Everybody Lies Big Data New Data and What the Internet Can Tell Us About Who We Really Are 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 no

  • Title: Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
  • Author: Seth Stephens-Davidowitz Steven Pinker
  • ISBN: 9780062390851
  • Page: 294
  • Format: Hardcover
  • 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 beiBlending 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 , 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 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.

    • Best Read [Seth Stephens-Davidowitz Steven Pinker] ç Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are || [Self Help Book] PDF ✓
      294 Seth Stephens-Davidowitz Steven Pinker
    • thumbnail Title: Best Read [Seth Stephens-Davidowitz Steven Pinker] ç Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are || [Self Help Book] PDF ✓
      Posted by:Seth Stephens-Davidowitz Steven Pinker
      Published :2019-03-24T23:55:36+00:00

    About “Seth Stephens-Davidowitz Steven Pinker

    1. Seth Stephens-Davidowitz Steven Pinker says:

      Seth Stephens-Davidowitz Steven Pinker Is a well-known author, some of his books are a fascination for readers like in the Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are book, this is one of the most wanted Seth Stephens-Davidowitz Steven Pinker author readers around the world.



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

    1. …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 statis [...]

    2. 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 scientific methods of research. Unprofessional jokes are thrown in randomly. If you need a footnote to explain why a joke was not homophobic maybe you should have just skipped the joke. And any book of less [...]

    3. 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.

    4. 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 like to admit to low-brow preferences; racists do not want to admit to their prejudices, most people who watch pornography do not want to admit to it, and even voting is often misrepresented; some people wh [...]

    5. 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 fact. People sometimes lie to pollsters.Stephens-Davidowitz was told by mentors and advisors not to consider Google searches worthwhile data, but the more he looked at it, the more he was convinced th [...]

    6. 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.

    7. 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 Noise fala de tendências de dados e Dataclisma fala do comportamento das pessoas dentro do OkCupid!, Everybody Lies fala de como as pessoas se comportam em geral.O autor usa uma série de dados de fo [...]

    8. 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, pollsters, and ourselves, but not to that white box where you type internet searches. Both before and after the election everyone went nuts trying to figure out why Trump was doing so much better than p [...]

    9. 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 questions like this have been posed in Freakonomics: A Rogue Economist Explores the Hidden Side of Everything. The usefullness of big data has been discussed by ones such as Dataclysm: Who We Are (discussion o [...]

    10. 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 (current US presidents not excluded, just sayin). Still, it's good to know.

    11. I was annoyed by the author’s writing style in ‘Everybody Lies’. I have no doubts author Seth Stephens-Davidowitz was trying to write to a large general audience, including that assumed class of American non-science reader who hates math and binge watches ‘Keeping Up with the Kardashians’. Good for him, and maybe you, right? But I became more and more annoyed as I read. Ah, well. It is an interesting and informative read, in spite of trying too hard to be fun, imho.What is the book abo [...]

    12. 3.5 starsThis is an engaging and informative book about the huge amount of data available online and what it tells us about society. I read it alongside Dataclysm and found Everybody Lies to be by far the better of the two, presenting a wealth of information in a cohesive fashion and making fewer unfounded assumptions. The author was a data scientist at Google, and draws in large part on the searches people make on the site, along with information from sites including Facebook and Pornhub.There [...]

    13. 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 Donn [...]

    14. 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 ORIGINAL REVIEW: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 m [...]

    15. This book could have used a good editor. It tries to be a Gladwell-type of book without fully succeeding. Issue 1 is that the anecdotal stories are not fleshed out enough to really draw you in like Gladwell does. This causes much of the book to come across as a list of facts, and it gets pretty old by the midway point.The other issue is a growing trend among people writing data books. They want to write in a colloquial style to make it seem informal and easy to read. They don't want to scare off [...]

