A decision model in which information from a statistical observation is combined with a prior personal probability distribution via Bayes Theorem is sketched. A complication is introduced consisting of difficulties in exchange of information between the decision-maker and the statistician who analyzes the observation. Possible parcels of information which might be transmitted from statistician to decision-maker or client are listed. Some parcels of information are tentatively discussed and earlier discussions of others are cited.