Earlier quoted context omitted.
Like, how many decibels of evidence does this observation provide for this hypothesis? That seems potentially pretty workable, as long as you can ensure conditional independence.
Yes. For like a simple naive Bayes, you can say we start at 0, a user vote is worth +3, a merchant vote is +5, we decay by 0.1 every month, publish if we hit +13 (95%), un-publish at +10 (90%), etc. etc. It's the same math as logits, but the scale's a bit nicer.
Thanks! I didn't realize you'd been doing that kind of thing lately.