23 Exercises: The Media Ecosystem and Political Information
- Chapter 23 Quiz: The Media Ecosystem and Political Information
- Case Study 23.1: The Collapse of the Rocky Mountain Clarion
- Case Study 23.2: Spanish-Language Media and the Garza-Whitfield Information Gap
- Chapter 23 Key Takeaways: The Media Ecosystem and Political Information
- Chapter 23 Further Reading: The Media Ecosystem and Political Information
-
Chapter 24: Framing, Priming, and Persuasion
- Chapter 24 Exercises: Framing, Priming, and Persuasion
- Chapter 24 Quiz: Framing, Priming, and Persuasion
- Case Study 24.1: The Crime Frame and the Garza-Whitfield Race
- Case Study 24.2: The Opioid Crisis — A Framing Transformation Study
- Chapter 24 Key Takeaways: Framing, Priming, and Persuasion
- Chapter 24 Further Reading: Framing, Priming, and Persuasion
-
Chapter 25: Political Advertising: From TV Spots to Targeted Ads
- Chapter 25 Exercises: Political Advertising: From TV Spots to Targeted Ads
- Chapter 25 Quiz: Political Advertising: From TV Spots to Targeted Ads
- Case Study 25.1: The Air War in Garza-Whitfield — Television Strategy Under Resource Constraint
- Case Study 25.2: Digital Micro-Targeting and Democratic Accountability — The Whitfield Digital Program
- Chapter 25 Key Takeaways: Political Advertising: From TV Spots to Targeted Ads
- Chapter 25 Further Reading: Political Advertising: From TV Spots to Targeted Ads
- Chapter 26: Misinformation, Disinformation, and Fact-Checking
- Chapter 27: Analyzing Political Text and Media (Python Lab)
Part VI: Campaigns, Strategy, and Applied Analytics
- Part VI: Campaigns and Strategy
-
Chapter 28: The Modern Data-Driven Campaign
- Chapter 28 Exercises: The Modern Data-Driven Campaign
- Chapter 28 Quiz: The Modern Data-Driven Campaign
- Case Study 28.1: The Garza Campaign's Data Audit — Foundations of an Analytics Operation
- Case Study 28.2: The 2012 "Cave" and the Architecture of a Presidential Data Operation
- Chapter 28 Key Takeaways: The Modern Data-Driven Campaign
- Chapter 28 Further Reading: The Modern Data-Driven Campaign
-
Chapter 29: Voter Targeting and Microtargeting
- Chapter 29 Exercises: Voter Targeting and Microtargeting
- Chapter 29 Quiz: Voter Targeting and Microtargeting
- Case Study 29.1: Nadia's Message Matrix — Designing the Garza Persuasion Program
- Case Study 29.2: Cambridge Analytica and the Limits of Psychographic Microtargeting
- Chapter 29 Key Takeaways: Voter Targeting and Microtargeting
- Chapter 29 Further Reading: Voter Targeting and Microtargeting
-
Chapter 30: Field Experiments in Politics
- Chapter 30 Exercises: Field Experiments in Politics
- Chapter 30 Quiz: Field Experiments in Politics
- Case Study 30.1: The Meridian Canvassing Experiment — Design, Execution, and What Went Wrong
- Case Study 30.2: The Social Pressure Mailer — Revolutionary Findings and Unintended Consequences
- Chapter 30 Key Takeaways: Field Experiments in Politics
- Chapter 30 Further Reading: Field Experiments in Politics
- Chapter 31: Digital Campaigning and Social Media Strategy
- Chapter 32: Opposition Research and Rapid Response
- Chapter 33: Building a Voter Contact Dashboard (Python Lab)
Part VII: Populism, Movements, and Political Change
Part VIII: Ethics, Equity, and the Future
- Part VIII: Ethics, Equity, and the Future
-
Chapter 38: Ethics of Political Analytics
- Chapter 38 Exercises: Ethics of Political Analytics
- Chapter 38 Quiz: Ethics of Political Analytics
- Case Study 38.1: The Push-Poll and the Pollster's Reputation
- Case Study 38.2: The Reluctance Model — Nadia's Final Decision
- Chapter 38 Key Takeaways: Ethics of Political Analytics
- Chapter 38 Further Reading: Ethics of Political Analytics
-
Chapter 39: Race, Representation, and Data Justice
- Chapter 39 Exercises: Race, Representation, and Data Justice
- Chapter 39 Quiz: Race, Representation, and Data Justice
- Case Study 39.1: The Redistricting Model and the Missing Neighborhood
- Case Study 39.2: ODA's Algorithm Audit — When the Model Learns the Wrong Thing
- Chapter 39 Key Takeaways: Race, Representation, and Data Justice
- Chapter 39 Further Reading: Race, Representation, and Data Justice
-
Chapter 40: AI, Automation, and the Future of Political Analytics
- Chapter 40 Exercises: AI, Automation, and the Future of Political Analytics
- Chapter 40 Quiz: AI, Automation, and the Future of Political Analytics
- Case Study 40.1: The AI-Generated Robocall — Who Is Responsible?
- Case Study 40.2: The Optimization That Worked Too Well
- Chapter 40 Key Takeaways: AI, Automation, and the Future of Political Analytics
- Chapter 40 Further Reading: AI, Automation, and the Future of Political Analytics
-
Chapter 41: Careers in Political Analytics
- Chapter 41 Exercises: Careers in Political Analytics
- Chapter 41 Quiz: Careers in Political Analytics
- Case Study 41.1: The Off-Cycle Decision — What Do You Do Between Campaigns?
- Case Study 41.2: ODA's Hiring Decision — Who Gets In?
- Chapter 41 Key Takeaways: Careers in Political Analytics
- Chapter 41 Further Reading: Careers in Political Analytics
Part IX: Capstone Projects
Appendices
- Appendix A: Research Methods Primer
- Appendix B: Python and Data Toolkit Reference
- Appendix C: Data Sources Guide
- Appendix D: Key Studies Summary
- Appendix E: Historical Timeline of Political Analytics
- Appendix F: Templates and Worksheets
- Appendix G: Glossary of Key Terms in Political Analytics
- Appendix H: Answers to Selected Exercises
- Appendix I: Bibliography
Professional Basketball Analytics and Visualization
Front Matter
Part 1: Foundations of Basketball Analytics
- Chapter 1: Introduction to Basketball Analytics
- Chapter 2: Data Sources and Collection
- Chapter 3: Python Environment Setup
- Chapter 4: Exploratory Data Analysis for Basketball
-
Chapter 5: Descriptive Statistics in Basketball
- Chapter 5: Exercises
- Chapter 5 Quiz: Descriptive Statistics in Basketball
- Case Study 1: Building a Comprehensive Player Comparison System
- Case Study 2: Analyzing Scoring Consistency for MVP Voting
- Chapter 5: Key Takeaways - Descriptive Statistics in Basketball
- Chapter 5: Further Reading - Descriptive Statistics in Basketball
Part 2: Traditional Basketball Metrics
-
Chapter 6: Box Score Fundamentals
- Chapter 6 Exercises: Box Score Fundamentals
- Chapter 6 Quiz: Box Score Fundamentals
- Case Study 1: The 2016-17 Triple-Double Season of Russell Westbrook
- Case Study 2: The Defensive Dominance of the 2004 Detroit Pistons
- Chapter 6 Key Takeaways: Box Score Fundamentals
- Chapter 6 Further Reading: Box Score Fundamentals
-
Chapter 7: Rate Statistics and Pace Adjustment
- Chapter 7 Exercises: Rate Statistics and Pace Adjustment
- Chapter 7 Quiz: Rate Statistics and Pace Adjustment
- Case Study 1: The Pace-and-Space Revolution of the 2015-18 Golden State Warriors
- Case Study 2: Mike Conley and the Mid-2010s Memphis Grizzlies Pace Outliers
- Chapter 7 Key Takeaways: Rate Statistics and Pace Adjustment
- Chapter 7 Further Reading: Rate Statistics and Pace Adjustment
-
Chapter 8: Shooting Efficiency Metrics
- Chapter 8 Exercises: Shooting Efficiency Metrics
- Chapter 8 Quiz: Shooting Efficiency Metrics
- Case Study 1: Stephen Curry and the 2015-16 Season - Redefining Shooting Efficiency
- Case Study 2: The Houston Rockets' "Moreyball" Era (2017-2020) - Team-Level Efficiency Optimization
- Chapter 8 Key Takeaways: Shooting Efficiency Metrics
- Chapter 8 Further Reading: Shooting Efficiency Metrics
-
Chapter 9: Advanced Box Score Metrics
- Chapter 9: Exercises
- Chapter 9 Quiz: Advanced Box Score Metrics
- Case Study 1: Nikola Jokic and the Evolution of Center Evaluation
- Case Study 2: Draymond Green and the Limits of Box Score Evaluation
- Chapter 9 Key Takeaways: Advanced Box Score Metrics
- Chapter 9 Further Reading: Advanced Box Score Metrics
-
Chapter 10: Plus-Minus and On/Off Analysis
- Chapter 10 Exercises: Plus-Minus and On/Off Analysis
- Chapter 10 Quiz: Plus-Minus and On/Off Analysis
- Case Study 1: The 2019-20 Milwaukee Bucks - Elite Net Rating and Giannis Antetokounmpo's On/Off Dominance
- Case Study 2: The Impact of Point Guards - Chris Paul's On/Off Excellence Across Teams
- Chapter 10 Key Takeaways: Plus-Minus and On/Off Analysis
- Chapter 10 Further Reading: Plus-Minus and On/Off Analysis
Part 3: Modern Analytics
-
Chapter 11: Regularized Adjusted Plus-Minus (RAPM)
- Chapter 11 Exercises: Regularized Adjusted Plus-Minus (RAPM)
- Chapter 11 Quiz: Regularized Adjusted Plus-Minus (RAPM)
- Case Study 1: The Discovery of Draymond Green's True Value
- Case Study 2: Building a Real-Time RAPM System for Player Evaluation
- Chapter 11 Key Takeaways: Regularized Adjusted Plus-Minus (RAPM)
- Chapter 11 Further Reading: Regularized Adjusted Plus-Minus (RAPM)
-
Chapter 12: Box Plus-Minus (BPM) and Value Over Replacement Player (VORP)
- Chapter 12 Exercises: Box Plus-Minus (BPM) and VORP
- Chapter 12 Quiz: Box Plus-Minus (BPM) and Value Over Replacement Player (VORP)
- Case Study 1: Nikola Jokic and the Evolution of Center Value
- Case Study 2: Using VORP for Roster Construction and Salary Cap Management
- Chapter 12 Key Takeaways: Box Plus-Minus (BPM) and VORP
- Chapter 12 Further Reading: Box Plus-Minus (BPM) and VORP
-
Chapter 13: Win Shares and Wins Above Replacement
- Chapter 13 Exercises: Win Shares and Wins Above Replacement
- Chapter 13 Quiz: Win Shares
- Case Study 1: The 2016 Warriors - Win Shares in a Historic Season
- Case Study 2: Win Shares for Career Evaluation - Comparing All-Time Greats
- Chapter 13 Key Takeaways: Win Shares
- Chapter 13 Further Reading: Win Shares
-
Chapter 14: Expected Possession Value (EPV)
- Chapter 14 Exercises: Expected Possession Value (EPV)
- Chapter 14 Quiz: Expected Possession Value (EPV)
- Case Study 1: EPV Analysis of the Pick-and-Roll
- Case Study 2: Building an EPV Model from Tracking Data
- Chapter 14 Key Takeaways: Expected Possession Value (EPV)
- Chapter 14 Further Reading: Expected Possession Value (EPV)
- Chapter 15: Player Tracking Analytics
-
Chapter 16: Shot Quality Models
- Chapter 16 Exercises: Shot Quality Models
- Chapter 16 Quiz: Shot Quality Models
- Case Study 1: Building a Shot Quality Model for the Houston Rockets' Three-Point Revolution
- Case Study 2: Evaluating Shot-Making Ability - Separating Skill from Shot Selection
- Chapter 16 Key Takeaways: Shot Quality Models
- Chapter 16 Further Reading: Shot Quality Models
Part 4: Team and Game Analytics
-
Chapter 17: Team Offensive Efficiency
- Chapter 17: Exercises - Team Offensive Efficiency
- Chapter 17: Quiz - Team Offensive Efficiency
- Case Study 1: The Golden State Warriors' Offensive Revolution (2015-2019)
- Case Study 2: The San Antonio Spurs' Motion Offense Perfection (2014 NBA Finals)
- Chapter 17: Key Takeaways - Team Offensive Efficiency
- Chapter 17: Further Reading - Team Offensive Efficiency
-
Chapter 18: Team Defensive Analytics
- Chapter 18: Exercises - Team Defensive Analytics
- Chapter 18: Quiz - Team Defensive Analytics
- Case Study 1: The 2004 Detroit Pistons - Team Defense Without a Superstar
- Case Study 2: The Utah Jazz's Rudy Gobert Era - Peak Drop Coverage (2017-2022)
- Chapter 18: Key Takeaways - Team Defensive Analytics
- Chapter 18: Further Reading - Team Defensive Analytics
-
Chapter 19: Lineup Optimization
- Chapter 19: Exercises - Lineup Optimization
- Chapter 19: Quiz - Lineup Optimization
- Case Study 1: The Golden State Warriors' Death Lineup (2015-2019)
- Case Study 2: The San Antonio Spurs' Beautiful Game - Lineup Optimization Through Ball Movement (2014 NBA Finals)
- Chapter 19: Key Takeaways - Lineup Optimization
- Chapter 19: Further Reading - Lineup Optimization
-
Chapter 20: Game Strategy and Situational Analysis
- Chapter 20: Exercises - Game Strategy and Situational Analysis
- Chapter 20: Quiz - Game Strategy and Situational Analysis
- Case Study 1: The 2016 NBA Finals Game 7 - End-of-Game Decision Analysis
- Case Study 2: Hack-a-Shaq and the Evolution of Intentional Fouling Strategy
- Chapter 20: Key Takeaways - Game Strategy and Situational Analysis
- Chapter 20: Further Reading - Game Strategy and Situational Analysis
-
Chapter 21: In-Game Win Probability
- Chapter 21: Exercises - In-Game Win Probability
- Chapter 21: Quiz - In-Game Win Probability
- Chapter 21: Case Study 1 - The 2016 NBA Finals Game 7: Win Probability in Action
- Chapter 21: Case Study 2 - Building and Validating an NBA Win Probability Model
- Chapter 21: Key Takeaways - In-Game Win Probability
- Chapter 21: Further Reading - In-Game Win Probability
Part 5: Predictive Modeling
-
Chapter 22: Player Performance Prediction
- Chapter 22: Player Performance Prediction - Exercises
- Chapter 22: Player Performance Prediction - Quiz
- Chapter 22: Case Study 1 - Projecting Giannis Antetokounmpo's Career Trajectory
- Chapter 22: Case Study 2 - The Decline of Carmelo Anthony: Projecting Aging Superstars
- Chapter 22: Player Performance Prediction - Key Takeaways
- Chapter 22: Player Performance Prediction - Further Reading
-
Chapter 23: Draft Modeling and Prospect Evaluation
- Chapter 23: Draft Modeling and Prospect Evaluation - Exercises
- Chapter 23: Draft Modeling and Prospect Evaluation - Quiz
- Chapter 23: Case Study 1 - The 2017 NBA Draft: Quantifying the Tatum vs. Fultz Decision
- Chapter 23: Case Study 2 - Finding Gems: Jokic, Siakam, and Identifying Late-Round Value
- Chapter 23: Draft Modeling and Prospect Evaluation - Key Takeaways
- Chapter 23: Draft Modeling and Prospect Evaluation - Further Reading
-
Chapter 24: Injury Risk and Load Management
- Chapter 24: Injury Risk and Load Management - Exercises
- Chapter 24: Injury Risk and Load Management - Quiz
- Chapter 24: Case Study 1 - The Toronto Raptors' Kawhi Leonard Load Management Strategy (2018-19)
- Chapter 24: Case Study 2 - Predicting and Managing ACL Injuries: Derrick Rose and the Cost of Catastrophic Injury
- Chapter 24: Injury Risk and Load Management - Key Takeaways
- Chapter 24: Injury Risk and Load Management - Further Reading
-
Chapter 25: Game Outcome Prediction
- Chapter 25: Game Outcome Prediction - Exercises
- Chapter 25: Game Outcome Prediction - Quiz
- Chapter 25: Case Study 1 - Building an Elo Rating System for NBA Prediction
- Chapter 25: Case Study 2 - Evaluating the Efficiency of NBA Betting Markets
- Chapter 25: Game Outcome Prediction - Key Takeaways
- Chapter 25: Game Outcome Prediction - Further Reading
Part 6: Advanced Topics and Applications
-
Chapter 26: Machine Learning in Basketball
- Chapter 26: Machine Learning in Basketball - Exercises
- Chapter 26: Machine Learning in Basketball - Quiz
- Chapter 26: Case Study 1 - Discovering Player Archetypes Through Clustering
- Chapter 26: Case Study 2 - Building a Draft Success Prediction Model with Gradient Boosting
- Chapter 26: Machine Learning in Basketball - Key Takeaways
- Chapter 26: Machine Learning in Basketball - Further Reading
-
Chapter 27: Computer Vision and Video Analysis
- Chapter 27: Computer Vision and Video Analysis - Exercises
- Chapter 27: Computer Vision and Video Analysis - Quiz
- Chapter 27: Case Study 1 - Building an Automated Shot Quality Model Using Tracking Data
- Chapter 27: Case Study 2 - Automated Play Classification Using Deep Learning
- Chapter 27: Computer Vision and Video Analysis - Key Takeaways
- Chapter 27: Computer Vision and Video Analysis - Further Reading
-
Chapter 28: Building a Basketball Analytics Career
- Chapter 28: Building a Basketball Analytics Career - Exercises
- Chapter 28: Building a Basketball Analytics Career - Quiz
- Chapter 28: Case Study 1 - Building an NBA Team Analytics Department from Scratch
- Chapter 28: Case Study 2 - Career Journey from College Student to NBA Team Analyst
- Chapter 28: Building a Basketball Analytics Career - Key Takeaways
- Chapter 28: Building a Basketball Analytics Career - Further Reading
Part 7: Capstone Projects
Professional Soccer Analytics and Visualization
Front Matter
Part I: Foundations of Soccer Analytics
- Part I: Foundations of Soccer Analytics
- Chapter 1: Introduction to Soccer Analytics
- Chapter 2: Data Sources and Collection in Soccer
- Chapter 3: Statistical Foundations for Soccer Analysis
- Chapter 4: Python Tools for Soccer Analytics
-
Chapter 5: Introduction to Soccer Metrics
- Chapter 5 Exercises: Introduction to Soccer Metrics
- Chapter 5 Self-Assessment Quiz
- Case Study 1: How FBref and StatsBomb Changed Public Soccer Discourse
- Case Study 2: Building a Player Evaluation Dashboard for a Scouting Department
- Chapter 5 Key Takeaways
- Further Reading: Introduction to Soccer Metrics
- Chapter 6: The Soccer Pitch as a Coordinate System
Part II: Core Analytics and Metrics
- Part II: Core Analytics and Metrics
- Chapter 7: Expected Goals (xG) Models
- Chapter 8: Expected Assists and Chance Creation
- Chapter 9: Expected Threat (xT) and Ball Progression
-
Chapter 10: Passing Networks and Analysis
- Chapter 10 Exercises: Passing Networks and Analysis
- Chapter 10 Quiz: Passing Networks and Analysis
- Case Study 1: Analyzing the 2018 World Cup Final Through Passing Networks
- Case Study 2: Identifying Team Playing Style Through Network Fingerprints
- Chapter 10: Key Takeaways
- Chapter 10: Further Reading
- Chapter 11: Possession and Territorial Control
Part III: Player and Team Analysis
- Part III: Player and Team Analysis
-
Chapter 12: Defensive Metrics and Analysis
- Chapter 12 Exercises: Defensive Metrics and Analysis
- Chapter 12 Quiz: Defensive Metrics and Analysis
- Case Study 1: Defensive Masterclass - France's 2018 World Cup Winning Defense
- Case Study 2: Defensive Style Archetypes - Center-Back Profiles Across European Football
- Chapter 12: Key Takeaways
- Chapter 12: Further Reading
- Chapter 13: Goalkeeper Analysis
- Chapter 14: Set Piece Analytics
-
Chapter 15: Player Performance Metrics
- Chapter 15 Exercises: Player Performance Metrics
- Chapter 15 Self-Assessment Quiz
- Case Study 1: Evaluating Premier League Midfielders — A Multi-Dimensional Approach
- Case Study 2: Finding the Next Virgil van Dijk — Player Similarity in Recruitment
- Chapter 15: Key Takeaways
- Further Reading: Player Performance Metrics
- Chapter 16: Team Performance Analysis
Part IV: Advanced Analytics Techniques
- Part IV: Advanced Analytics Techniques
- Chapter 17: Spatial Analysis and Pitch Control
- Chapter 18: Tracking Data Analytics
- Chapter 19: Machine Learning for Soccer
- Chapter 20: Predictive Modeling
- Chapter 21: Player Recruitment and Scouting
-
Chapter 22: Match Strategy and Tactics
- Chapter 22 Exercises: Match Strategy and Tactics
- Chapter 22 Quiz: Match Strategy and Tactics
- Case Study 1: Tactical Breakdown: How Real Madrid Adapted Against Liverpool in the Champions League Final
- Case Study 2: The Substitution That Changed Everything
- Chapter 22: Key Takeaways
- Chapter 22: Further Reading
- Chapter 23: Video Analysis and Computer Vision
Part V: Advanced Topics and Applications
- Part V: Advanced Topics and Applications
- Chapter 24: Deep Learning in Soccer Analytics
- Chapter 25: Economic Analysis and Player Valuation
- Chapter 26: Injury Prevention and Load Management
- Chapter 27: Real-Time Analytics and Decision Support
-
Chapter 28: Building an Analytics Department
- Chapter 28 Exercises: Building an Analytics Department
- Chapter 28 Quiz: Building an Analytics Department
- Case Study 1: From Zero to World Class --- How FC Midtjylland Built a Data-First Culture
- Case Study 2: Scaling Analytics at Manchester City Football Group
- Chapter 28 Key Takeaways: Building an Analytics Department
- Chapter 28 Further Reading: Building an Analytics Department
Part VI: Capstone and Future Directions
- Part VI: Capstone and Future Directions
-
Chapter 29: Comprehensive Case Studies
- Chapter 29 Exercises: Comprehensive Case Studies
- Chapter 29 Quiz: Comprehensive Case Studies
- Case Study 1: End-to-End Analytics --- From Raw Data to Boardroom Presentation
- Case Study 2: Leicester City's 2015--16 Title --- A Retrospective
- Chapter 29: Key Takeaways
- Further Reading: Comprehensive Case Studies
- Chapter 30: The Future of Soccer Analytics
Appendices
- Appendix A: Mathematical Foundations
- Appendix B: Statistical Tables and Soccer Benchmarks
- Appendix C: Python Quick Reference for Soccer Analytics
- Appendix D: Data Sources and Tools
- Appendix E: Glossary of Soccer Analytics Terms
- Appendix F: Mathematical and Code Notation Guide
- Appendix G: Answers to Selected Exercises
- Appendix H: Bibliography
Propaganda, Power, and Persuasion
Front Matter
Part One: Foundations
- Part One: Foundations
- Chapter 1: What Is Propaganda? Definitions, History, and Scope
- Chapter 2: The Psychology of Persuasion — How Minds Are Moved
- Chapter 3: Rhetoric and Framing — The Architecture of Argument
-
Chapter 4: Cognitive Biases and Psychological Vulnerabilities
- Chapter 4 Exercises: Cognitive Biases and Psychological Vulnerabilities
- Chapter 4 Quiz: Cognitive Biases and Psychological Vulnerabilities
- Case Study 4.1: Confirmation Bias in Cable News Consumption
- Case Study 4.2: The Availability Heuristic and Crime Reporting
- Key Takeaways: Chapter 4
- Further Reading: Chapter 4
- Chapter 5: The Anatomy of a Propaganda Message
- Chapter 6: Propaganda and Democracy
Part Two: Techniques
- Part Two: Techniques
-
Chapter 7: Emotional Appeals — Fear, Pride, and Moral Outrage
- Chapter 7 Exercises: Emotional Appeals — Fear, Pride, and Moral Outrage
- Chapter 7 Quiz: Emotional Appeals — Fear, Pride, and Moral Outrage
- Case Study 7.1: Fear Appeals in Anti-Drug Advertising
