Signal and Noise

Black Swans hide in the noise — you can't separate them from randomness until they've already hit

Accuracy depends on separating the signal from the noise in your data

Thinking in probabilities means accepting that noise exists and accounting for it

The narrative fallacy is what happens when you mistake noise for signal and build a story around it