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The uncertainty about the accuracy of estimating the uncertainty of a class of events. In information theory, meta-uncertainty is calculated on the probability distribution of possible samples drawn at random from a hypothetical universe having the same uncertainty or entropy as the sample actually observed. E.g., statistical tests of the significance of a null-hypothesis involve a distribution of test results and if the latter is an uncertainty, the uncertainty associated with an uncertainty measure is meta-uncertainty. By the law of large numbers meta-uncertainty decreases with increasing number of observations. (Krippendorff)
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