People’s conditional probability judgments follow probability theory (plus noise)
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Presents a model of conditional probability judgment that follows probability theory.

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Describes how systematic effects (biases) are caused by random noise in the model.

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Explains observed biases in people’s probability judgment in terms of these effects.

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Presents two experiments strongly confirming the predictions of this model.

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