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 worldprovided 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 informationunprecedented in historycan tell us a great deal about who we arethe 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 didnt vote for Barack Obama because hes 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 whos 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 potentialrevealing 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 healthboth 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|
|Number of Pages||:||338 pages|
|Url Type||:||Home » Everybody » Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are|
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are Reviews
This is a pretty fun use of "big data"- the mindbogglingly massive data set produced every day from the Internet- to analyze human behavior in ways we never have been able to. Some favourite revelations below.
Nearly everyone predicted Clinton would win the 2016 election. But Stephens-Davidowitz wouldn’t have, looking at Google data. Googling “Clinton” or “Trump” doesn’t really say much (you might google them whether you hate or love them) but if you google “Clinton Trump d ...more
For a social scientist such as Stephens-Davidowitz, big data has four central virtues. First, it’s a “digital truth serum”: it supplies honest data on matters people lie about in surveys, for instance racist attitudes, but above all (to quote Mick Jagger) “sex and sex and sex and sex”. Second, it offers the means to run large-scale randomised controlled experiments – which are usually extremely laborious and expensive – at almost no cost, and in this way uncover causal linkages in addition to m ...more
UPDATE: In summary, the author bounces back and forth between real data/numbers and pure speculation. It's fascinating, really, as that's got to be the entire point: to show us how to tell what's real and what's fiction as we are bombarded by information..
Yes, "Everybody Lies" including, obviously, the author because if Seth Stephens-Davidowitz never lies, I'm sure the subtitle would have been "Except Me Within This Book". So, from our data thus far, we know the author lies, and ...more
The title steered me a bit off-course at first—I thought it was one of those self-help psychology books that I tend to avoid.
I eventually decided to give it a shot, mostly because Steven Pinker, and author I highly respect, wrote the forward. So glad I did.
To the author Mr. Davidowitz , I did finish the book, so did I with regard to the first two books you mentioned below --moot point for the third book as it’s not even on my to-read list ;-)
“more than 90 percent of readers finished Donna Tart ...more
It’s no lie! Big Data shows the majority of my Goodreads reviews begin with bad Dad Jokes. LOL.
This book is The National Enquirer meets Big Data Science.
It features all the stuff that stops people in their tracks in the grocery check out line and grabs their attention: Sex, crime, weird sex, abuse, freaks, drugs and even weirder sex. It’s sometimes on the edge of gratuitous but still an interesting, easy and well-written read.
The best part of this book? It validates something that has been susp ...more
…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 especially true since people sometimes don’t so much query Google as confide in it: “I hate my boss.” “I am drunk.” “My dad hit me.”There’s lies, damned lies and then there are statistics. One must won ...more
I recommend this highly with a couple of caveats.
The central insight of this book is that you can get a better idea of what people actually think, despite what they say to others (or even to themselves) by looking at Google and Pornhub searches (among other anonymized big data sets). Things that people won’t admit to other people (thoughts of suicide, to whom they are attracted, homicidal thoughts, racist thoughts, dissatisfaction with a marriage, regrets over having children, etc.) are often cl ...more
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 else, read this book. If you've ever seen a politician quote a study and your innate bullshit filter clogged up, read this book.
Really simple, high-level terms: READ. THIS. BOOK.