Knowledge-First Inferential Evidence: A Response to Dunn.

This article addresses a critique by Jeffrey Dunn claiming that the author's account of evidence, which equates total evidence with total knowledge and allows evidence gained via inductive inference, is internally inconsistent and incompatible with Bayesian epistemology. The author responds by distinguishing the stages of acquiring evidence through inductive inference, emphasizing that evidence expansion occurs over time—from initially learning evidence E, to later inferring and knowing conclusion A—thus resolving the apparent contradiction in probability assignments. The discussion highlights the role of recognitional capacities and favorable external conditions in enabling knowledge acquisition that may not align with strict Bayesian conditionalization, arguing that such processes remain epistemically legitimate. Ultimately, the author maintains that their account consistently characterizes inductive evidence and knowledge, while acknowledging that Dunn's critique raises important questions about the detailed structure of evidential updating.