A Moveable Feast (Kenneth F. Kiple) : The first half is a somewhat condensed version of the Cambridge World History of Food and covers different plants and foodstuffs from around the world. The rest of the book is about how eating habits changed over time as food exchange has diversified and now homogenized our eating habits. The only problem with the book is that it has a fair bit of apocrypha and debunked origin stories, so YMMV. I enjoyed it.
Are You My Mother? (Alison Bechdel) : Bechdel’s memoir about her relationship with her mother. It is stuffed to the brim with references to D.W. Winnicott, which can be a plus or minus depending on whether you like psychoanalysis. I thought it was engaging and worth reading, but to be honest I am not sure to whom I would recommend it. I feel like if you read the synopsis and think it sounds interesting, you will like it, and if not, you won’t.
The Learners (Chip Kidd) : This is a follow-up to The Cheese Monkeys, which I rather enjoyed. The Learners is a little leaner but still has those nerdy and fun (to me, tedious to others) asides on the art of graphic design and typography. The Milgram experiment features prominently, so if you are fascinated by that you might also like this as a piece of (sort of) historical fiction.
This Is A Bust (Ed Lin) : A novel set in New York’s Chinatown in the 1970’s and featuring Vietnam vet and alcoholic token Chinese cop Robert Chow as he struggles to turn his life around and find himself. It’s the first in a series and I will probably read the rest. Recommended for those who like detective novels.
Fisher, Neyman, and the Creation of Classical Statistics (Erich L. Lehmann) : The title says it all. It’s more about the personalities and their history than it is particularly about the math, but there’s a nice discussion at the end of Fisher’s confusing notion of fiducial probability and Neyman’s confidence intervals. I think it’s hard to put yourself back in that time period when people really didn’t have a good sense of how to think about these kind of statistical problems (maybe we still don’t have a good idea). Fisher’s work has become near-dogma now (unfortunately), but it’s interesting to see how these basic frequentist methods came about historically. Plus you get to learn more about the enigmatic “Student!” Recommended for those with an interest in the history of statistics.