Whew. I selected this book without realizing how relevant it was to the work I do. If, like me, you happen to be really interested in Bayesian statistics or interpretable machine learning models, it's a fascinating read. There was an additional twist for me because I switched from agriculture to human genetics, and in doing so, I noticed a shift in the way statistical problems were often addressed that I was not able to explain. Some historical observations in this book really helped to clarify for me why I had observed these differences. The book is written in a very bold, confrontational style (again, you will probably feel this way more if you are invested at all in modern debates around statistics and machine learning). I found it very engaging, although I definitely took some breaks to digest the content, or to sketch out problems in my field on paper using the tools described.

At its best, this book was like someone remembering a word for you that you had been straining to recall. It was very satisfying to have clear answers and explanations for problems that you have been dealing with for a long time.