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  anchorContext: 'More generally, suppose we have a medical test that detects a sickness with a 90% true positive rate \\(10% false negatives\\) and a 30% false positive rate \\(70% true negatives\\)\\.  A positive result on this test represents the same strength of evidence as a test with 60% true positives and 20% false positives\\.  A negative result on this test represents the same strength of evidence as a test with 9% false negatives and 63% true negatives\\.',
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  text: 'Would that mean that the strength of evidence is the TP/FP ratio ? in that case, it would have the same definition as the relative likelihood. Wouldn't there be a better definition for either one of the notions so that we can easily differentiate them ? ',
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