- Case Study 7.2: Nationalist Pride in Olympic Advertising
- Chapter 7 Key Takeaways: Emotional Appeals — Fear, Pride, and Moral Outrage
- Chapter 7 Further Reading: Emotional Appeals — Fear, Pride, and Moral Outrage
-
Chapter 8: Simplification, Scapegoating, and the Big Lie
- Chapter 8 Exercises: Simplification, Scapegoating, and the Big Lie
- Chapter 8 Quiz: Simplification, Scapegoating, and the Big Lie
- Case Study 1: Nazi Scapegoating of Jewish Germans, 1933–1938
- Case Study 2: The "Big Lie" in Contemporary Electoral Politics — The Post-2020 U.S. Electoral Fraud Claims
- Key Takeaways: Chapter 8
- Further Reading: Chapter 8
-
Chapter 9: Bandwagon, Social Proof, and Manufactured Consensus
- Chapter 9 Exercises: Bandwagon, Social Proof, and Manufactured Consensus
- Chapter 9 Quiz: Bandwagon, Social Proof, and Manufactured Consensus
- Case Study 9.1: Astroturfing and Fake Grassroots — The Tobacco Industry's Front Group Architecture
- Case Study 9.2: Bot Networks and Manufactured Twitter Trends — The IRA's Social Media Operations
- Key Takeaways — Chapter 9: Bandwagon, Social Proof, and Manufactured Consensus
- Further Reading — Chapter 9: Bandwagon, Social Proof, and Manufactured Consensus
-
Chapter 10: Appeals to Authority and False Expertise
- Chapter 10 Exercises: Appeals to Authority and False Expertise
- Chapter 10 Quiz: Appeals to Authority and False Expertise
- Case Study 10.1: "More Doctors Smoke Camels" — The Tobacco Industry's Authority Machine, 1940–1970
- Case Study 10.2: Contrarian Scientists and the Climate Denial Network
- Key Takeaways: Chapter 10 — Appeals to Authority and False Expertise
- Further Reading: Chapter 10 — Appeals to Authority and False Expertise
-
Chapter 11: Repetition and the Illusory Truth Effect
- Chapter 11 Exercises: Repetition and the Illusory Truth Effect
- Chapter 11 Quiz: Repetition and the Illusory Truth Effect
- Case Study 11.1: "Deutschland Erwache" — One Slogan's Creation, Repetition Strategy, and Documented Effect
- Case Study 11.2: "Vaccines Cause Autism" — Illusory Truth and the Persistence of a Refuted Claim
- Key Takeaways: Chapter 11 — Repetition and the Illusory Truth Effect
- Further Reading: Chapter 11 — Repetition and the Illusory Truth Effect
-
Chapter 12: Symbols, Images, and Visual Propaganda
- Chapter 12 Exercises: Symbols, Images, and Visual Propaganda
- Chapter 12 Quiz: Symbols, Images, and Visual Propaganda
- Case Study 12.1: The Swastika — Symbol History and Propaganda Appropriation
- Case Study 12.2: The Visual Strategy of ISIS Propaganda (2014–2019)
- Key Takeaways: Chapter 12 — Symbols, Images, and Visual Propaganda
- Further Reading: Chapter 12 — Symbols, Images, and Visual Propaganda
Part Three: Channels
- Part Three: Channels
- Chapter 13: Print and Radio — The First Mass Media
- Chapter 14: Film, Television, and the Moving Image
-
Chapter 15: Advertising and Commercial Persuasion
- Chapter 15 Exercises: Advertising and Commercial Persuasion
- Chapter 15 Quiz: Advertising and Commercial Persuasion
- Case Study 15.1: Edward Bernays and the Manufacture of Desire
- Case Study 15.2: Big Tobacco's "Doubt Is Our Product" Strategy
- Chapter 15 Key Takeaways: Advertising and Commercial Persuasion
- Further Reading: Chapter 15 — Advertising and Commercial Persuasion
- Chapter 16: Digital Media, Social Networks, and Viral Spread
-
Chapter 17: Algorithms, the Attention Economy, and Filter Bubbles
- Chapter 17 Exercises: Algorithms, the Attention Economy, and Filter Bubbles
- Chapter 17 Quiz: Algorithms, the Attention Economy, and Filter Bubbles
- Case Study 17.1: YouTube's Radicalization Pipeline
- Case Study 17.2: Facebook's Internal Research on Harmful Content Amplification
- Chapter 17 Key Takeaways: Algorithms, the Attention Economy, and Filter Bubbles
- Chapter 17 Further Reading: Algorithms, the Attention Economy, and Filter Bubbles
-
Chapter 18: State-Controlled Media and Information Ecosystems
- Chapter 18 Exercises: State-Controlled Media and Information Ecosystems
- Chapter 18 Quiz: State-Controlled Media and Information Ecosystems
- Case Study 18.1: RT (Russia Today) and State-Sponsored Narrative Construction
- Case Study 18.2: China's Great Firewall and the Domestic Information Ecosystem
- Key Takeaways — Chapter 18: State-Controlled Media and Information Ecosystems
- Further Reading — Chapter 18: State-Controlled Media and Information Ecosystems
Part Four: Historical Cases
- Part Four: Historical Cases
-
Chapter 19: World War I and the Birth of Modern Propaganda
- Chapter 19 Exercises: World War I and the Birth of Modern Propaganda
- Chapter 19 Quiz: World War I and the Birth of Modern Propaganda
- Case Study 19.1: Britain's Wellington House and the U.S. Neutrality Period
- Case Study 19.2: The Creel Committee and Manufacturing Consent for War
- Chapter 19 Key Takeaways: World War I and the Birth of Modern Propaganda
- Chapter 19 Further Reading: World War I and the Birth of Modern Propaganda
- Chapter 20: Totalitarian Propaganda — Nazi Germany and the Soviet Union
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Chapter 21: Cold War Propaganda and the Battle for Minds
- Chapter 21 Exercises: Cold War Propaganda and the Battle for Minds
- Chapter 21 Quiz: Cold War Propaganda and the Battle for Minds
- Case Study 21-1: Voice of America, Radio Free Europe, and U.S. Broadcast Diplomacy
- Case Study 21-2: Soviet Active Measures and Dezinformatsiya Operations
- Chapter 21 Key Takeaways: Cold War Propaganda and the Battle for Minds
- Chapter 21 Further Reading: Cold War Propaganda and the Battle for Minds
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Chapter 22: Advertising Culture and the Manufacture of Desire
- Chapter 22 Exercises: Advertising Culture and the Manufacture of Desire
- Chapter 22 Quiz: Advertising Culture and the Manufacture of Desire
- Case Study 1: Bernays, Lucky Strike, and Women's Cigarette Adoption
- Case Study 2: De Beers and the Invention of the Diamond Engagement Ring
- Key Takeaways: Chapter 22 — Advertising Culture and the Manufacture of Desire
- Further Reading: Chapter 22 — Advertising Culture and the Manufacture of Desire
-
Chapter 23: Domestic Propaganda in the United States
- Chapter 23 Exercises: Domestic Propaganda in the United States
- Chapter 23 Quiz: Domestic Propaganda in the United States
- Case Study 23.1: McCarthyism and the Red Scare
- Case Study 23.2: The War on Drugs — Racialized Messaging and Policy
- Key Takeaways: Chapter 23 — Domestic Propaganda in the United States
- Further Reading: Chapter 23 — Domestic Propaganda in the United States
-
Chapter 24: Digital Disinformation — The 2016–2020 Campaigns
- Chapter 24 Exercises: Digital Disinformation — The 2016–2020 Campaigns
- Chapter 24 Quiz: Digital Disinformation — The 2016–2020 Campaigns
- Case Study 1: Russia's Internet Research Agency and the 2016 U.S. Election
- Case Study 2: COVID-19 Infodemic — Viral Falsehoods and Public Health
- Chapter 24 Key Takeaways: Digital Disinformation — The 2016–2020 Campaigns
- Chapter 24 Further Reading: Digital Disinformation — The 2016–2020 Campaigns
Part Five: Domains
- Part Five: Domains
- Chapter 25: Military Propaganda, Psychological Operations, and PSYOP
-
Chapter 26: Public Health Communication and Anti-Science Campaigns
- Chapter 26 Exercises: Public Health Communication and Anti-Science Campaigns
- Chapter 26 Quiz: Public Health Communication and Anti-Science Campaigns
- Case Study 26.1: The Anti-Vaccine Movement — From Wakefield to the Social Media Era
- Case Study 26.2: Big Tobacco's Manufactured Doubt — The Complete Propaganda Arc
- Chapter 26 Key Takeaways: Public Health Communication and Anti-Science Campaigns
- Chapter 26 Further Reading: Public Health Communication and Anti-Science Campaigns
-
Chapter 27: Economic Ideology, Corporate Messaging, and Astroturfing
- Chapter 27 Exercises: Economic Ideology, Corporate Messaging, and Astroturfing
- Chapter 27 Quiz: Economic Ideology, Corporate Messaging, and Astroturfing
- Case Study 27.1: The Powell Memo and the Corporate Reshaping of Public Discourse
- Case Study 27.2: Oil Industry Astroturfing and Climate Delay Messaging
- Key Takeaways: Chapter 27 — Economic Ideology, Corporate Messaging, and Astroturfing
- Further Reading: Chapter 27 — Economic Ideology, Corporate Messaging, and Astroturfing
-
Chapter 28: Religious Movements, Cults, and Coercive Persuasion
- Chapter 28 Exercises: Religious Movements, Cults, and Coercive Persuasion
- Chapter 28 Quiz: Religious Movements, Cults, and Coercive Persuasion
- Case Study 28.1: Jonestown — Isolation, Information Control, and Group Compliance
- Case Study 28.2: QAnon as a Decentralized Influence Operation
- Chapter 28 Key Takeaways: Religious Movements, Cults, and Coercive Persuasion
- Chapter 28 Further Reading: Religious Movements, Cults, and Coercive Persuasion
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Chapter 29: Counter-Propaganda, Strategic Communication, and Prebunking
- Chapter 29 Exercises: Counter-Propaganda, Strategic Communication, and Prebunking
- Chapter 29 Quiz: Counter-Propaganda, Strategic Communication, and Prebunking
- Case Study 29.1: Finland's Media Literacy Education System
- Case Study 29.2: NATO StratCom and Countering Russian Disinformation
- Key Takeaways — Chapter 29: Counter-Propaganda, Strategic Communication, and Prebunking
- Further Reading — Chapter 29: Counter-Propaganda, Strategic Communication, and Prebunking
-
Chapter 30: Authoritarian vs. Democratic Propaganda
- Chapter 30 Exercises: Authoritarian vs. Democratic Propaganda
- Chapter 30 Quiz: Authoritarian vs. Democratic Propaganda
- Case Study 1: North Korea's Total Information Control
- Case Study 2: Democratic Governments and Wartime Information Management
- Chapter 30 Key Takeaways: Authoritarian vs. Democratic Propaganda
- Chapter 30 Further Reading: Authoritarian vs. Democratic Propaganda
Part Six: Critical Analysis
- Part Six: Critical Analysis
-
Chapter 31: Media Literacy: Foundations and Frameworks
- Chapter 31 Exercises: Media Literacy — Foundations and Frameworks
- Chapter 31 Quiz: Media Literacy — Foundations and Frameworks
- Case Study 31.1: Finland's National Curriculum and Media Literacy Scores
- Case Study 31.2: The SIFT Method in Higher Education
- Chapter 31 Key Takeaways: Media Literacy — Foundations and Frameworks
- Chapter 31 Further Reading: Media Literacy — Foundations and Frameworks
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Chapter 32: Fact-Checking, Source Evaluation, and the Information Diet
- Chapter 32 Exercises: Fact-Checking, Source Evaluation, and the Information Diet
- Chapter 32 Quiz: Fact-Checking, Source Evaluation, and the Information Diet
- Case Study 32.1: PolitiFact, Snopes, and the Professionalization of Fact-Checking
- Case Study 32.2: The Limits of Fact-Checking — When Corrections Backfire
- Chapter 32 Key Takeaways: Fact-Checking, Source Evaluation, and the Information Diet
- Chapter 32 Further Reading: Fact-Checking, Source Evaluation, and the Information Diet
- Chapter 33: Inoculation Theory, Prebunking, and Building Resistance
-
Chapter 34: Ethics of Persuasion — Consent, Manipulation, and Responsibility
- Chapter 34 Exercises: Ethics of Persuasion — Consent, Manipulation, and Responsibility
- Chapter 34 Quiz: Ethics of Persuasion — Consent, Manipulation, and Responsibility
- Case Study 34.1: Public Health Nudging — Persuasion or Manipulation?
- Case Study 34.2: Facebook's Emotional Contagion Experiment (2014)
- Key Takeaways: Chapter 34 — Ethics of Persuasion
- Further Reading: Chapter 34
- Chapter 35: Law, Policy, and the Regulation of Propaganda
-
Chapter 36: Ethical Persuasion and Responsible Communication
- Chapter 36 Exercises: Ethical Persuasion and Responsible Communication
- Chapter 36 Quiz: Ethical Persuasion and Responsible Communication
- Case Study 36.1: Anti-Smoking Campaigns — Truthful Emotional Persuasion
- Case Study 36.2: Advocacy Journalism — Transparency vs. Agenda
- Chapter 36 Key Takeaways: Ethical Persuasion and Responsible Communication
- Chapter 36 Further Reading: Ethical Persuasion and Responsible Communication
Part Seven: Emerging Frontiers
- Part Seven: Emerging Frontiers
-
Chapter 37: AI-Generated Content and Synthetic Media
- Chapter 37 Exercises: AI-Generated Content and Synthetic Media
- Chapter 37 Quiz: AI-Generated Content and Synthetic Media
- Case Study 37.1: LLM-Generated News Articles and the Rise of Content Farms
- Case Study 37.2: Detecting AI-Generated Text — Forensic Methods and Their Limits
- Key Takeaways: Chapter 37 — AI-Generated Content and Synthetic Media
- Further Reading: Chapter 37 — AI-Generated Content and Synthetic Media
-
Chapter 38: Deepfakes, Computational Propaganda, and Influence Operations
- Chapter 38 Exercises: Deepfakes, Computational Propaganda, and Influence Operations
- Chapter 38 Quiz: Deepfakes, Computational Propaganda, and Influence Operations
- Case Study 38-1: The Jordan Peterson Deepfake and Political Disinformation
- Case Study 38-2: China's Spamouflage Network and Computational Influence Operations
- Key Takeaways: Chapter 38
- Further Reading: Chapter 38
-
Chapter 39: Information Warfare and the Future of Truth
- Chapter 39 Exercises: Information Warfare and the Future of Truth
- Chapter 39 Quiz: Information Warfare and the Future of Truth
- Case Study 39-A: Russia's "Firehose of Falsehood" Doctrine in Operation
- Case Study 39-B: Taiwan's Rapid Response System Against Disinformation
- Key Takeaways — Chapter 39: Information Warfare and the Future of Truth
- Further Reading — Chapter 39: Information Warfare and the Future of Truth
-
Chapter 40: Democratic Resilience and the Inoculated Society
- Chapter 40 Exercises: Democratic Resilience and the Inoculated Society
- Chapter 40 Quiz: Democratic Resilience and the Inoculated Society
- Case Study 1: Estonia's Digital Resilience After the 2007 Cyberattacks
- Case Study 2: Building a Resilient Media Ecosystem — Lessons from Scandinavia
- Key Takeaways: Chapter 40 — Democratic Resilience and the Inoculated Society
- Further Reading: Chapter 40 — Democratic Resilience and the Inoculated Society
Capstone: The Inoculation Campaign
Appendices
- Glossary of Key Terms
- Answers to Selected Exercises
- Bibliography
- Appendix A: Research Methods in Propaganda Studies
- Appendix B: Key Studies and Empirical Findings
- Appendix C: Primary Sources Guide
- Appendix D: Historical Timeline of Propaganda
- Appendix E: Argument Maps
- Appendix F: Propaganda Techniques Reference
- Appendix G: Media Literacy Toolkit
Python for Business for Beginners
Front Matter
Part 1: Getting Started with Python
- Part 1: Getting Started with Python
-
Chapter 1: Why Python? The Business Case for Coding
- Case Study 1.1: Priya's Monday Morning
- Case Study 1.2: Maya's Invoice Problem
- Exercises — Chapter 1: Why Python? The Business Case for Coding
- Quiz — Chapter 1: Why Python? The Business Case for Coding
- Key Takeaways — Chapter 1: Why Python? The Business Case for Coding
- Further Reading — Chapter 1: Why Python? The Business Case for Coding
-
Chapter 2: Setting Up Your Python Environment
- Case Study 2.1: Priya Sets Up Her Work Laptop
- Case Study 2.2: Maya Sets Up on a MacBook
- Exercises — Chapter 2: Setting Up Your Python Environment
- Quiz — Chapter 2: Setting Up Your Python Environment
- Key Takeaways — Chapter 2: Setting Up Your Python Environment
- Further Reading — Chapter 2: Setting Up Your Python Environment
- Chapter 3: Python Basics — Variables, Data Types, and Operators
-
Chapter 4: Control Flow — Making Decisions in Your Programs
- Case Study 1: Building Acme's Credit Limit Approval System
- Case Study 2: Maya's Project Intake Screening Tool
- Chapter 4 Exercises: Control Flow — Making Decisions in Your Programs
- Chapter 4 Quiz: Control Flow — Making Decisions in Your Programs
- Chapter 4 Key Takeaways: Control Flow
- Further Reading and Resources — Chapter 4: Control Flow
- Chapter 5: Loops and Iteration — Automating Repetitive Tasks
- Chapter 6: Functions — Building Reusable Business Logic
- Chapter 7: Data Structures — Lists, Tuples, Dictionaries, and Sets
- Chapter 8: Error Handling — Writing Robust Business Applications
Part 2: Working with Business Data
- Part 2: Working with Business Data
-
Chapter 9: File I/O — Reading and Writing Business Data
- Chapter 9 Exercises: File I/O — Reading and Writing Business Data
- Chapter 9 Quiz: File I/O — Reading and Writing Business Data
- Case Study 1: Priya Consolidates the Regional Sales Reports
- Case Study 2: Maya Builds Her Project Log System
- Chapter 9 Key Takeaways: File I/O — Reading and Writing Business Data
- Chapter 9 Further Reading: File I/O — Reading and Writing Business Data
-
Chapter 10: Introduction to pandas: Your Business Data Toolkit
- Chapter 10 Exercises: Introduction to pandas
- Chapter 10 Quiz: Introduction to pandas
- Case Study 1: Priya Builds Acme's Product Intelligence Dashboard
- Case Study 2: Maya Organizes Her Consulting Practice with pandas
- Key Takeaways: Chapter 10 — Introduction to pandas
- Further Reading and Resources: Chapter 10
-
Chapter 11: Loading and Exploring Real Business Datasets
- Chapter 11 Exercises: Loading and Exploring Real Business Datasets
- Chapter 11 Quiz: Loading and Exploring Real Business Datasets
- Case Study 11-1: Priya Explores the Acme Sales Dataset
- Case Study 11-2: Maya Explores Her Project and Customer Data
- Chapter 11 Key Takeaways: Loading and Exploring Real Business Datasets
- Chapter 11 Further Reading: Loading and Exploring Real Business Datasets
-
Chapter 12: Cleaning and Preparing Data for Analysis
- Chapter 12 Exercises: Cleaning and Preparing Data for Analysis
- Chapter 12 Quiz: Cleaning and Preparing Data for Analysis
- Case Study 12-1: Priya Cleans the Acme Sales Dataset
- Case Study 12-2: Maya Cleans Her Project Data
- Chapter 12 Key Takeaways: Cleaning and Preparing Data for Analysis
- Chapter 12 Further Reading: Cleaning and Preparing Data for Analysis
-
Chapter 13: Transforming and Aggregating Business Data
- Chapter 13 Exercises: Transforming and Aggregating Business Data
- Chapter 13 Quiz: Transforming and Aggregating Business Data
- Case Study 13-1: Priya Builds the Weekly Regional Report
- Case Study 13-2: Maya Analyzes Her Consulting Portfolio
- Chapter 13 Key Takeaways: Transforming and Aggregating Business Data
- Chapter 13 Further Reading and Resources
-
Chapter 14: Introduction to Data Visualization with matplotlib
- Chapter 14 Exercises: Introduction to Data Visualization with matplotlib
- Chapter 14 Quiz: Introduction to Data Visualization with matplotlib
- Case Study 14-1: Priya Builds Her First Dashboard
- Case Study 14-2: Maya Visualizes Her Consulting Business
- Chapter 14 Key Takeaways: Introduction to Data Visualization with matplotlib
- Chapter 14 Further Reading and Resources
-
Chapter 15: Advanced Charts and Dashboards with seaborn and plotly
- Chapter 15 Exercises: Advanced Charts and Dashboards
- Chapter 15 Quiz: Advanced Charts and Dashboards
- Case Study 15-1: Priya Builds an Interactive Dashboard for Sandra
- Case Study 15-2: Maya's Revenue Heatmap and Hours-vs-Revenue Scatter
- Chapter 15 Key Takeaways: Advanced Charts and Dashboards
- Chapter 15 Further Reading: Advanced Charts and Dashboards
-
Chapter 16: Excel and CSV Integration — Python Meets Spreadsheets
- Chapter 16 Exercises: Excel and CSV Integration
- Chapter 16 Quiz: Excel and CSV Integration
- Case Study 16-1: Priya Generates the Weekly Acme Report as a Formatted Excel Workbook
- Case Study 16-2: Maya's Complete Invoicing System
- Chapter 16 Key Takeaways: Excel and CSV Integration
- Chapter 16 Further Reading: Excel and CSV Integration
Part 3: Automation and Productivity
- Part 3: Automation and Productivity
-
Chapter 17: Automating Repetitive Office Tasks
- Exercises — Chapter 17: Automating Repetitive Office Tasks
- Quiz — Chapter 17: Automating Repetitive Office Tasks
- Case Study 1: Priya Automates Marcus's Morning File Ritual
- Case Study 2: Maya Organizes Her Project Folder
- Key Takeaways — Chapter 17: Automating Repetitive Office Tasks
- Further Reading — Chapter 17: Automating Repetitive Office Tasks
-
Chapter 18: Working with PDFs and Word Documents
- Exercises — Chapter 18: Working with PDFs and Word Documents
- Quiz — Chapter 18: Working with PDFs and Word Documents
- Case Study 1: Priya Reconciles Invoices and Generates Branded Reports
- Case Study 2: Maya Generates Client Proposal Documents
- Key Takeaways — Chapter 18: Working with PDFs and Word Documents
- Further Reading — Chapter 18: Working with PDFs and Word Documents
-
Chapter 19: Email Automation and Notifications
- Chapter 19 Exercises: Email Automation and Notifications
- Chapter 19 Quiz: Email Automation and Notifications
- Case Study 19-1: Priya Automates Sandra's Monday Morning Report
- Case Study 19-2: Maya's Late Payment Reminder System
- Chapter 19 Key Takeaways: Email Automation and Notifications
- Chapter 19 Further Reading: Email Automation and Notifications
-
Chapter 20: Web Scraping for Business Intelligence
- Chapter 20 Exercises: Web Scraping for Business Intelligence
- Chapter 20 Quiz: Web Scraping for Business Intelligence
- Case Study 20-1: Acme Corp Competitor Price Monitoring
- Case Study 20-2: Maya Monitors Job Boards for Consulting Opportunities
- Chapter 20 Key Takeaways: Web Scraping for Business Intelligence
- Chapter 20 Further Reading: Web Scraping for Business Intelligence
-
Chapter 21: Working with APIs and External Data Services
