What if the objective chances were not probabilities? If we endorse some kind of connection between known objective chances and belief—for example, a principle of direct inference or Lewis’ Principal Principle (Lewis 1986)—then we might have an additional reason to endorse imprecise probabilism. It seems to be a truth universally acknowledged that chances ought to be probabilities, but it is a “truth” for which very little argument has been offered. For example, Schaffer (2007) makes obeying the probability axioms one of the things required in order to play the “chance role”, but offers no argument that this should be the case.  Joyce says “some have held objective chances are not probabilities. This seems unlikely, but explaining why would take us too far afield” (2009: 279, fn.17). Various other discussions of chance—for example in statistical mechanics (Loewer 2001; Frigg 2008) or “Humean chance” (Lewis 1986, 1994)—take for granted that chances should be precise and probabilistic (Dardashti et al. 2014 is an exception). Obviously things are confused by the use of the concept of chance as a way of interpreting probability theory. There is, however, a perfectly good pre-theoretic notion of chance: this is what probability theory was originally invented to reason about, after all. This pre-theoretic chance still seems like the sort of thing that we should apportion our belief to, in some sense. And there is very little argument that chances must always be probabilities. If the chances were nonprobabilistic in a particular way, one might argue that your credences ought to be nonprobabilistic in the same way. What form a chance-coordination norm should take if chances and credences were to have non-probabilistic formal structures is currently an open problem.