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

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An Economist Best Book of the Year

A PBS NewsHour Book of the Year

An Entrepeneur Top Business Book

An Amazon Best Book of the Year in Business and Leadership

New York Times Bestseller

Foreword by Steven Pinker, author of The Better Angels of our Nature

Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—provided we ask the right questions.

By the end of an average day in the early twenty-first century, human beings searching the internet will amass eight trillion gigabytes of data. This staggering amount of information—unprecedented in history—can tell us a great deal about who we are—the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than twenty years ago, seemed unfathomable.

Everybody Lies offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn’t vote for Barack Obama because he’s black? Does where you go to school effect how successful you are in life? Do parents secretly favor boy children over girls? Do violent films affect the crime rate? Can you beat the stock market? How regularly do we lie about our sex lives and who’s more self-conscious about sex, men or women?

Investigating these questions and a host of others, Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab. With conclusions ranging from strange-but-true to thought-provoking to disturbing, he explores the power of this digital truth serum and its deeper potential—revealing biases deeply embedded within us, 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. All of us are touched by big data everyday, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world.

Review

“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

“Move over Freakonomics. Move over Moneyball. This brilliant book is the best demonstration yet of how big data plus cleverness can illuminate and then move the world. Read it and you’ll see life in a new way.” — Lawrence Summers, President Emeritus and Charles W. Eliot University Professor of Harvard University

“Everybody Lies relies on big data to rip the veneer of what we like to think of as our civilized selves. A book that is fascinating, shocking, sometimes horrifying, but above all, revealing.” — Tim Wu, author of The Attention Merchants

“Brimming with intriguing anecdotes and counterintuitive facts, Stephens-Davidowitz does his level best to help usher in a new age of human understanding, one digital data point at a time.” — Fortune, Best New Business Books

“Freakonomics on steroids―this book shows how big data can give us surprising new answers to important and interesting questions. Seth Stephens-Davidowitz brings data analysis alive in a crisp, witty manner, providing a terrific introduction to how big data is shaping social science.” — Raj Chetty, Professor of Economics at Stanford University

“Everybody Lies is a spirited and enthralling examination of the data of our lives. Drawing on a wide variety of revelatory sources, Seth Stephens-Davidowitz will make you cringe, chuckle, and wince at the people you thought we were.” — Christian Rudder, author of Dataclysm

“A tour de force―a well-written and entertaining journey through big data that, along the way, happens to put forward an important new perspective on human behavior itself. If you want to understand what’s going on in the world, or even with your friends, this is one book you should read cover to cover.” — Peter Orszag, Managing Director, Lazard and former Director of the Office of Management and Budget

“Stephens-Davidowitz, a former data scientist at Google, has spent the last four years poring over Internet search data . . . What he found is that Internet search data might be the Holy Grail when it comes to understanding the true nature of humanity.” — New York Post

“Everybody Lies is an astoundingly clever and mischievous exploration of what big data tells us about everyday life.  Seth Stephens-Davidowitz is as good a data storyteller as I have ever met.” — Steven Levitt, co-author, Freakonomics

“A whirlwind tour of the modern human psyche using search data as its guide. . . . The empirical findings in Everybody Lies are so intriguing that the book would be a page-turner even if it were structured as a mere laundry list.” — The Economist

“Pivotal . . . A book for those who are intensely curious about human nature, informational analysis, and amusing anecdotes to the tune of Steven Levitt and Stephen Dubner’s Freakanomics.” — Library Journal

About the Author

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.

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Seth is a data scientist, economist, and author. He has worked as a data scientist at Google, a contributing op-ed writer for the New York Times, and a visiting lecturer at The Wharton School. He is the author of 3 books, including Everybody Lies, which was a New York Times bestseller and an Economist Book of the Year. He has a BA in philosophy from Stanford and a PhD in economics from Harvard. He lives in Brooklyn and is a passionate fan of the Mets, Knicks, Jets, and Leonard Cohen.

