Everybody Lies by Seth Stephens-Davidowitz

Everybody Lies

Foreword by Steven Pinker, author of Thr Better Angels of our Nature 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 beings ...

Details Everybody Lies

TitleEverybody Lies
Release DateMay 9th, 2017
PublisherDey Street Books
Number of pages354 pages
GenreNonfiction, Psychology, Science, Sociology, Technology

Reviews Everybody Lies

  • Will Byrnes
    …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...
  • linhtalinhtinh
    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...
  • Lolly K Dandeneau
    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...
  • Peter Mcloughlin
    This book looks into the things we reveal about ourselves that no one can see except Google. Big Data overturns rocks and reveals some creepy crawlies in our body politic lurking on the underside of our public face. Be it very revealing searches on Pornhub to people looking for racist jokes on their search engines some ugly things are happening with people when no one is looking but your (hopefully anonymous) web browser. Aggregate data reveals o...
  • Jessica
    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...
  • Jason Park
    I received an ARC of this book as a giveaway from Goodreads, but my opinions are my own.I wasn't sure what to think of this book when I started it. I had never heard of Seth Stephens-Davidowitz or the publisher before, but it seemed like it could be a thought-provoking book and a learning experience. I was right, but I also had a few problems.Positives first. Like I said, I was skeptical from the beginning. I even actively disliked it at one poin...
  • Sean Sullivan
    I finished Everybody Lies in a single sitting. Not because it's short but because it's fascinating. Seth Stephens-Davidowitz presents insights gleaned from big data—Google, Facebook, Amazon, Pornhub—to entertain with counterintuitive discoveries. Each example is used to show the power, and limitations, of warehouses stacked with boxes of information and present a picture of how researchers can use big data to understand what people are really...
  • Josh
    Everybody Lies by Seth Stephens-Davidowitz is a book about how big data has the potential to transform both how we understand human needs and desires at a fundamental level and how to respond to these on personal, regional and global scales. Stephens-Davidowitz begins the book by stating that our public, Facebook life is much different than our private googling. On Facebook we "Love/Adore/Admire" our loved ones and on Google we search for creativ...
  • Daniel Frank
    A great book, by a great up-and-coming economist, on one of the most important topics of our time. The world would be truly better off if more people internalized the lessons of this book. Most of the content in Everybody Lies can be found in other places (most notably, in Seth's NYT columns), but it's nice to have all the content in one place for those unacquainted with the research.This book is at its strongest when it's analyzing search trends...
  • Stephen Yoder
    I enjoyed the stuffing out of this book. It was a fast read. Seth has written about a pretty wonky concept--Big Data--but, in software terms, his writing style has placed a really easy, unobtrusive user interface over all of that science, statistics, and (often) massive datasets.What I'd really enjoy would be a collaboration between Mr Stephens-Davidowitz and Sudhir Venkatesh. They are both looking in some corners of our society that have not bee...
  • Patrycja
    I won this book through GoodReads giveaway. The title is not really relevant to the content. I think it is misleading the reader. This book is not as much about lying but more about data found on the internet, and author's analyses about what we search online. I think we all know that everybody lies, and that it is easier to ask some questions anonymously online, or do online search. When every person does it, we all leave the trace online. ( And...
  • Vince
    I enjoyed this book. It reminded me of Freakonomics. I'm not sure that all the findings in this book will hold up - at times I wish the author went in to greater detail about the methodology because there were some obvious objections to some of the conclusions that the author didn't address. Like the geographic correlations have obvious statistical issues. And when he talks about searches and comparing them, it seems like it would be easy to miss...
  • Amanda
    Ever wondered if that thing you google at 4 am is just something you do? Seth Stephens-Davidowit takes what we are all thinking about but never talk about and puts it in writing. Detailed, thoughtful, and surprising, Seth Stephens-Davidowitz has a way of making even the most upsetting facts seem accessible and even normal. I'm not a data person, but i've already suggested Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About...
  • Arun Mahendrakar
    It's hard to imagine a book written mostly based on what people entered in Google search, but the author ingeniously used this easy-to-obtain repository to find many things about us.Obtaining an authentic source of data is key to any data analysis. He rightly argues that people are less truthful to their closest aides/partners, but disclose their honest feelings to a search engine. I'm guilty myself, so much so, that I'm cautious of what I enter ...
  • Amber
    I received a copy of this book through Goodreads' First Reads program. I found this to be a very readable, and mostly entertaining romp through the world of Big Data. Specifically, this focuses on what we can learn about human behavior from the data found in different areas of internet activity. As with any study of human behavior, there are some depressing, deeply concering, and downright odd things explored, but it all serves to illustrate the ...
