Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are by Seth Stephens-Davidowitz

Into the Wild

Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are Read Online Free - 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 affect 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.



Title : Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
Author :
Rating :
ISBN : 0062390856
Edition Language : English
Format Type : Hardcover
Number of Pages : 354 pages


Reviews


Will rated it ★★★★☆

July 17, 2017

…people’s search for information is, in itself, information. When and where they search for facts, quotes, jokes, places, persons, things, or help, it turns out, can tell us a lot more about what they really think, really desire, really fear, and really do than anyone might have guessed. This is...


Jessica rated it ★★☆☆☆

April 26, 2017

This book tries too hard to be Freakonomics. The first two parts are full of random examples of interesting but mostly pointless things that can learned via Google search trends. However, a whole lot of assumptions are made off these bits of data that don't seem to have much basis in factual scie...


Lori rated it ★★★★★

February 03, 2018

When sociologist ask people if they waste food, people give the only correct answer. It's wrong to waste food. When sociologist survey the contents of the same people's garbage, they get a more accurate answer. Just imagine how much more information is available trolling through internet searches....


David rated it ★★★★☆

January 21, 2018

This is an engaging book about how big data can be used to improve our understanding of human behavior, thinking, emotions, and preference. The basic idea is that if you ask people about their behavior or their preferences in surveys, even anonymous surveys, they will often lie. People do not lik...


Trish rated it ★★★☆☆

November 07, 2017

Maybe everyone does lie. But they don’t lie all the time. Stephens-Davidowitz makes the good point that asking people directly doesn’t always, in fact may not often, yield true answers. People have their own reasons for answering pollsters untruthfully, but it is clear that this is a documented f...


Atila rated it ★★★★★

June 12, 2017

Acertei em cheio nessa leitura! Seth Stephens-Davidowitz apresenta uma análise de como as pessoas se comportam, na mesma linha do The Signal and the Noise: Why So Many Predictions Fail - But Some Don't e do Dataclisma: Quem somos quando achamos que ninguém está vendo. Mas enquanto Signal and the...


Richard rated it ★★★★☆

February 21, 2018

I have nothing unique to add to the conversation about this book. I think those most in need of reading it won't, and that's frustrating. If you've ever seen a number adduced to explain a trend, read this book. If you've ever asserted that a certain percentage of something was something/something...


Caroline rated it ★★★★★

June 10, 2017

I wish I could give this book more than five stars. Anyone who has a sneaking feeling that Americans aren't who they SAY they are will find confirmation here. It's also easy to read, no academic language here. I was already riveted by the introduction. His premise is that we all lie to each other,...


linhtalinhtinh rated it ★★★☆☆

May 13, 2017

A pretty short book with some interesting remarks, but not yet charming enough for me. The author definitely has his quirky and funny moments, when he presents himself, his family, and especially his views more. Yet the books' ideas and findings aren't exactly ground breaking. The types of questi...


Lubinka rated it ★★★★★

September 21, 2017

I sought out the book after reading an interview with the author, and it was totally worth it. The book is quite enlightening, and to be honest, deeply frightening. Internet data can work miracles for the benefit of humanity, but it can bring to life many unimaginable, Big-Brother-type nightmares...





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