Everybody Lies

Produktbeschreibung

How much sex are people really having? How many Americans are actually racist? Is America experiencing a hidden back-alley abortion crisis? Can you game the stock market? Does violent entertainment increase the rate of violent crime? Do parents treat sons differently from daughters? How many people actually read the books they buy?

In this groundbreaking work, Seth Stephens-Davidowitz, a Harvard-trained economist, former Google data scientist, and New York Times writer, argues that much of what we thought about people has been dead wrong. The reason? People lie, to friends, lovers, doctors, surveys—and themselves.

However, we no longer need to rely on what people tell us. New data from the internet—the traces of information that billions of people leave on Google, social media, dating, and even pornography sites—finally reveals the truth. By analyzing this digital goldmine, we can now learn what people really think, what they really want, and what they really do. Sometimes the new data will make you laugh out loud. Sometimes the new data will shock you. Sometimes the new data will deeply disturb you. But, always, this new data will make you think.

Everybody Lies combines the informed analysis of Nate Silverâ€Ös The Signal and the Noise, the storytelling of Malcolm Gladwellâ€Ös Outliers, and the wit and fun of Steven Levitt and Stephen Dubnerâ€Ös Freakonomics in a book that will change the way you view the world. There is almost no limit to what can be learned about human nature from Big Data—provided, that is, you ask the right questions. 

Kritik

"This book is about a whole new way of studying the mind . . . an unprecedented peek into people's psyches . . . Time and again my preconceptions about my country and my species were turned upside-down by Stephens-Davidowitz's discoveries . . . endlessly fascinating." Steven Pinker, author of The Better Angels of Our Nature 

Autoreninfo

Seth Stephens-Davidowitz is a contributing op-ed writer for the New York Times, a lecturer at The Wharton School, and a former Google data scientist. He received a BA from Stanford and a PhD from Harvard. His research has appeared in the Journal of Public Economics and other prestigious publications. He lives in New York City.