  The real difference between the measures in a given row concerns the effect of unconditional probabilities on relations of incremental confirmation.  Down the right column, the degree to which E provides incremental evidence for H is directly proportional to H's probability expressed in units of P(T) or P(~H).  In the left column, H's probability makes no difference to the amount of incremental evidence that E provides for H once PH(E) and either P(E) or P~H(E) are  fixed.[14]  In light of Bayes' Theorem, then, the difference between the ratio measures and then difference measures boils down to one question: