 Once again, Bayes’ theorem vindicates this truism. \(p(H\mid E)\) is calculated by multiplying \(p(H)\) by the factor \(p(E\mid H)/p(E)\). We can think of the factor \(p(E\mid H)/p(E)\) as capturing the extent to which the evidence counts for \(H\) (or against it, if \(p(E\mid H)/p(E)\) is less than 1), which we then multiply against the previous probability of \(H\), \(p(H)\), in order to obtain \(H\)’s new, all-things-considered plausibility. If \(H\) was already implausible, \(p(H)\) will be low and the result of this multiplication will be smaller than it would be if \(H\) had already been plausible, and \(p(H)\) had thus been high.