“Science looks to Statistics for an objective measure of the strength of evidence in a given body of observations. The Law of Likelihood explains that the strength of statistical evidence for one hypothesis over another is measured by their likelihood ratio” (Blume (2002)). In this paper, we compare probabilities of weak and strong misleading evidence based on record data with those based on the same number iid observations from the original distribution. We shall also use a criterion defined as a combination of probabilities of weak and strong misleading evidence to do the above comparison. We also give numerical results of a simulated comparison.

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