This article presents a new theory of subjective probability according
to which different descriptions of the same event can give rise to di
fferent judgments. The experimental evidence confirms the major predic
tions of the theory. First, judged probability increases by unpacking
the focal hypothesis and decreases by unpacking the alternative hypoth
esis. Second, judged probabilities are complementary in the binary cas
e and subadditive in the general case, contrary to both classical and
revisionist models of belief. Third, subadditivity is more pronounced
for probability judgments than for frequency judgments and is enhanced
by compatible evidence. The theory provides a unified treatment of a
wide range of empirical findings. It is extended to ordinal judgments
and to the assessment of upper and lower probabilities.