Thinking, Fast and Slow

Thinking, Fast and Slow

2011 • 499 pages

Ratings468

Average rating4.1

15

I had high expectations since it's so popular, but I thought it read like a watered down statistics book with overly repetitive examples. While there are some good nuggets in here, I only finished about half before skimming the rest with Kindle X-Ray (cool feature!!).

My key takeaways:
- Bayesian statistics should be front of mind when analyzing results and predicting outcomes.
- Don't fall for the mistake of using insufficient and small samples
- I will forget the other 2 takeaways frequently. Statistically speaking. :)

Happy for the takeaways, but the book itself left much to be desired.

January 29, 2017