  A concrete, stylized example illustrates that inferences may be degraded,
rather than improved, by incorporating supplementary data via a joint
likelihood. In the example, the likelihood is assumed to be correctly
specified, as is the prior over the parameter of interest; all that is
necessary for the joint modeling approach to suffer is misspecification of the
prior over a nuisance parameter.
