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”For example, if we know that Patrick is incredibly afraid of flying, then we might draw the conclusion that Patrick was overcome by fear on the day he was supp
by eternalban 3y ago
”For example, if we know that Patrick is incredibly afraid of flying, then we might draw the conclusion that Patrick was overcome by fear on the day he was supposed to fly to the conference, rather than got sick.”
By the definitions in OP, shouldn’t we say abduction is a sort of Bayesian induction?
https://en.wikipedia.org/wiki/Bayesian_inference https://en.wikipedia.org/wiki/Bayesian_inference
- kqr 3y agoOnly to the extent that conditional probability is causality -- i.e. not generally, but they often lead to the same conclusion. Often enough that people have to be warned that correlation is not causation!
- eternalban 3y agoThanks. So evident causation, since there remains the possibility of obscure(d) causal sequence.