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

(4)
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us about Who We Really Are image
ISBN-10:

1538416883

ISBN-13:

9781538416884

Edition: Unabridged
Released: May 09, 2017
Publisher: HarperAudio
Format: Audio CD

Description:

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 on 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 whites 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 were 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.

Best prices to buy, sell, or rent ISBN 9781538416884




Related Books

Frequently Asked Questions about Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us about Who We Really Are

You can buy the Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us about Who We Really Are book at one of 20+ online bookstores with BookScouter, the website that helps find the best deal across the web. Currently, the best offer comes from and is $ for the .

The price for the book starts from $13.29 on Amazon and is available from 7 sellers at the moment.

At BookScouter, the prices for the book start at $14.01. Feel free to explore the offers for the book in used or new condition from various booksellers, aggregated on our website.

If you’re interested in selling back the Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us about Who We Really Are book, you can always look up BookScouter for the best deal. BookScouter checks 30+ buyback vendors with a single search and gives you actual information on buyback pricing instantly.

As for the Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us about Who We Really Are book, the best buyback offer comes from and is $ for the book in good condition.

The Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us about Who We Really Are book is in very low demand now as the rank for the book is 4,519,404 at the moment. A rank of 1,000,000 means the last copy sold approximately a month ago.

Not enough insights yet.