Standard probability distributions often fail to express certain types of beliefs. This technical exploration, prompted by Richard Ngo, examines the limits of formal epistemology. It questions how agents represent uncertainty when single distributions are insufficient. These theoretical refinements help AI safety researchers better model the internal belief systems of complex autonomous agents.