  • Alan
    Another big data book, much like Freakonomics. I knew that Google queries were used for flu tracking, but there was so much more behind that. The author presented many interesting and counterintuitive findings. If you go searching, you can find many of the data sets discussed in the book on the author's web-site and can read is findings in more technical detail. Cool some of the sample sizes seems bit small.You should be warned. There is analysis...
  • Chris Bull
    The future Coming from a hard science background but spending most of my career in the soft social sciences, I was frustrated by gullibility of my colleagues. Surveys were the way to go and sampling need only be the minimum needed. Even observations were a foreign idea. And for data analysis, most could not operate a spread sheet.Data and plenty of it. I only fear the monetarising of the results. We are getting dry close to the point when you can...
  • Hakan Jackson
    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.
  • Jeffrey
    Interesting introduction to the use of Big Data in research. A lot of good information, delivered in a digestible manner, with an entertaining writing style. While the author does eventually discuss the limitations and problems with using Big Data, many of the examples given in the book as to the use of Big Data are over sold, or described in a causal manner when they are really only descriptive. This is useful in its own right, but oversells som...
  • Sarah
    I really enjoyed this book. This book fills in the massive gap between what we report and what we search on Google and sets up Google as humanity's ultimate confessor. This book was a smart, funny, sharp, and insightful in its analysis of what Big Data can tell us about the world and our habits. I am now more conscious of how I use Google (not in a "Big Data Is Watching" way, but in my relationship to Google in general). Fantastic book.
  • Tommy Collison
    There have been a handful of books written on the new phenomenon of Big Data, and this one's the best. An eminently readable, funny, and accessible look at what the data can tell us, rather than an an anodyne, report on the fact that Big Data is a thing now. The third section, on the shortcomings & ethical questions of big data, is frank and, pleasingly, doesn't feel like it's something tacked onto the end. Stephens-Davidowitz is one to watch.
  • Carol Checkler
    This book is jammed packed with new tools of how to dissect the human psyche. Many of the resources and ideas could be further developed into powerful tools applicable to just about everything in life, education, health care, criminal system, marketing, to name a few. I finished the book with heightened curiosity about Big Data, and am searching for more good reads on this topic.
  • Dolly
    This book is both data-rich and funny ... at the same time! The author is a PhD in economics from Harvard using cutting edge methods to study human behavior. Boy, is he finding great stuff ... and by great, I mean the stuff we need to know but would otherwise would never know. An essential and enjoyable read!
  • David
    While this book reviews some interesting studies, I felt like it could be 1/2 as long. If you're already familiar with other popular behavioral science books and have a basic understanding of things like how Google ranks pages, much in this book will be a review.
  • Robbie Forkish
    The author writes in an engaging fashion about new insights into the human condition that emerge from big data studies. He uses sources such as google searches, Facebook stats, porn site searches, voting records, tax records, subscription data and more to gain convincing and surprising perceptions on what we worry about and what motivates us. The book is new, and the author's research is in the news as he discovered, using a novel technique, that...
  • David W. Parker
    Great read about big data sets, why what we ask google is different than what we tell researcher and how that changes economics and social research (if you're not easily offended by references to porn data). If you're interested in Data Science application, it's a great read.
  • Emily
    This book is in that particular genre where the author tries to make his or her area of expertise (often physics for some reason, though clearly not in this case) palatable and accessible to the "common (wo)man." These types of books fail when the author doesn't dumb it down enough or dumbs it down too much. Stephens-Davidowitz's area is economics/social science by way of Big Data, and he dumbs it down just the right amount.At the beginning of th...
  • Kathleen
    I read this book after the author was interviewed on NPR's Hidden Brain podcast. I enjoyed the book, though I can't say after reading it I took much away. There wasn't anything that really wowed me, but Seth's results and discussions from various data analysis were interesting.
  • Kendall
    The only nonfiction book I have ever binge-read. I now know that when a hurricane is approaching people are 7x more likely to buy strawberry poptarts, among other more meaningful things. It reminded me a lot of Dataclysm, which I also really enjoyed, but was easier to read.
  • Joshua
    A fascinating look into the nature of data science and how the explosion of data generated by the internet is telling us new things about ourselves and turning social scientists into actual scientists. A worthy successor to Freakonomics.