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Weight given to an observation (normalized logistic regression coefficient) as a function of the rank of the observation obtained by simulating the optimal observer. On each trial, observations were ranked by their values. Downweighting of more outlying values occurs only when incorrect likelihoods (grey, dashed line) but not when correct ones (black, solid line) are used.
