The Language of Argument

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C H A P T E R 1 0 ■ C a u s a l R e a s o n i n g

Table 5
Case 1: A B C D ~G
Case 2: ~A B C D ~G
Case 3: A ~B C ~D ~G
Because G is present in all of the cases in Table 4, no candidate can be
eliminated by the SCT as a sufficient condition for target feature G. This result
is trivial, however. Table 4 does not provide rigorous testing for a sufficient
condition of G, because our attention is restricted to a range of cases that is too
narrow. Nothing could possibly be eliminated as a sufficient condition of G
as long as G is always present.
Similarly, G is absent in all of the cases in Table 5, so no candidate can be
eliminated by the NCT as a necessary condition of target feature G. Still, be-
cause this data is so limited, its failure to eliminate candidates does not even
begin to show that anything is a necessary condition of G.
For both rules, then, rigorous testing involves seeking out cases in which
failing the test is a live possibility. For the SCT, this requires looking both
at cases in which the candidates are present and also at cases in which the
target is absent. For the NCT, rigorous testing requires looking both at cases
in which the candidates are absent and also at cases in which the target is
present. Without cases like these, passing the tests is rather like a person
bragging that he has never struck out when, in fact, he has never come up
to bat.

Reaching Positive Conclusions


Suppose that we performed rigorous testing on candidate C, and it passed
the SCT with flying colors. Can we now draw the positive conclusion that
C is a sufficient condition for the target G? That depends on which kinds
of candidates and cases have been considered. Since rigorous testing was
passed, these three conditions are met:


  1. We have tested some cases in which the candidate, C, is present.

  2. We have tested some cases in which the target, G, is absent.

  3. We have not found any case in which the candidate, C, is present and
    the target, G, is absent.
    In cases that meet these three conditions, we sometimes face a dilemma.
    More than one candidate might pass this rigorous testing. It is possible that
    both of these candidates is sufficient for the target feature, but there is often
    some reason to worry that only one of them is really causing the effect. In
    order to test this hypothesis, we can add another restriction:

  4. If there is any other candidate, D, that is never present where the
    target, G, is absent, then we have tested cases where C is present and
    D is absent.


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