▁re venue . ▁ ▁Tre at ment ▁of ▁severe ▁uncertainty ▁▁ ▁The ▁logic ▁underlying ▁the ▁above ▁illustr ation ▁is ▁that ▁the ▁( unknown ) ▁true ▁re venue ▁is ▁somewhere ▁in ▁the ▁immediate ▁neighborhood ▁of ▁the ▁( known ) ▁estimate ▁of ▁the ▁re venue . ▁For ▁if ▁this ▁is ▁not ▁the ▁case , ▁what ▁is ▁the ▁point ▁of ▁conduct ing ▁the ▁analysis ▁exclus ively ▁in ▁this ▁neighborhood ? ▁▁ ▁Therefore , ▁to ▁rem ind ▁ourselves ▁that ▁info - g ap ' s ▁manifest ▁objective ▁is ▁to ▁seek ▁robust ▁solutions ▁for ▁problems ▁that ▁are ▁subject ▁to ▁severe ▁uncertainty , ▁it ▁is ▁instruct ive ▁to ▁exhib it ▁in ▁the ▁display ▁of ▁the ▁results ▁also ▁those ▁associated ▁with ▁the ▁true ▁value ▁of ▁the ▁re venue . ▁Of ▁course , ▁given ▁the ▁sever ity ▁of ▁the ▁uncertainty ▁we ▁do ▁not ▁know ▁the ▁true ▁value . ▁ ▁What ▁we ▁do ▁know , ▁however , ▁ ▁is ▁that ▁according ▁to ▁our ▁working ▁assumptions ▁the ▁estimate ▁we ▁have ▁is ▁a ▁poor ▁ ▁indic ation ▁of ▁the ▁true ▁value ▁of ▁the ▁re venue ▁and ▁is ▁likely ▁to ▁be ▁substantial ly ▁wrong . ▁ ▁So , ▁method olog ically ▁speaking , ▁we ▁have ▁to ▁display ▁the ▁true ▁value ▁at ▁a ▁distance ▁from ▁its ▁estimate . ▁In ▁fact , ▁it ▁would ▁be ▁even ▁more ▁en light ening ▁to ▁display ▁a ▁number ▁of ▁ ▁possible ▁true ▁values ▁. ▁ ▁In ▁short , ▁method olo cially ▁speaking ▁the ▁picture ▁is ▁this : ▁ ▁Note ▁that ▁in ▁addition ▁to ▁the ▁results ▁generated ▁by ▁the ▁estimate , ▁