This paper is a response to Michael Laviolette and John W. Seaman Jr.'s position paper `'The efficacy of fuzzy representations of uncertainty,'' which criticizes fuzzy representations Of uncertainty, and suggests that Bayesian probability can do better. I argue that the author's make some misleading comments about Bayesian probability, and I briefly discuss the problem of giving a satisfactory interpretation of membership functions.