  A question of some interest is how to characterize the amount of information
that a prior puts into a statistical analysis. Rather than a general
characterization, we provide an approach to characterizing the amount of
information a prior puts into an analysis, when compared to another base prior.
The base prior is considered to be the prior that best reflects the current
available information. Our purpose then is to characterize priors that can be
used as conservative inputs to an analysis relative to the base prior. The
characterization that we provide is in terms of a priori measures of prior-data
conflict.
