> But you can't run the same election 10 times. That makes assessment difficult, but is irrelevant for interpretation. If something happens 60% of the time, i

> But you can't run the same election 10 times. That makes assessment difficult, but is irrelevant for interpretation. If something happens 60% of the time, it happens with the same probability as drawing a red ball from an urn with 6 red balls and 4 green balls, whether it happens once or several times. Trying to determine the quality of a model using some observed data is inherently a frequentist exercise -- a dyed-in-the-wool Bayesian would take the election results, use them to update his or her posterior distributions, and carry on happily. (I know that no one would actually do this; no one who analyzes data is really a "pure" Bayesian or a "pure" frequentist).