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Theory of visual confidence has largely been grounded in the gaussian signal detection framework. This framework is so dominant that people could be rather ignorant of idiosyncratic consequences from this distributional assumption. By contrasting gaussian and logistic signal detection models, this paper systematically evaluates the consequences of auxiliary distributional assumptions in the measurement of metacognitive accuracy and its theoretical implications. We found that these models candoi:10.31234/osf.io/3vxg5 fatcat:qe4khbiauvb53nq4ffhh2i26vi