To simplify things, even though VN is a prerequisite in my view we can even drop it (due to it holding little weight), so we’re approximately evaluating:
P ( F=1 | R = 1, CFP = 1) = P ( D=1 | R = 1, CFP = 1) = x
Edit:
And implicit in this rebalancing (maybe) — adding this edit to clarify — is that I don’t agree with this:
Now let us examine P(CFP_r | C_r). Looking over the site, almost all comments are in some way reactionary to the thing they are commenting on, and all but a tiny minority are >= 30 characters. So P(CFP_r | C_r) > 0.8 is likely in the background and not just under condition F_r.
I absolutely did not feel that CFP was just background noise. I gave significant weight to the fact that the first line (R) explicitly requested comments of the form of CFP.
To simplify things, even though VN is a prerequisite in my view we can even drop it (due to it holding little weight), so we’re approximately evaluating:
P ( F=1 | R = 1, CFP = 1) = P ( D=1 | R = 1, CFP = 1) = x
Edit:
And implicit in this rebalancing (maybe) — adding this edit to clarify — is that I don’t agree with this:
I absolutely did not feel that CFP was just background noise. I gave significant weight to the fact that the first line (R) explicitly requested comments of the form of CFP.