- Chapter 21 Exercises: Working with APIs and External Data Services
- Chapter 21 Quiz: Working with APIs and External Data Services
- Case Study 21-1: Priya Builds a Market Intelligence Dashboard
- Case Study 21-2: Maya Researches Prospective Clients Before Every New Business Call
- Chapter 21 Key Takeaways: Working with APIs and External Data Services
- Chapter 21 Further Reading: Working with APIs and External Data Services
-
Chapter 22: Scheduling and Task Automation
- Chapter 22 Exercises: Scheduling and Task Automation
- Chapter 22 Quiz: Scheduling and Task Automation
- Case Study 22-1: Priya's Monday Report Goes Fully Automated
- Case Study 22-2: Maya Automates Her Weekly Business Rhythm
- Chapter 22 Key Takeaways: Scheduling and Task Automation
- Chapter 22 Further Reading: Scheduling and Task Automation
- Chapter 23: Database Basics — SQL and Python with SQLite and PostgreSQL
-
Chapter 24: Connecting Python to Cloud Services
- Chapter 24 Exercises: Connecting Python to Cloud Services
- Chapter 24 Quiz: Connecting Python to Cloud Services
- Case Study 24-1: Priya Migrates Acme's Weekly Reports to the Cloud
- Case Study 24-2: Maya Automates Her Client Status Dashboard with Google Sheets
- Chapter 24 Key Takeaways: Connecting Python to Cloud Services
- Chapter 24 Further Reading: Connecting Python to Cloud Services
Part 4: Business Analytics
- Part 4: Business Analytics
-
Chapter 25: Descriptive Statistics for Business Decisions
- Chapter 25 Exercises: Descriptive Statistics for Business Decisions
- Chapter 25 Quiz: Descriptive Statistics for Business Decisions
- Case Study 25-1: Finding the Signal in the Sales Team
- Case Study 25-2: When Your Average Is a Lie
- Chapter 25 Key Takeaways: Descriptive Statistics for Business Decisions
- Chapter 25 Further Reading: Descriptive Statistics for Business Decisions
-
Chapter 26: Business Forecasting and Trend Analysis
- Chapter 26 Exercises: Business Forecasting and Trend Analysis
- Chapter 26 Quiz: Business Forecasting and Trend Analysis
- Case Study 26-1: Priya Builds the Quarterly Sales Forecast
- Case Study 26-2: Maya Forecasts Her Revenue to Make a Major Business Decision
- Chapter 26 Key Takeaways: Business Forecasting and Trend Analysis
- Chapter 26 Further Reading: Business Forecasting and Trend Analysis
-
Chapter 27: Customer Analytics and Segmentation
- Chapter 27 Exercises: Customer Analytics and Segmentation
- Chapter 27 Quiz: Customer Analytics and Segmentation
- Case Study 27-1: Priya's RFM Wake-Up Call
- Case Study 27-2: Maya's Portfolio Health Check
- Key Takeaways: Chapter 27 — Customer Analytics and Segmentation
- Further Reading: Chapter 27 — Customer Analytics and Segmentation
-
Chapter 28: Sales and Revenue Analytics
- Chapter 28 Exercises: Sales and Revenue Analytics
- Chapter 28 Quiz: Sales and Revenue Analytics
- Case Study 28-1: Priya and the West Region Discovery
- Case Study 28-2: Maya Analyzes Her Consulting Revenue
- Key Takeaways: Chapter 28 — Sales and Revenue Analytics
- Further Reading: Chapter 28 — Sales and Revenue Analytics
-
Chapter 29: Financial Modeling with Python
- Chapter 29 Exercises: Financial Modeling with Python
- Chapter 29 Quiz: Financial Modeling with Python
- Case Study 29-1: Priya Builds the Annual Revenue Model
- Case Study 29-2: Maya Models the Hiring Decision
- Chapter 29 Key Takeaways: Financial Modeling with Python
- Chapter 29 Further Reading: Financial Modeling with Python
-
Chapter 30: HR Analytics and People Data
- Chapter 30 Exercises: HR Analytics and People Data
- Chapter 30 Quiz: HR Analytics and People Data
- Case Study 30-1: Priya Investigates South Warehouse Turnover
- Case Study 30-2: Evergreen Gardens — Holiday Hiring Sustainability Analysis
- Chapter 30 Key Takeaways: HR Analytics and People Data
- Chapter 30 Further Reading: HR Analytics and People Data
-
Chapter 31: Marketing Analytics and Campaign Analysis
- Chapter 31 Exercises: Marketing Analytics and Campaign Analysis
- Chapter 31 Quiz: Marketing Analytics and Campaign Analysis
- Case Study 31-1: The Email Campaign That Revealed a Hidden Opportunity
- Case Study 31-2: Maya Finds Out Where Her Best Clients Actually Come From
- Key Takeaways: Chapter 31 — Marketing Analytics and Campaign Analysis
- Further Reading: Chapter 31 — Marketing Analytics and Campaign Analysis
-
Chapter 32: Inventory and Supply Chain Analytics
- Chapter 32: Exercises — Inventory and Supply Chain Analytics
- Chapter 32: Quiz — Inventory and Supply Chain Analytics
- Case Study 32-1: The Complete Arc — Priya's Supply Chain System Goes Live
- Case Study 32-2: Two Warehouses, One Spreadsheet, No Answers
- Chapter 32: Key Takeaways — Inventory and Supply Chain Analytics
- Chapter 32: Further Reading — Inventory and Supply Chain Analytics
Part 5: Advanced Business Applications
- Part 5: Advanced Business Applications
-
Chapter 33: Introduction to Machine Learning for Business
- Chapter 33 Exercises: Introduction to Machine Learning for Business
- Chapter 33 Quiz: Introduction to Machine Learning for Business
- Case Study 33-01: Priya Frames the Churn Prediction Problem
- Case Study 33-02: Maya and the "Do We Need AI?" Question
- Chapter 33 Key Takeaways: Introduction to Machine Learning for Business
- Chapter 33 Further Reading: Introduction to Machine Learning for Business
-
Chapter 34: Predictive Models — Regression and Classification
- Chapter 34 Exercises — Predictive Models: Regression and Classification
- Chapter 34 Quiz — Predictive Models: Regression and Classification
- Case Study 34-01: Priya Builds the Acme Churn Predictor
- Case Study 34-02: Maya Builds a Project Overrun Predictor
- Chapter 34: Key Takeaways — Predictive Models: Regression and Classification
- Chapter 34: Further Reading — Predictive Models: Regression and Classification
-
Chapter 35: Natural Language Processing for Business Text
- Chapter 35 Exercises: Natural Language Processing for Business Text
- Chapter 35 Quiz: Natural Language Processing for Business Text
- Case Study 35-1: Priya Reads 4,200 Support Tickets Before Breakfast
- Case Study 35-2: Maya Reads Two Years of Client Feedback
- Chapter 35 Key Takeaways: Natural Language Processing for Business Text
- Chapter 35 Further Reading: Natural Language Processing for Business Text
-
Chapter 36: Automated Report Generation
- Chapter 36 Exercises: Automated Report Generation
- Chapter 36 Quiz: Automated Report Generation
- Case Study 36-1: Priya Builds the Acme Board Report Generator
- Case Study 36-2: Maya Automates Her Client Status Reports
- Chapter 36 Key Takeaways: Automated Report Generation
- Chapter 36 Further Reading: Automated Report Generation
-
Chapter 37: Building Simple Business Applications with Flask
- Chapter 37 Exercises: Building Simple Business Applications with Flask
- Chapter 37 Quiz: Building Simple Business Applications with Flask
- Case Study 37-1: Priya Builds the Acme Corp Internal Dashboard
- Case Study 37-2: Maya Builds the Client-Facing Project Status Portal
- Chapter 37 Key Takeaways: Building Simple Business Applications with Flask
- Chapter 37 Further Reading: Building Simple Business Applications with Flask
-
Chapter 38: Deploying Python to the Cloud
- Chapter 38 Exercises: Deploying Python to the Cloud
- Chapter 38 Quiz: Deploying Python to the Cloud
- Case Study 38-1: Priya Deploys the Acme Dashboard to Render
- Case Study 38-2: Maya Deploys — The Arc Completes
- Chapter 38 Key Takeaways: Deploying Python to the Cloud
- Chapter 38 Further Reading: Deploying Python to the Cloud
-
Chapter 39: Python Best Practices and Collaborative Development
- Exercises — Chapter 39: Python Best Practices and Collaborative Development
- Quiz — Chapter 39: Python Best Practices and Collaborative Development
- Case Study 39-A: Priya Sets Up a Professional Repository
- Case Study 39-B: Maya Catches a Bug Her Tests Were Waiting to Find
- Key Takeaways — Chapter 39: Python Best Practices and Collaborative Development
- Further Reading — Chapter 39: Python Best Practices and Collaborative Development
-
Chapter 40: Building Your Python Business Portfolio
- Chapter 40 Exercises: Building Your Python Business Portfolio
- Chapter 40 Quiz: Building Your Python Business Portfolio
- Case Study 40-A: Priya Okonkwo — Eighteen Months of Python at Acme Corp
- Case Study 40-B: Maya Reyes — How Python Transformed a Consulting Practice
- Key Takeaways — Chapter 40: Building Your Python Business Portfolio
- Further Reading — Chapter 40: Building Your Python Business Portfolio
Quantum Mechanics: From Wavefunctions to Qubits
Front Matter
Part I: Foundations — Wave Mechanics
- Part I: Foundations — Wave Mechanics
-
Chapter 1: The Quantum Revolution: Why Classical Physics Broke and What Replaced It
- Chapter 1 Exercises: The Quantum Revolution
- Chapter 1 Quiz: The Quantum Revolution
- Case Study 1: The Stern-Gerlach Experiment — From Silver Atoms to Qubits
- Case Study 2: Blackbody Radiation — From Pottery Kilns to the Cosmic Microwave Background
- Chapter 1 Key Takeaways: The Quantum Revolution
- Chapter 1 Further Reading: The Quantum Revolution
- Chapter 2: The Wave Function and the Schrödinger Equation — The Rules of the Game
- Chapter 3: Solving the Schrödinger Equation — The Infinite Square Well and Other Exactly Solvable Problems
-
Chapter 4: The Quantum Harmonic Oscillator — The Most Important Problem in All of Physics
- Chapter 4 Exercises: The Quantum Harmonic Oscillator
- Chapter 4 Quiz: The Quantum Harmonic Oscillator
- Case Study 1: Molecular Vibrations — The Quantum Harmonic Oscillator in Chemistry
- Case Study 2: From Oscillators to Fields — How the QHO Gives Birth to Photons
- Chapter 4 Key Takeaways
- Chapter 4 Further Reading
-
Chapter 5: Quantum Mechanics in Three Dimensions: The Hydrogen Atom
- Chapter 5 Exercises: The Hydrogen Atom
- Chapter 5 Quiz: The Hydrogen Atom
- Case Study 1: The Hydrogen Spectrum — From Fraunhofer Lines to Stellar Composition
- Case Study 2: Hydrogen-Like Atoms — From He$^+$ to Muonic Hydrogen and the Proton Radius Puzzle
- Chapter 5 Key Takeaways: The Hydrogen Atom
- Chapter 5 Further Reading: The Hydrogen Atom
- Chapter 6: The Formalism — Operators, Commutators, and the Generalized Uncertainty Principle
- Chapter 7: Time Evolution and the Schrödinger vs. Heisenberg Pictures
Part II: The Mathematics of Quantum Mechanics
- Part II: The Mathematics of Quantum Mechanics
- Chapter 8: Linear Algebra for Quantum Mechanics — Vector Spaces, Operators, and Dirac Notation
- Chapter 9: Eigenvalue Problems and Spectral Theory — How Measurement Works Mathematically
- Chapter 10: Symmetry and Conservation Laws — Why Quantum Mechanics Loves Group Theory
-
Chapter 11: Tensor Products and Composite Systems — How Quantum Systems Combine
- Chapter 11 Exercises: Tensor Products and Composite Systems
- Chapter 11 Quiz: Tensor Products and Composite Systems
- Case Study 1: EPR and the Completeness of Quantum Mechanics
- Case Study 2: Quantum Entanglement as a Resource — From Teleportation to Cryptography
- Chapter 11 Key Takeaways: Tensor Products and Composite Systems
- Chapter 11 Further Reading: Tensor Products and Composite Systems
Part III: Angular Momentum and Spin
- Part III: Angular Momentum and Spin
-
Chapter 12: Angular Momentum Algebra: Raising, Lowering, and the General Theory
- Chapter 12 Exercises: Angular Momentum Algebra
- Chapter 12 Quiz: Angular Momentum Algebra
- Case Study 1: From Classical to Quantum Angular Momentum — What's Lost and What's Gained
- Case Study 2: Rotation Matrices in Practice — NMR and Molecular Spectroscopy
- Chapter 12 Key Takeaways: Angular Momentum Algebra
- Chapter 12 Further Reading: Angular Momentum Algebra
-
Chapter 13: Spin — The Quantum Property with No Classical Analogue
- Chapter 13 Exercises: Spin — The Quantum Property with No Classical Analogue
- Chapter 13 Quiz: Spin — The Quantum Property with No Classical Analogue
- Case Study 1: Sequential Stern-Gerlach — A Complete Quantum Measurement Lab
- Case Study 2: From Spin to Qubits — The Birth of Quantum Information
- Chapter 13 Key Takeaways
- Chapter 13 Further Reading
-
Chapter 14: Addition of Angular Momentum — Clebsch-Gordan Coefficients and Coupled Representations
- Chapter 14 Exercises: Addition of Angular Momentum
- Chapter 14 Quiz: Addition of Angular Momentum
- Case Study 1: Spin-Orbit Coupling — Where Angular Momentum Addition Meets Atomic Physics
- Case Study 2: Selection Rules — Why Some Transitions Are Forbidden
- Chapter 14 Key Takeaways: Addition of Angular Momentum
- Chapter 14 Further Reading: Addition of Angular Momentum
-
Chapter 15: Identical Particles — Bosons, Fermions, and the Pauli Exclusion Principle
- Chapter 15 Exercises: Identical Particles
- Chapter 15 Quiz: Identical Particles
- Case Study 1: The Exchange Interaction — Why Helium Has a Singlet and Triplet
- Case Study 2: Bose-Einstein Condensation — When Bosons Gang Up
- Chapter 15 Key Takeaways: Identical Particles
- Chapter 15 Further Reading: Identical Particles
-
Chapter 16: Multi-Electron Atoms and the Building of the Periodic Table
- Chapter 16 Exercises: Multi-Electron Atoms and the Periodic Table
- Chapter 16 Quiz: Multi-Electron Atoms and the Periodic Table
- Case Study 1: The Periodic Table: Quantum Mechanics' Greatest Triumph in Chemistry
- Case Study 2: Transition Metals and Rare Earths: Where Simple Rules Break Down
- Chapter 16 Key Takeaways: Multi-Electron Atoms and the Periodic Table
- Chapter 16 Further Reading: Multi-Electron Atoms and the Periodic Table
Part IV: Approximation Methods
- Part IV: Approximation Methods
-
Chapter 17: Time-Independent Perturbation Theory — The Non-Degenerate Case
- Chapter 17 Exercises: Time-Independent Perturbation Theory — Non-Degenerate Case
- Chapter 17 Quiz: Time-Independent Perturbation Theory — Non-Degenerate Case
- Case Study 1: The Stark Effect — Electric Fields Meet Atoms
- Case Study 2: When Perturbation Theory Fails — Strong Coupling and Non-Perturbative Physics
- Chapter 17 Key Takeaways
- Chapter 17 Further Reading
-
Chapter 18: Degenerate Perturbation Theory and Fine Structure of Hydrogen
- Chapter 18 Exercises: Degenerate Perturbation Theory and Fine Structure
- Chapter 18 Quiz: Degenerate Perturbation Theory and Fine Structure
- Case Study 1: Fine Structure — Precision Spectroscopy Meets Quantum Mechanics
- Case Study 2: The 21 cm Line — Hydrogen's Radio Signature
- Chapter 18 Key Takeaways: Degenerate Perturbation Theory and Fine Structure
- Chapter 18 Further Reading: Degenerate Perturbation Theory and Fine Structure
-
Chapter 19: The Variational Principle: When You Can't Solve It, Bound It
- Chapter 19 Exercises: The Variational Principle
- Chapter 19 Quiz: The Variational Principle
- Case Study 1: Helium — The First Three-Body Problem
- Case Study 2: Variational Methods in Quantum Chemistry
- Chapter 19 Key Takeaways: The Variational Principle
- Chapter 19 Further Reading: The Variational Principle
- Chapter 20: The WKB Approximation: Semiclassical Quantum Mechanics
- Chapter 21: Time-Dependent Perturbation Theory: Transitions and Radiation
- Chapter 22: Scattering Theory: Quantum Collisions
Part V: Modern Quantum Mechanics
- Part V: Modern Quantum Mechanics
-
Chapter 23: The Density Matrix and Mixed States: Quantum Mechanics Beyond Pure States
- Chapter 23 Exercises: The Density Matrix and Mixed States
- Chapter 23 Quiz: The Density Matrix and Mixed States
- Case Study 1: Thermal States and Statistical Mechanics
- Case Study 2: Decoherence — Why Schrodinger's Cat Is Always Dead or Alive
- Chapter 23 Key Takeaways: The Density Matrix and Mixed States
- Chapter 23 Further Reading: The Density Matrix and Mixed States
-
Chapter 24: Entanglement, Bell's Theorem, and the Foundations of Quantum Mechanics
- Chapter 24 Exercises: Entanglement, Bell's Theorem, and Foundations
- Chapter 24 Quiz: Entanglement, Bell's Theorem, and Foundations
- Case Study 1: Aspect's Experiment — Testing Bell's Theorem in the Lab
- Case Study 2: The Interpretation Debate — Where Physicists Actually Stand
- Chapter 24 Key Takeaways: Entanglement, Bell's Theorem, and the Foundations of Quantum Mechanics
- Chapter 24 Further Reading: Entanglement, Bell's Theorem, and Foundations
-
Chapter 25: Quantum Information and Computation: The Qubit and Beyond
- Chapter 25 Exercises: Quantum Information and Computation
- Chapter 25 Quiz: Quantum Information and Computation
- Case Study 1: Grover's Algorithm — Searching an Unsorted Database
- Case Study 2: Quantum Hardware — The Race to Build a Useful Quantum Computer
- Chapter 25 Key Takeaways: Quantum Information and Computation
- Chapter 25 Further Reading: Quantum Information and Computation
- Chapter 26: QM in Condensed Matter: Bands, Semiconductors, and Superconductivity
- Chapter 27: Quantum Mechanics of Light — Photons, Coherent States, and Quantum Optics
Part VI: Advanced Topics and Extensions
- Part VI: Advanced Topics and Extensions
-
Chapter 28: The Measurement Problem: What Actually Happens When You Observe a Quantum System?
- Chapter 28 Exercises: The Measurement Problem
- Chapter 28 Quiz: The Measurement Problem
- Case Study 1: Wigner's Friend — The Experiment That Tests Reality
- Case Study 2: Decoherence — The Interpretation-Neutral Progress
- Chapter 28 Key Takeaways: The Measurement Problem
- Chapter 28 Further Reading: The Measurement Problem
-
Chapter 29: Relativistic Quantum Mechanics: The Dirac Equation and What Comes Next
- Chapter 29 Exercises: Relativistic Quantum Mechanics
- Chapter 29 Quiz: Relativistic Quantum Mechanics
- Case Study 1: The Prediction of Antimatter — Dirac's Greatest Triumph
- Case Study 2: The Lamb Shift — Where Quantum Mechanics Meets Quantum Field Theory
- Chapter 29 Key Takeaways: Relativistic Quantum Mechanics
- Chapter 29 Further Reading: Relativistic Quantum Mechanics
-
Chapter 30: The State of the Art — Where Quantum Physics Is Going
- Chapter 30 Exercises: The State of the Art — Where Quantum Physics Is Going
- Chapter 30 Quiz: The State of the Art — Where Quantum Physics Is Going
- Case Study 1: Quantum Computing — From Lab to Industry
- Case Study 2: Quantum Sensing — Precision Beyond Classical Limits
- Chapter 30 Key Takeaways: The State of the Art — Where Quantum Physics Is Going
- Chapter 30 Further Reading: The State of the Art — Where Quantum Physics Is Going
Part VII: The Frontiers and the Big Questions
- Part VII: The Frontiers and the Big Questions
- Chapter 31: Path Integrals — Feynman's Formulation
-
Chapter 32: The Adiabatic Theorem and Berry Phase
- Chapter 32 Exercises: The Adiabatic Theorem and Berry Phase
- Chapter 32 Quiz: The Adiabatic Theorem and Berry Phase
- Case Study 1: Berry Phase — Geometry Meets Physics
- Case Study 2: The Aharonov-Bohm Effect
- Chapter 32 Key Takeaways: The Adiabatic Theorem and Berry Phase
- Chapter 32 Further Reading: The Adiabatic Theorem and Berry Phase
-
Chapter 33: Open Quantum Systems and Decoherence
- Chapter 33 Exercises: Open Quantum Systems and Decoherence
- Chapter 33 Quiz: Open Quantum Systems and Decoherence
- Case Study 1: Decoherence --- Why We Don't See Quantum Effects
- Case Study 2: Quantum Error Correction --- Fighting Decoherence
- Chapter 33 Key Takeaways: Open Quantum Systems and Decoherence
- Chapter 33 Further Reading: Open Quantum Systems and Decoherence
- Chapter 34: Second Quantization — From Particles to Fields
- Chapter 35: Quantum Error Correction
-
Chapter 36: Topological Phases of Matter — When Geometry Becomes Destiny
- Chapter 36 Exercises: Topological Phases of Matter
- Chapter 36 Quiz: Topological Phases of Matter
- Case Study 1: The Quantum Hall Effect — Topology in Action
- Case Study 2: Topological Quantum Computing — Nature's Error Correction
- Chapter 36 Key Takeaways: Topological Phases of Matter
- Chapter 36 Further Reading: Topological Phases of Matter
-
Chapter 37: From Quantum Mechanics to Quantum Field Theory
- Chapter 37 Exercises: From Quantum Mechanics to Quantum Field Theory
- Chapter 37 Quiz: From Quantum Mechanics to Quantum Field Theory
- Case Study 1: The Standard Model — QFT's Greatest Success
- Case Study 2: Feynman Diagrams — Pictures That Changed Physics
- Chapter 37 Key Takeaways: From Quantum Mechanics to Quantum Field Theory
- Chapter 37 Further Reading: From Quantum Mechanics to Quantum Field Theory
Part VIII: Capstones
- Part VIII: Capstones
-
Chapter 38: Capstone — Hydrogen Atom from First Principles
- Chapter 38 Exercises: Capstone — Hydrogen Atom from First Principles
- Chapter 38 Quiz: Capstone — Hydrogen Atom from First Principles
- Case Study 1: Precision Hydrogen Spectroscopy — Testing QM to 12 Digits
- Case Study 2: Muonic Hydrogen and the Proton Radius Puzzle
- Chapter 38 Key Takeaways: Capstone — Hydrogen Atom from First Principles
- Chapter 38 Further Reading: Capstone — Hydrogen Atom from First Principles
-
Chapter 39: Capstone — Bell Tests, Entanglement, and Reality
- Chapter 39 Exercises: Bell Tests, Entanglement, and Reality
- Chapter 39 Quiz: Bell Tests, Entanglement, and Reality
- Case Study 1: Loophole-Free Bell Tests — The 2015 Breakthrough
- Case Study 2: Quantum Key Distribution — From Theory to Deployed Systems
- Chapter 39 Key Takeaways: Bell Tests, Entanglement, and Reality
- Chapter 39 Further Reading: Bell Tests, Entanglement, and Reality
-
Chapter 40: Capstone — Quantum Computing: From Qubits to Algorithms
- Chapter 40 Exercises: Capstone — Quantum Computing: From Qubits to Algorithms
- Chapter 40 Quiz: Capstone — Quantum Computing: From Qubits to Algorithms
- Case Study 1: Quantum Advantage: Has It Been Achieved?
