
Science
Calling Bullshit
Carl T. Bergstrom, Jevin D. West
3.9 (3200) 8 min read 6 key ideas
A practical toolkit for spotting misleading statistics, data visualizations, and rhetorical tricks in media, politics, and science reporting.
Key takeaways
- Numbers Carry an Unearned Aura of Objectivity
- Correlation-Causation Confusion Remains Pervasive
- What's Excluded From the Data Matters More Than What's Shown
- Simple Questions Filter Out Bad-Faith Argument
- Data Visualization Can Mislead as Easily as It Informs
- Basic Statistical Literacy as a Civic Skill
Final takeaway
Their closing message: developing the habits and questions taught throughout the book is an ongoing practice worth applying to any significant quantitative claim you encounter, not just an academic exercise completed once.
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