Everybody Lies

Everybody Lies

Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are

eBook - 2017
Average Rating:
Rate this:
How much sex are people really having? How many Americans are actually racist? Is America experiencing a hidden back-alley abortion crisis? Can you game the stock market? Does violent entertainment increase the rate of violent crime? Do parents treat sons differently from daughters? How many people actually read the books they buy? In this work, Seth Stephens-Davidowitz, a Harvard-trained economist, former Google data scientist, and New York Times writer, argues that much of what we thought about people has been dead wrong. The reason? People lie, to friends, lovers, doctors, surveys -- and themselves. However, we no longer need to rely on what people tell us. New data from the internet -- the traces of information that billions of people leave on Google, social media, dating, and even pornography sites -- finally reveals the truth. By analyzing this digital goldmine, we can now learn what people really think, what they really want, and what they really do. Sometimes the new data will make you laugh out loud. Sometimes the new data will shock you. Sometimes the new data will deeply disturb you. But, always, this new data will make you think.-- Source other than Library of Congress.
Publisher: [New York, NY] : Dey St., an imprint of William Morrow, [2017]
Copyright Date: ©2017
ISBN: 9780062390875
Characteristics: 1 online resource
text file

Related Resources


From the critics

Community Activity


Add a Comment
May 02, 2019

Just some guy's opinion wrapped up in a pseudoscientific evaluation of Google searches. You can't just observe something and then draw a bunch of conclusions about it. It might be mildly interesting for a conversation starter, but it is too low in actual usable information to be of help to anyone. I do agree with him in that everybody lies. I just don't agree that he has chosen the most interesting reason for why they do it.

(And he seems to have more than a fair share of Trump Derangement Syndrome)

Apr 21, 2019

The Google search box is the new confessional box for a digital age. A place where deepest fears and forbidden wishes find new, unfiltered expression. In this new confessional, we don’t seek salvation— we seek information. And the questions we ask it often reveal things about us that were previously hidden, or misunderstood.
Subtitled, “Big data, new data, and what the internet can tell us about who we really are,” this book was written by a former Google data scientist who uses “confessional” search data on a vast scale to draw new insight into the human condition. It’s a fascinating and compelling work which kept me reading from cover to cover in one day.
I could quibble with the author’s overconfidence in the power of internet search data to accurately depict people’s true selves, because I believe that our relationship with the digital world is fundamentally a charade, and will one day come to be seen as such. But for now, the newness and sheer volume of this new form of data is electrifying and groundbreaking, and has great potential to shed new light on the previously dark corners of the human psyche. I eagerly look forward to the author’s planned sequel in which he intends to dive deeper into the “small data” that lives between the topline trends.

SkokieStaff_Steven Mar 20, 2019

The ancient Romans had a saying about a mountain giving birth to a mouse. I thought of this as I listened to the audiobook of Seth Stephens-Davidowitz’s “Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us about Who We Really Are.” Stephens-Davidowitz makes great claims for the valuable insights that can be gleamed from the enormous data contained in digital sources such as Google searches and social media postings. Alas, his own insights thus gleamed lean toward the underwhelming. To give just one example, he goes to great lengths to finally answer the vexing question of whether professional basketball players tend to come from economically disadvantaged backgrounds. (Spoiler: they don’t.) His conclusions are meaningful, no doubt, but not comparable, say, to the germ theory of disease. Still, his book is always interesting in a “Freakonomics” sort of way, and well worth the reader’s time.

Feb 20, 2019

If it wasn't for the fact that this book is the February read for my job's book club, I probably would've never read it; but I am so glad that I did! I couldn't even pull something from it to quote in this review because I felt like there were whole paragraphs that I wanted to share.

Everybody Lies is both informative and fascinating. I feel like Seth Stephens-Davidowitz did a great job explaining the significance and revolutionary impact of data on our world. His thesis didn't surprise me; however, many of the findings that he shared in his book did. And based on everything Seth discussed in Everybody Lies, it's crystal clear that data science is real and it's impact on our lives is big.

Mar 10, 2018

Interesting and surprising insights into the meaning of what we English-speakers search for when we search on the Internets.
For example, "One theory I am working on: Big Data just confirms everything the late Leonard Cohen ever said." (82n)
Also, why did the author not bother sweating the book's conclusion, and go for beers with friends instead? You'll need to read the book to find out (but remember, the author's premise is that unless it's big anonymous data, everybody lies).
A quick, coherent read, told thoughtfully and with humour.

Mar 07, 2018

How disappointing this book turned out to be and I had to stop reading after page six when the author posited post election racism search results from Google. There is great promise in big data and it has certainly provided us with heretofore unknown insights. However, one has to be careful and inquisitive about results and findings. Correlation does not always prove causation. While the author is a data scientist, making blanket statements and not being curious or delving deeper into the results is a disservice to the field and readers.

Mar 03, 2018

Reminded me in some ways of Malcolm Gladwell books. Some of the stories are very unique, like the one about the guy who figured out how to tell if a horse would be a winning race horse or not. Some readers may find other topics less interesting. Towards the end he mentions a website that could be the start of some really useful medical research at PatientsLikeMe.com. Individuals can register there, contact others with similar health problems, keep records, and even participate in research projects.