- Case Study 2: Building a Quantum Computer — Hardware Challenges
- Chapter 40 Key Takeaways: Capstone — Quantum Computing: From Qubits to Algorithms
- Chapter 40 Further Reading: Capstone — Quantum Computing: From Qubits to Algorithms
Appendices
- Appendix A: Mathematical Reference for Quantum Mechanics
- Appendix B: Python Quantum Simulation Toolkit
- Appendix C: Physical Constants and Unit Conversions
- Appendix D: Notation Guide
- Appendix E: Python Environment Setup
- Appendix F: Key Experiments in Quantum Mechanics
- Appendix G: Answers to Selected Exercises
- Appendix H: Glossary of Key Terms
- Appendix I: Index
- Appendix J: Bibliography and Recommended Reading
Regulatory Technology (RegTech)
Front Matter
Part 1: Foundations of RegTech
- Part 1: Foundations of RegTech
- Chapter 1: What Is RegTech? History, Definitions, and the Compliance Crisis
- Chapter 2: The Regulatory Landscape: Financial Regulation and Its Architecture
- Chapter 3: The RegTech Ecosystem: Players, Platforms, and Market Dynamics
- Chapter 4: Technology Foundations: AI, ML, NLP, and Automation in Compliance
- Chapter 5: Data Architecture for Regulatory Compliance
Part 2: Identity, KYC, and AML
- Part 2: Identity, KYC, and AML
- Chapter 6: KYC Fundamentals: Identity Verification at Scale
- Chapter 7: AML Transaction Monitoring: Rules-Based vs. AI-Driven Approaches
- Chapter 8: Sanctions Screening: Watchlists, False Positives, and Calibration
- Chapter 9: Beneficial Ownership and Corporate Transparency
- Chapter 10: Customer Risk Rating and Enhanced Due Diligence
- Chapter 11: Suspicious Activity Reporting and Case Management
Part 3: Risk Management and Regulatory Reporting
- Part 3: Risk Management and Regulatory Reporting
- Chapter 12: Operational Risk and Technology Risk Management
- Chapter 13: Regulatory Reporting — From XBRL to API-Based Reporting
-
Chapter 14: Market Risk and the Basel Framework in Practice
- Chapter 14 Exercises
- Chapter 14 Quiz
- Case Study 14.1: The P&L Attribution Failure — Priya's FRTB Readiness Audit at Halcyon Securities
- Case Study 14.2: Cornerstone's Market Risk Transformation — From VaR to FRTB
- Key Takeaways — Chapter 14: Market Risk and the Basel Framework in Practice
- Further Reading
-
Chapter 15: Credit Risk Modelling and Model Risk Management
- Chapter 15 Exercises: Credit Risk Modelling and Model Risk Management
- Chapter 15 Quiz: Credit Risk Modelling and Model Risk Management
- Case Study 15.1: Priya's Credit Model Audit — Discovering the Override Problem at Northgate Bank
- Case Study 15.2: Cornerstone's IFRS 9 Model Validation Crisis — When PSI Tells You the Model Is Gone
- Chapter 15: Key Takeaways — Credit Risk Modelling and Model Risk Management
- Chapter 15: Further Reading — Credit Risk Modelling and Model Risk Management
-
Chapter 16: Stress Testing and Scenario Analysis
- Chapter 16 Exercises: Stress Testing and Scenario Analysis
- Chapter 16 Quiz: Stress Testing and Scenario Analysis
- Case Study 16.1: Cornerstone's ICAAP Under Scrutiny — The PRA's Deep Dive
- Case Study 16.2: Rafael Helps a Regional Bank Design Its First DFAST Submission
- Chapter 16: Key Takeaways — Stress Testing and Scenario Analysis
- Chapter 16: Further Reading — Stress Testing and Scenario Analysis
-
Chapter 17: Data Privacy, GDPR, and Cross-Border Data Compliance
- Chapter 17 Exercises: Data Privacy, GDPR, and Cross-Border Data Compliance
- Chapter 17 Quiz: Data Privacy, GDPR, and Cross-Border Data Compliance
- Case Study 17.1: Maya's AML vs. GDPR Dilemma — The Subject Access Request from a Suspicious Customer
- Case Study 17.2: Cornerstone's Schrems II Response — Renegotiating Data Transfers Post-Privacy Shield
- Chapter 17 Key Takeaways: Data Privacy, GDPR, and Cross-Border Data Compliance
- Chapter 17 Further Reading: Data Privacy, GDPR, and Cross-Border Data Compliance
Part 4: Trading Compliance and Market Surveillance
- Part 4: Trading Compliance and Market Surveillance
-
Chapter 18: MiFID II, MiFIR, and Best Execution Compliance
- Chapter 18 Exercises: MiFID II, MiFIR, and Best Execution Compliance
- Chapter 18 Quiz: MiFID II, MiFIR, and Best Execution Compliance
- Case Study 1: Cornerstone Financial Group and the FCA Best Execution Thematic Review
- Case Study 2: Meridian Asset Management and the ESMA Transaction Reporting Data Quality Review
- Chapter 18: Key Takeaways — MiFID II, MiFIR, and Best Execution Compliance
- Chapter 18: Further Reading — MiFID II, MiFIR, and Best Execution Compliance
-
Chapter 19: Market Surveillance: Detecting Manipulation and Abuse
- Chapter 19 Exercises: Market Surveillance: Detecting Manipulation and Abuse
- Chapter 19 Quiz: Market Surveillance: Detecting Manipulation and Abuse
- Case Study 1: The EUR Corporate Bond Spoofing Investigation at Cornerstone Financial Group
- Case Study 2: Building a First Communications Surveillance Program at Meridian Asset Management
- Chapter 19 Key Takeaways: Market Surveillance: Detecting Manipulation and Abuse
- Chapter 19 Further Reading: Market Surveillance: Detecting Manipulation and Abuse
-
Chapter 20: Pre-Trade and Post-Trade Transparency Requirements
- Chapter 20: Exercises — Pre-Trade and Post-Trade Transparency Requirements
- Chapter 20: Quiz — Pre-Trade and Post-Trade Transparency Requirements
- Case Study 1: The Dark Pool at the Edge of the Cap
- Case Study 2: Finding Gaps in the Bond Tape
- Chapter 20: Key Takeaways — Pre-Trade and Post-Trade Transparency Requirements
- Chapter 20: Further Reading — Pre-Trade and Post-Trade Transparency Requirements
-
Chapter 21: Algorithmic Trading Controls and Kill Switches
- Chapter 21 Exercises
- Chapter 21 Quiz
- Case Study 21.1: The Algorithm That Didn't Know It Was Wrong — Cornerstone's Pre-Trade Control Gap
- Case Study 21.2: Building Algorithmic Trading Controls for a New Entrant — Priya's Challenge at Aether Capital
- Key Takeaways — Chapter 21: Algorithmic Trading Controls and Kill Switches
- Further Reading
-
Chapter 22: Trade Surveillance — Spoofing, Layering, and Front-Running Detection
- Chapter 22 Exercises: Trade Surveillance — Spoofing, Layering, and Front-Running Detection
- Chapter 22 Quiz: Trade Surveillance — Spoofing, Layering, and Front-Running Detection
- Case Study 1: The Interest Rate Futures Layering Investigation at Cornerstone Financial Group
- Case Study 2: Designing a Cross-Asset Surveillance Program — Equity and Equity Derivatives at Altenburg Investment Bank
- Chapter 22: Key Takeaways — Trade Surveillance: Spoofing, Layering, and Front-Running Detection
- Chapter 22: Further Reading — Trade Surveillance: Spoofing, Layering, and Front-Running Detection
Part 5: Emerging Technologies in RegTech
- Part Five: Emerging Technologies in RegTech
-
Chapter 23: NLP for Regulatory Intelligence and Horizon Scanning
- Chapter 23: Exercises — NLP for Regulatory Intelligence and Horizon Scanning
- Chapter 23: Quiz — NLP for Regulatory Intelligence and Horizon Scanning
- Case Study 23-1: The Consultation Paper Nobody Read — How Meridian Asset Management Missed a Reporting Deadline
- Case Study 23-2: When the Algorithm Got the Law Wrong — LLM Hallucination in a Compliance Context
- Chapter 23: Key Takeaways — NLP for Regulatory Intelligence and Horizon Scanning
- Chapter 23: Further Reading — NLP for Regulatory Intelligence and Horizon Scanning
-
Chapter 24: Blockchain, Smart Contracts, and Immutable Audit Trails
- Chapter 24: Exercises — Blockchain, Smart Contracts, and Immutable Audit Trails
- Chapter 24: Quiz — Blockchain, Smart Contracts, and Immutable Audit Trails
- Case Study 24.1: Cornerstone's Trade Finance Blockchain Pilot — When Compliance Meets Immutability
- Case Study 24.2: The Smart Contract That Didn't Know About the Regulatory Change
- Chapter 24: Key Takeaways — Blockchain, Smart Contracts, and Immutable Audit Trails
- Chapter 24: Further Reading — Blockchain, Smart Contracts, and Immutable Audit Trails
- Chapter 25: Machine Learning in Fraud Detection
-
Chapter 26: Explainable AI (XAI) and Model Governance
- Chapter 26: Exercises — Explainable AI (XAI) and Model Governance
- Chapter 26: Quiz — Explainable AI (XAI) and Model Governance
- Case Study 1: Meridian's Shadow Model Problem
- Case Study 2: The Fairness Audit That Changed the Credit Model
- Chapter 26: Key Takeaways — Explainable AI (XAI) and Model Governance
- Chapter 26: Further Reading — Explainable AI (XAI) and Model Governance
-
Chapter 27: Cloud Compliance — Regulatory Requirements for Cloud Adoption
- Chapter 27: Exercises — Cloud Compliance: Regulatory Requirements for Cloud Adoption
- Chapter 27: Quiz — Cloud Compliance: Regulatory Requirements for Cloud Adoption
- Chapter 27: Case Study 1 — Verdant's AWS Migration: The Compliance Checklist They Forgot
- Chapter 27: Case Study 2 — Cornerstone's Concentration Problem: Three Critical Systems, One Cloud Provider
- Chapter 27: Key Takeaways — Cloud Compliance: Regulatory Requirements for Cloud Adoption
- Chapter 27: Further Reading — Cloud Compliance: Regulatory Requirements for Cloud Adoption
-
Chapter 28: RegTech APIs, Open Finance, and Interoperability
- Chapter 28: Exercises — RegTech APIs, Open Finance, and Interoperability
- Chapter 28: Quiz — RegTech APIs, Open Finance, and Interoperability
- Case Study 01: The Expired Consent That Triggered a GDPR Complaint
- Case Study 02: Cornerstone's API Integration Program — Connecting 12 Compliance Systems
- Chapter 28: Key Takeaways — RegTech APIs, Open Finance, and Interoperability
- Chapter 28: Further Reading — RegTech APIs, Open Finance, and Interoperability
Part 6: Governance, Ethics, and Law
- Part Six: Governance, Ethics, and Law
-
Chapter 29: Algorithmic Fairness and Bias in Compliance Systems
- Exercises — Chapter 29: Algorithmic Fairness and Bias in Compliance Systems
- Quiz — Chapter 29: Algorithmic Fairness and Bias in Compliance Systems
- Case Study 01: Cornerstone's AML System — When Monitoring Creates Disparate Impact
- Case Study 02: Priya's Vendor Assessment — Demanding Disaggregated Performance
- Key Takeaways — Chapter 29: Algorithmic Fairness and Bias in Compliance Systems
- Further Reading — Chapter 29: Algorithmic Fairness and Bias in Compliance Systems
-
Chapter 30: The EU AI Act and Algorithmic Accountability
- Exercises — Chapter 30: The EU AI Act and Algorithmic Accountability
- Quiz — Chapter 30: The EU AI Act and Algorithmic Accountability
- Case Study 01 — Chapter 30: The EU AI Act and Algorithmic Accountability
- Case Study 02 — Chapter 30: The EU AI Act and Algorithmic Accountability
- Key Takeaways — Chapter 30: The EU AI Act and Algorithmic Accountability
- Further Reading — Chapter 30: The EU AI Act and Algorithmic Accountability
-
Chapter 31: Regulatory Sandboxes — Innovation Meets Oversight
- Chapter 31 Exercises: Regulatory Sandboxes — Innovation Meets Oversight
- Chapter 31 Quiz: Regulatory Sandboxes — Innovation Meets Oversight
- Case Study 31-1: What Verdant Bank Learned in the FCA Sandbox
- Case Study 31-2: Priya's Cross-Border GFIN Application
- Chapter 31 Key Takeaways: Regulatory Sandboxes — Innovation Meets Oversight
- Chapter 31 Further Reading: Regulatory Sandboxes — Innovation Meets Oversight
-
Chapter 32: Global RegTech — US, EU, UK, APAC Comparative Landscape
- Chapter 32: Exercises — Global RegTech: US, EU, UK, APAC Comparative Landscape
- Chapter 32: Quiz — Global RegTech: US, EU, UK, APAC Comparative Landscape
- Chapter 32: Case Study 1 — Cornerstone's Multi-Jurisdictional AML Platform Selection
- Chapter 32: Case Study 2 — Rafael's Advice: When One Framework Creates Compliance Problems in Another
- Chapter 32: Key Takeaways — Global RegTech: US, EU, UK, APAC Comparative Landscape
- Chapter 32: Further Reading — Global RegTech: US, EU, UK, APAC Comparative Landscape
- Chapter 33: Cybersecurity Regulations — DORA, NIST, and Operational Resilience
- Chapter 34: Ethics in Automated Decision-Making
Part 7: Strategy and Implementation
- Part 7: Strategy and Implementation
-
Chapter 35: Building a RegTech Program — Strategy, Governance, and Roadmapping
- Chapter 35 Exercises — Building a RegTech Program: Strategy, Governance, and Roadmapping
- Chapter 35 Quiz — Building a RegTech Program: Strategy, Governance, and Roadmapping
- Case Study 35.1 — Priya's First 100 Days: From Shopping List to Strategy at Fenchurch Asset Management
- Case Study 35.2 — The Governance Vacuum: Why Cornerstone's RegTech Programme Stalled
- Chapter 35 Key Takeaways — Building a RegTech Program: Strategy, Governance, and Roadmapping
- Chapter 35 Further Reading — Building a RegTech Program: Strategy, Governance, and Roadmapping
-
Chapter 36: Vendor Selection, Due Diligence, and Implementation Management
- Chapter 36 Exercises — Vendor Selection, Due Diligence, and Implementation Management
- Chapter 36 Quiz — Vendor Selection, Due Diligence, and Implementation Management
- Case Study 36.1 — Rafael's Worst-Case Contract: The AML Platform That Held Its Client Hostage
- Case Study 36.2 — Priya's Implementation Recovery: When the Go-Live Went Wrong
- Chapter 36: Key Takeaways — Vendor Selection, Due Diligence, and Implementation Management
- Chapter 36: Further Reading — Vendor Selection, Due Diligence, and Implementation Management
- Chapter 37: Change Management for Compliance Transformation
-
Chapter 38: RegTech ROI — Measuring and Communicating Compliance Efficiency
- Chapter 38: Exercises — RegTech ROI: Measuring and Communicating Compliance Efficiency
- Chapter 38: Quiz — RegTech ROI: Measuring and Communicating Compliance Efficiency
- Case Study 38.1: Maya's Board Presentation — RegTech ROI at Verdant Bank
- Case Study 38.2: Priya's Business Case That Wasn't — When the Numbers Don't Work
- Chapter 38: Key Takeaways — RegTech ROI: Measuring and Communicating Compliance Efficiency
- Chapter 38: Further Reading — RegTech ROI: Measuring and Communicating Compliance Efficiency
-
Chapter 39: The Future of RegTech — SupTech, Digital Regulation, and What's Next
- Chapter 39: Exercises — The Future of RegTech
- Chapter 39: Quiz — The Future of RegTech
- Case Study 39.1: Maya and the FCA's Direct Data Request — When SupTech Arrived at Verdant
- Case Study 39.2: Priya's LLM Experiment — What Worked, What Didn't, and the Lesson
- Chapter 39: Key Takeaways — The Future of RegTech
- Chapter 39: Further Reading — The Future of RegTech
Part 8: Capstone
Appendices
Science Of Seduction
Part I: Foundations — The Science of Human Connection
- Part I: Foundations — The Science of Human Connection
-
Chapter 1: Why Study Seduction? The Science Behind the Game
- Chapter 1 Exercises: Why Study Seduction? The Science Behind the Game
- Chapter 1 Quiz: Why Study Seduction? The Science Behind the Game
- Case Study 1.1: The Viral Study That Wasn't
- Case Study 1.2: The Ethics of Attraction Research
- Chapter 1 Key Takeaways: Why Study Seduction? The Science Behind the Game
- Chapter 1 Further Reading
-
Chapter 2: A Brief History of Courtship — From Arranged Marriage to Algorithmic Matching
- Chapter 2 Exercises: A Brief History of Courtship
- Chapter 2 Quiz: A Brief History of Courtship
- Case Study 2.1: Arranging Love in the Digital Age
- Case Study 2.2: Tinder and the Transformation of Dating
- Chapter 2 Key Takeaways: A Brief History of Courtship
- Chapter 2 Further Reading: A Brief History of Courtship
- Chapter 3: How Scientists Study Attraction — Research Methods and Their Limits
- Chapter 4: The Language of Desire — Key Concepts and Theoretical Frameworks
-
Chapter 5: The Ethical Compass — Consent, Power, and the Boundaries of Influence
- Chapter 5 Exercises: The Ethical Compass — Consent, Power, and the Boundaries of Influence
- Chapter 5 Quiz: The Ethical Compass — Consent, Power, and the Boundaries of Influence
- Case Study 5.1: The Persistence Problem
- Case Study 5.2: Charm, Confidence, and the Manipulation Line
- Chapter 5 Key Takeaways: The Ethical Compass — Consent, Power, and the Boundaries of Influence
- Chapter 5 Further Reading: The Ethical Compass — Consent, Power, and the Boundaries of Influence
Part II: The Biology of Attraction
- Part II: The Biology of Attraction
- Chapter 6: The Neuroscience of Desire — Dopamine, Oxytocin, and the Chemistry of Love
-
Chapter 7: Evolutionary Psychology and Mate Selection — What Darwin Can and Cannot Tell Us
- Chapter 7 Exercises: Evolutionary Psychology and Mate Selection
- Chapter 7 Quiz: Evolutionary Psychology and Mate Selection
- Case Study 7.1: The Waist-to-Hip Ratio — A Finding That Got More Complicated
- Case Study 7.2: Female Choice and the Overlooked Agent — Sarah Blaffer Hrdy and the Reformation of Evolutionary Storytelling
- Chapter 7 Key Takeaways
- Chapter 7 Further Reading
- Chapter 8: Physical Attractiveness — Symmetry, Signals, and the Social Construction of Beauty
-
Chapter 9: Scent, Sound, and the Senses — Nonvisual Channels of Attraction
- Chapter 9 Exercises: Scent, Sound, and the Senses
- Chapter 9 Quiz: Scent, Sound, and the Senses
- Case Study 9.1: The Sweaty T-Shirt Study — Replication and Controversy
- Case Study 9.2: Voice as Attraction Signal
- Chapter 9 Key Takeaways: Scent, Sound, and the Senses
- Chapter 9 Further Reading: Scent, Sound, and the Senses
-
Chapter 10: The Biology-Culture Feedback Loop — How Nature and Nurture Co-construct Attraction
- Chapter 10 Exercises: The Biology-Culture Feedback Loop
- Chapter 10 Quiz: The Biology-Culture Feedback Loop
- Case Study 10.1: Sexual Fluidity Across the Life Course
- Case Study 10.2: What Testosterone Actually Does
- Chapter 10 Key Takeaways: The Biology-Culture Feedback Loop
- Chapter 10 Further Reading: The Biology-Culture Feedback Loop
Part III: The Psychology of Wanting
- Part III: The Psychology of Wanting
-
Chapter 11: Attachment Theory and Adult Romance — How Your Childhood Shapes Your Love Life
- Chapter 11 Exercises: Attachment Theory and Adult Romance
- Chapter 11 Quiz: Attachment Theory and Adult Romance
- Case Study 11.1: The Anxious-Avoidant Dance
- Case Study 11.2: Earned Security
- Chapter 11 Key Takeaways: Attachment Theory and Adult Romance
- Chapter 11 Further Reading: Attachment Theory and Adult Romance
-
Chapter 12: Cognitive Biases in Attraction — Why We Want What We Want
- Chapter 12 Exercises: Cognitive Biases in Attraction
- Chapter 12 Quiz: Cognitive Biases in Attraction
- Case Study 12.1: The Bridge Study — Arousal Misattribution in the Wild
- Case Study 12.2: The Algorithm and the Bias
- Chapter 12 Key Takeaways: Cognitive Biases in Attraction
- Chapter 12 Further Reading: Cognitive Biases in Attraction
-
Chapter 13: Self-Esteem, Self-Perception, and Desirability — The Mirror and the Market
- Chapter 13 Exercises: Self-Esteem, Self-Perception, and Desirability
- Chapter 13 Quiz: Self-Esteem, Self-Perception, and Desirability
- Case Study 13.1: Instagram, Appearance Comparison, and Romantic Self-Confidence
- Case Study 13.2: Racial Identity and Self-Perceived Romantic Desirability
- Chapter 13 Key Takeaways
- Chapter 13 Further Reading
-
Chapter 14: The Psychology of Rejection — Why It Hurts and What It Means
- Chapter 14 Exercises: The Psychology of Rejection
- Chapter 14 Quiz: The Psychology of Rejection
- Case Study 14.1: Rejection Sensitivity in the Digital Age — How App Environments Amplify Vulnerability
- Case Study 14.2: From Rejection to Resilience — Longitudinal Research on Recovery and Growth
- Chapter 14 Key Takeaways
- Chapter 14 Further Reading
-
Chapter 15: Personality and Attraction — Beyond "Opposites Attract"
- Chapter 15 Exercises: Personality and Attraction
- Chapter 15 Quiz: Personality and Attraction
- Case Study 15.1: The Dark Triad and Short-Term Mating — Science, Silence, and the Ethics of a Literature
- Case Study 15.2: Introversion and Dating Apps — Does Digital Courtship Level the Playing Field?
- Chapter 15 Key Takeaways: Personality and Attraction
- Chapter 15 Further Reading: Personality and Attraction
-
Chapter 16: Motivation and Goal Pursuit in Courtship — Approach, Avoidance, and Vulnerability
- Chapter 16 Exercises: Motivation and Goal Pursuit in Courtship
- Chapter 16 Quiz: Motivation and Goal Pursuit in Courtship
- Case Study 16.1: Who Texts First? — Gendered Scripts and Their Persistence in Digital Courtship
- Case Study 16.2: The Avoidance Architecture — A Composite Portrait of Persistent Non-Initiation
- Chapter 16 Key Takeaways: Motivation and Goal Pursuit in Courtship
- Chapter 16 Further Reading: Motivation and Goal Pursuit in Courtship
Part IV: Communication and Interaction
- Part IV: Communication and Interaction
-
Chapter 17: Verbal Communication in Courtship — What We Say and What It Means
- Chapter 17 Exercises: Verbal Communication in Courtship
- Chapter 17 Quiz: Verbal Communication in Courtship
- Case Study 17.1: The 36 Questions — What the Research Actually Shows
- Case Study 17.2: The Pickup Line Economy — Scripted Language as Courtship Commodity
- Chapter 17 Key Takeaways: Verbal Communication in Courtship
- Chapter 17 Further Reading: Verbal Communication in Courtship
- Chapter 18: Nonverbal Communication — Reading and Sending Signals
- Chapter 19: Flirtation as Social Performance — Scripts, Improvisation, and Ambiguity
- Chapter 20: Digital Communication and Online Dating — Swipes, DMs, and the Paradox of Choice
- Chapter 21: The Role of Humor — Why Funny Is Attractive (and When It Isn't)
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Chapter 22: Silence, Space, and Absence — What We Communicate by Not Communicating
- Chapter 22 Exercises: Silence, Space, and Absence
- Chapter 22 Quiz: Silence, Space, and Absence
- Case Study 22.1: The Psychology of Ghosting
- Case Study 22.2: Playing Hard to Get — What the Research Actually Shows
- Chapter 22 Key Takeaways: Silence, Space, and Absence
- Chapter 22 Further Reading: Silence, Space, and Absence
Part V: Social and Cultural Contexts
- Part V: Social and Cultural Contexts
-
Chapter 23: Gender, Sexuality, and Scripts — How Social Roles Shape Courtship
- Chapter 23 Exercises: Gender, Sexuality, and Scripts
- Chapter 23 Quiz: Gender, Sexuality, and Scripts
- Case Study 23.1: "Women Should Wait" — The Persistence of the No-First-Text Norm
- Case Study 23.2: The "New Man" and Script Negotiation
- Chapter 23 Key Takeaways: Gender, Sexuality, and Scripts
- Chapter 23 Further Reading: Gender, Sexuality, and Scripts
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Chapter 24: LGBTQ+ Courtship — Beyond the Heteronormative Frame
- Chapter 24 Exercises: LGBTQ+ Courtship — Beyond the Heteronormative Frame
- Chapter 24 Quiz: LGBTQ+ Courtship — Beyond the Heteronormative Frame
- Case Study 24.1: Grindr and the Transformation of Gay Male Courtship
- Case Study 24.2: Trans People and Disclosure — Navigating a Persistent Risk
- Chapter 24 Key Takeaways: LGBTQ+ Courtship — Beyond the Heteronormative Frame
- Chapter 24 Further Reading: LGBTQ+ Courtship — Beyond the Heteronormative Frame
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Chapter 25: Race, Ethnicity, and the Politics of Desire — Who Is Desirable and Why?
