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Bayes Theorem Revisited

Let O(X) be the Odds that X happens.

O(Prediction|Clue) =
    O(Prediction)*
    (|Prediction=Present and Clue=Present|/|Prediction=Absent and Clue=Present)*
    (|Clue=Absent|/|Clue=Present|)

Correct me if I am wrong, but it seems like rarer the Clue, the more effective it is at making the prediction plausible. A rare clue that only happens together with the prediction is the best updater of the prior odds.



This post first appeared on Me In Words | A Compendium Of Plagiarized Ideas, please read the originial post: here

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Bayes Theorem Revisited

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