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Product information

Publisher ‎Dey Street Books; Illustrated edition (May 9, 2017)
Publication date ‎May 9, 2017
Language ‎English

Product information

Publisher ‎Dey Street Books; Illustrated edition (May 9, 2017)
Publication date ‎May 9, 2017
Language ‎English
Hardcover ‎352 pages
ISBN-10 ‎0062390856
ISBN-13 ‎978-0062390851
Dimensions ‎1.3 x 5.7 x 8.3 inches
Amazon Bestseller
Customer Reviews 4.4 out of 5 stars 5,955Your Review

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  • ユーザー
    5.0 out of 5 starsVerified Purchase
    サッと読めた
    Reviewed in Japan on November 7, 2021
    データサイエンスという言葉に馴染みが無かったけど、インターネットが出る前から我々の生活に馴染みのあるものだと認識し親しみがわいた。
    本の題名とは別に筆者が伝えたかった事として、データサイエンスが如何に我々の生活をよく出来る可能性を持っているか?という事を例を上げながら説明していたので、興味深く一気に読めてしまった。
    データサイエンスという言葉に馴染みが無かったけど、インターネットが出る前から我々の生活に馴染みのあるものだと認識し親しみがわいた。
    本の題名とは別に筆者が伝えたかった事として、データサイエンスが如何に我々の生活をよく出来る可能性を持っているか?という事を例を上げながら説明していたので、興味深く一気に読めてしまった。
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  • putchees
    4.0 out of 5 starsVerified Purchase
    人はGoogleにウソをつかない
    Reviewed in Japan on August 1, 2017
    Format: Hardcover
    若きデータサイエンティストによる「ビッグデータ」についての本。 ややカジュアルすぎる書き口ですがたいへん面白かったです。 著者はおもにGoogleサーチの結果を分析することで、人が本当に何を考えているかを解き明かそうとしています。 ソーシャルメディアやアンケートなどで、人はしばしばウソをつくので、そこから導かれる調査結果は誤りが多いと指摘します。いっぽうGoogleサーチに蓄積されたデータは、人々の真の姿を明らかにする、と著者は主張します。...
    若きデータサイエンティストによる「ビッグデータ」についての本。
    ややカジュアルすぎる書き口ですがたいへん面白かったです。
    著者はおもにGoogleサーチの結果を分析することで、人が本当に何を考えているかを解き明かそうとしています。
    ソーシャルメディアやアンケートなどで、人はしばしばウソをつくので、そこから導かれる調査結果は誤りが多いと指摘します。いっぽうGoogleサーチに蓄積されたデータは、人々の真の姿を明らかにする、と著者は主張します。
    たとえば妻はSNSでは夫を「すばらしい」と書くのに、Googleでは「うっとうしい」と検索していると。
    Googleサーチ（とポルノサイト）で人がいったい何を検索しているのか、という調査結果はどれも面白く、思わず人に話したくなるトリビアに満ちています（それだけで読む価値あり）。
    著者は単なるトリビアを超え、検索結果のデータ分析が児童虐待の発見や医療診断に役立つ可能性を指摘しています。
    さらにデータ分析が「相関関係｣を超えて物事の「因果関係」を導ける可能性にも言及しています。ポパーを引き合いに、疑似科学がビッグデータの力で反証可能性をそなえた科学になるのではないか、と。
    インターネットのさらなる可能性を教えてくれる、間違いなく「読ませる」一冊。
    （30代前半でこういう知的でユーモアに満ちた文章を書ける日本人の著者はいないような気がするのが悲しい…）
    若きデータサイエンティストによる「ビッグデータ」についての本。
    ややカジュアルすぎる書き口ですがたいへん面白かったです。
    著者はおもにGoogleサーチの結果を分析することで、人が本当に何を考えているかを解き明かそうとしています。
    ソーシャルメディアやアンケートなどで、人はしばしばウソをつくので、そこから導かれる調査結果は誤りが多いと指摘します。いっぽうGoogleサーチに蓄積されたデータは、人々の真の姿を明らかにする、と著者は主張します。
    たとえば妻はSNSでは夫を「すばらしい」と書くのに、Googleでは「うっとうしい」と検索していると。
    Googleサーチ（とポルノサイト）で人がいったい何を検索しているのか、という調査結果はどれも面白く、思わず人に話したくなるトリビアに満ちています（それだけで読む価値あり）。
    著者は単なるトリビアを超え、検索結果のデータ分析が児童虐待の発見や医療診断に役立つ可能性を指摘しています。
    さらにデータ分析が「相関関係｣を超えて物事の「因果関係」を導ける可能性にも言及しています。ポパーを引き合いに、疑似科学がビッグデータの力で反証可能性をそなえた科学になるのではないか、と。
    インターネットのさらなる可能性を教えてくれる、間違いなく「読ませる」一冊。
    （30代前半でこういう知的でユーモアに満ちた文章を書ける日本人の著者はいないような気がするのが悲しい…）
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  • Amazon Customer
    5.0 out of 5 starsVerified Purchase
    Great Book
    Reviewed in Japan on June 20, 2017
    Format: Hardcover
    Perfectly arrived, same as described. And of course a superb read
    Perfectly arrived, same as described. And of course a superb read
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  • 宗宏
    5.0 out of 5 starsVerified Purchase
    ネットを使う人々の心の内が見える恐ろしさと可能性を教えてくれる
    Reviewed in Japan on September 2, 2018
    気鋭のデータサイエンティストが、性に関する検索分析から、通常のアンケートや対面調査では決して明らかにならない人間の（ネットを使うという限定だが）真の姿を明らかにする。　その上で、投票行動や経済動向まで、従来の手法とは全く異なる結果を導く可能性を示唆する。　性に関する分析を多用することで、タブー視されるポリティカルコレクトネスで見えなくなる隠れトランプがあぶり出されることの納得性が増す。　取り上げる題材は刺激的だが、ビジネス書として読みたい。　検索をする際、ふと、気持ち悪さも覚えるようになる副作用は仕方がない。　
    気鋭のデータサイエンティストが、性に関する検索分析から、通常のアンケートや対面調査では決して明らかにならない人間の（ネットを使うという限定だが）真の姿を明らかにする。　その上で、投票行動や経済動向まで、従来の手法とは全く異なる結果を導く可能性を示唆する。　性に関する分析を多用することで、タブー視されるポリティカルコレクトネスで見えなくなる隠れトランプがあぶり出されることの納得性が増す。　取り上げる題材は刺激的だが、ビジネス書として読みたい。　検索をする際、ふと、気持ち悪さも覚えるようになる副作用は仕方がない。　
