
Arithmetic for changing your mind: start from a prior, weigh new evidence by how much likelier it is under one hypothesis than another, arrive at a posterior. For an investor a thesis is a prior, and each earnings report should move conviction in proportion to its surprise. Refusing to update is still Bayes, just with the evidence weighted at zero.
Why some forecasts succeed and most fail, from weather to earthquakes and economics.
Recommended by: Bill Gates, Mohnish Pabrai, Sophie Bakalar
The Good Judgment Project; the practices that measurably improve forecasts.
Recommended by: Patrick Collison and 9 others
A 20-year test of 28,000 expert forecasts: foxes with many models beat hedgehogs.
“All pundits and commentators should publish their prediction track records, yet don't. What to pay attention to and what to ignore.” — Marc Andreessen
Source: @pmarca, 'Thread: Books I've recently read and recommend'
Recommended by: Marc Andreessen, Michael Mauboussin and 2 others
Calibration and the value of information applied to intangibles.
Recommended by: Julia Galef, Nick Ganju
How evidence and probability were reasoned about before formal statistics
Recommended by: Nassim Nicholas Taleb