Book Club suggestion: "Calling Bullshit: The Art of Scepticism in a Data-Driven World," Bergstrom & West

 I came across this book review in the Economist (alright, I haven't actually read the book) and it sounds like a good set of perspectives and tools for every day life, whether as a scientist or not.  According to the reviewer, this is

"a helpful guide to navigating a world full of doubtful claims based on spurious data. Using clever anecdotes, nods to online culture and allusions to ancient philosophy, the book tells ordinary readers how to spot nonsense—even if they are not numerical whizzes. As well as sketching the difference between correlation and causality, the authors outline visualisation techniques and explain machine learning to arm people against assertions that seem, and so probably are, either “too good or too bad to be true”."

 It sounds like the sort of book we read a few years ago: "Weapons of Math  Destruction" by Cathy O'Neil.  That was a very helpful read; this one might be as well.  

Link to the review: https://www.economist.com/books-and-arts/2020/07/30/how-to-debunk-dodgy-data