 In reply, Bayesians have developed at least three strategies, which might complement each other. The first strategy is to remove idealization gradually, one step at a time, and explain why this is a good way of doing epistemology—just like this has long been taken as a good way of doing science. The second strategy is to explain why it makes sense for we human beings to strive for some ideals, including the ideals that the two core Bayesian norms point to, even though human beings cannot attain those ideals. The third strategy is to explain how the kind of idealization in question actually empowers and facilitates the applications of Bayesian epistemology in science (including especially scientists’ use of Bayesian statistics). For more on those replies to the problem of idealization, see  section 6.