Everybody Lies

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

Seth Stephens-Davidowitz

20 min read
1m 15s intro

Brief summary

Anonymous online searches act as a digital truth serum, revealing what people truly think, feel, and desire. By analyzing this massive, honest dataset, we can understand the hidden drivers of human behavior in a way that was never before possible.

Who it's for

This book is for anyone curious about what big data reveals about human nature, from social scientists and marketers to everyday internet users.

Everybody Lies

Audio & text in the Readsome app

Introduction: How Internet Searches Reveal the Truth

Steven Pinker spent his career using brain scans and reaction times to see inside the mind, only to find these tools either oversimplify thoughts or produce messy data. Most studies also rely on small groups of people, which fails to represent the real world. Internet searches offer a revolutionary solution because people are remarkably honest at their keyboards. This massive trail of digital footprints provides an unfiltered view of our collective psyche that no laboratory could ever replicate.

In 2016, almost every expert predicted Donald Trump would lose the presidential election based on traditional polls. Digital trails revealed a hidden side of the American electorate that traditional surveys could not reach, showing that voters were angrier than they admitted. This gap highlights a fundamental truth about human behavior: people often say one thing to a pollster and another to a search engine.

Seth Stephens-Davidowitz discovered this power almost by accident while looking for a way to make sense of the world using Google Trends. He started by typing the word God into the search bar and saw clear patterns, such as searches peaking in the Bible Belt on Sundays. When he typed his own name, the system told him there was not enough data to show results, teaching him that the true power of the tool was in the aggregate honesty of millions.

We are a species of liars, especially when it comes to our private lives and personal habits. In major surveys, men and women report using over a billion condoms every year, but sales data shows only 600 million are actually sold. We exaggerate how much sex we have and hide our prejudices because we want to look good to others. Google, however, receives our unfiltered thoughts and acts as a digital confessional where we admit our deepest secrets.

When Barack Obama was elected in 2008, many thought America had moved past its history of racism, but Google Trends showed a darker reality. Searches for racial slurs and racist jokes were shockingly high, often peaking on the night of his victory. This map of hatred was not just in the South, but all over the industrial Midwest and Northeast, cutting across party lines. This quiet rage eventually helped explain the 2016 election, as the areas with the most racist searches were the same areas where Donald Trump did much better than the polls predicted.

This revolution in information is changing how we understand everything from mental health to how we vote. While we might be tempted to trust what people say in public, their digital footprints provide a much more reliable guide to their actions. The truth is out there, hidden in the billions of clicks we make every day, waiting to be analyzed and understood.

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About the author

Seth Stephens-Davidowitz

Seth Stephens-Davidowitz is an American data scientist, economist, and author who specializes in using large-scale internet data to reveal hidden patterns in human behavior. A former Google data scientist and a *New York Times* contributor, he leverages anonymized online data to quantify concealed attitudes and actions, offering new insights into the human psyche that challenge traditional survey methods. His research, which has appeared in publications like the *Journal of Public Economics*, uses digital footprints to understand topics ranging from prejudice to personal habits.

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