Nov 13, 2017

"Google searches are the most important data set ever collected on the human psyche." The author, an economist and former Google data scientist, begins from this premise and examines the way that data analysis can reveal more about humanity than our answers to surveys (and certainly more than our self-conscious and image-conscious Facebook posts). As one telling example, Stephens-Davidowitz shows that Americans use the n-word in Google searches at an alarming rate (despite both polls and conventional wisdom about race relations), and that this behavior is spread equally across both political parties and across Eastern states. Parents ask Google twice as often if a daughter is overweight than a son (despite more overweight boys in the population); Google searches potentially also reveal data about sexual behaviors and hang-ups, about suicide rates, and about cannabis use.
Methodologically speaking, the author seems to place too much trust on pornography site searches as evidence of sexual tastes across humanity, but his overall introduction to "big data" analysis for social questions is strong and easy for the layperson to follow.

Oct 19, 2017

"Everybody Lies" by Seth Stephens-Davidowitz is not just a provocative title. Granted that is what lured me to pick it up but the introduction and very first chapter, "Your faulty Gut," hooked me. Seth is a data scientist to the core and he talks passionately about his craft or should i say Art? The premise of the book is that all humans lie or twist the truth in such a way as to make themselves look better - unless they are surfing the internet. It is these clicks that data scientists study to find truths. Perhaps the area were we lie the most is about our sexuality and our sexual proclivities. Thus the author spends a good bit of his chapter "Digital Truth Serum" examining this area and comes out with surprising realities. As the author states in his acknowledgement a professor asked him what his mother thought of the work he did; because of his work on taboo subjects. However, his mother taught him that he should follow his curiosity no matter where it led.
Stephens-Davidowitz compared the number of people who read the beginning of a book to those who read the end. Well, Seth I read not only your conclusion but your acknowledgement too. And yes, if the sequel comes out, "Everybody 'still' lies," you have one confirmed reader.

Sep 09, 2017

This book explains in a very interesting way how BIG DATA from internet could be analyzed and thus utilized in various domains in our lives (health, politics, education, sexuality, history... you name it!).

First an important distinction in the truth value between data collected from social media sites (e.g. Facebook) and data from search engines (e.g. Google search). So if according to the author "Facebook is digital brag-to-my-friends-about-how-good-my-life-is", it can not be a reliable source of who we really are. On the other hand analyzing what people search in Google is more truthful. An illustrative funny example: the top word wives associate with 'husbands' in FB is 'the best' 'my best friend' while in google search it is 'gay' 'a jerk'!

So, what makes BIG DATA from Internet so useful and unique to understand human social interactions (versus classical research such as surveys)?

First, it is more true (e.g. does racism really does not matter in political choices in America?).

Second, because of its great volume it can allow us to delve into very specific subsets of geography or segment. For example by analyzing the searching of some key symptoms we can know that en epidemic is occurring somewhere, or we can know the sexual preference of middle age women living in rural areas.

Third, it allows for experimentation in a very fast and cheap way (the A/B experiments obviously done on us everyday by Google and FB).

Fourth, it allows us to look at new data we would have never thought to seek with regular research (for example or when the US became a truly united country as to when it was referee to as the United State is not are!).

The book is loaded with interesting examples to illustrate the points and it is fun to read. It is also touching on the ethical implications of this revolution in data science.

It concludes with a BIG DATA analysis of the percentage of people who would finish a book (only 3% for a serious book like Capital in the 21st Century or 7% for Thinking, Fast and Slow, while more than 90% for a novel like Goldfinch!).

This is a very important book to understand the World we are living in now, and how are data scientists utilizing the information we post and type everyday in the Internet!

View All Comments


Add a Quote
SPPL_János Mar 25, 2018

"At the risk of sounding grandiose, I have come to believe that the new data increasingly available in our digital age will radically expand our understanding of humankind. The microscope showed us there is more to a drop of pond water than we think we see. The telescope showed us there is more to the night sky than we think we see. And new, digital data now shows us there is more to human society than we think we see. It may be our era's microscope or telescope—making possible important, even revolutionary insights."

Jul 13, 2017

There was a darkness and hatred that was hidden from the traditional sources but was quite apparent in the searches people made.


Add a Summary
Jul 13, 2017

Big data has been much hyped as the next big thing in science, but Everybody Lies sets out to show what can be done with big data that wasn’t possible before, while also acknowledging its shortcomings, and the ways it can be complemented by traditional small data collection techniques. Seth Stephens-Davidowitz makes the argument that the Google dataset he has been working with is particularly valuable, because unlike even anonymous surveys, users have an incentive to be honest, and little or no sense of wanting to impress anyone. To get the information they want from Google, they must query honestly about even the most taboo subjects, from sex to race to medical problems. Facebook, for example, is not nearly as useful, because people are consciously presenting a certain version of themselves to their friends. But if you want Google to bring you back the “best racist jokes,” you have to tell it so. You can’t hide, and still get what you want. The result is a partial but unprecedented glimpse into the human mind.

Age Suitability

Add Age Suitability

There are no age suitabilities for this title yet.


Add Notices

There are no notices for this title yet.

Explore Further


Subject Headings


Find it at APL

To Top