 They also set the ratio \(\frac{p(F\mid T)}{p(F\mid \nneg T)}\). about the conditional expectation of a replication failure to 0.5, meaning that the aficionado is considerably less confident that there will be a replication failure if the original result is true than if it is false. They point out that the extent to which the aficionado is less confident depends on the quality of so-called auxiliary assumptions about the replication experiment. Here, auxiliary assumptions are assumptions which enable one to infer that particular things should be observable if the theory under test is true. The intuitive idea is that the higher the quality of the assumptions about a replication study, the more one would expect to observe a successful replication if the original result was true. While they do not specify precisely what makes such auxiliary assumptions have high “quality” in this context, presumably this quality concerns the extent to which the assumptions are probably true and the extent to which the replication experiment is an appropriate test of the veracity of the original results if the assumptions are true.