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A review by tentacuddles
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us about Who We Really Are by Seth Stephens-Davidowitz
4.0
Interesting, but a bit light; with a questionable narrator.
A number of people seem to have a distaste for the narrator; I like him, but the pieces that would make someone else feel otherwise are plain to see. Considering a variety of things he says/jokes that might not land, the controversial topics and his methods of talking about them, and some of the individuals he interacts with. On structure; while all the pieces of the text here are solid enough on their own, they don't flow together very well, and while the author pines towards this greater idea of data science it dosen't seem to find itself quite in this book.
If you find the concept of big data interesting; Stephens does a good enough job of explaining it and the potential it can go in. There's still the usual arrogance/aloof(ness?) you'll find from economists, but it's not as egregious as with most other authors. All the crique aside, this might push me to pursue data science more thouroughly, as Stephens shed's some light on a subject that is more often referenced than it is explained.
Recommend for those interested in big data. Read a sample before committing.
A number of people seem to have a distaste for the narrator; I like him, but the pieces that would make someone else feel otherwise are plain to see. Considering a variety of things he says/jokes that might not land, the controversial topics and his methods of talking about them, and some of the individuals he interacts with. On structure; while all the pieces of the text here are solid enough on their own, they don't flow together very well, and while the author pines towards this greater idea of data science it dosen't seem to find itself quite in this book.
If you find the concept of big data interesting; Stephens does a good enough job of explaining it and the potential it can go in. There's still the usual arrogance/aloof(ness?) you'll find from economists, but it's not as egregious as with most other authors. All the crique aside, this might push me to pursue data science more thouroughly, as Stephens shed's some light on a subject that is more often referenced than it is explained.
Recommend for those interested in big data. Read a sample before committing.