Sorry, but the session wasn’t videotaped. You can find discussions of sampling error in any stats textbook (my first example came from Gelman et al.’s *Bayesian Data Analysis*). Texts on survey sampling seem to treat the problem most generally. You’ll also find measurement error models in survey sampling books.
Model specification error is the dirty little secret of both Bayesian and frequentist stats. You often see this tested (for instance, generating data with one model and fitting with another), but rarely discussed in any generality.

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