- Chapter 25 Exercises: Race, Ethnicity, and the Politics of Desire
- Chapter 25 Quiz: Race, Ethnicity, and the Politics of Desire
- Case Study 25.1: The OkCupid Racial Data — What *Dataclysm* Showed and What It Didn't
- Case Study 25.2: Fetishization and the Asian-American Experience
- Chapter 25 Key Takeaways: Race, Ethnicity, and the Politics of Desire
- Chapter 25 Further Reading: Race, Ethnicity, and the Politics of Desire
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Chapter 26: Class, Status, and Mate Value — The Economics of Attraction
- Chapter 26 Exercises: Class, Status, and Mate Value
- Chapter 26 Quiz: Class, Status, and Mate Value
- Case Study 26.1: The Rise of Educational Homogamy and What It Means for Class Mobility
- Case Study 26.2: Subscription Tiers and Dating Inequality — Class Reproduction in Digital Courtship
- Chapter 26 Key Takeaways: Class, Status, and Mate Value
- Chapter 26 Further Reading: Class, Status, and Mate Value
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Chapter 27: Culture, Religion, and Courtship Norms — A Global Perspective
- Chapter 27 Exercises: Culture, Religion, and Courtship Norms
- Chapter 27 Quiz: Culture, Religion, and Courtship Norms
- Case Study 27.1: Halal Dating Apps and the Navigation of Tradition in Digital Space
- Case Study 27.2: Japan's Marriage Crisis — Structural Forces Behind Declining Rates
- Chapter 27 Key Takeaways: Culture, Religion, and Courtship Norms
- Chapter 27 Further Reading: Culture, Religion, and Courtship Norms
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Chapter 28: Age, Life Stage, and the Changing Landscape of Desire
- Chapter 28 Exercises: Age, Life Stage, and the Changing Landscape of Desire
- Chapter 28 Quiz: Age, Life Stage, and the Changing Landscape of Desire
- Case Study 28.1: Silver Dating — The Landscape of Romantic Partnership After 60
- Case Study 28.2: The Age Gap Debate — Research, Power, and the Half-Plus-Seven Heuristic
- Chapter 28 Key Takeaways: Age, Life Stage, and the Changing Landscape of Desire
- Chapter 28 Further Reading: Age, Life Stage, and the Changing Landscape of Desire
Part VI: The Dark Side — Manipulation, Industry, and Harm
- Part VI: The Dark Side — Manipulation, Industry, and Harm
-
Chapter 29: The Seduction Industry — PUAs, Dating Coaches, and the Commodification of Connection
- Chapter 29 Exercises: The Seduction Industry — PUAs, Dating Coaches, and the Commodification of Connection
- Chapter 29 Quiz: The Seduction Industry — PUAs, Dating Coaches, and the Commodification of Connection
- Case Study 29.1: *The Game* — The Book That Mainstreamed PUA Culture
- Case Study 29.2: From PUA to Incel — The Radicalization Pipeline
- Chapter 29 Key Takeaways: The Seduction Industry
- Chapter 29 Further Reading: The Seduction Industry
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Chapter 30: Manipulation and Coercion — Where Influence Becomes Abuse
- Chapter 30 Exercises: Manipulation and Coercion — Where Influence Becomes Abuse
- Chapter 30 Quiz: Manipulation and Coercion — Where Influence Becomes Abuse
- Case Study 30.1: Love Bombing — The Psychological Mechanism Behind Overwhelming Early Affection
- Case Study 30.2: The Coercive Control Act — Legal Recognition of Non-Physical Abuse
- Chapter 30 Key Takeaways: Manipulation and Coercion — Where Influence Becomes Abuse
- Chapter 30 Further Reading: Manipulation and Coercion — Where Influence Becomes Abuse
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Chapter 31: Objectification and the Male Gaze — Seeing and Being Seen
- Chapter 31 Exercises: Objectification and the Male Gaze
- Chapter 31 Quiz: Objectification and the Male Gaze
- Case Study 31.1: The "Bra Burning" Myth and the Evolution of Feminist Responses to Objectification
- Case Study 31.2: Scrolling Through Instagram as Self-Objectification Practice
- Chapter 31 Key Takeaways: Objectification and the Male Gaze
- Chapter 31 Further Reading: Objectification and the Male Gaze
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Chapter 32: Rejection, Harassment, and Violence — When "No" Is Not Accepted
- Chapter 32 Exercises: Rejection, Harassment, and Violence
- Chapter 32 Quiz: Rejection, Harassment, and Violence
- Case Study 32.1: The Sociology of Stalking — Who Stalks, Who Is Victimized, and What Helps
- Case Study 32.2: Bystander Intervention — What the Evidence Shows
- Chapter 32 Key Takeaways: Rejection, Harassment, and Violence
- Chapter 32 Further Reading: Rejection, Harassment, and Violence
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Chapter 33: Technology and Harm — Catfishing, Revenge Porn, and Algorithmic Discrimination
- Chapter 33 Exercises: Technology and Harm — Catfishing, Revenge Porn, and Algorithmic Discrimination
- Chapter 33 Quiz: Technology and Harm — Catfishing, Revenge Porn, and Algorithmic Discrimination
- Case Study 33.1: The NCII Crisis — Prevalence, Impact, and the Inadequacy of Current Legal Responses
- Case Study 33.2: Romance Scams — Financial Devastation, Psychological Mechanics, and What Vulnerability Reveals
- Chapter 33 Key Takeaways: Technology and Harm
- Chapter 33 Further Reading: Technology and Harm
Part VII: Applied Contexts
- Part VII: Applied Contexts
-
Chapter 34: Attraction in the Workplace — Power, Policy, and Professional Boundaries
- Chapter 34 Exercises: Attraction in the Workplace
- Chapter 34 Quiz: Attraction in the Workplace
- Case Study 34-1: The Professor-Student Romance — Institutional Power and the Limits of Consent
- Case Study 34-2: France vs. the United States — Cultural Norms, Workplace Flirtation, and the Role of Context
- Chapter 34 Key Takeaways: Attraction in the Workplace
- Chapter 34 Further Reading: Attraction in the Workplace
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Chapter 35: Media Representations of Seduction — From Shakespeare to Netflix
- Chapter 35 Exercises: Media Representations of Seduction
- Chapter 35 Quiz: Media Representations of Seduction
- Case Study 35-1: The Persistence Narrative — *Say Anything*, *The Notebook*, and What Research Tells Us
- Case Study 35-2: Reality Dating Shows and Social Comparison — *The Bachelor* and Its Discontents
- Chapter 35 Key Takeaways: Media Representations of Seduction
- Chapter 35 Further Reading: Media Representations of Seduction
- Chapter 36: The Hookup Culture Debate — Moral Panic or Legitimate Concern?
- Chapter 37: Love, Attachment, and Long-Term Relationships — What Happens After Seduction
- Chapter 38: The Future of Courtship — AI, Virtual Reality, and Post-Human Desire
Part VIII: Integration and Analysis
- Part VIII: Integration and Analysis
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Chapter 39: Building an Integrated Model — Biopsychosociocultural Attraction Theory
- Chapter 39 Exercises: Building an Integrated Model
- Chapter 39 Quiz: Building an Integrated Model
- Case Study 39.1: Applying the BPSC Model — One Attraction Event, Four Lenses
- Case Study 39.2: The BPSC Model in Practice — Designing Multi-Level Research
- Chapter 39 Key Takeaways: Building an Integrated Model
- Chapter 39 Further Reading: Building an Integrated Model
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Chapter 40: Critical Thinking About Attraction Research — Becoming an Informed Consumer
- Chapter 40 Exercises: Critical Thinking About Attraction Research
- Chapter 40 Quiz: Critical Thinking About Attraction Research
- Case Study 40.1: Reading a Published Meta-Analysis — What the Aggregate Tells Us (and Hides)
- Case Study 40.2: The Press Release Problem — Tracing the Gap from Study to Headline
- Chapter 40 Key Takeaways: Critical Thinking About Attraction Research
- Chapter 40 Further Reading: Critical Thinking About Attraction Research
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Chapter 41: Personal Reflection and Ethical Practice — Applying the Science to Your Own Life
- Chapter 41 Exercises: Personal Reflection and Ethical Practice
- Chapter 41 Quiz: Personal Reflection and Ethical Practice
- Case Study 41.1: The Over-Analysis Trap — When Insight Gets in the Way
- Case Study 41.2: Bringing It Together — A Composite Case of Applied Frameworks
- Chapter 41 Key Takeaways: Personal Reflection and Ethical Practice
- Chapter 41 Further Reading: Personal Reflection and Ethical Practice
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Chapter 42: Open Questions and Future Directions — What We Still Don't Know
- Chapter 42 Exercises: Open Questions and Future Directions
- Chapter 42 Quiz: Open Questions and Future Directions
- Case Study 42.1: The Chemistry Problem — What Is That Inexplicable Click?
- Case Study 42.2: Prediction Failure — Why Algorithms Cannot Find Your Person
- Chapter 42 Key Takeaways: Open Questions and Future Directions
- Chapter 42 Further Reading: Open Questions and Future Directions
Part IX: Capstone Projects
Appendices
- Appendix A: Research Methods Primer
- Appendix B: Key Studies in Attraction Science — Annotated Summary
- Appendix C: The Swipe Right Dataset — Codebook and Python Toolkit
- Appendix D: Historical Timeline of Courtship and Sexuality
- Appendix E: Self-Assessment Instruments
- Appendix F: Glossary
- Appendix G: Answers to Selected Exercises
- Appendix H: Bibliography — Chapter-by-Chapter
The Sports Betting Textbook
Frontmatter
Part I: Foundations of Sports Betting
- Part I: Foundations of Sports Betting
-
Chapter 1: Introduction to Sports Betting
- Chapter 1 Exercises: Introduction to Sports Betting
- Chapter 1 Quiz: Introduction to Sports Betting
- Case Study 1: The Fall and Rise of Legal Sports Betting in America
- Case Study 2: Anatomy of a Sportsbook — How the Vig Really Works
- Chapter 1 Key Takeaways: Introduction to Sports Betting
- Chapter 1 Further Reading: Introduction to Sports Betting
- Chapter 2: Probability and Odds
-
Chapter 3: Expected Value and the Bettor's Edge
- Chapter 3 Exercises: Expected Value and the Bettor's Edge
- Chapter 3 Quiz: Expected Value and the Bettor's Edge
- Case Study: The Professional Bettor's First Season --- An EV Analysis
- Case Study: Closing Line Value --- The Ultimate Edge Metric
- Chapter 3 Key Takeaways: Expected Value and the Bettor's Edge
- Chapter 3 Further Reading: Expected Value and the Bettor's Edge
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Chapter 4: Bankroll Management Fundamentals
- Chapter 4 Exercises: Bankroll Management Fundamentals
- Chapter 4 Quiz: Bankroll Management Fundamentals
- Case Study 1: Kelly Criterion in Action — Managing a $10,000 Betting Bankroll
- Case Study 2: Risk of Ruin — Why Smart Bettors Still Go Broke
- Chapter 4: Key Takeaways — Bankroll Management Fundamentals
- Chapter 4: Further Reading — Bankroll Management Fundamentals
- Chapter 5: Data Literacy for Bettors
Part II: Statistical Foundations
- Part II: Statistical Foundations for Sports Betting
-
Chapter 6: Descriptive Statistics for Sports
- Chapter 6 Exercises: Descriptive Statistics for Sports
- Chapter 6 Quiz: Descriptive Statistics for Sports
- Case Study 1: NFL Team Consistency — Which Teams Are Predictable?
- Case Study 2: The Home Court Advantage — A Statistical Breakdown
- Chapter 6 Key Takeaways: Descriptive Statistics for Sports
- Chapter 6 Further Reading: Descriptive Statistics for Sports
-
Chapter 7: Probability Distributions in Betting
- Chapter 7 Exercises: Probability Distributions in Betting
- Chapter 7 Quiz: Probability Distributions in Betting
- Case Study: Poisson Modeling of Soccer — Predicting Match Outcomes
- Case Study: Are NBA Win Streaks Real or Random?
- Chapter 7: Key Takeaways — Probability Distributions in Betting
- Chapter 7: Further Reading — Probability Distributions in Betting
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Chapter 8: Hypothesis Testing and Statistical Significance
- Chapter 8 Exercises: Hypothesis Testing and Statistical Significance
- Chapter 8 Quiz: Hypothesis Testing and Statistical Significance
- Case Study 1: Is This Bettor Skilled or Lucky? A Statistical Investigation
- Case Study 2: The Thursday Night Football Effect — Myth or Reality?
- Chapter 8: Key Takeaways
- Chapter 8: Further Reading
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Chapter 9: Regression Analysis for Sports Modeling
- Chapter 9 Exercises: Regression Analysis for Sports Modeling
- Chapter 9 Quiz: Regression Analysis for Sports Modeling
- Case Study: Building an NFL Game Totals Model with Regression
- Case Study: Logistic Regression for NBA Moneyline Predictions
- Chapter 9 Key Takeaways: Regression Analysis for Sports Modeling
- Chapter 9 Further Reading: Regression Analysis for Sports Modeling
-
Chapter 10: Bayesian Thinking for Bettors
- Chapter 10 Exercises: Bayesian Thinking for Bettors
- Chapter 10 Quiz: Bayesian Thinking for Bettors
- Case Study: Bayesian Tracking of NFL Team Strength Through a Season
- Case Study: Hierarchical Bayesian Model for NBA Team Strength Estimation
- Chapter 10 Key Takeaways: Bayesian Thinking for Bettors
- Chapter 10 Further Reading: Bayesian Thinking for Bettors
Part III: The Betting Marketplace
- Part III: The Betting Marketplace
-
Chapter 11: Understanding Betting Markets
- Chapter 11 Exercises: Understanding Betting Markets
- Chapter 11 Quiz: Understanding Betting Markets
- Case Study: Tracking Line Movement in NFL Week 1
- Case Study: Are Closing Lines Really Efficient?
- Chapter 11 Key Takeaways: Understanding Betting Markets
- Chapter 11 Further Reading: Understanding Betting Markets
-
Chapter 12: Line Shopping and Market Analysis
- Chapter 12 Exercises: Line Shopping and Odds Optimization
- Chapter 12 Quiz: Line Shopping and Odds Optimization
- Case Study: The $14,000 Season --- How One Bettor's Line Shopping Transformed Their NFL Results
- Case Study: Closing Line Value Across 5,000 Bets --- Separating Skill from Luck
- Chapter 12 Key Takeaways: Line Shopping and Market Analysis
- Chapter 12 Further Reading: Line Shopping and Market Analysis
-
Chapter 13: Value Betting Theory and Practice
- Chapter 13 Exercises: Value Betting Theory and Practice
- Chapter 13 Quiz: Value Betting Theory and Practice
- Case Study: Building an Edge from Scratch --- One Model's Journey from Idea to Profit
- Case Study: The Decay and Renewal of a Betting Edge --- Adapting Through Three Market Regimes
- Chapter 13 Key Takeaways: Value Betting Theory and Practice
- Chapter 13 Further Reading: Value Betting Theory and Practice
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Chapter 14: Advanced Bankroll and Staking Strategies
- Chapter 14 Exercises: Advanced Bankroll and Staking Strategies
- Chapter 14 Quiz: Advanced Bankroll and Staking Strategies
- Case Study 1: Building a Kelly-Optimal Portfolio for a Full NFL Sunday
- Case Study 2: Surviving a 30% Drawdown -- A Season-Long Bankroll Management Journal
- Chapter 14 Key Takeaways: Advanced Bankroll and Staking Strategies
- Chapter 14 Further Reading: Advanced Bankroll and Staking Strategies
Part IV: Sport-Specific Modeling
- Part IV: Sport-Specific Modeling
- Chapter 15: Modeling the NFL
- Chapter 16: Modeling the NBA
- Chapter 17: Modeling MLB
- Chapter 18: Modeling the NHL
-
Chapter 19: Modeling Soccer
- Chapter 19 Exercises: Modeling Soccer
- Chapter 19 Quiz: Modeling Soccer
- Case Study 1: Building and Backtesting a Dixon-Coles Model for the Premier League
- Case Study 2: The xG Regression Trade Across European Leagues
- Chapter 19: Key Takeaways - Modeling Soccer
- Chapter 19: Further Reading - Modeling Soccer
-
Chapter 20: Modeling College Sports
- Chapter 20 Exercises: Modeling College Sports
- Chapter 20 Quiz: Modeling College Sports
- Case Study 1: Building a Season-Long College Football Power Rating System
- Case Study 2: Exploiting College Football Market Inefficiencies
- Chapter 20: Key Takeaways - Modeling College Sports
- Chapter 20: Further Reading - Modeling College Sports
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Chapter 21: Modeling Combat Sports and Tennis
- Chapter 21 Exercises: Modeling Combat Sports and Tennis
- Chapter 21 Quiz: Modeling Combat Sports and Tennis
- Case Study 1: Building a Surface-Adjusted Tennis Elo System for ATP Betting
- Case Study 2: MMA Fight Prediction System with Style Matchup and Physical Attributes
- Chapter 21: Key Takeaways - Modeling Combat Sports and Tennis
- Chapter 21: Further Reading - Modeling Combat Sports and Tennis
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Chapter 22: Modeling Emerging Markets
- Chapter 22 Exercises: Modeling Emerging Markets
- Chapter 22 Quiz: Modeling Emerging Markets
- Case Study 1: Building an Esports Match Prediction System for CS2
- Case Study 2: Golf Tournament Prediction with Strokes Gained and Course Fit
- Chapter 22: Key Takeaways - Modeling Emerging Markets
- Chapter 22: Further Reading - Modeling Emerging Markets
Part V: Advanced Quantitative Methods
- Part V: Advanced Quantitative Methods
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Chapter 23: Time Series Analysis for Betting
- Chapter 23 Exercises: Time Series Analysis for Betting
- Chapter 23 Quiz: Time Series Analysis for Betting
- Case Study 1: Detecting Team Performance Changepoints in the NBA
- Case Study 2: Mean Reversion in NFL Passing Efficiency
- Chapter 23 Key Takeaways: Time Series Analysis for Betting
- Chapter 23 Further Reading: Time Series Analysis for Betting
-
Chapter 24: Simulation and Monte Carlo Methods
- Chapter 24 Exercises: Simulation and Monte Carlo Methods
- Chapter 24 Quiz: Simulation and Monte Carlo Methods
- Case Study: Simulating an NBA Season to Identify Futures Market Inefficiencies
- Case Study: Bootstrap and Permutation Analysis of a Sports Betting Track Record
- Chapter 24 Key Takeaways: Simulation and Monte Carlo Methods
- Chapter 24 Further Reading: Simulation and Monte Carlo Methods
-
Chapter 25: Optimization Methods for Betting
- Chapter 25 Exercises: Optimization Methods for Betting
- Chapter 25 Quiz: Optimization Methods for Betting
- Case Study: Building an Automated Arbitrage Detection and Execution System
- Case Study: Portfolio Optimization for a Multi-Sport Betting Operation
- Chapter 25 Key Takeaways: Optimization Methods for Betting
- Chapter 25 Further Reading: Optimization Methods for Betting
-
Chapter 26: Ratings and Ranking Systems
- Chapter 26 Exercises: Ratings and Ranking Systems
- Chapter 26 Quiz: Ratings and Ranking Systems
- Case Study 1: Building an NFL Elo Rating System from Scratch
- Case Study 2: Ensemble Rating System for College Basketball
- Chapter 26 Key Takeaways: Ratings and Ranking Systems
- Chapter 26 Further Reading: Ratings and Ranking Systems
-
Chapter 27: Advanced Regression and Classification
- Chapter 27 Exercises: Advanced Regression and Classification
- Chapter 27 Quiz: Advanced Regression and Classification
- Case Study 1: XGBoost NBA Game Prediction with Calibration
- Case Study 2: SHAP-Driven Model Auditing for NFL Betting
- Chapter 27 Key Takeaways: Advanced Regression and Classification
- Chapter 27 Further Reading: Advanced Regression and Classification
Part VI: Machine Learning
- Part VI: Machine Learning for Sports Betting
-
Chapter 28: Feature Engineering for Sports Prediction
- Chapter 28 Exercises: Feature Engineering for Sports Betting
- Chapter 28 Quiz: Feature Engineering for Sports Betting
- Case Study 1: Feature Engineering for NFL Win Prediction
- Case Study 2: Temporal Features That Predict NBA Upsets
- Chapter 28 Key Takeaways: Feature Engineering for Sports Betting
- Chapter 28 Further Reading: Feature Engineering for Sports Betting
-
Chapter 29: Neural Networks for Sports Prediction
- Chapter 29 Exercises: Neural Networks for Sports Prediction
- Chapter 29 Quiz: Neural Networks for Sports Prediction
- Case Study 1: Entity Embeddings for NBA Team Representation
- Case Study 2: LSTM Models for Detecting NBA Team Performance Regime Changes
- Chapter 29 Key Takeaways: Neural Networks for Sports Prediction
- Chapter 29 Further Reading: Neural Networks for Sports Prediction
-
Chapter 30: Model Evaluation and Selection
- Chapter 30 Exercises: Model Evaluation and Selection
- Chapter 30 Quiz: Model Evaluation and Selection
- Case Study 1: Walk-Forward Evaluation of NBA Prediction Models
- Case Study 2: Calibration Analysis and Backtesting of an NBA Betting Model
- Chapter 30 Key Takeaways: Model Evaluation and Selection
- Chapter 30 Further Reading: Model Evaluation and Selection
-
Chapter 31: The Complete ML Betting Pipeline
- Chapter 31 Exercises: The Complete ML Betting Pipeline
- Chapter 31 Quiz: The Complete ML Betting Pipeline
- Case Study 1: Building an NBA Prediction Pipeline from Scratch
- Case Study 2: Detecting and Recovering from Pipeline Failures
- Chapter 31 Key Takeaways: The Complete ML Betting Pipeline
- Chapter 31 Further Reading: The Complete ML Betting Pipeline
-
Chapter 32: Natural Language Processing for Betting
- Chapter 32 Exercises: Natural Language Processing for Betting
- Chapter 32 Quiz: Natural Language Processing for Betting
- Case Study 1: Building an NBA Injury Sentiment Signal from Scratch
- Case Study 2: Measuring the Speed of Information in NFL Betting Markets
- Key Takeaways: Natural Language Processing for Betting
- Further Reading: Natural Language Processing for Betting
Part VII: Live Betting and Advanced Markets
- Part VII: Live Betting and Advanced Markets
- Chapter 33: Live and In-Play Betting
-
Chapter 34: Prop Bets and Player Markets
- Chapter 34 Exercises: Prop Bets and Player Markets
- Chapter 34 Quiz: Prop Bets and Player Markets
- Case Study 1: Building an NBA Player Prop Projection System
- Case Study 2: Same-Game Parlay Correlation Analysis and Value Detection
- Chapter 34: Key Takeaways -- Prop Bets and Player Markets
- Chapter 34: Further Reading -- Prop Bets and Player Markets
-
Chapter 35: Futures and Season-Long Markets
- Chapter 35 Exercises: Futures and Season-Long Markets
- Chapter 35 Quiz: Futures and Season-Long Markets
- Case Study 1: Building a Monte Carlo Win Total Projection System
- Case Study 2: Dynamic Futures Hedging and Portfolio Management
- Chapter 35: Key Takeaways -- Futures and Season-Long Markets
- Chapter 35: Further Reading -- Futures and Season-Long Markets
Part VIII: Psychology and Discipline
- Part VIII: Psychology and Discipline
-
Chapter 36: The Psychology of Betting
- Chapter 36 Exercises: The Psychology of Betting
- Chapter 36 Quiz: The Psychology of Betting
- Case Study 1: Bias Audit --- Analyzing 1,000 Betting Decisions
- Case Study 2: The Tilt Diary --- A Season of Emotional Tracking
- Chapter 36 Key Takeaways: The Psychology of Betting
- Chapter 36 Further Reading: The Psychology of Betting
-
Chapter 37: Discipline, Systems, and Record-Keeping
- Chapter 37 Exercises: Discipline, Systems, and Record-Keeping
- Chapter 37 Quiz: Discipline, Systems, and Record-Keeping
- Case Study 1: Building a Professional Betting Journal from Scratch
- Case Study 2: The Discipline Breakdown --- A Bettor's Worst Month
- Chapter 37 Key Takeaways: Discipline, Systems, and Record-Keeping
- Chapter 37 Further Reading: Discipline, Systems, and Record-Keeping
-
Chapter 38: Risk Management and Responsible Gambling
- Chapter 38 Exercises: Risk Management and Responsible Gambling
- Chapter 38 Quiz: Risk Management and Responsible Gambling
- Case Study 1: When the Safety Net Catches You --- A Loss Limit System in Action
- Case Study 2: Crossing the Line --- A Professional Bettor's Self-Assessment Journey
- Chapter 38 Key Takeaways
- Chapter 38 Further Reading
Part IX: Industry and Future
- Part IX: Industry and Future
-
Chapter 39: The Sports Betting Industry
- Chapter 39 Exercises: The Sports Betting Industry
- Chapter 39 Quiz: The Sports Betting Industry
- Case Study: Modeling Sportsbook Hold Percentages Across Market Types
- Case Study: Simulating Sportsbook Customer Economics and Profitability
- Chapter 39 Key Takeaways: The Sports Betting Industry
- Chapter 39 Further Reading: The Sports Betting Industry
-
Chapter 40: The Future of Sports Betting
- Chapter 40 Exercises: The Future of Sports Betting
- Chapter 40 Quiz: The Future of Sports Betting
- Case Study: Building a Betting Exchange Simulator and Trading Strategy
- Case Study: Micro-Betting Pricing and Profitability Analysis
- Chapter 40 Key Takeaways: The Future of Sports Betting
- Chapter 40 Further Reading: The Future of Sports Betting
Part X: Capstone
- Part X: Capstone
-
Chapter 41: Putting It All Together
- Chapter 41 Exercises: Putting It All Together
- Chapter 41 Quiz: Putting It All Together
- Case Study 41.1: Building an End-to-End NBA Betting System
- Case Study 41.2: Multi-Sport Portfolio Management and Performance Attribution
- Chapter 41 Key Takeaways: Putting It All Together
- Chapter 41 Further Reading: Putting It All Together
-
Chapter 42: Research Frontiers
- Chapter 42 Exercises: Research Frontiers
- Chapter 42 Quiz: Research Frontiers
- Case Study 42.1: Applying Causal Inference to NBA Rest Advantage
- Case Study 42.2: Reinforcement Learning for Adaptive Bankroll Management
- Chapter 42 Key Takeaways: Research Frontiers
- Chapter 42 Further Reading: Research Frontiers
- Capstone Project 1: Complete NFL Prediction and Betting System
- Capstone Project 2: Multi-Sport Arbitrage and Value Detection Platform
- Capstone Project 3: Season-Long Betting Simulation Challenge
The Architecture Of Surveillance
Part I: Foundations
- Part 1: Foundations of Surveillance
-
Chapter 1: What Is Surveillance? Defining the Watcher and the Watched
- Chapter 1 Exercises: What Is Surveillance?
