
Everybody Lies
Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
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Narrado por:
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Timothy Andrés Pabon
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 reveal about ourselves and our world - provided we ask the right questions.
By the end of an average day in the early 21st 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 20 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 every day, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world.
WARNING: This audiobook contains explicit language.
PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio.
©2017 Seth Stephens-Davidowitz (P)2017 HarperCollins PublishersListeners also enjoyed...




















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Very intriguing
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The data brought up in the book are fascinating enough to keep someone interested, but I was beaten over the head with the author's bias and repetition of the same points.
Made it through 4 chapters. Then finally decided, what was the point in continuing knowing that the same points would be reiterated over and over. I started to feel like the author simply wanted to brainwash me over to his political views. The narrative of "of course side A is right" really annoyed me. If I'm looking at something for statistical evidence, I don't care to know the author's bias. Oh, and great way to give your own grandmother a backhanded insult in a book thousands of people will read, Seth Stephens-Davidowitz. After that snippet into your life, I understood why you couldn't find a date.
Redundant and biased
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WOW
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Data talks
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El mejor libro de este año
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Worth the read but not a reliable text for the long-term and this the reason it won't have the staying power or impact of Freaknomics or Thinking Fast and Slow.
Informative Read-Minus Authors Political Bias
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For fans of pop econ.
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Despite arming myself with undisputed information I can now use to discuss Race and Gender inequality, the most rewarding takeaway from the book was actually the discussion about digital doppelgangers and how big Data can convince us that those woulda coulda shoulda conversations we have about past life changing moments aren't worth the grief or attention we give it.
Definitely worth a 2nd listen.
Good on more points than you'd expect
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The author does qualify his findings and warns of the possible miss use of such data and the need for much more detail studies. The author also does specifically mention not to jump too far into conclusions and keep in mind correlation v. Causation.
Over all a good taught provoking book. I'm sure Steven Levitt from Freakonomics would be pleased to know of his influence on the author. Lastly, I hope the author enjoyed having his beer and not waistline time on s long conclusion.
Intriguing.
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Interesting and Intriguing
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