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Anonymous A (OP) double-posted this 2 years ago, 1 hour later[^][v]#1,228,490
interestingly if considered as two sets of individual trails of binomial prior belief beta distributions and modelling the success of one set as the predicted failure by the standard deviation in the other set one can infer posterior belief to be Bayesian, and knowing the mean and standard deviation calculate prior belief and get updated credibility adjusted rejection of the null hypothesis simply based off of theta rather than p-value of t-scores (I'm fucking seriously dying) which means we can reject the null hypothesis when magnitude of m1 > m2!
do you know what that means? That means with an HDI of 95% significance - THE ONE WHO SMELT IT DEALT IT, you're probably into trans.
I wonder what other conditional probabilities we can find to close the 5% gap.
Anonymous A (OP) triple-posted this 2 years ago, 14 minutes later, 2 hours after the original post[^][v]#1,228,492
and the one who supplied it denied it IS the next logical inference of Bayesian statistics for hypothesis testing which is why that's always so funny. but, it is always on a case by case basis even though it's independent of sample size it does need to be backed up by more than a fart in the wind.
Anonymous A (OP) replied with this 2 years ago, 7 minutes later, 2 hours after the original post[^][v]#1,228,501
@previous (boof)
based on prior belief or mean and standard deviation? and if you want confidence I need to know sample size
which is why I was glad to see Bayas number fall out of set comparison since I don't know the true t-score and was guessing at how many views were unique - but it doesn't matter since we're essentially able to literally model how bad someone wants a null hypothesis to be true
Anonymous A (OP) triple-posted this 2 years ago, 22 minutes later, 4 hours after the original post[^][v]#1,228,531
what part of "the one who denied it supplied it," wasn't the null hypothesis that literally everyone who didn't fart doesn't smell the need to deny? what is the null hypothesis that's even being rejected in the op? you realize, of course, it's your own fault. you're admitting your insecurity. do you deny it?