Abstract Ravit Dotan argues that a No Free Lunch theorem (NFL) from machine learning shows epistemic values are insufficient for deciding the truth of scientific hypotheses. She NFL best case accuracy hypotheses is no more than chance. Since underpins every value, non-epistemic needed to assess However, cannot be coherently applied problem theory choice. The Dotan’s argument relies upon member ...