 The fact that the update proceeds by conditionalization means that all of the kinds of evaluation of evidence that conditionalization imposes come along with that. Misleading self-doubting defeaters troubled some authors above and led them to level-splitting views, but they are handled by Re-Cal as conditionalization always handles them. Self-doubting defeaters are processed at face value as relevant to the calibration curve in proportion to their quality as evidence. Convergence theorems tell us that if the world isn’t systematically deceptive then the misleading defeaters will be washed out, that is, defeated by some other evidence, in the long run. In some cases that will happen only long after we’re all dead, but if one views that as inadequate then that is a dissatisfaction with subjective Bayesianism, and is not specific to its usage here.