…because I think I’m at the point where I can quote word-for-word from the conclusions of all the major current studies that go into the average one of these. Maybe a year or so from now, some new research will have been done, but right now, everything is starting to feel a bit recycled.
Daniel Kahneman’s Thinking Fast and Slow, for example: an elegant synthesis of an enormous amount of difficult information in an impressive amount of detail. It’s just that I knew a lot of it already, from reading many, many other books building on Kahneman’s work and cross-referencing him frequently. The pleasures I found here were in the smallest details, like seeing the actual math behind Bayes’ theorem (not that I could explain it now, mind you, but, much like my experiences with reading Stephen Hawking, for a few brief, shining hours, it all made perfect sense). I also enjoyed the focus on the role of luck, and the idea that in fact the idea of regression to the mean is essentially about luck, but I’m sure the book felt a lot more revolutionary to readers who hadn’t been down the path before.
Where Kahneman did an elegant overview, Dan Ariely‘s The Honest Truth About Dishonesty takes a zoom lens to one of the topics that’s covered almost as an aside in a lot of behavioral economics books: lying and cheating, and how we rationalize such behaviors to ourselves. Which, at least in this book’s opinion, basically boil down to various kinds of priming effects and contexts—though I will note that this did feel a little oversimplified, more so than in a lot of these book. Again, definitely interesting in the small details—I was especially intrigued by the research into the way one kind of act of dishonesty, like carrying a counterfeit Prada bag, can spread “contagiously” to one’s overall willingness to cheat in other circumstances—but none of it felt ground-breaking anymore either. To this reader, who freely admits she may be in a bit of a rut, anyway.