    2 people found this helpful
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  • Amazon カスタマー
    2.0 out of 5 starsVerified Purchase
    .
    Reviewed in Japan on July 9, 2020
    Format: Paperback
    Not that interesting
    Not that interesting
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  • Rr
    5.0 out of 5 starsVerified Purchase
    Quienes somos cuando internet es nuestro asesor?
    Reviewed in Mexico on October 28, 2024
    La llegada de internet y la super conectividad, el mundo cambia y las sociedades y al final, el ser humano. Siendo un mundo despersonalizado, las personas, preguntan, buscan y se identifican con grupos e información que antes no tenían, no necesariamente para ser mejores...
    La llegada de internet y la super conectividad, el mundo cambia y las sociedades y al final, el ser humano. Siendo un mundo despersonalizado, las personas, preguntan, buscan y se identifican con grupos e información que antes no tenían, no necesariamente para ser mejores seres humanos, pero más para confirmar sus visiones de vida (sesgados) que eventualmente les hacen estar más convencidos de sus propias convicciones. La era de la información -hasta ahora- ha funcionado para confirmar formas de pensar (incluso radicalizarlas). Ante una mayor oleada de información, el ser humano se defiende fortaleciendo sus valores no abriéndose a otras posturas pues para cuestionarse, lo cual es necesario. Nadie nos preparó para la era de la información. El acceso a la información no hace al ser humano mejor (no por ahora) porque procesar esa información lleva tiempo y preparación sistemática que aun no existe. En Everybody Lies, Davidowitz, demuestra que el ser humano actúa -impresionantemente igual a otros seres humanos con sus mismas características y por otro lado de acuerdo con sus impulsos animales. Mentimos ante encuestas personales, pero no frente al internet. Los buscadores de internet evidencian la forma de pensar del ser humano, sus preocupaciones, sus culpas y sus deseos (algunos terribles). Parece que el internet es un puente que moverá a la humanidad a entenderse así misma, para eso pasará mucho tiempo.
    La llegada de internet y la super conectividad, el mundo cambia y las sociedades y al final, el ser humano. Siendo un mundo despersonalizado, las personas, preguntan, buscan y se identifican con grupos e información que antes no tenían, no necesariamente para ser mejores seres humanos, pero más para confirmar sus visiones de vida (sesgados) que eventualmente les hacen estar más convencidos de sus propias convicciones. La era de la información -hasta ahora- ha funcionado para confirmar formas de pensar (incluso radicalizarlas). Ante una mayor oleada de información, el ser humano se defiende fortaleciendo sus valores no abriéndose a otras posturas pues para cuestionarse, lo cual es necesario. Nadie nos preparó para la era de la información. El acceso a la información no hace al ser humano mejor (no por ahora) porque procesar esa información lleva tiempo y preparación sistemática que aun no existe. En Everybody Lies, Davidowitz, demuestra que el ser humano actúa -impresionantemente igual a otros seres humanos con sus mismas características y por otro lado de acuerdo con sus impulsos animales. Mentimos ante encuestas personales, pero no frente al internet. Los buscadores de internet evidencian la forma de pensar del ser humano, sus preocupaciones, sus culpas y sus deseos (algunos terribles). Parece que el internet es un puente que moverá a la humanidad a entenderse así misma, para eso pasará mucho tiempo.

