 Another suggestion about the connection between abduction and Bayesian reasoning—to be found in Okasha 2000, McGrew 2003, Lipton 2004 (Ch. 7), and Dellsén 2018—is that the explanatory considerations may serve as a heuristic to determine, even if only roughly, priors and likelihoods in cases in which we would otherwise be clueless and could do no better than guessing. This suggestion is sensitive to the well-recognized fact that we are not always able to assign a prior to every hypothesis of interest, or to say how probable a given piece of evidence is conditional on a given hypothesis. Consideration of that hypothesis’ explanatory power might then help us to figure out, if perhaps only within certain bounds, what prior to assign to it, or what likelihood to assign to it on the given evidence.