Abstract Proponents of modal knowledge accounts (safety and sensitivity) concur that one crucial advantage of their accounts is that they solve the so-called lottery problem—the problem of explaining why “lottery beliefs” based merely on statistical evidence do not constitute knowledge. Contra this claim, I argue that epistemic judgments about lottery beliefs do not consistently track what occurs in a specified set of nonactual possibilities. Thus, modal knowledge accounts cannot properly explain beliefs based merely on statistical evidence. Finally, I argue that these beliefs can be better accommodated by a rival theory of modal accounts—namely, explanationism.
Haicheng Zhao (Mon,) studied this question.