kaeptak's review

2.0

I was excited about this book and wanted to like it, but it just fell pretty flat for me. I was intrigued by many of the points the author made about the way we can use big data to make assertions, but found the conclusions he made to be grossly generalized on topics that were intentionally salacious. I feel like I have gained some good information and have more examples of how big data can be interpreted, but did have a hard time pushing myself to finish this book. Honestly, if you read the first 1/3 of the book, you'll probably get the overarching point since the ideas and examples become pretty repetitive after that. This was a good try at making big data and interpretation of internet data approachable, but it felt too dumbed down (as someone not well versed in this area) and purposefully provocative for my taste.

msmurph's review

4.0

An approachable, interesting read. I wish the author went into more depth on fewer topics instead of tidbits across the board since some felt a bit thin, but still recommend this to anyone interested in big data nonetheless. This book sparks loads of “dinner table” topics at the very least.

jinbin's review

3.75
informative medium-paced

coralined's review

4.0
informative inspiring lighthearted reflective medium-paced
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onesime's review

4.0

Good pop-culture intro to data science. Apart from the tautological argument in the Freud section a pleasure to read.
internationalkris's profile picture

internationalkris's review

3.0

Big data from internet searches and the theories that can be extrapolated from it from are indeed fascinating and the author has collected a lot of interesting bits of it here.
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milksunk's review

3.0
informative reflective medium-paced

I first heard about this book while listening to an episode of the Freakonomics podcast. The premise sounded really interesting, especially as work with big data was becoming more and more popular.

Now reading the book in 2020 I initially was feeling mixed. The center of attention is on the U.S. for the most part and quite some time is spent on topics that don't seem too important. The book wants to convey a powerful message but the author is somehow afraid that people won't read his book if he keeps it too serious. Nevertheless, I was constantly highlighting interesting paragraphs and googling certain facts to learn more. The book succeeded in not only keeping my attention towards what's on the pages, but also made me curious to learn more. I think Everybody Lies provides a really good jumping off point for someone who is interested in big data and how it could potentially impact our world.

I would recommend this book to anyone who is curious to learn more about human behavior, or is looking for a jumping off point to learn why data analysis can be so interesting.

vculanathan's review

3.0

Fun read with disparate fun facts using google’s ngram tool, not sure I walked away with much more than a couple surprises that I quickly forgot but it was well organized and written
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amusicalbookworm's review

3.0

This book had some interesting concepts, but I was annoyed at the tone of the author (pretentious? Trying too hard to be funny? Idk) I can’t fully recommend it, but I did learn some interesting tidbits throughout. Internet data is a topic with limited research just because it is so new, so I did appreciate learning about the author’s different findings. I feel very middle of the road about this book.