If you mean statistical correlation, then corr(x,y) = corr(y,x). I think you mean something more like implication, e.g., your claim is that at one time in the past, atheist implied intelligent but intelligent did not imply atheist.
If the correlation is sufficiently small, it can be lower than the error rate in detecting it.
And though the two concepts are distinct, in this context they’re the same. Implication and statistical correlation can be the same when what’s implied is a likelihood instead of a certainty.
Implication and statistical correlation can be the same when what’s implied is a likelihood instead of a certainty.
I can’t tell if I disagree with you in a substantive way or just in your word usage (i.e., semantics). Can you please translate this assertion into math?
If you mean statistical correlation, then corr(x,y) = corr(y,x). I think you mean something more like implication, e.g., your claim is that at one time in the past, atheist implied intelligent but intelligent did not imply atheist.
If the correlation is sufficiently small, it can be lower than the error rate in detecting it.
And though the two concepts are distinct, in this context they’re the same. Implication and statistical correlation can be the same when what’s implied is a likelihood instead of a certainty.
I can’t tell if I disagree with you in a substantive way or just in your word usage (i.e., semantics). Can you please translate this assertion into math?