Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
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'Everybody Lies' provides a quick overview of how big data can be used to understand human behavior and the social sciences. The author presents simple examples that should be easily understood by most readers. However, there is a sense that the scientific methods discussed in the book are still in their early stages and not widely used, at least in academic circles. In my opinion, these techniques are actually being applied more frequently in the business and marketing fields than the book suggests. As someone who enjoys reading non-fiction technical material, I would have liked the author to provide more details about their workflow and data analytics processes. Overall, it's a straightforward and enjoyable read, although it doesn't offer any groundbreaking revelations.
In my opinion, it felt like the reader may have unintentionally altered the intended message of the author due to their tone. The author comes across as rather arrogant, but despite that, there is valuable information to be found in the book. Moreover, it's a fast-paced and enjoyable read.
The author appears to harbor strong prejudices against certain races and groups, all the while attempting to maintain an illusion of moral superiority. I am genuinely surprised that Steven Pinker, whose other works I admire, allowed his name to be associated with this book. In reality, Pinker's contribution is limited to a one-page foreword, which makes me suspect that he received a significant financial incentive for lending his name to the project. Like many others, I was likely drawn to this book because of Pinker's involvement. I would advise against reading it unless you believe that the author's racism and classism towards impoverished working-class whites can be overlooked as a mere means for him to present himself as a moral exemplar.
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