- Chapter 1 Self-Assessment Quiz: What Is Surveillance?
- Case Study 1.1: The Warehouse and the Algorithm — Productivity Monitoring at Fulfillment Centers
- Case Study 1.2: The Doorbell That Watches the Neighborhood — Ring, Amazon, and Domestic Surveillance Networks
- Key Takeaways — Chapter 1: What Is Surveillance?
- Further Reading — Chapter 1: What Is Surveillance?
-
Chapter 2: The Panopticon — Bentham's Dream, Foucault's Nightmare
- Chapter 2 Exercises: The Panopticon
- Chapter 2 Self-Assessment Quiz: The Panopticon
- Case Study 2.1: The Open Campus — Surveillance Architecture at an American University
- Case Study 2.2: The Performance Review — Seeing and Being Seen at Work
- Key Takeaways — Chapter 2: The Panopticon
- Further Reading — Chapter 2: The Panopticon
-
Chapter 3: Pre-Modern Surveillance — Spies, Confessionals, and Census Rolls
- Chapter 3 Exercises: Pre-Modern Surveillance
- Chapter 3 Self-Assessment Quiz: Pre-Modern Surveillance
- Case Study 3.1: The Stasi — The World's Most Extensive Human Surveillance Network
- Case Study 3.2: Mapping the Colony — Cartography as Surveillance in British India
- Key Takeaways — Chapter 3: Pre-Modern Surveillance
- Further Reading — Chapter 3: Pre-Modern Surveillance
-
Chapter 4: The Industrial Eye — Factory Floors, Time Cards, and Scientific Management
- Chapter 4 Exercises: The Industrial Eye
- Chapter 4 Self-Assessment Quiz: The Industrial Eye
- Case Study 4.1: Uber and the Algorithmic Foreman — Gig Economy Surveillance
- Case Study 4.2: The Mugshot Goes Digital — Facial Recognition and the Legacy of Bertillon
- Key Takeaways — Chapter 4: The Industrial Eye
- Further Reading — Chapter 4: The Industrial Eye
-
Chapter 5: Power, Knowledge, and the Gaze — Theoretical Frameworks for Surveillance
- Chapter 5 Exercises: Power, Knowledge, and the Gaze
- Chapter 5 Self-Assessment Quiz: Power, Knowledge, and the Gaze
- Case Study 5.1: Predictive Policing and the PredPol Algorithm — Social Sorting in Law Enforcement
- Case Study 5.2: Cambridge Analytica and the Behavioral Modification of Democracy
- Key Takeaways — Chapter 5: Power, Knowledge, and the Gaze
- Further Reading — Chapter 5: Power, Knowledge, and the Gaze
Part II: State Surveillance
- Part 2: State Surveillance — The Most Powerful Watcher
-
Chapter 6: The National Security State — From COINTELPRO to PRISM
- Chapter 6 Exercises: The National Security State
- Chapter 6 Quiz: The National Security State
- Case Study 6.1: The FBI's War on Martin Luther King Jr.
- Case Study 6.2: The Snowden Moment — What Was Revealed and What Changed
- Chapter 6 Key Takeaways: The National Security State
- Chapter 6 Further Reading: The National Security State
-
Chapter 7: Border Control and Biometric Databases
- Chapter 7 Exercises: Border Control and Biometric Databases
- Chapter 7 Quiz: Border Control and Biometric Databases
- Case Study 7.1: The Muslim Travel Ban and Algorithmic Exclusion
- Case Study 7.2: Eurodac, Dublin, and the Biometric Governance of Asylum
- Chapter 7 Key Takeaways: Border Control and Biometric Databases
- Chapter 7 Further Reading: Border Control and Biometric Databases
-
Chapter 8: CCTV and the Surveilled City
- Chapter 8 Exercises: CCTV and the Surveilled City
- Chapter 8 Quiz: CCTV and the Surveilled City
- Case Study 8.1: Chicago's Surveillance Infrastructure and the Predictive Policing Controversy
- Case Study 8.2: London's Facial Recognition Trials and the Future of the Surveilled City
- Chapter 8 Key Takeaways: CCTV and the Surveilled City
- Chapter 8 Further Reading: CCTV and the Surveilled City
-
Chapter 9: Intelligence Agencies and Mass Interception
- Chapter 9 Exercises: Intelligence Agencies and Mass Interception
- Chapter 9 Quiz: Intelligence Agencies and Mass Interception
- Case Study 9.1: The GCHQ TEMPORA Program — Bulk Collection and the Transatlantic Partnership
- Case Study 9.2: The Signal Protocol and the Encryption Countermovement
- Chapter 9 Key Takeaways: Intelligence Agencies and Mass Interception
- Chapter 9 Further Reading: Intelligence Agencies and Mass Interception
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Chapter 10: Authoritarianism and Total Surveillance — China's Social Credit System
- Chapter 10 Exercises: Authoritarianism and Total Surveillance
- Chapter 10 Quiz: Authoritarianism and Total Surveillance
- Case Study 10.1: The Uyghur Surveillance State — Technology, Ethnicity, and Human Rights
- Case Study 10.2: Hungary and the Weaponization of Surveillance Against Democracy
- Chapter 10 Key Takeaways: Authoritarianism and Total Surveillance
- Chapter 10 Further Reading: Authoritarianism and Total Surveillance
Part III: Commercial Surveillance
- Part 3: Commercial Surveillance
- Chapter 11: The Data Economy — Your Attention Is the Product
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Chapter 12: Browser Cookies, Tracking Pixels, and the Third-Party Data Ecosystem
- Chapter 12 Exercises: Browser Cookies, Tracking Pixels, and the Third-Party Data Ecosystem
- Chapter 12 Quiz: Browser Cookies, Tracking Pixels, and the Third-Party Data Ecosystem
- Case Study 12.1: The AddThis Canvas Fingerprinting Disclosure
- Case Study 12.2: The GDPR Cookie Wars — European Consent Compliance in Practice
- Key Takeaways: Chapter 12 — Browser Cookies, Tracking Pixels, and the Third-Party Data Ecosystem
- Further Reading: Chapter 12 — Browser Cookies, Tracking Pixels, and the Third-Party Data Ecosystem
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Chapter 13: Social Media as Observation Tower
- Chapter 13 Exercises: Social Media as Observation Tower
- Chapter 13 Quiz: Social Media as Observation Tower
- Case Study 13.1: The Facebook Emotional Contagion Experiment — Research Ethics in the Attention Economy
- Case Study 13.2: Instagram, Adolescents, and the Internal Research Problem
- Key Takeaways: Chapter 13 — Social Media as Observation Tower
- Further Reading: Chapter 13 — Social Media as Observation Tower
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Chapter 14: Behavioral Targeting and Real-Time Bidding
- Chapter 14 Exercises: Behavioral Targeting and Real-Time Bidding
- Chapter 14 Quiz: Behavioral Targeting and Real-Time Bidding
- Case Study 14.1: Cambridge Analytica — When Commercial Surveillance Met Political Manipulation
- Case Study 14.2: Facebook Housing Ads and the National Fair Housing Alliance Settlement
- Key Takeaways: Chapter 14 — Behavioral Targeting and Real-Time Bidding
- Further Reading: Chapter 14 — Behavioral Targeting and Real-Time Bidding
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Chapter 15: Smart Devices and the Internet of Things
- Chapter 15 Exercises: Smart Devices and the Internet of Things
- Chapter 15 Quiz: Smart Devices and the Internet of Things
- Case Study 15.1: Amazon Echo and the Alexa Recordings — What Lives in the Cloud
- Case Study 15.2: GM and the OnStar Data Sale — When Your Car Becomes a Data Broker
- Key Takeaways: Chapter 15 — Smart Devices and the Internet of Things
- Further Reading: Chapter 15 — Smart Devices and the Internet of Things
Part IV: Domestic and Personal Surveillance
- Part 4: Domestic and Personal Surveillance
- Chapter 16: Ring Doorbells and the Privatization of Public Watching
- Chapter 17: Baby Monitors, Nanny Cams, and the Surveilled Home
- Chapter 18: Smartphone Surveillance: Location Data and Digital Exhaust
- Chapter 19: Relationship Surveillance: Stalkerware, Parental Controls, and Trust
- Chapter 20: Self-Surveillance: The Quantified Self and Voluntary Monitoring
Part V: Environmental and Scientific Surveillance
- Part 5: Environmental and Scientific Surveillance
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Chapter 21: Satellite Imagery and Remote Sensing
- Chapter 21 Exercises: Satellite Imagery and Remote Sensing
- Chapter 21 Quiz: Satellite Imagery and Remote Sensing
- Case Study 21-1: Bellingcat and the MH17 Investigation — When Open-Source Imagery Became Evidence
- Case Study 21-2: Planet Labs and Amazon Deforestation — The Planet That Photographs Itself
- Key Takeaways: Chapter 21 — Satellite Imagery and Remote Sensing
- Further Reading: Chapter 21 — Satellite Imagery and Remote Sensing
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Chapter 22: Birdsong Monitoring and Environmental Surveillance
- Chapter 22 Exercises: Birdsong Monitoring and Environmental Surveillance
- Chapter 22 Quiz: Birdsong Monitoring and Environmental Surveillance
- Case Study 22-1: ShotSpotter in Chicago — Acoustic Surveillance, Race, and the Evidentiary Chain
- Case Study 22-2: Rainforest Connection and the Listening Forest — Conservation Surveillance in Practice
- Key Takeaways: Chapter 22 — Birdsong Monitoring and Environmental Surveillance
- Further Reading: Chapter 22 — Birdsong Monitoring and Environmental Surveillance
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Chapter 23: Weather Surveillance and Climate Monitoring
- Chapter 23 Exercises: Weather Surveillance and Climate Monitoring
- Chapter 23 Quiz: Weather Surveillance and Climate Monitoring
- Case Study 23-1: Hurricane Florence and the Private Weather Ecosystem — Who Owns the Storm?
- Case Study 23-2: COVID-19 Wastewater Surveillance — When Environmental Monitoring Becomes Population Health Surveillance
- Key Takeaways: Chapter 23 — Weather Surveillance and Climate Monitoring
- Further Reading: Chapter 23 — Weather Surveillance and Climate Monitoring
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Chapter 24: Epidemiological Surveillance — Tracking Disease and Population
- Chapter 24 Exercises: Epidemiological Surveillance
- Chapter 24 Quiz: Epidemiological Surveillance
- Case Study 24-1: The Tuskegee Syphilis Study — The Shadow Over Epidemiological Trust
- Case Study 24-2: The UK Biobank — Genetic Surveillance, Equity, and the Data Commons Problem
- Key Takeaways: Chapter 24 — Epidemiological Surveillance
- Further Reading: Chapter 24 — Epidemiological Surveillance
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Chapter 25: Urban Sensors and Smart City Infrastructure
- Chapter 25 Exercises: Urban Sensors and Smart City Infrastructure
- Chapter 25 Quiz: Urban Sensors and Smart City Infrastructure
- Case Study 25-1: San Diego's Smart Streetlights — The Efficiency Argument and Its Limits
- Case Study 25-2: The License Plate Reader Data Economy — Vigilant Solutions and the Privatization of Vehicle Location History
- Key Takeaways: Chapter 25 — Urban Sensors and Smart City Infrastructure
- Further Reading: Chapter 25 — Urban Sensors and Smart City Infrastructure
Part VI: Workplace Surveillance
- Part 6: Workplace Surveillance
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Chapter 26: Performance Reviews and the Measured Employee
- Chapter 26 Exercises: Performance Reviews and the Measured Employee
- Chapter 26 Quiz: Performance Reviews and the Measured Employee
- Case Study 26-1: The Wells Fargo Account Fraud Scandal — Goodhart's Law at Scale
- Case Study 26-2: Stack Ranking and the Killing of Microsoft's Innovation Culture
- Key Takeaways: Chapter 26 — Performance Reviews and the Measured Employee
- Further Reading: Chapter 26 — Performance Reviews and the Measured Employee
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Chapter 27: Remote Work Surveillance — Screenshot Tools and Productivity Monitoring
- Chapter 27 Exercises: Remote Work Surveillance
- Chapter 27 Quiz: Remote Work Surveillance
- Case Study 27-1: Crossover WorkSmart and the Extreme Monitoring Model
- Case Study 27-2: The NLRB and Amazon's Monitoring of Union Organizers
- Key Takeaways: Chapter 27 — Remote Work Surveillance
- Further Reading: Chapter 27 — Remote Work Surveillance
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Chapter 28: Algorithmic Management — When the Boss Is an AI
- Chapter 28 Exercises: Algorithmic Management — When the Boss Is an AI
- Chapter 28 Quiz: Algorithmic Management — When the Boss Is an AI
- Case Study 28-1: Uber's Psychological Manipulation of Drivers — Algorithmic Nudging
- Case Study 28-2: The RWDSU and Amazon Bessemer — Organizing Against the Algorithm
- Key Takeaways: Chapter 28 — Algorithmic Management
- Further Reading: Chapter 28 — Algorithmic Management
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Chapter 29: HR Analytics and Predictive Hiring
- Chapter 29 Exercises: HR Analytics and Predictive Hiring
- Chapter 29 Quiz: HR Analytics and Predictive Hiring
- Case Study 29-1: Pymetrics and the Gamified Hiring Screen
- Case Study 29-2: The Illinois Artificial Intelligence Video Interview Act
- Key Takeaways: Chapter 29 — HR Analytics and Predictive Hiring
- Further Reading: Chapter 29 — HR Analytics and Predictive Hiring
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Chapter 30: Whistleblowing, Dissent, and Organizational Surveillance
- Chapter 30 Exercises: Whistleblowing, Dissent, and Organizational Surveillance
- Chapter 30 Quiz: Whistleblowing, Dissent, and Organizational Surveillance
- Case Study 30-1: Frances Haugen and the Facebook Papers — A Surveillance Studies Analysis
- Case Study 30-2: OSHA Retaliation — The Recordable Incident Pressure and the Pattern of Punishing the Injured
- Key Takeaways: Chapter 30 — Whistleblowing, Dissent, and Organizational Surveillance
- Further Reading: Chapter 30 — Whistleblowing, Dissent, and Organizational Surveillance
Part VII: Resistance, Ethics, and Futures
- Part 7: Resistance, Ethics, and Futures
- Chapter 31: Privacy as a Right: Legal Frameworks and Constitutional Protections
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Chapter 32: Counter-Surveillance: Encryption, Anonymization, and Obfuscation
- Chapter 32 Exercises: Counter-Surveillance
- Chapter 32 Quiz: Counter-Surveillance
- Case Study 32-1: Edward Snowden and the Architecture of Secure Communication
- Case Study 32-2: Data Shadows — Truckers and the Limits of Technical Counter-Surveillance
- Key Takeaways: Chapter 32 — Counter-Surveillance
- Further Reading: Chapter 32 — Counter-Surveillance
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Chapter 33: Art and Activism Against Surveillance
- Chapter 33 Exercises: Art and Activism Against Surveillance
- Chapter 33 Quiz: Art and Activism Against Surveillance
- Case Study 33-1: Trevor Paglen and the Geography of Secret Surveillance
- Case Study 33-2: Stop LAPD Spying Coalition and the Fight Against Predictive Policing
- Key Takeaways: Chapter 33 — Art and Activism Against Surveillance
- Further Reading: Chapter 33 — Art and Activism Against Surveillance
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Chapter 34: Surveillance Capitalism and Its Critics
- Chapter 34 Exercises: Surveillance Capitalism and Its Critics
- Chapter 34 Quiz: Surveillance Capitalism and Its Critics
- Case Study 34-1: Cambridge Analytica and the Behavioral Futures Market in Politics
- Case Study 34-2: Google Project Maven and the Limits of Corporate Ethics Commitments
- Key Takeaways: Chapter 34 — Surveillance Capitalism and Its Critics
- Further Reading: Chapter 34 — Surveillance Capitalism and Its Critics
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Chapter 35: Facial Recognition: The Face as a Data Point
- Chapter 35 Exercises: Facial Recognition
- Chapter 35 Quiz: Facial Recognition
- Case Study 35-1: Joy Buolamwini and the Algorithmic Justice League
- Case Study 35-2: Facial Recognition at the U.S.-Mexico Border
- Key Takeaways: Chapter 35 — Facial Recognition
- Further Reading: Chapter 35 — Facial Recognition
Part VIII: Capstone and Synthesis
- Part 8: Capstone and Synthesis
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Chapter 36: Racial Surveillance and the Discriminatory Gaze
- Exercises — Chapter 36: Racial Surveillance and the Discriminatory Gaze
- Quiz — Chapter 36: Racial Surveillance and the Discriminatory Gaze
- Case Study 36-1: The Chicago Heat List — Predictive Surveillance and the Presumption of Dangerousness
- Case Study 36-2: Standing Rock and the Surveillance of Indigenous Resistance
- Key Takeaways — Chapter 36: Racial Surveillance and the Discriminatory Gaze
- Further Reading — Chapter 36: Racial Surveillance and the Discriminatory Gaze
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Chapter 37: Children Under the Gaze: Schools, Apps, and Protective vs. Controlling Surveillance
- Exercises — Chapter 37: Children Under the Gaze
- Quiz — Chapter 37: Children Under the Gaze
- Case Study 37-1: Gaggle at Scale — When AI Reads Student Email
- Case Study 37-2: YouTube Kids and the Monetization of Childhood Attention
- Key Takeaways — Chapter 37: Children Under the Gaze
- Further Reading — Chapter 37: Children Under the Gaze
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Chapter 38: The Future of Surveillance: Predictive Policing, AI, and Brain-Computer Interfaces
- Exercises — Chapter 38: The Future of Surveillance
- Quiz — Chapter 38: The Future of Surveillance
- Case Study 38-1: Xinjiang — The World's Most Advanced Surveillance State as Laboratory and Warning
- Case Study 38-2: Clearview AI — When the Entire Internet Becomes a Biometric Database
- Key Takeaways — Chapter 38: The Future of Surveillance
- Further Reading — Chapter 38: The Future of Surveillance
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Chapter 39: Designing for Privacy: Architecture, Technology, and Policy Responses
- Exercises — Chapter 39: Designing for Privacy
- Quiz — Chapter 39: Designing for Privacy
- Case Study 39-1: Signal — Privacy by Design as Structural Commitment
- Case Study 39-2: Oakland's Surveillance Ordinance — Community Control in Practice
- Key Takeaways — Chapter 39: Designing for Privacy
- Further Reading — Chapter 39: Designing for Privacy
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Chapter 40: Living Under the Gaze — Synthesis and Student Manifesto
- Exercises — Chapter 40: Living Under the Gaze — Synthesis and Student Manifesto
- Quiz — Chapter 40: Living Under the Gaze — Synthesis and Student Manifesto
- Case Study 40-1: Edward Snowden — Whistleblowing, Surveillance, and the Limits of Individual Action
- Case Study 40-2: The CCPA and the California Privacy Rights Movement — Structural Change Through Democratic Process
- Key Takeaways — Chapter 40: Living Under the Gaze — Synthesis and Student Manifesto
- Further Reading — Chapter 40: Living Under the Gaze — Synthesis and Student Manifesto
Appendices
- Glossary of Key Terms
- Bibliography
- Appendix A: Research Methods in Surveillance Studies
- Appendix B: Landmark Studies in Surveillance Research
- Appendix C: Guide to Reading the Primary Sources
- Appendix D: Privacy Tools and Resource Directory
- Appendix E: Legal Frameworks Quick Reference
- Appendix F: Frequently Asked Questions
- Appendix G: Python Surveillance Analytics
- Answers to Selected Exercises
The Science of Luck
Front Matter
Part 1: What Is Luck?
- Part 1: What Is Luck?
- Chapter 1: What Is Luck? Mapping an Elusive Concept
- Chapter 2: The Luck vs. Skill Debate: A False Dichotomy?
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Chapter 3: Randomness Is Real — How Probability Governs Everyday Life
- Chapter 3 Exercises: Randomness Is Real
- Chapter 3 Quiz: Randomness Is Real
- Case Study 3.1: The Warhol 15 Minutes — Why Some Art Becomes Famous
- Case Study 3.2: COVID Goes Viral — What Epidemics Teach Us About Random Spread
- Chapter 3 Key Takeaways: Randomness Is Real
- Chapter 3 Further Reading: Randomness Is Real
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Chapter 4: How Our Brains Misread Luck — Cognitive Biases and Chance
- Chapter 4: Exercises — How Our Brains Misread Luck
- Chapter 4: Quiz — How Our Brains Misread Luck
- Chapter 4: Case Study 1 — The Hot Hand Debate
- Chapter 4: Case Study 2 — Slot Machines and Social Media Feeds
- Chapter 4: Key Takeaways — How Our Brains Misread Luck
- Chapter 4: Further Reading — How Our Brains Misread Luck
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Chapter 5: The History of Luck — From Fortune's Wheel to Algorithmic Feeds
- Chapter 5: Exercises — The History of Luck: From Fortune's Wheel to Algorithmic Feeds
- Chapter 5: Quiz — The History of Luck: From Fortune's Wheel to Algorithmic Feeds
- Chapter 5: Case Study 1 — Pascal's Wager and the Birth of Probability Theory
- Chapter 5: Case Study 2 — The Meritocracy Myth
- Chapter 5: Key Takeaways — The History of Luck: From Fortune's Wheel to Algorithmic Feeds
- Chapter 5: Further Reading — The History of Luck: From Fortune's Wheel to Algorithmic Feeds
Part 2: The Mathematics of Chance
- Part 2: The Mathematics of Chance
- Chapter 6: Probability Intuition — The Math You Need Without the Math You Fear
-
Chapter 7: The Law of Large Numbers — Why Small Samples Lie
- Chapter 7 Exercises: The Law of Large Numbers — Why Small Samples Lie
- Chapter 7 Quiz: The Law of Large Numbers — Why Small Samples Lie
- Case Study 7.1: The Sports Illustrated Cover Jinx — When Cultural Legend Meets Statistical Reality
- Case Study 7.2: The Replication Crisis — How Small Samples Broke Modern Science
- Chapter 7 Key Takeaways: The Law of Large Numbers — Why Small Samples Lie
- Chapter 7 Further Reading: The Law of Large Numbers — Why Small Samples Lie
-
Chapter 8: Regression to the Mean — Why Hot Streaks Cool Down
- Chapter 8 Exercises: Regression to the Mean — Why Hot Streaks Cool Down
- Chapter 8 Quiz: Regression to the Mean — Why Hot Streaks Cool Down
- Case Study 8.1: The Punishment Paradox — How the Israeli Air Force Taught Itself the Wrong Lesson About Feedback
- Case Study 8.2: The Sophomore Slump — Why Debut Success Is Often a Statistical Trap
- Chapter 8 Key Takeaways: Regression to the Mean — Why Hot Streaks Cool Down
- Chapter 8 Further Reading: Regression to the Mean — Why Hot Streaks Cool Down
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Chapter 9: Survivorship Bias — The Most Dangerous Lie Statistics Tell
- Chapter 9 Exercises: Survivorship Bias — The Most Dangerous Lie Statistics Tell
- Chapter 9 Quiz: Survivorship Bias — The Most Dangerous Lie Statistics Tell
- Case Study 9.1: The Startup Advice Industrial Complex — How Success Stories Create a Systematically Misleading Map
- Case Study 9.2: The Dead Stars Problem — Learning from Light That Left Long Ago
- Chapter 9 Key Takeaways: Survivorship Bias — The Most Dangerous Lie Statistics Tell
- Chapter 9 Further Reading: Survivorship Bias — The Most Dangerous Lie Statistics Tell
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Chapter 10: Expected Value — How Rational People Think About Risk
- Chapter 10 Exercises: Expected Value
- Chapter 10 Quiz: Expected Value
- Case Study 10-1: Pascal's Mugging and the Limits of Expected Value
- Case Study 10-2: The Insurance Paradox — When "Irrational" Is the Rational Choice
- Key Takeaways: Chapter 10 — Expected Value
- Further Reading: Chapter 10 — Expected Value
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Chapter 11: The Birthday Problem and Other Probability Surprises
- Chapter 11 Exercises: The Birthday Problem and Other Probability Surprises
- Chapter 11 Quiz: The Birthday Problem and Other Probability Surprises
- Case Study 11-1: The Monty Hall Controversy — Why Smart People Get It Wrong
- Case Study 11-2: The LinkedIn Coincidence Machine — Why Professional Networking Surfaces "Amazing Coincidences"
- Key Takeaways: Chapter 11 — The Birthday Problem and Other Probability Surprises
- Further Reading: Chapter 11 — The Birthday Problem and Other Probability Surprises
Part 3: The Psychology of Luck
- Part 3: The Psychology of Luck
- Chapter 12: The Lucky Personality — Traits of Luck-Prone People
- Chapter 13: Locus of Control — Who Do You Think Is Running Your Life?
