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Chapter Metrics

Generated by: Book Metrics Python Program v0.08
Generated on: June 03, 2026 at 12:10 PM

This file contains chapter-by-chapter metrics for student-facing content.

Chapter Name Sections Diagrams Equations Words Links Quiz Refs
1 Introduction to Data-Driven Ethics 39 8 0 7,170 12 10 0
2 Measuring Harm 52 7 8 8,976 41 10 0
3 Gathering Data 59 7 0 6,593 12 10 0
4 Systems Thinking and Impact Analysis 52 6 0 7,265 14 10 0
5 System Archetypes and Root Cause Analysis 26 7 0 7,036 14 10 0
6 Finding Leverage 37 3 0 8,195 31 12 0
7 The Neurobiology of Moral Decision-Making 47 3 0 7,660 18 12 0
8 Fairness in Ethics 35 4 0 8,475 15 11 0
9 Reform, Corporate Responsibility, and Capstone 33 2 1 5,966 19 12 0

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)
  • Quiz: Number of quiz questions in the chapter's quiz.md (0 if none)
  • Refs: Number of references in the chapter's references.md (0 if none)