Finished reading Bunny
book
Wants to read Zuber: Two Centuries of Panoramic Wallpaper
Finished reading Command and Control: Nuclear Weapons, the Damascus Accident, and the Illusion of Safety
Wants to read The Savoy Cocktail Book
Rated ダンジョン飯 10 [Dungeon Meshi 10] 10/10
Rated 極主夫道 1 [Gokushufudō 1] 10/10
Rated One-Punch Man, Vol. 9 8/10
Rated チェンソーマン 6 [Chainsaw Man 6] 10/10
Rated One-Punch Man, Vol. 14 8/10
Rated Tatsuki Fujimoto Before Chainsaw Man: 22–26 8/10
Rated One-Punch Man, Vol. 10 10/10
Rated ダンジョン飯 11 [Dungeon Meshi 11] 10/10
Rated ダンジョン飯 6 [Dungeon Meshi 6] 10/10
Rated Chainsaw Man, Vol. 1: Dog and Chainsaw 10/10
Rated ダンジョン飯 9 [Dungeon Meshi 9] 10/10
Rated Delicious in Dungeon, Vol. 1 10/10
Rated チェンソーマン 13 [Chainsaw Man 13] 10/10
Complex and brainy, but very interesting; I think it's the best you can do at explaining what Bayes' rule is to non-specialists like me. With an admirable minimum of equations, McGrayne talks about the origin of the Bayes statistical method, the controversies around it, and its wide range of applications. I almost wish I could give it something more like 3 1/2 stars, because I feel like I should have come away from the book with a better ability to explain exactly what Bayes' rule is, rather than having a sort of vague intuitive sense. But I think this is a great intro for non-mathematicians, even if only for the glimpse inside the world of mathematicians and engineers and programmers that I wouldn't usually get.
Rated ダンジョン飯 8 [Dungeon Meshi 8] 10/10