A general model for the relation between fallible measurements and "true" measurements is outlined. This model is appropriate in many scientific areas. It leads to the empirical Bayes problem of estimating the frequency distribution of true measurements for a population of measured objects. A special case important in mental test theory is considered. Practical results obtained by one estimation procedure are briefly outlined.
