Everybody Lies: Big Data, New Data, and what the Internet Can Tell Us about who We Really are

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William Morrow, 2017 - Big data - 338 pages
18 Reviews
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THE NEW YORK TIMES BESTSELLERAN ECONOMIST BOOK OF THE YEAR 2017Insightful, surprising and with ground-breaking revelations about our society, Everybody Lies exposes the secrets embedded in our internet searches, with a foreword by bestselling author Steven PinkerEverybody lies, to friends, lovers, doctors, pollsters - and to themselves. In Internet searches, however, people confess their secrets - about sexless marriages, mental health problems, even racist views. Seth Stephens-Davidowitz, an economist and former Google data scientist, shows that this could just be the most important dataset ever collected. This huge database of secrets - unprecedented in human history - offers astonishing, even revolutionary, insights into humankind. Anxiety, for instance, does not increase after a terrorist attack. Crime levels drop when a violent film is released. And racist searches are no higher in Republican areas than in Democrat ones. Stephens-Davidowitz reveals information we can use to change our culture, and the questions we're afraid to ask that might be essential to our health - both emotional and physical. Insightful, funny, and always surprising, Everybody Lies exposes the biases and secrets embedded deeply within us, at a time when things are harder to predict than ever.

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LibraryThing Review

User Review  - Kavinay - LibraryThing

The upshot of this book is not that big data is the holy grail. Rather, the recurring theme in all of Stephens-Davidowitz's interesting examples is just that most self-reporting is awful. I'm still ... Read full review

LibraryThing Review

User Review  - lpg3d - LibraryThing

While this book is a somewhat sort and easy read, it is nevertheless an important read. Big data is everywhere now, and many of the details of our lives are now recorded in databases. [b:Everybody ... Read full review

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About the author (2017)

Seth Stephens-Davidowitz is a New York Times op-ed contributor, a visiting lecturer at The Wharton School, and a former Google data scientist. He received a BA in philosophy from Stanford, where he graduated Phi Beta Kappa, and a PhD in economics from Harvard. His research - which uses new, big data sources to uncover hidden behaviours and attitudes - has appeared in the Journal of Public Economics and other prestigious publications. He lives in New York City.sethsd.com / @SethS_D

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