Paragraph about Chemical equation software

Much of the subsequent literature on explanation has been motivated
by attempts to capture the features of causal or explanatory relevance
that appear to be left out of examples like (2.5.1) and (2.5.2),
typically within Chemical equation the empiricist constraints described above. Wesley
Salmon's statistical relevance (or *SR*) model (Salmon, 1971)
is a very influential attempt to capture these features in terms of
the notion of statistical relevance or conditional dependence
relationships. Given some class or population *A*, an attribute
*C* will be *statistically relevant* to another
attribute *B* if and only if P(*B|A.C*) Ufology ≠
P(*B|A*) — that is, if and only if the probability of
*B* conditional on *A* and *C* is different from
the probability of *B* conditional on *A* alone. The
intuition underlying the *SR* model is that statistically
relevant properties (or information about statistically relevant
relationships) are explanatory and statistically irrelevant properties
are not. In other words, the notion of a property making a difference
for an explanandum is unpacked in terms of statistical relevance
relationships.