Two opposing attributes of data that cause some change in belief:
Positive Evidence / Lack of evidence
Probability-increasing / Probability-decreasing
Then cross the two to make:
Positive Evidence + Probability-increase = Proof
Lack of Evidence + Probability-increase = Co-proof
Positive Evidence + probability-decrease = Disproof/Counterproof (?)
Lack of Evidence + probability-decrease = Co-disproof? (Probably not)
?
My concept of “proof” (which perhaps I should have tried to define!) is different: evidence which would raise the probability to very near one. Likewise, “refutation”: evidence which would lower the probability to very near zero.
I edited the post to include a more detailed definition.
Two opposing attributes of data that cause some change in belief:
Positive Evidence / Lack of evidence
Probability-increasing / Probability-decreasing
Then cross the two to make:
Positive Evidence + Probability-increase = Proof
Lack of Evidence + Probability-increase = Co-proof
Positive Evidence + probability-decrease = Disproof/Counterproof (?)
Lack of Evidence + probability-decrease = Co-disproof? (Probably not)
?
My concept of “proof” (which perhaps I should have tried to define!) is different: evidence which would raise the probability to very near one. Likewise, “refutation”: evidence which would lower the probability to very near zero.
I edited the post to include a more detailed definition.