    16. Delightful, very engaging read on modern takes on data analysis. Fans of Levitt and Pinker I am sure will enjoy.Hardly any 'cons' to flag up but it is a bit on a short side and overwhelmingly US focused. Still very clever and thought-provoking Overall: definitely worth your time

    17. A great book, I enjoyed every word of it. It is amazing how much we can learn about sex, penis size, homosexuality, racism, and many other interesting topics by just looking at the searches made by the people. I can’t wait to read his next book, tentatively titled Everybody (Still) Lies."More than 40 percent of complaints about a partner’s penis size say that it’s too big."

    18. 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 [...]

    19. It’s no lie! Big Data shows the majority of my 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 suspected [...]

    20. via my blog: bookstalkerblog.wordpress/“In 2014, there were about 6,000 searches for the exact phrase “how to kill your girlfriend” and 400 murders of girlfriends.” As a chapter tells us, ALL THE WORLD’S A LAB. The data collected and shared by Seth Stephens- Davidowitz is downright disturbing at times. That there are dark sexual proclivities isn’t shocking so much as what they are, based on research. Also, who knew that your neighbor winning the lottery can have a strange impact on y [...]

    21. 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 [...]

    22. Interesting data, but sometimes with uncleared assumptions. For example, there is no way to know why exactly some search term is used. Some (?, I don't know how many) data scientists believe their algos based on big data can reveal something about real world. Most often it is not, but this illusion is one the reasons why they have their jobs. I see all this A.I./ML/DL nonsense every day. Movie suggestions, Facebook feed, Google suggestions, all are sh*t, have no way to guess my true intentions ( [...]

    23. The author is a bit too bragging, exaggerating, and name dropping for my taste. Still, i do not regret spending the time with the book (but would regret paying money if it would not be a library borrow).Memorabilia. Predicting rate of unemployment with the frequency of porn site searches (amount of time on their hands). Predicting success of dating (listen, then listen some more, then, when you think you are done listening, listen some more). Doppelganger (DOPP-el-gang-er) searches in Internet ( [...]

    24. No practicing analyst or social scientist will find anything of value in this book. It verges on being dangerously deceptive, filled with logical fallacies and half baked reasoning for it's conclusions. The book claims to be finding truth in an uncertain world, but actually is just adding to the noise.

    25. Critical analysis of Big Data takes a fine mind that knows how to look at correlations. The author is educated and practiced at it. Not only that but he is adept at choosing to present compelling findings on subjects that I'm sure he knows readers are interested in, because he has that skillset! Do you want to know how to figure out which racehorses are champions? What is the best family configuration for the top NBA stars? What do people who watch porn search for most? The author chooses fun an [...]

    26. I never really thought of big data that much as a social science tool. After reading this book I'm starting to think big data can do for sociology what MRI has been able to do for psychology. I'm excited to see what the future holds. I definitely can pick up the influence of Freakanomics, Malcolm Gladwell, and Stephen Pinker in this book. If you like any of those three, definitely pick up this book.

    27. Good primer on the potential of Big Data. Some really interesting information too. It started off well, I was really hooked the first few chapters but later it got a bit dry, maybe because the subject matters being discussed weren't particularly exciting. I'd say 3.5/5.0

    28. Of the multiple names that have been stocked to our recent times, I think”the age of information” is the most accurate oneAccess to information has never been such easy.You can think of any idea whatsoever its importance and then you just flip up your laptop, open Google page and find out nearly all that we have known about it through history.What we don’t often think about is that there is a data analyst sitting somewhere and using our search history to figure out what we are thinking abo [...]

    29. There are so many things to love about this book. Not the least of which is that it focused largely on how big data would act like a truth serum and replace terrible self report findings when trying to answers myriad questions that arise in all areas of life. I say bravo to that! However, just because you identify a problem with one measurement method (self-report), it does not necessarily mean you have found the fix. Does big data sound extremely promising? Hell yes. In fact, i think when we le [...]

    30. At 58%, I give up. DNF.I've seldom read anything that contained so many individually interesting (if shallow) sentences and still bored the hell out of me. I'm also tired of reading about the author's infatuations with baseball, Google, and porn. I am counting this book as read, however, because I should get some small (if valueless) reward for the time I lost reading it. Some random, non-linear thoughts because I'm not interested enough in the book to try harder at this point: 1. The author wor [...]

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