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  • Marie Bucci
    5.0 out of 5 starsVerified Purchase
    Un livre à lire
    Reviewed in France on January 15, 2018
    J'ai beaucoup aimé ce livre, plus profond qu'il y paraît, très intéressant pour les personnes qui s'intéressent au big data et aussi éclairant sur certains aspects de la société dans laquelle on vit et les perspectives qu'ouvre le Big Data pour les étudier....
    J'ai beaucoup aimé ce livre, plus profond qu'il y paraît, très intéressant pour les personnes qui s'intéressent au big data et aussi éclairant sur certains aspects de la société dans laquelle on vit et les perspectives qu'ouvre le Big Data pour les étudier. Je recommande. Le petit bémol comme certains l'ont dit est sa grande taille, il ne rentrait pas dans mon sac... Pour les français qui n'auraient pas confiance en leur anglais, ce livre est écrit dans un anglais assez simple, n'ayez pas peur.
    J'ai beaucoup aimé ce livre, plus profond qu'il y paraît, très intéressant pour les personnes qui s'intéressent au big data et aussi éclairant sur certains aspects de la société dans laquelle on vit et les perspectives qu'ouvre le Big Data pour les étudier. Je recommande. Le petit bémol comme certains l'ont dit est sa grande taille, il ne rentrait pas dans mon sac... Pour les français qui n'auraient pas confiance en leur anglais, ce livre est écrit dans un anglais assez simple, n'ayez pas peur.

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  • Glenn Cameron
    5.0 out of 5 starsVerified Purchase
    New look at Big Data
    Reviewed in Canada on June 13, 2017
    I found this book very informative. It opened up an entirely new approach on how 'big data' can be used in social science. It is well written and easy to understand the concepts even if you are not a data scientist. He provides an interesting blend in the book, both...
    I found this book very informative. It opened up an entirely new approach on how 'big data' can be used in social science. It is well written and easy to understand the concepts even if you are not a data scientist. He provides an interesting blend in the book, both of the process of using big data and some of the results he has tested.
    I found this book very informative. It opened up an entirely new approach on how 'big data' can be used in social science. It is well written and easy to understand the concepts even if you are not a data scientist. He provides an interesting blend in the book, both of the process of using big data and some of the results he has tested.

