On that example of Robins and Ritov; or A sleeping dog in harbor is safe, but that’s not what sleeping dogs are for
Read OriginalThis article analyzes a famous statistical paradox introduced by Robins and Ritov, which demonstrates a scenario where a committed subjective Bayesian can arrive at a very wrong answer under certain randomization schemes. The author walks through the problem setup, explains how the error occurs, and then deconstructs the notion of a 'committed subjective Bayesian' to argue that the paradox can be resolved from within that framework, expanding understanding rather than patching a hole.
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