This is a position paper concerning the role of empirical studies of h
uman default reasoning in the formalization of AI theories of default
reasoning. We note that AI motivates its theoretical enterprise by ref
erence to human skill at default reasoning, but that the actual resear
ch does not make any use of this sort of information and instead relie
s on intuitions of individual investigators. We discuss two reasons th
eorists might not consider human performance relevant to formalizing d
efault reasoning: (a) that intuitions are sufficient to describe a mod
el, and (b) that human performance in this arena is irrelevant to a co
mpetence model of the phenomenon. We provide arguments against both th
ese reasons. We then bring forward three further considerations agains
t the use of intuitions in this arena: (a) it leads to an unawareness
of predicate ambiguity, (b) it presumes an understanding of ordinary l
anguage statements of typicality, and (c) it is similar to discredited
views in other fields. We advocate empirical investigation of the ran
ge of human phenomena that intuitively embody default reasoning. Gathe
ring such information would provide data with which to generate formal
default theories and against which to test the claims of proposed the
ories. Our position is that such data are the very phenomena that defa
ult theories are supposed to explain.