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  • Cliente Amazon
    5.0 out of 5 starsVerified Purchase
    Sugerente
    Reviewed in Spain on October 31, 2024
    A book with very Interesting ideas
    A book with very Interesting ideas

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  • Staz
    5.0 out of 5 starsVerified Purchase
    Fascinating and Timely Analysis
    Reviewed in the United States on November 5, 2017
    I became interested in this book after hearing an interview with the author on the radio, and it certainly lived up to expectations. “Everybody Lies” is a truly timely and fascinating book that primarily explores how using Google data can deliver more reliable results that...
    I became interested in this book after hearing an interview with the author on the radio, and it certainly lived up to expectations. “Everybody Lies” is a truly timely and fascinating book that primarily explores how using Google data can deliver more reliable results that underscore people’s true thinking and predicts their behavior. The author’s hypothesis, which is backed by data, is that people typically lie even when taking anonymous surveys, but they effectively can’t lie to themselves when they’re conducting searches on Google. Some of my favorite parts of the book were the various studies the author conducted using Google search data, particularly regarding sexual orientation, voting behavior, and racial biases. That said, I also really enjoyed earlier parts of his book that had nothing to do with Google and talked about big data generally, particularly when he talked about studies involving horse racing and the socioeconomic backgrounds of NBA players. There was also a section of the book that talked about students who did and didn’t attend highly competitive public schools in New York and measured the impact on their future, which I thought was very interesting. Generally, as interesting as the individual studies were, I think the underlying implications behind them were even more compelling, whether in the business, political, or academic realms. If the book has flaws, I would say that the author could be overtly preachy at times, to a degree to which I could see skeptics using his clearly stated opinions as reasons to wrongfully discard his analysis. For example, his analysis on why people voted for Donald Trump is simultaneously interesting and disturbing when he ties it to underlying feelings regarding race. But the author makes so many off-handed comments about Trump throughout the book that I could see anyone “on the fence” being completely turned off regardless of what the data says, for right or wrong. Likewise, I think his conclusions about Big Data are a bit bombastic. The key value in this book are the insights about Google data, however the author tries positioning his work as being on the cutting edge of a big data “revolution” that in reality is almost a decade old. Still, the book was fantastic overall and certainly gives you a lot to think about. I really do think the implications of using Google data are pretty incredible and the author does a great job presenting his findings and its potential uses and/or pitfalls. I would highly recommend this book to anyone mildly curious about big data or human psychology.
    I became interested in this book after hearing an interview with the author on the radio, and it certainly lived up to expectations. “Everybody Lies” is a truly timely and fascinating book that primarily explores how using Google data can deliver more reliable results that underscore people’s true thinking and predicts their behavior. The author’s hypothesis, which is backed by data, is that people typically lie even when taking anonymous surveys, but they effectively can’t lie to themselves when they’re conducting searches on Google.

    Some of my favorite parts of the book were the various studies the author conducted using Google search data, particularly regarding sexual orientation, voting behavior, and racial biases. That said, I also really enjoyed earlier parts of his book that had nothing to do with Google and talked about big data generally, particularly when he talked about studies involving horse racing and the socioeconomic backgrounds of NBA players. There was also a section of the book that talked about students who did and didn’t attend highly competitive public schools in New York and measured the impact on their future, which I thought was very interesting. Generally, as interesting as the individual studies were, I think the underlying implications behind them were even more compelling, whether in the business, political, or academic realms.

    If the book has flaws, I would say that the author could be overtly preachy at times, to a degree to which I could see skeptics using his clearly stated opinions as reasons to wrongfully discard his analysis. For example, his analysis on why people voted for Donald Trump is simultaneously interesting and disturbing when he ties it to underlying feelings regarding race. But the author makes so many off-handed comments about Trump throughout the book that I could see anyone “on the fence” being completely turned off regardless of what the data says, for right or wrong. Likewise, I think his conclusions about Big Data are a bit bombastic. The key value in this book are the insights about Google data, however the author tries positioning his work as being on the cutting edge of a big data “revolution” that in reality is almost a decade old.

    Still, the book was fantastic overall and certainly gives you a lot to think about. I really do think the implications of using Google data are pretty incredible and the author does a great job presenting his findings and its potential uses and/or pitfalls. I would highly recommend this book to anyone mildly curious about big data or human psychology.

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