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A look at how all of the data that we put on the Internet can be used in various social sciences to answer some interesting questions about what really makes us tick. 

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.

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

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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