Evidence

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The likelihood ratio term $P(B|A)P(B|¬A)$ from Bayes' theorem is greater than 1 if the event B is evidence of the theory A, and less than 1 if the event is evidence against the theory.

The likelihood ratio term $\frac{P($P(B| A)}{P(B|\neg A)}A)P(B|¬A)$ from Bayes' theorem is greater than 1 if the event B is evidence of the theory A, and less than 1 if the event is evidence against the theory.

The likelihood ratio term $\$\frac{P(B | A)}{P(B|\neg A)}$ from Bayes' theorem is greater than 1 if the event B is evidence of the theory A, and less than 1 if the event is evidence against the theory.

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