Ask HN: Books you read in 2016?
- Introductory Statistics with R by Dalgaard, Peter. A solid introduction to stats, don't be scared by R bit in the title - it contains plenty of maths/theory so that knowledge is widely applicable. Brilliant introductory for everyone who wants to do something stats related. It's amazing how much can be done with no fancy deep learning algorithms, just plain simple stats.<p>- Statistics Done Wrong by Alex Reinhart. Plenty of gotchas with real world examples from academia. Well written and easy to read.<p>- The Circle by Dave Eggers. This one was scary. About imaginary corporation (a blend of Facebook and Google and Amazon) and probably not too distant future. If you liked Black Mirrors, you will love this.<p>- Brave New World by Huxley, Aldous. Classic novel with interesting thoughts about engineered society, where every human is assigned class, purpose in the society and feature at birth.<p>- Hatching Twitter: A True Story of Money, Power, Friendship, and Betrayal  by Bilton, Nick. Read this book in a weekend, really well written and well researched about the inception of Twitter.<p>- Superforecasting: The Art and Science of Prediction  by Tetlock, Philip E. A study on people with above average ability to forecast feature events (mostly geo-political). Talks about measuring predictions and improving them.<p>- The Black Swan by Nassim Nicholas Taleb. Brilliant book about overlooking rare events which have dramatic consequences because 'it's unlikely to happen'.