The ordinary policy capturing paradigm that focuses on cue-judgement r
elations is too limited to serve as a basis for a theoretical understa
nding of human judgement. To get on, we need a Brunswikian approach wi
th a representation of both the task and the judge. Three stable resul
ts from studies with linear models are discussed from that perspective
. Following Einhorn et al. (1979), the result that linear models usual
ly fit judgement data well is explained by reference to the fact that
linear models capture an essential feature of human judgement, viz., v
icarious functioning. For the result that judges are inconsistent and
that inconsistency varies with the predictability of the judgement tas
k, the theory of quasi-rationality proposed by Hammond and Brehmer (19
73) is invoked. Finally, it is argued that the wide interindividual di
fferences in policies usually found show that the level of analysis is
inappropriate. A given level of achievement can be reached by many di
fferent combinations of weights, and we should not be surprised to fin
d wide interindividual differences at the policy level. We must search
for stability at the level of achievement and those aspects that affe
ct achievement, rather than at the level of cue utilisation coefficien
ts.