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A unified explanation of variability and bias in human probability judgments: How computational noise explains the mean–variance signature.
Human probability judgments are both variable and subject to systematic biases.Most probability judgment models treat variability and bias separately: a deterministic model explains the origin of bias, to which a noise process is added to generate variability.But these accounts do not explain the characteristic inverse U-shaped signature linking mean and …