pick⭐️⭐️⭐️⭐️ I enjoyed this more than I expected to. Silver digs into what the calls “The River,” characterized by people who take big, calculated risks in order to maximize payoffs and profiles and interviews professional gamblers, Silicon Valley founders, cryptocurrency inventors and others to illustrate several related concepts. The last few chapters include a philosophical look at the potential outcomes of AI. It was interesting.
pickWow! Excellent and thorough. The super technical chapters about how the solid rocket boosters worked were a tougher slog for me than the chapters in which Vaughan laid out the theory of the normalization of deviance, but this was well worth reading overall. I borrowed my copy but need one of my own for a re-read!
pickI love stories of survival and death in extreme environments and this book collected several plus added the stories of the loved ones back home. Some of the writing is so beautiful and haunting I keep reading pieces out loud to anyone who will listen.
so-soI liked it but it‘s dense and difficult. In some ways it felt it had one really good point and was dragging it out. That idea, however, is fascinating. I told everyone I was reading this book simply to try and have someone to discuss it with - it would have enhanced this experience
pick4⭐️
This book works quite well and once the reader gets the cadence down it flows pretty smoothly. I like the message a lot, and it reminds me of Oh the Places You‘ll Go. It says try new things and I like that message a lot.
so-soWhile this was much more accessible than I expected, it wasn‘t quite what I wanted. It was a lot of succinct information about a lot of topics, I was looking for more depth on some of the black swan events and the fallout from them. Penny also seems to feel it wasn‘t quite worth her attention.
Book 9 for #15books15weeks
pickAfter 10 years on my bookshelf, I‘ve finally read it. Bernstein set out to do two things - one fell short. Where he excelled was to weave a compelling narrative of ideas that explain our understanding of risk, through intuition to probability to predicting and managing risk. Where he fell short was in his attempt to argue that any sort of faith held us back from quantifying risk. It‘s a fine thesis but he failed to substantiate it with facts. 👇
Probably just a little too ambitious for one weekend, but hoping to finish the tagged book and final chapter of new edition of Paul Starr, which is a favorite.
