Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are

Seth Stephens-Davidowitz argues that traditional surveys and public statements are unreliable because people constantly filter their responses to appear socially acceptable. Instead, he uses Google search data, pornography viewing habits, and social media patterns to reveal the private realities of racism, sexual preferences, and mental health. By analyzing trillions of keystrokes, the book identifies specific correlations between search trends and real-world behavior, such as how economic anxiety influences voting patterns or how parents treat their sons differently than their daughters in digital queries. This data-driven approach treats the internet as a digital truth serum that bypasses the ego and social pressure.

Data scientists, marketers, and sociologists read this to understand how to extract meaningful signals from massive datasets. Readers walk away with a skeptical view of self-reported data and a functional framework for using anonymous digital footprints to predict human choices. The text provides a toolkit for identifying hidden biases in society and demonstrates how to apply the scientific method to unconventional information sources. It offers a practical look at how big data changes the way organizations analyze consumer motivation and political sentiment.

Outward-looking; a moderate read.

Best for readers like The Evidence Seeker. Which reader are you?