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Predicting the Future with Bayes' Theorem

Farnam Street (Shane Parrish), after Thomas Bayes · 2022

"Good judgment under uncertainty means continuously updating your probability estimates as new evidence arrives, weighting that new evidence against what you already knew (your 'priors') rather than either ignoring new evidence or overreacting to it as if nothing else mattered."

The idea

Bayesian updating means treating your existing beliefs ('priors') as probabilities rather than fixed facts, then adjusting those probabilities up or down whenever new evidence arrives, in proportion to how strong that evidence actually is — rather than either dismissing the new evidence entirely or discarding your prior knowledge and starting over as if the new data were the only information that mattered.

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