Learning to reason clearly about uncertainty
A story-driven, from-first-principles walk through probability theory — how to quantify uncertainty, update beliefs with evidence, and reason correctly about chance in data, models, and the real world.
6 chapters · 439 min
Sample spaces, events, and the rules that govern chance
How new information reshapes what you thought you knew
Turning uncertain outcomes into numbers you can actually compute with
The catalog of shapes randomness takes, and how to pick the right one
Boiling a whole distribution down to its center, spread, and how variables move together
When one random variable isn't the whole story — reasoning about several at once
1 chapters · 26 min
Sample spaces, events, and the rules that govern chance