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Chapter 14: The Power of Positive Expectation (Without the Toxic Positivity)
- Chapter 14 Exercises: The Power of Positive Expectation
- Chapter 14 Quiz: The Power of Positive Expectation
- Case Study 14.1: The Pygmalion Effect in Schools
- Case Study 14.2: The Nocebo Effect and Medical Outcomes
- Chapter 14 Key Takeaways: The Power of Positive Expectation (Without the Toxic Positivity)
- Chapter 14 Further Reading: The Power of Positive Expectation (Without the Toxic Positivity)
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Chapter 15: Fear and Loss Aversion, and the Opportunities You're Missing
- Chapter 15 Exercises: Fear, Loss Aversion, and the Opportunities You're Missing
- Chapter 15 Quiz: Fear, Loss Aversion, and the Opportunities You're Missing
- Case Study 15-1: The Riskiest Safe Choice — Career Inertia and the True Cost of Staying
- Case Study 15-2: Cold Outreach and the Fear Threshold — What People Think Will Happen vs. What Actually Happens
- Chapter 15 Key Takeaways: Fear, Loss Aversion, and the Opportunities You're Missing
- Chapter 15 Further Reading: Fear, Loss Aversion, and the Opportunities You're Missing
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Chapter 16: The Luck Journal — Noticing and Amplifying Good Fortune
- Chapter 16 Exercises: The Luck Journal — Noticing and Amplifying Good Fortune
- Chapter 16 Quiz: The Luck Journal — Noticing and Amplifying Good Fortune
- Case Study 16-1: The Emmons and McCullough Gratitude Study — What Happened and Why It Matters
- Case Study 16-2: The Noticing Experiments — Wiseman's Newspaper and the Attentional Architecture of Luck
- Chapter 16 Key Takeaways: The Luck Journal — Noticing and Amplifying Good Fortune
- Chapter 16 Further Reading: The Luck Journal — Noticing and Amplifying Good Fortune
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Chapter 17: Resilience and Bounce-Back — How Lucky People Handle Bad Luck
- Chapter 17 Exercises: Resilience and Bounce-Back — How Lucky People Handle Bad Luck
- Chapter 17 Quiz: Resilience and Bounce-Back — How Lucky People Handle Bad Luck
- Case Study 17-1: The Widow Study — How People Actually Recover from Loss
- Case Study 17-2: Adversity to Advantage? Post-Traumatic Growth Among Entrepreneurs
- Chapter 17 Key Takeaways: Resilience and Bounce-Back — How Lucky People Handle Bad Luck
- Chapter 17 Further Reading: Resilience and Bounce-Back — How Lucky People Handle Bad Luck
Part 4: Networks, Society, and Social Luck
- Part 4: Networks, Society, and Social Luck
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Chapter 18: Born Lucky? The Sociology of Structural Advantage
- Chapter 18 Exercises: Born Lucky? The Sociology of Structural Advantage
- Chapter 18 Quiz: Born Lucky? The Sociology of Structural Advantage
- Case Study 1: The Great Gatsby Curve
- Case Study 2: The Audit Study — Names, Race, and the Hiring Market
- Key Takeaways — Chapter 18: Born Lucky? The Sociology of Structural Advantage
- Further Reading — Chapter 18: Born Lucky? The Sociology of Structural Advantage
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Chapter 19: Weak Ties and the Hidden Power of Loose Connections
- Chapter 19 Exercises: Weak Ties and the Hidden Power of Loose Connections
- Chapter 19 Quiz: Weak Ties and the Hidden Power of Loose Connections
- Case Study 1: Granovetter's Study in Detail
- Case Study 2: LinkedIn as a Weak Tie Machine
- Key Takeaways — Chapter 19: Weak Ties and the Hidden Power of Loose Connections
- Further Reading — Chapter 19: Weak Ties and the Hidden Power of Loose Connections
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Chapter 20: Six Degrees — How Small-World Networks Open Big Doors
- Chapter 20 Exercises: Six Degrees — How Small-World Networks Open Big Doors
- Chapter 20 Quiz: Six Degrees — How Small-World Networks Open Big Doors
- Case Study 1: The Microsoft Small World Study
- Case Study 2: The Super-Connector Problem
- Key Takeaways — Chapter 20: Six Degrees — How Small-World Networks Open Big Doors
- Further Reading — Chapter 20: Six Degrees — How Small-World Networks Open Big Doors
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Chapter 21: Social Capital and Positional Advantage
- Chapter 21 Exercises: Social Capital and Positional Advantage
- Chapter 21 Quiz: Social Capital and Positional Advantage
- Case Study 21-1: Ronald Burt's Manager Study — Information Arbitrage and Career Luck
- Case Study 21-2: Old Boys' Networks and the Luck Gap — How Informal Networks Shape Who Gets In
- Key Takeaways: Chapter 21 — Social Capital and Positional Advantage
- Further Reading: Chapter 21 — Social Capital and Positional Advantage
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Chapter 22: Social Media as a Luck Amplifier — The New Rules of Visibility
- Chapter 22 Exercises: Social Media as a Luck Amplifier
- Chapter 22 Quiz: Social Media as a Luck Amplifier
- Case Study 22-1: The Wing — How a Co-working Space Used Social Media Visibility to Create Disproportionate Luck
- Case Study 22-2: The TikTok Algorithm Explained — Luck Physics on the World's Most Democratizing Platform
- Key Takeaways: Chapter 22 — Social Media as a Luck Amplifier
- Further Reading: Chapter 22 — Social Media as a Luck Amplifier
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Chapter 23: Gatekeepers, Mentors, and Sponsors — The Human Infrastructure of Luck
- Chapter 23 Exercises: Gatekeepers, Mentors, and Sponsors
- Chapter 23 Quiz: Gatekeepers, Mentors, and Sponsors
- Case Study 23-1: The Sponsor Effect — Sylvia Ann Hewlett's Research on Who Gets Advocated For
- Case Study 23-2: The Gatekeeper Flip — Converting Gatekeepers into Sponsors
- Chapter 23 Key Takeaways: Gatekeepers, Mentors, and Sponsors — The Human Infrastructure of Luck
- Chapter 23 Further Reading: Gatekeepers, Mentors, and Sponsors — The Human Infrastructure of Luck
Part 5: Serendipity Engineering
- Part 5: Serendipity Engineering
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Chapter 24: What Is Serendipity Engineering? The Science of Creating Lucky Breaks
- Chapter 24 Exercises: What Is Serendipity Engineering?
- Chapter 24 Quiz: What Is Serendipity Engineering?
- Case Study 24-1: The Post-it Note — Serendipity Engineering at 3M
- Case Study 24-2: The Slack Origin Story — Failing Productively as Serendipity Engineering
- Key Takeaways: Chapter 24 — What Is Serendipity Engineering?
- Further Reading: Chapter 24 — What Is Serendipity Engineering?
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Chapter 25: Expanding Your Opportunity Surface — Show Up More Places
- Chapter 25 Exercises: Expanding Your Opportunity Surface
- Chapter 25 Quiz: Expanding Your Opportunity Surface
- Case Study 25-1: Pixar's Building Design for Serendipity — Architecture as Opportunity Surface Engineering
- Case Study 25-2: The Forum Luck Effect — How Online Communities Produce Measurable Career Outcomes
- Key Takeaways: Chapter 25 — Expanding Your Opportunity Surface
- Further Reading: Chapter 25 — Expanding Your Opportunity Surface
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Chapter 26: Curiosity as a Luck Strategy — How Wondering Creates Winning
- Chapter 26 Exercises: Curiosity as a Luck Strategy
- Chapter 26 Quiz: Curiosity as a Luck Strategy
- Case Study 26-1: The Medici Effect in Practice — How Cross-Domain Combinations Generate Disproportionate Breakthroughs
- Case Study 26-2: Charles Darwin's Curiosity Practice — How Systematic Wondering Across Domains Enabled the Central Discovery
- Key Takeaways: Chapter 26 — Curiosity as a Luck Strategy
- Further Reading: Chapter 26 — Curiosity as a Luck Strategy
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Chapter 27: Pattern Recognition — The Skill Behind Lucky Insights
- Chapter 27 Exercises: Pattern Recognition — The Skill Behind Lucky Insights
- Chapter 27 Quiz: Pattern Recognition — The Skill Behind Lucky Insights
- Case Study 27-01: Fleming and the Petri Dish — The Prepared Mind Behind Penicillin
- Case Study 27-02: The Chess Experiments — How Experts See Differently
- Key Takeaways — Chapter 27: Pattern Recognition
- Further Reading — Chapter 27: Pattern Recognition
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Chapter 28: The Art of the Right Place, Right Time — Strategic Presence
- Chapter 28 Exercises: The Art of the Right Place, Right Time — Strategic Presence
- Chapter 28 Quiz: The Art of the Right Place, Right Time — Strategic Presence
- Case Study 28-01: The Silicon Valley Clustering Effect — Why Tech Luck Is Geographically Concentrated
- Case Study 28-02: The Conference Effect — Measuring Serendipity at Professional Gatherings
- Key Takeaways — Chapter 28: The Art of the Right Place, Right Time
- Further Reading — Chapter 28: The Art of the Right Place, Right Time
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Chapter 29: Prepared Mind, Lucky Break — Expertise and Serendipity
- Chapter 29 Exercises: Prepared Mind, Lucky Break — Expertise and Serendipity
- Chapter 29 Quiz: Prepared Mind, Lucky Break — Expertise and Serendipity
- Case Study 29-01: Louis Pasteur's Actually Lucky Breaks — The History Behind the Aphorism
- Case Study 29-02: Steve Jobs and the Calligraphy Class — The Prepared Mind and Its Myths
- Key Takeaways — Chapter 29: Prepared Mind, Lucky Break
- Further Reading — Chapter 29: Prepared Mind, Lucky Break
Part 6: Opportunity Recognition
- Part 6: Opportunity Recognition
- Chapter 30: What Is an Opportunity? A Framework for Seeing What Others Miss
- Chapter 31: Timing and Luck — How Macro Trends Create Personal Windows
-
Chapter 32: The Signal-to-Noise Problem — Cutting Through Distraction to Spot Chances
- Chapter 32 Exercises: The Signal-to-Noise Problem
- Chapter 32 Quiz: The Signal-to-Noise Problem
- Case Study 32.1: The Gorilla Experiment
- Case Study 32.2: Cal Newport's Digital Minimalism in Practice
- Chapter 32 Key Takeaways: The Signal-to-Noise Problem — Cutting Through Distraction to Spot Chances
- Chapter 32 Further Reading: The Signal-to-Noise Problem — Cutting Through Distraction to Spot Chances
- Chapter 33: Technology Luck — Riding Innovation Waves
-
Chapter 34: Social Media Opportunity Hunting — Platforms as Luck Engines
- Chapter 34 Exercises: Social Media Opportunity Hunting — Platforms as Luck Engines
- Chapter 34 Quiz: Social Media Opportunity Hunting — Platforms as Luck Engines
- Case Study 01: MrBeast's Opportunity Architecture
- Case Study 02: The B2B LinkedIn Luck Engine
- Key Takeaways — Chapter 34: Social Media Opportunity Hunting
- Further Reading — Chapter 34: Social Media Opportunity Hunting
-
Chapter 35: From Noticing to Acting — The Courage Component
- Chapter 35 Exercises: From Noticing to Acting — The Courage Component
- Chapter 35 Quiz: From Noticing to Acting — The Courage Component
- Case Study 01: The Regret Research
- Case Study 02: Jia Jiang's 100 Days of Rejection
- Key Takeaways — Chapter 35: From Noticing to Acting
- Further Reading — Chapter 35: From Noticing to Acting
Part 7: Building a Luckier Life
- Part 7: Building a Luckier Life
- Chapter 36: The Luck Audit — Assessing and Redesigning Your Luck Architecture
- Chapter 37: Portfolio Thinking — Managing Luck Across Life's Domains
-
Chapter 38: Career Luck — Positioning Yourself for Serendipity
- Chapter 38 Exercises: Career Luck
- Chapter 38 Quiz: Career Luck
- Case Study 38.1: Lin-Manuel Miranda and the Architecture of Career Luck
- Case Study 38.2: The Cohort Effect — Why When You Graduate Matters
- Chapter 38 Key Takeaways: Career Luck — Positioning Yourself for Serendipity
- Chapter 38 Further Reading: Career Luck — Positioning Yourself for Serendipity
- Chapter 39: The Ethics of Luck — Privilege, Meritocracy, and What We Owe Each Other
-
Chapter 40: Your Personal Luck Strategy — Synthesis and Action Plan
- Chapter 40 Exercises: Your Personal Luck Strategy
- Chapter 40 Quiz: Your Personal Luck Strategy
- Case Study 40.1: The Long Game — Luck Strategies and Career Outcomes Over 20+ Year Time Horizons
- Case Study 40.2: The Luck Testimonials — Real Stories of Deliberate Luck Engineering
- Key Takeaways: Chapter 40
- Further Reading: Chapter 40
Part 8: Capstone Projects
Appendices
- Appendix: Glossary of Key Terms
- Appendix: Answers to Selected Exercises
- Appendix: Annotated Bibliography
- Appendix A: Key Studies Summary
- Appendix B: Research Methods Primer
- Appendix C: Templates and Worksheets
- Appendix D: Quick Reference Cards
- Appendix E: Frequently Asked Questions
- Appendix F: Python Reference — Simulation Code
Vibe Coding: The Definitive Textbook for Coding with AI
Frontmatter
Part I: Foundations of Vibe Coding
- Part I: Foundations of Vibe Coding
- Chapter 1: The Vibe Coding Revolution
- Chapter 2: How AI Coding Assistants Actually Work
- Chapter 3: The AI Coding Tool Landscape
-
Chapter 4: Setting Up Your Vibe Coding Environment
- Chapter 4 Exercises: Setting Up Your Vibe Coding Environment
- Chapter 4 Quiz: Setting Up Your Vibe Coding Environment
- Case Study 1: Setting Up a Complete Development Environment from Scratch
- Case Study 2: Optimizing an Existing Developer Setup for AI
- Chapter 4: Key Takeaways
- Chapter 4: Further Reading
- Chapter 5: Python Essentials for Vibe Coders
- Chapter 6: Your First Vibe Coding Session
- Chapter 7: Understanding AI-Generated Code
Part II: The Art of Prompting for Code
- Part II: The Art of Prompting for Code
- Chapter 8: Prompt Engineering Fundamentals
- Chapter 9: Context Management and Conversation Design
- Chapter 10: Specification-Driven Prompting
- Chapter 11: Iterative Refinement and Conversation Patterns
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Chapter 12: Advanced Prompting Techniques
- Chapter 12: Exercises — Advanced Prompting Techniques
- Chapter 12: Quiz — Advanced Prompting Techniques
- Case Study 1: Chain-of-Thought for Algorithm Design
- Case Study 2: The Meta-Prompt Workshop
- Chapter 12: Key Takeaways — Advanced Prompting Techniques
- Chapter 12: Further Reading — Advanced Prompting Techniques
- Chapter 13: Working with Multiple Files and Large Codebases
- Chapter 14: When AI Gets It Wrong
Part III: Building Real Software with AI
- Part III: Building Real Software with AI
- Chapter 15: Building Command-Line Tools and Scripts
- Chapter 16: Web Frontend Development with AI
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Chapter 17: Backend Development and REST APIs
- Chapter 17 Exercises: Backend Development and REST APIs
- Chapter 17 Quiz: Backend Development and REST APIs
- Case Study 1: Building a Task Management API
- Case Study 2: Migrating from Flask to FastAPI
- Chapter 17 Key Takeaways: Backend Development and REST APIs
- Chapter 17 Further Reading: Backend Development and REST APIs
- Chapter 18: Database Design and Data Modeling
- Chapter 19: Full-Stack Application Development
- Chapter 20: Working with External APIs and Integrations
- Chapter 21: AI-Assisted Testing Strategies
- Chapter 22: Debugging and Troubleshooting with AI
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Chapter 23: Documentation and Technical Writing
- Chapter 23: Exercises — Documentation and Technical Writing
- Chapter 23: Quiz — Documentation and Technical Writing
- Case Study 01: Documentation Rescue — Using AI to Create Comprehensive Documentation for an Undocumented Project
- Case Study 02: API Docs That Developers Love — Creating Outstanding API Documentation for an Open-Source Library
- Chapter 23: Key Takeaways — Documentation and Technical Writing
- Chapter 23: Further Reading — Documentation and Technical Writing
Part IV: Architecture and Engineering Excellence
- Part IV: Architecture and Engineering Excellence
- Chapter 24: Software Architecture with AI Assistance
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Chapter 25: Design Patterns and Clean Code
- Chapter 25: Exercises — Design Patterns and Clean Code
- Chapter 25: Quiz — Design Patterns and Clean Code
- Case Study 01: Refactoring Spaghetti to Strategy Pattern
- Case Study 02: Building a Plugin System with Design Patterns
- Chapter 25: Key Takeaways — Design Patterns and Clean Code
- Chapter 25: Further Reading — Design Patterns and Clean Code
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Chapter 26: Refactoring Legacy Code with AI
- Chapter 26: Exercises — Refactoring Legacy Code with AI
- Chapter 26: Quiz — Refactoring Legacy Code with AI
- Case Study 01: Modernizing a 10-Year-Old Django Application
- Case Study 02: From Procedural to Object-Oriented with AI
- Chapter 26: Key Takeaways — Refactoring Legacy Code with AI
- Chapter 26: Further Reading — Refactoring Legacy Code with AI
- Chapter 27: Security-First Development
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Chapter 28: Performance Optimization
- Chapter 28 Exercises: Performance Optimization
- Chapter 28 Quiz: Performance Optimization
- Case Study 1: Optimizing a Slow API Endpoint
- Case Study 2: Scaling a Data Pipeline from 1K to 1M Records
- Chapter 28: Key Takeaways — Performance Optimization
- Chapter 28: Further Reading — Performance Optimization
- Chapter 29: DevOps and Deployment
- Chapter 30: Code Review and Quality Assurance
Part V: Professional Vibe Coding
Part VI: Advanced Topics and Autonomous Systems
Part VII: Capstone Projects and Synthesis
Why They Watch: The Psychology of Viral Video and a Creator's Vault of Ideas That Work
Frontmatter
Part 1: Your Brain on Video
- Part 1: Your Brain on Video
- Chapter 1: Why We Can't Look Away — The Psychology of Attention
- Chapter 2: Your Brain on Screens — How We Process Video, Sound, and Story
- Chapter 3: The Scroll-Stop Moment — First Impressions in Half a Second
- Chapter 4: The Emotion Engine — Why Feelings Drive Every Click, Like, and Share
- Chapter 5: The Curiosity Gap — Making People Need to Know What Happens Next
- Chapter 6: Memory and Repeat — Why Some Videos Live in Your Head Rent-Free
Part 2: How Things Go Viral
- Part 2: How Things Go Viral
- Chapter 7: What "Going Viral" Really Means — Patterns, Numbers, and Myths
- Chapter 8: The Algorithm Whisperer — How TikTok, YouTube, and Instagram Decide What You See
- Chapter 9: The Share Trigger — The Psychology of Why People Pass Content Along
- Chapter 10: Network Effects — How Ideas Spread Through Friend Groups and Beyond
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Chapter 11: Trends, Timing, and Cultural Moments — Riding the Wave
- Exercises: Trends, Timing, and Cultural Moments
- Quiz: Trends, Timing, and Cultural Moments
- Case Study: Riding the Wave vs. Making the Wave
- Case Study: The Cultural Moment That Changed Everything
- Key Takeaways: Trends, Timing, and Cultural Moments
- Further Reading: Trends, Timing, and Cultural Moments
- Chapter 12: Anatomy of a Hit — Reverse-Engineering 10 Videos That Broke the Internet
Part 3: Storytelling for Screens
- Part 3: Storytelling for Screens
- Chapter 13: The Three-Second Story — Narrative Structure for Short-Form
- Chapter 14: Character and Relatability — Why "It Me" Content Wins
- Chapter 15: Conflict, Tension, and Payoff — The Emotional Arc That Hooks
- Chapter 16: The Hook Toolbox — 50 Opening Lines, Frames, and Techniques
- Chapter 17: Endings That Echo — Closings That Make People Rewatch and Share
- Chapter 18: Long-Form Storytelling — Building Worlds in YouTube and Series Content
Part 4: Sight and Sound
- Part 4: Sight and Sound
- Chapter 19: Framing and Composition — What Your Eyes See First
- Chapter 20: Editing Rhythm — Pacing, Cuts, and the Beat of Attention
- Chapter 21: Sound Design and Music — The Invisible Persuader
- Chapter 22: Text on Screen — Words That Grab in a Visual World
- Chapter 23: Color, Light, and Mood — Painting Emotion with Your Camera
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Chapter 24: Lo-Fi vs. Hi-Fi — When Polish Helps and When It Hurts
- Exercises: Lo-Fi vs. Hi-Fi — When Polish Helps and When It Hurts
- Quiz: Lo-Fi vs. Hi-Fi — When Polish Helps and When It Hurts
- Case Study: The Creator Who Learned to Stop Polishing
- Case Study: Lo-Fi, Hi-Fi, and Everything Between — Three Production Journeys
- Key Takeaways: Lo-Fi vs. Hi-Fi — When Polish Helps and When It Hurts
- Further Reading: Lo-Fi vs. Hi-Fi — When Polish Helps and When It Hurts
Part 5: Content Genres That Click
- Part 5: Content Genres That Click
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Chapter 25: Comedy and Humor — The Science of Making People Laugh on Camera
- Exercises: Comedy and Humor — The Science of Making People Laugh on Camera
- Quiz: Comedy and Humor — The Science of Making People Laugh on Camera
- Case Study: The Comedian Who Wasn't Funny (At First)
- Case Study: Five Comedy Styles, One Trending Sound — How Structure Shapes Humor
- Key Takeaways: Comedy and Humor — The Science of Making People Laugh on Camera
- Further Reading: Comedy and Humor — The Science of Making People Laugh on Camera
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Chapter 26: Educational and Explainer Content — Teaching That Entertains
- Exercises: Educational and Explainer Content — Teaching That Entertains
- Quiz: Educational and Explainer Content — Teaching That Entertains
- Case Study: The Science Teacher Who Went Viral
- Case Study: Three Subjects, One Formula — How Edutainment Works Across Topics
- Key Takeaways: Educational and Explainer Content — Teaching That Entertains
- Further Reading: Educational and Explainer Content — Teaching That Entertains
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Chapter 27: Challenge, Trend, and Duet Content — Participation as Virality
- Exercises: Challenge, Trend, and Duet Content — Participation as Virality
- Quiz: Challenge, Trend, and Duet Content — Participation as Virality
- Case Study: The Challenge That Built a Community
- Case Study: Duet, Stitch, React — Three Creators Build on the Same Video
- Key Takeaways: Challenge, Trend, and Duet Content — Participation as Virality
- Further Reading: Challenge, Trend, and Duet Content — Participation as Virality
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Chapter 28: Satisfying, ASMR, and Sensory Content — Why Your Body Responds
- Exercises: Satisfying, ASMR, and Sensory Content — Why Your Body Responds
- Quiz: Satisfying, ASMR, and Sensory Content — Why Your Body Responds
- Case Study: The ASMR Creator Who Found Her Voice by Going Silent
- Case Study: Satisfying, ASMR, or Food — Same Kitchen, Three Sensory Strategies
- Key Takeaways: Satisfying, ASMR, and Sensory Content — Why Your Body Responds
- Further Reading: Satisfying, ASMR, and Sensory Content — Why Your Body Responds
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Chapter 29: Reaction, Commentary, and Hot Takes — The Opinion Economy
- Exercises: Reaction, Commentary, and Hot Takes — The Opinion Economy
- Quiz: Reaction, Commentary, and Hot Takes — The Opinion Economy
- Case Study: The Commentator Who Chose Nuance Over Numbers
- Case Study: Five Commentary Levels, One Viral Moment
- Key Takeaways: Reaction, Commentary, and Hot Takes — The Opinion Economy
- Further Reading: Reaction, Commentary, and Hot Takes — The Opinion Economy
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Chapter 30: Transformation and Before/After — The Power of Visible Change
- Exercises: Transformation and Before/After — The Power of Visible Change
- Quiz: Transformation and Before/After — The Power of Visible Change
- Case Study: The Room Reveal That Taught Her About Before/After Psychology
- Case Study: Four Characters, Four Transformations
- Key Takeaways: Transformation and Before/After — The Power of Visible Change
- Further Reading: Transformation and Before/After — The Power of Visible Change
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Chapter 31: Wholesome, Feel-Good, and Community Content — The Share-for-Good Effect
- Exercises: Wholesome, Feel-Good, and Community Content — The Share-for-Good Effect
- Quiz: Wholesome, Feel-Good, and Community Content — The Share-for-Good Effect
- Case Study: The Creator Who Built a Community By Celebrating It
- Case Study: The Kindness Video That Backfired — and the Rebuild That Worked
- Key Takeaways: Wholesome, Feel-Good, and Community Content — The Share-for-Good Effect
- Further Reading: Wholesome, Feel-Good, and Community Content — The Share-for-Good Effect
Part 6: The Creator's Strategy
- Part 6: The Creator's Strategy
