Chapter Metrics
Generated by: Book Metrics Python Program v0.04
Generated on: December 01, 2025 at 12:02 AM
This file contains chapter-by-chapter metrics for student-facing content.
| Chapter | Name | Sections | Diagrams | Equations | Words | Links |
|---|---|---|---|---|---|---|
| 1 | Introduction to Data-Driven Ethics | 39 | 8 | 0 | 7,111 | 11 |
| 2 | Measuring Harm | 52 | 7 | 8 | 8,976 | 41 |
| 3 | Gathering Data | 59 | 7 | 0 | 6,593 | 12 |
| 4 | Systems Thinking and Impact Analysis | 52 | 6 | 0 | 7,230 | 13 |
| 5 | System Archetypes and Root Cause Analysis | 26 | 7 | 0 | 7,036 | 14 |
| 6 | Markets, Power, and Industry Cases | 32 | 3 | 0 | 7,240 | 17 |
| 7 | Intervention Design and Leverage Points | 41 | 3 | 0 | 6,859 | 18 |
| 8 | Reform, Corporate Responsibility, and Capstone | 33 | 2 | 1 | 5,966 | 19 |
Metrics Explanation
- Chapter: Chapter number (leading zeros removed)
- Name: Chapter title from index.md
- Sections: Count of H2 and H3 headers in chapter markdown files
- Diagrams: Count of H4 headers starting with '#### Diagram:'
- Equations: LaTeX expressions using $ and $$ delimiters
- Words: Word count across all markdown files in the chapter
- Links: Markdown-formatted links
[text](url)