May contain lies: how stories, statistics and studies exploit our biases - and what we can do about it
- UK: Penguin Random House India, 2025.
- 328 P.
Table of Contents: Introduction PART I: The biases 1. Confirmation Bias 2. Black- and- White Thinking PART II: The Problems 3. A Statement is not Fact 4. A Fact is not Data 5. Data is not Evidence: Data Mining 6. Data is not Evidence: Causation 7. When Data is Evidence 8. Evidence is not Proof PART III: The Solution 9. Thinking Smarter as Individuals 10. Creating Organizations that Think Smarter 11. Creating Societies that Think Smarter