 The probabilistic logic of evidential support represents the net support of a hypothesis by the posterior probability of the hypothesis,   \(P_{\alpha}[h_i \pmid  b\cdot c^{n}\cdot e^{n}]\).  The posterior probability represents the net support for the hypothesis that results from the evidence, \(c^n \cdot e^n\), together with whatever plausibility considerations are taken to be relevant to the assessment of \(h_i\). Whereas the likelihoods are the means through which evidence contributes to the posterior probability of a hypothesis, all other relevant plausibility consideration are represented by a separate factor, called the prior probability of the hypothesis: \(P_{\alpha}[h_i \pmid b]\). The prior probability represents the weight of any important considerations not captured by the evidential likelihoods. Any relevant considerations that go beyond the evidence itself may be explicitly stated within expression \(b\) (in addition to whatever auxiliary hypotheses \(b\) may contain in support of the likelihoods). Thus, the prior probability of \(h_i\) may depend explicitly on the content of \(b\). It turns out that posterior probabilities depend only on the values of evidential likelihoods together with the values of prior probabilities.