Everybody Lies by Seth Stephens-Davidowitz

Everybody Lies

Foreword by Steven PinkerBlending 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 tril...


Details Everybody Lies

TitleEverybody Lies
ISBN9780062390868
Author
Release DateFeb 20th, 2018
PublisherDey Street Books
GenreNonfiction, Science, Psychology, Economics, Technology, Business, Sociology
Rating

Reviews Everybody Lies

  • Will Byrnes
    1970-01-01
    …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.” Th...
  • Jessica
    1970-01-01
    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...
  • Lori
    1970-01-01
    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 image how much more information is available trolling through internet searches.
  • David
    1970-01-01
    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 e...
  • Trish
    1970-01-01
    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 ...
  • Atila Iamarino
    1970-01-01
    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 compor...
  • Caroline
    1970-01-01
    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 fi...
  • linhtalinhtinh
    1970-01-01
    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 b...
  • Lubinka Dimitrova
    1970-01-01
    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.
  • Emma Deplores Goodreads Censorship
    1970-01-01
    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 informatio...
  • Greg
    1970-01-01
    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, fr...
  • Ahmed Shaheen
    1970-01-01
    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."
  • Ram
    1970-01-01
    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...
  • Lolly K Dandeneau
    1970-01-01
    via my blog: https://bookstalkerblog.wordpress.com/“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 yo...
  • Tadas Talaikis
    1970-01-01
    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 a...
  • Elena
    1970-01-01
    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). Dop...
  • Matt Ward
    1970-01-01
    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 infor...
  • Steve Sarner
    1970-01-01
    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 o...
  • Dan
    1970-01-01
    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 marria...
  • Jade
    1970-01-01
    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 wat...
  • Amos
    1970-01-01
    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.
  • Anton
    1970-01-01
    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
  • Hakan Jackson
    1970-01-01
    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.
  • فتحي سرور
    1970-01-01
    Of the multiple names that have been stocked to our recent times, I think”the age of information” is the most accurate one...Access 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 ...
  • Yaaresse
    1970-01-01
    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 b...
  • Denver Public Library
    1970-01-01
    was absolutely fascinated with all the data and analytics thrown around in this title (subtitle: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are) by Seth Stephens-Davidowitz. Narrator Andres Pabon does a nice job, just enough intonation at the aha! parts without sounding fake. It's a very good audiobook, and there is an amazing amount of sex in it (gotcha!) since much of the early study of internet searching, marketi...
  • Jason
    1970-01-01
    It would be easy to dismiss this as a derivative Freakonomics clone or some Pollyanna PR piece for Big Data. And, yeah, it kind of is. But it's also something even better: an analysis of how mining the massive amount of data derived from Google searches, Facebook posts, video views, etc. can reveal new insights into human behavior unavailable through traditional sources of primary research--surveys, interviews, case studies, etc. Basically, every...
  • Susan
    1970-01-01
    Given my interest in data and how often people confuse correlational research and causation research I found this book fascinating. I was not surprised by some of the conclusions of analysis of Google data and trending topics as it relates to the election and politics and even porn. I also have to admit it does zero in on the one aspect of surveys and polls that are hard to eliminate and that is the social desirability factor. People always want ...
  • Mehrsa
    1970-01-01
    This one's really fascinating. Using google searches and huge data sets on internet activity, Davidovitz shows the secret lives of Americans. What is obvious to everyone by now is that there is a lot of racism that people are putting on the internet that they don't share in polite company. Also interesting are his observations about how surveys and public information does not accurately reveal someone's state of mind. I wish there was a more comp...
  • Tressa
    1970-01-01
    I couldn't even make it through the introduction. This is a perfect example of starting with a conclusion and then finding the data to support your conclusion. All a search shows you is the number of times the word or phrase is searched. It does not show intention. It does not show the number of times a certain person searches for the same word or phrase. The author makes a lot of assumptions based on his own presuppositions. I thought this would...