 Bayesians, especially the more modest ones, might want to retort that the Bayesian procedure is to be followed if, and only if, either (a) priors and likelihoods can be determined with some precision and objectivity, or (b) likelihoods can be determined with some precision and priors can be expected to “wash out” as more and more evidence accumulates, or (c) priors and likelihoods can both be expected to wash out. In the remaining cases—they might say—we should simply refrain from applying Bayesian reasoning. A fortiori, then, there is no need for an abduction-enhanced Bayesianism in these cases. And some incontrovertible mathematical results indicate that, in the cases that fall under (a), (b), or (c), our probabilities will converge to the truth anyhow. Consequently, in those cases there is no need for the kind of abductive heuristics that the above-mentioned authors suggest, either. (Weisberg 2009, Sect. 3.2, raises similar concerns.)