Don't Trust Your Gut

Don't Trust Your Gut

In the spring of 2011, a thirty-year-old man with thinning hair sat in his Manhattan apartment and opened a dating app. He had a PhD in economics from Harvard. He had spent years working as a data scientist at Google, studying billions of search queries to understand what humans actually want -- as opposed to what they claim to want. He knew how to read data. He had spent his career explaining collective behavior through the lens of large-scale patterns. But when it came to his own love life, he was operating purely on instinct. He swiped based on faces. He messaged the women he found most physically attractive. He made choices that felt correct because they felt correct.

He got nowhere.

That man was Seth Stephens-Davidowitz, and the frustration of that experience cracked open a question he would spend years trying to answer: what if the same tools that reveal hidden patterns in public behavior could also tell us how to make better decisions in our private lives? What if the data that shows why people search for certain things could also show us who to marry, where to raise our children, what career to pursue, whether to start a company, and how to find real happiness -- not the happiness we imagine we want, but the kind that shows up in actual measurements of how people feel at random moments of actual days?

"Don't Trust Your Gut," published in May 2022, is Stephens-Davidowitz's attempt to answer those questions. It is not a book about willpower or morning routines or mindset. It is a book about replacing the messy, bias-soaked, evolutionarily outdated judgment of the human gut with something better: massive datasets, natural experiments, and the cold arithmetic of outcomes measured across millions of people. The subtitle says it plainly: "Using Data to Get What You Really Want in Life."