Everybody Lies: The New York Times Bestseller

I've told everyone who will listen about this book for the last 3 weeks. It's so entertaining, wildly interesting, and you will be the king or queen of fun facts for the foreseeable future. Bought an extra copy for a friend, and their ranting and raving about it tioo. Seth rocks, and if you ever have a question about anything he's written you can tweet him and he'll reply. what a guy! 11/10

The book was ok, none of the insights were terribly shocking. The author's voice was a little off putting and felt like he was attempting a Freak'onomics-esque writing style which left a lot to be desired. Made the content and the methodologies approachable which was good.

As good, if not better than Dataclysm, this book has more applications and greater aspirations for what can be done with Big Data. It is also very comparable to Jane McGonigal's Reality is Broken in how much aspiration this guy has in how he can change the world with what he knows.

I think everyone should be interested in data science, and this is a great introduction. The book goes throw many interesting insights you can find when you figure out where to look. If you're interested in doing data science yourself you'll get many great stories that will inspire your ideas. And even if you're not going to do data science yourself, you will learn many brilliantly interesting stories for your next social.

Seth makes a fascinating study of how data can be used to understand what people really think. When surveys and other resources fail us, people who can remain anonymous will give you information that you could not otherwise obtain.

The book "Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who..." is an excellent approximation to this new world of the Big Data through the enormous amount of information that ourself deposit in the social networks. The reading is enjoyable and is a page turner. Highly recommend.

I was expecting a thoughtful examination of how big data results in a lot of bad information and how to improve its use and get to "real" information. Instead, this just reads as the guy showing off the results of his applications of Google tools. His point that Google searches reveal something we don't admit to others is made (repeatedly) but is one dimensional. For example, increased Google searches for information behind racist thinking doesn't necessarily mean someone's a racist, it could be someone trying to understand racist rationale - this type of more complex, nuanced behavior is never touched upon or even thrown in as a toss-off line to account for it as a possibility for a fraction of said searches....anyway, I don't feel like this is a "must read" unless you haven't been on the internet in 4 years.

Loved the book. Conceptual topics. Written in clear English. Can't wait for Everybody Lies More! Be prepared to quote some results to friends who wont believe you or the numbers because they may think Everybody Lies including the author.

This is the new Freakonomics, but with a cheeky narrative. Stephens-Davidowitz does an excellent job in not only inspiring one to become a data scientist, but to think deeply about problems like racism, tax cheats, and removing bias in the data. This has been the best book I've read all year! I'm already anticipating his next one.

Brilliant treatment of Big Data written in a conversational style that is easy and fun to follow. With so much yet to learn from the advent if Big Data, the author speaks authoritatively and yet cautiously. We think we know, but not all is known.

A great follow-up to Freakanomics.

Well written, very timely, rich with anecdotes, and covers the Big Data's march through the current technology climate. Gave me anecdotes to intersperse my own presentations with, for cogent, persuasive arguments

A tour of possibilities with big data. And what's exciting is you can do some of this investigation on your own thanks to Google's generosity with trends. Seth is fearless delving into topics others would avoid out of politeness. But I'm glad he did so, because we learn a lot about people and about us. And how we got here in this mess.

As an aspiring data scientist, one of my biggest questions is what can big data solve? Through my research, I saw lots of esoteric things: predicting who will die on the titanic, digit analysis, classification of flowers. This book showed me real world applications that were interesting to me. Highly reccommend this book as an introduction to what data science is and can (and cannot) do.

Wow, a super interesting dive in to social issues and how humankind processes information and takes action. I was especially impressed by the correlation of racial animosity in google data and the language that caused the reaction.

Everybody definitely lies but this book might bring society closer to finding some truths. That said, Seth, I hope you didn't lie--noted as a possibility in your last footnote--because this is a fascinating book. I think your editor gave you good advice about the title, but I'd have bought it if you used the other one! Great read!

I love books that are written in a conversational, entertaining, and easy-to-understand tone while conveying useful and important information. Was assigned this for a college class and I couldn’t put it down (that’s a first for required reading)!

This is a thoughtful book about using big data such as google searches to develop hypotheses about what people think and do not just say. Data from these searches brings surprising views of human nature likely to make you smile, frown and scratch your head.

The book lists interesting research projects, based on Data Science technology, that refute common theories and ideas in the Social Sciences. Unfortunately, the presentation of some theses deviates from the academic norms. For example, the author claims refuting Freud theory by pointing to the fact that, in the contents of dreams, the frequency of fruits like bananas is not higher than the frequency of other (less sex related) fruits, without mentioning any reference according to which Freud theory allegedly entails this prediction. He continues claiming that this finding also refutes Popper's idea that Freud theory is empirically irrefutable (and therefore not scientific) without referring to any of Popper's arguments.

Really enjoyed this book, and although I recognise many of us find ourselves being more 'anonymously' honest with the 'click' and 'search', it is possible that some may simply be experimenting or continuing a lie via their clicks and searches out of curiosity, or perhaps now intentionally after reading this - just to keep big data guessing!

I did read all the way to the end even though I do not always…

Good and clear introduction to hypothesis-led research and Big Data. Great for casual reader and lay people. May be a bit basic for readers w research backgrounds, but even for those folks, there's something to learn from the way Stephens-Davidowitz teaches the concepts.

Great read. Each topic uncovers data never realized or often even considered. Each topic makes the curious mind brainstorm dozens of ideas that need explored further. Great read. Fascinating. Should be ground breaking to all people who believe in science, which I dream will some day be all people.

We amateurs can take home some practical skepticism from the studied and presentations in this work. How we're played. How we're manipulated. Through awareness take back some control from the manipulators.

Fascinating book with data that truly does tell a story. We live in a time where people need to be reporting on data to be making decisions. This book has some secret insights into what is going on in with politics, sex, & more.

I can't wait to read more from Seth Stephens- Davidowitz.

Keep up the great work sir!

Ever wonder what happens with all of the data being collected online? This book will introduce you to some interesting “big data” trends, opening the door for future scientists to find answers through analysis of big data.

Everybody Lies raises more questions that gives answers, but that is kind of the point. Where can studying "big data" lead us? It's a fascinating and terrifying question, with so much on the line both good and potentially bad.

Everybody Lies raises more questions that gives answers, but that is kind of the point. Where can studying "big data" lead us? It's a fascinating and terrifying question, with so much on the line both good and potentially bad.

I haven't actually finished the book yet, but some of the information included, based primarily on data gathered from Google and Facebook, absolutely fascinating! The author also writes in a very entertaining and easy-to digest manner. I recommend this book!

Really Great
Not only the core concept, but the findings that are discussed in the content are very interesting and wonderful.
Seth's main objective of writing this masterpiece, as declared in the conclusion, is to persuade the reader to get in to the data-mining business. I think I have stepped into the business now.
Thank you Seth

This is a a Freakonomics-esque look at modern data science, primarily through the lens of Google trends data. While I think some of the content is overstated in importance, it was enjoyable to read and is packed with lots of interesting morsels of knowledge.

The author presents new perspectives on conventional topics such as sex, education, and politics and even confirms “unpopular” truths like where many racist US residents live and if or if not standardized tests THE end-all-be-all of a student’s intelligence.

And there’s much more.