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Chapter 32: Finding Your Niche — Where Your Obsession Meets an Audience
- Exercises: Finding Your Niche — Where Your Obsession Meets an Audience
- Quiz: Finding Your Niche — Where Your Obsession Meets an Audience
- Case Study: The Creator Who Tested Three Niches Before Finding Her Own
- Case Study: Four Creators, Same Topic, Four Different Niches
- Key Takeaways: Finding Your Niche — Where Your Obsession Meets an Audience
- Further Reading: Finding Your Niche — Where Your Obsession Meets an Audience
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Chapter 33: The Content Machine — Consistency, Batching, and Avoiding Burnout
- Exercises: The Content Machine — Consistency, Batching, and Avoiding Burnout
- Quiz: The Content Machine — Consistency, Batching, and Avoiding Burnout
- Case Study: The Creator Who Quit Twice Before Learning to Pace Herself
- Case Study: The Idea Bank That Saved a Channel
- Key Takeaways: The Content Machine — Consistency, Batching, and Avoiding Burnout
- Further Reading: The Content Machine — Consistency, Batching, and Avoiding Burnout
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Chapter 34: Analytics Decoded — Reading Your Numbers Like a Scientist
- Exercises: Analytics Decoded — Reading Your Numbers Like a Scientist
- Quiz: Analytics Decoded — Reading Your Numbers Like a Scientist
- Case Study 1: Marcus and the Metric That Changed Everything
- Case Study 2: Two Creators, Same Numbers, Opposite Conclusions
- Key Takeaways: Analytics Decoded — Reading Your Numbers Like a Scientist
- Further Reading: Analytics Decoded — Reading Your Numbers Like a Scientist
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Chapter 35: Thumbnails, Titles, and Packaging — The Art of the Click
- Exercises: Thumbnails, Titles, and Packaging — The Art of the Click
- Quiz: Thumbnails, Titles, and Packaging — The Art of the Click
- Case Study 1: The Thumbnail That Changed a Channel
- Case Study 2: The Title That Broke the Algorithm (in a Good Way)
- Key Takeaways: Thumbnails, Titles, and Packaging — The Art of the Click
- Further Reading: Thumbnails, Titles, and Packaging — The Art of the Click
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Chapter 36: Community and Fandom — Turning Viewers into a Tribe
- Exercises: Community and Fandom — Turning Viewers into a Tribe
- Quiz: Community and Fandom — Turning Viewers into a Tribe
- Case Study 1: Luna and the Community That Found Her
- Case Study 2: DJ and the Moderation Line
- Key Takeaways: Community and Fandom — Turning Viewers into a Tribe
- Further Reading: Community and Fandom — Turning Viewers into a Tribe
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Chapter 37: Collaboration and Cross-Pollination — Growing Through Others
- Exercises: Collaboration and Cross-Pollination — Growing Through Others
- Quiz: Collaboration and Cross-Pollination — Growing Through Others
- Case Study 1: The Collaboration That Changed Marcus's Trajectory
- Case Study 2: When Collaboration Goes Wrong
- Key Takeaways: Collaboration and Cross-Pollination — Growing Through Others
- Further Reading: Collaboration and Cross-Pollination — Growing Through Others
Part 7: The Bigger Picture
- Part 7: The Bigger Picture
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Chapter 38: Ethics, Mental Health, and Responsible Creation — What No One Tells You
- Exercises: Ethics, Mental Health, and Responsible Creation
- Quiz: Ethics, Mental Health, and Responsible Creation
- Case Study 1: The Viral Correction — DJ and the Health Misinformation Moment
- Case Study 2: The Numbers Game — Zara and the Validation Spiral
- Key Takeaways: Ethics, Mental Health, and Responsible Creation
- Further Reading: Ethics, Mental Health, and Responsible Creation
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Chapter 39: Monetization and the Business of Creating
- Exercises: Monetization and the Business of Creating
- Quiz: Monetization and the Business of Creating
- Case Study 1: Marcus and the First Real Money
- Case Study 2: Luna's Unexpected Revenue Model
- Key Takeaways: Monetization and the Business of Creating
- Further Reading: Monetization and the Business of Creating
- Chapter 40: Your First 90 Days — A Complete Creator Launch Plan
Part 8: Capstone Projects
Appendices
- Appendix A: Templates and Worksheets
- Appendix B: Quick-Reference Cards
- Appendix C: Resource Directory
- Appendix D: Research Methods Primer
- Appendix E: Key Studies Summary
- Appendix F: Frequently Asked Questions
- Appendix G: Python Analytics Reference
- Glossary of Key Terms
- Answers to Selected Exercises
- Bibliography
Working With AI Tools Effectively
Front Matter
Part 1: Foundations — Understanding What You're Working With
- Part 1: Foundations — Understanding What You're Working With
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Chapter 1: What AI Tools Actually Are (and Aren't)
- Case Study 1: Alex's First Month — From Frustrated to Functional
- Case Study 2: Raj's Skeptic-to-Convert Arc
- Key Takeaways: Chapter 1 — What AI Tools Actually Are (and Aren't)
- Chapter 1 Exercises: What AI Tools Actually Are (and Aren't)
- Chapter 1 Quiz: What AI Tools Actually Are (and Aren't)
- Further Reading: Chapter 1 — What AI Tools Actually Are (and Aren't)
- Chapter 2: How Language Models Think: A Conceptual Framework
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Chapter 3: The Right Mental Models for AI Collaboration
- Case Study 3.1: Alex's Mental Model Upgrade
- Case Study 3.2: The Right Tool for the Right Job
- Chapter 3: Key Takeaways — The Right Mental Models for AI Collaboration
- Chapter 3: Exercises — The Right Mental Models for AI Collaboration
- Chapter 3: Quiz — The Right Mental Models for AI Collaboration
- Chapter 3: Further Reading — Mental Models, Cognitive Science, and AI Collaboration
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Chapter 4: Trust Calibration — What AI Gets Right, What It Gets Wrong
- Case Study 4.1: The Confident Fabrication — How Alex Lost a Client Pitch
- Case Study 4.2: Raj's Security Audit — When Copilot Got the Crypto Wrong
- Chapter 4 Key Takeaways: Trust Calibration
- Chapter 4 Exercises: Practicing Trust Calibration
- Chapter 4 Quiz: Trust Calibration
- Chapter 4 Further Reading: Trust Calibration
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Chapter 5: Setting Up Your Personal AI Environment
- Case Study 5.1: Alex's AI Stack — Building a Marketing Powerhouse
- Case Study 5.2: Raj's Developer Environment — From Copilot Tab to Full AI-Assisted Workflow
- Chapter 5 Key Takeaways: Setting Up Your Personal AI Environment
- Chapter 5 Exercises: Building Your AI Environment
- Chapter 5 Quiz: Setting Up Your Personal AI Environment
- Chapter 5 Further Reading: Setting Up Your Personal AI Environment
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Chapter 6: The Iteration Mindset — Working in Loops, Not Lines
- Case Study 6.1: Alex's Campaign in Seven Rounds — From Blank Page to Brief
- Case Study 6.2: Elena's Consulting Report — The Three-Pass Method
- Chapter 6 Key Takeaways: The Iteration Mindset
- Chapter 6 Exercises: Working in Loops, Not Lines
- Chapter 6 Quiz: The Iteration Mindset
- Chapter 6 Further Reading: The Iteration Mindset
Part 2: The Art of Prompting
- Part 2: The Art of Prompting
-
Chapter 7: Prompting Fundamentals: Structure, Clarity, and Specificity
- Case Study 01: From Generic to Remarkable — Alex's Blog Post Transformation
- Case Study 02: Raj's Technical Documentation Prompt — Precision Under Pressure
- Chapter 7 Key Takeaways: Prompting Fundamentals
- Chapter 7 Exercises: Prompting Fundamentals
- Chapter 7 Quiz: Prompting Fundamentals
- Chapter 7 Further Reading: Prompting Fundamentals
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Chapter 8: Context Is Everything: Loading Your AI's Working Memory
- Case Study 01: Alex's Brand Voice Problem — When AI Sounds Like Nobody
- Case Study 02: Raj's Codebase Context — Making AI a Useful Code Reviewer
- Chapter 8 Key Takeaways: Context Is Everything
- Chapter 8 Exercises: Context Is Everything
- Chapter 8 Quiz: Context Is Everything
- Chapter 8 Further Reading: Context Is Everything
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Chapter 9: Instructional Prompting and Role Assignment
- Case Study 01: Alex's Persona Panel — Using AI to Stress-Test Campaign Ideas
- Case Study 02: Elena's Devil's Advocate — How Role Assignment Saved a Flawed Report
- Chapter 9 Key Takeaways: Instructional Prompting and Role Assignment
- Chapter 9 Exercises: Instructional Prompting and Role Assignment
- Chapter 9 Quiz: Instructional Prompting and Role Assignment
- Chapter 9 Further Reading: Instructional Prompting and Role Assignment
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Chapter 10: Advanced Prompting Techniques
- Case Study: Raj's Debugging Chain — How CoT Prompting Found the Bug in 3 Minutes
- Case Study: Alex's Style Cloner — Few-Shot Prompting for Brand Voice
- Chapter 10 Key Takeaways: Advanced Prompting Techniques
- Chapter 10 Exercises: Advanced Prompting Techniques
- Chapter 10 Quiz: Advanced Prompting Techniques
- Chapter 10 Further Reading: Advanced Prompting Techniques
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Chapter 11: Prompt Engineering Patterns for Recurring Tasks
- Case Study: Alex's Pattern Library — From 2 Hours to 20 Minutes
- Case Study: Elena's Consulting Toolkit — Patterns as Competitive Advantage
- Chapter 11 Key Takeaways: Prompt Engineering Patterns
- Chapter 11 Exercises: Prompt Engineering Patterns
- Chapter 11 Quiz: Prompt Engineering Patterns
- Chapter 11 Further Reading: Prompt Engineering Patterns
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Chapter 12: Multimodal Prompting: Working with Images, Documents, and Data
- Case Study: Alex's Competitive Analysis Sprint — Vision + Document AI in 90 Minutes
- Case Study: Elena's Report Accelerator — Turning a 300-Page Document into Actionable Intelligence
- Chapter 12 Key Takeaways: Multimodal Prompting
- Chapter 12 Exercises: Multimodal Prompting
- Chapter 12 Quiz: Multimodal Prompting
- Chapter 12 Further Reading: Multimodal Prompting
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Chapter 13: Diagnosing and Fixing Bad Outputs
- Case Study: Alex's Campaign Copy Crisis — A Three-Round Repair
- Case Study: Raj's Phantom Function — Diagnosing an AI Hallucination in Production
- Chapter 13 Key Takeaways: Diagnosing and Fixing Bad Outputs
- Chapter 13 Exercises: Diagnosing and Fixing Bad Outputs
- Chapter 13 Quiz: Diagnosing and Fixing Bad Outputs
- Chapter 13 Further Reading: Diagnosing and Fixing Bad Outputs
Part 3: Working with the Major AI Platforms
- Part 3: Working with the Major AI Platforms
- Chapter 14: Mastering ChatGPT and GPT-4
- Chapter 15: Working with Claude: Strengths, Quirks, and Best Practices
- Chapter 16: Google Gemini and the Workspace Integration
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Chapter 17: GitHub Copilot and AI Code Assistants
- Chapter 17 Exercises: GitHub Copilot and AI Code Assistants
- Chapter 17 Quiz: GitHub Copilot and AI Code Assistants
- Case Study: Raj's Test Suite — Copilot as Testing Partner
- Case Study: The Security Hole Copilot Suggested
- Key Takeaways: Chapter 17 — GitHub Copilot and AI Code Assistants
- Further Reading: Chapter 17 — GitHub Copilot and AI Code Assistants
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Chapter 18: Image Generation — Midjourney, DALL·E, and Stable Diffusion
- Chapter 18 Exercises: Image Generation — Midjourney, DALL·E, and Stable Diffusion
- Chapter 18 Quiz: Image Generation — Midjourney, DALL·E, and Stable Diffusion
- Case Study: Alex's Campaign Mood Board — From Brief to Visual in 90 Minutes
- Case Study: Elena's Slide Deck Upgrade — DALL·E for Professional Presentations
- Key Takeaways: Chapter 18 — Image Generation — Midjourney, DALL·E, and Stable Diffusion
- Further Reading: Chapter 18 — Image Generation — Midjourney, DALL·E, and Stable Diffusion
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Chapter 19: Specialized and Domain-Specific AI Tools
- Chapter 19 Exercises: Specialized and Domain-Specific AI Tools
- Chapter 19 Quiz: Specialized and Domain-Specific AI Tools
- Case Study: Elena's Research Accelerator — Elicit and Consensus for Literature Synthesis
- Case Study: Alex's MarTech Stack Audit — Evaluating 6 Marketing AI Tools in One Week
- Key Takeaways: Chapter 19 — Specialized and Domain-Specific AI Tools
- Further Reading: Chapter 19 — Specialized and Domain-Specific AI Tools
Part 4: AI Across Professional Workflows
- Part 4: AI Across Professional Workflows
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Chapter 20: Writing and Editing with AI
- Chapter 20 Exercises: Writing and Editing with AI
- Chapter 20 Quiz: Writing and Editing with AI
- Case Study 1: Alex's Content Calendar — Scaling Without Losing the Brand
- Case Study 2: Elena's Voice Preservation Protocol — The Near-Miss That Changed Everything
- Chapter 20 Key Takeaways: Writing and Editing with AI
- Chapter 20 Further Reading: Writing and Editing with AI
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Chapter 21: Research, Synthesis, and Information Gathering
- Chapter 21 Exercises: Research, Synthesis, and Information Gathering
- Chapter 21 Quiz: Research, Synthesis, and Information Gathering
- Case Study 1: Elena's Domain Sprint — From Zero to Expert Brief in One Week
- Case Study 2: Alex's Market Research Trap — When AI Synthesis Was Wrong
- Chapter 21 Key Takeaways: Research, Synthesis, and Information Gathering
- Chapter 21 Further Reading: Research, Synthesis, and Information Gathering
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Chapter 22: Data Analysis and Visualization
- Chapter 22 Exercises: Data Analysis and Visualization
- Chapter 22 Quiz: Data Analysis and Visualization
- Case Study 1: Alex's Campaign Analytics — From Spreadsheet to Story in 2 Hours
- Case Study 2: Raj's Anomaly Hunt — AI-Assisted Log Analysis
- Chapter 22 Key Takeaways: Data Analysis and Visualization
- Chapter 22 Further Reading: Data Analysis and Visualization
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Chapter 23: Software Development and Debugging
- Chapter 23 Exercises: Software Development and Debugging
- Chapter 23 Quiz: Software Development and Debugging
- Case Study 1: Raj's Feature Sprint — Building a REST API Endpoint with AI Assistance
- Case Study 2: The Mysterious Memory Leak — AI-Assisted Debugging Under Pressure
- Chapter 23 Key Takeaways: Software Development and Debugging
- Chapter 23 Further Reading: Software Development and Debugging
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Chapter 24: Project Planning and Task Management
- Chapter 24 Exercises: Project Planning and Task Management
- Chapter 24 Quiz: Project Planning and Task Management
- Case Study 24-1: Elena's Engagement Launch — 90-Minute Project Plan
- Case Study 24-2: Raj's Migration Pre-Mortem — Finding 12 Failure Modes Before Launch
- Chapter 24 Key Takeaways: Project Planning and Task Management
- Chapter 24 Further Reading: Project Planning and Task Management
-
Chapter 25: Decision Support, Analysis, and Strategic Thinking
- Chapter 25 Exercises: Decision Support, Analysis, and Strategic Thinking
- Chapter 25 Quiz: Decision Support, Analysis, and Strategic Thinking
- Case Study 25-1: Elena's Build-Buy-Partner Analysis — AI as Strategic Thinking Partner
- Case Study 25-2: Alex's Market Entry Decision — When AI Almost Led Her Wrong
- Chapter 25 Key Takeaways: Decision Support, Analysis, and Strategic Thinking
- Chapter 25 Further Reading: Decision Support, Analysis, and Strategic Thinking
-
Chapter 26: Presentations, Slides, and Visual Communication
- Chapter 26 Exercises: Presentations, Slides, and Visual Communication
- Chapter 26 Quiz: Presentations, Slides, and Visual Communication
- Case Study 26-1: Alex's Pitch Deck Sprint — Brief to Board-Ready in 4 Hours
- Case Study 26-2: Elena's Executive Translation — Making Complex Analysis Simple
- Chapter 26 Key Takeaways: Presentations, Slides, and Visual Communication
- Chapter 26 Further Reading: Presentations, Slides, and Visual Communication
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Chapter 27: Business Communication: Email, Reports, and Documents
- Chapter 27 Exercises: Business Communication: Email, Reports, and Documents
- Chapter 27 Quiz: Business Communication: Email, Reports, and Documents
- Case Study 27-1: Elena's Proposal Machine — From Discovery Call to Proposal in 3 Hours
- Case Study 27-2: Raj's Stakeholder Translation — Making Technical Reports Readable
- Chapter 27 Key Takeaways: Business Communication: Email, Reports, and Documents
- Chapter 27 Further Reading: Business Communication: Email, Reports, and Documents
-
Chapter 28: Customer-Facing Work: Sales, Support, and Outreach
- Chapter 28 Exercises: Customer-Facing Work: Sales, Support, and Outreach
- Chapter 28 Quiz: Customer-Facing Work: Sales, Support, and Outreach
- Case Study 28-1: Alex's Launch Outreach — 500 Personalized Emails in One Day
- Case Study 28-2: The Support Team's AI Upgrade — From Backlog to Same-Day Response
- Chapter 28 Key Takeaways: Customer-Facing Work: Sales, Support, and Outreach
- Chapter 28 Further Reading: Customer-Facing Work: Sales, Support, and Outreach
Part 5: Critical Thinking, Verification, and Ethics
- Part 5: Critical Thinking, Verification, and Ethics
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Chapter 29: Hallucinations, Errors, and How to Catch Them
- Chapter 29 Exercises: Hallucinations, Errors, and How to Catch Them
- Chapter 29 Quiz: Hallucinations, Errors, and How to Catch Them
- Case Study 1: The Fabricated Citation
- Case Study 2: Alex's Viral Number
- Chapter 29 Key Takeaways: Hallucinations, Errors, and How to Catch Them
- Chapter 29 Further Reading: Hallucinations, Errors, and How to Catch Them
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Chapter 30: Verifying AI Output — Fact-Checking Workflows
- Chapter 30 Exercises: Verifying AI Output — Fact-Checking Workflows
- Chapter 30 Quiz: Verifying AI Output — Fact-Checking Workflows
- Case Study 1: Elena's Verification Protocol
- Case Study 2: Alex's Verification Stack
- Chapter 30 Key Takeaways: Verifying AI Output — Fact-Checking Workflows
- Chapter 30 Further Reading: Verifying AI Output — Fact-Checking Workflows
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Chapter 31: Understanding AI Bias and How It Surfaces
- Chapter 31 Exercises: Understanding AI Bias and How It Surfaces
- Chapter 31 Quiz: Understanding AI Bias and How It Surfaces
- Case Study 1: Alex's Persona Problem
- Case Study 2: Raj's Job Description Audit
- Chapter 31 Key Takeaways: Understanding AI Bias and How It Surfaces
- Chapter 31 Further Reading: Understanding AI Bias and How It Surfaces
-
Chapter 32: When NOT to Use AI (and Why That Matters)
- Chapter 32 Exercises: When NOT to Use AI (and Why That Matters)
- Chapter 32 Quiz: When NOT to Use AI (and Why That Matters)
- Case Study 1: Elena's Condolence Problem
- Case Study 2: Raj's Learning Trap
- Chapter 32 Key Takeaways: When NOT to Use AI (and Why That Matters)
- Chapter 32 Further Reading: When NOT to Use AI (and Why That Matters)
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Chapter 33: Ethics of AI Use — Disclosure, Attribution, and Fairness
- Chapter 33 Exercises: Ethics of AI Use — Disclosure, Attribution, and Fairness
- Chapter 33 Quiz: Ethics of AI Use — Disclosure, Attribution, and Fairness
- Case Study 1: Alex's Disclosure Dilemma
- Case Study 2: Elena's Framework
- Chapter 33 Key Takeaways: Ethics of AI Use — Disclosure, Attribution, and Fairness
- Chapter 33 Further Reading: Ethics of AI Use — Disclosure, Attribution, and Fairness
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Chapter 34: Legal and Intellectual Property Considerations
- Chapter 34 Exercises: Legal and Intellectual Property Considerations
- Chapter 34 Quiz: Legal and Intellectual Property Considerations
- Case Study 1: Elena's Client Data Crisis
- Case Study 2: Raj's Open Source Compliance Audit
- Chapter 34 Key Takeaways: Legal and Intellectual Property Considerations
- Chapter 34 Further Reading: Legal and Intellectual Property Considerations
Part 6: Advanced Techniques and Automation
- Part 6: Advanced Techniques and Automation
-
Chapter 35: Chaining AI Interactions and Multi-Step Workflows
- Chapter 35 Exercises: Chaining AI Interactions and Multi-Step Workflows
- Chapter 35 Quiz: Chaining AI Interactions and Multi-Step Workflows
- Case Study 1: Alex's Content Factory — A 5-Step Chain from Brief to Published
- Case Study 2: Elena's Research-to-Report Chain — From Sources to Client Deliverable
- Chapter 35 Key Takeaways: Chaining AI Interactions and Multi-Step Workflows
- Chapter 35 Further Reading: Chaining AI Interactions and Multi-Step Workflows
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Chapter 36: Programmatic AI — APIs, Python, and Automations
- Chapter 36 Exercises: Programmatic AI — APIs, Python, and Automations
- Chapter 36 Quiz: Programmatic AI — APIs, Python, and Automations
- Case Study 1: Raj's Document Processor — Batch Analysis with the API
- Case Study 2: Raj's Email Assistant — A Custom Triage and Draft Bot
- Chapter 36 Key Takeaways: Programmatic AI — APIs, Python, and Automations
- Chapter 36 Further Reading: Programmatic AI — APIs, Python, and Automations
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Chapter 37: Custom GPTs, Assistants, and Configured AI Systems
- Chapter 37 Exercises: Custom GPTs, Assistants, and Configured AI Systems
- Chapter 37 Quiz: Custom GPTs, Assistants, and Configured AI Systems
- Case Study 1: Alex's Brand Voice Assistant — From Custom GPT to Team Resource
- Case Study 2: Elena's Client Research System — Claude Projects in Practice
- Chapter 37 Key Takeaways: Custom GPTs, Assistants, and Configured AI Systems
- Chapter 37 Further Reading: Custom GPTs, Assistants, and Configured AI Systems
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Chapter 38: Deploying AI in Teams and Organizations
- Chapter 38 Exercises: Deploying AI in Teams and Organizations
- Chapter 38 Quiz: Deploying AI in Teams and Organizations
- Case Study: Alex's Team Rollout — From Chaos to Cohesion in 60 Days
- Case Study: Raj's Coding Standards — When Half the Team Used AI and Half Didn't
- Chapter 38 Key Takeaways
- Chapter 38 Further Reading
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Chapter 39: Measuring Effectiveness: ROI, Quality, and Iteration Cycles
- Chapter 39 Exercises: Measuring Effectiveness
- Chapter 39 Quiz: Measuring Effectiveness
- Case Study: Alex's ROI Audit — Proving the Value of AI Investment to Leadership
- Case Study: Elena's Quality Dashboard — Tracking AI-Assisted Consulting Deliverables
- Chapter 39 Key Takeaways
- Chapter 39 Further Reading
Part 7: Staying Current and Looking Forward
- Part 7: Staying Current and Looking Forward
- Chapter 40: How AI is Evolving: Staying Ahead of the Curve
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Chapter 41: The Long-Term Partnership: Building an AI-Augmented Practice
- Chapter 41 Exercises: Building Your Long-Term AI Practice
- Chapter 41 Quiz: The Long-Term Partnership
- Case Study: Elena's Two-Year Journey — From Skeptic to AI-Native Consultant
- Case Study: Raj's Practice — Staying Human in an AI-Augmented Development World
- Chapter 41 Key Takeaways
- Chapter 41 Further Reading
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Chapter 42: Capstone — Your Personal AI Mastery Plan
- Chapter 42 Capstone Exercises: Your Personal AI Mastery Plan
- Chapter 42 Capstone Reflection Questions
- Case Study: Alex's Capstone Plan — The Marketing AI Practitioner
- Case Study: Raj's Capstone Plan — The AI-Native Developer
- Chapter 42 Key Takeaways: The Essential Lessons of This Book
- Chapter 42 Further Reading: Resources for Continued Growth
Appendices
- Appendix A: Prompt Templates Library (Quick-Reference)
- Appendix B: Python Code Reference for AI APIs
- Appendix C: Workflow Templates & Worksheets
- Appendix D: Tool Comparison Quick-Reference Cards
- Appendix E: FAQ — Common Questions and Frustrations
- Appendix F: Key Studies Summary (AI Cognition, Productivity Research)
- Appendix G: Glossary
- Appendix H: Answers to Selected Exercises
- Appendix I: Bibliography
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