If it had been originally conceived using more than two possibilities, it wouldn't have made any sense to use the word confirmation.
You sound confused. The "confirmation" stems from
In Bayesian Confirmation Theory, it is said that evidence confirms (or would confirm) hypothesis H (to at least some degree) just in case the prior probability of H conditional on E is greater than the prior unconditional probability of H
(source)
So what if p(H) = 1, p(H|A) = .4, p(H|B) = .3, and p(H|C) = .3? The evidence would suggest all are wrong. But I have also determined that A, B, and C are the only possible explanations for H. Clearly there is something wrong with my measurement, but I have no method of correcting for this problem.
If it's worth saying, but not worth its own post (even in Discussion), then it goes here.
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