The 0.05 p-value threshold is a standard for rejecting the null hypothesis.

“it's kind of this I don't know I think it was this guy Fisher who maybe has established this 0.05 but this has been the threshold that they're they're more or less they're willing to accept at least for the purposes of a single trial that the p-value of 0.05 that they're willing to accept a level of of”

“it really is this arbitrary threshold so I think like imagine if your p-value was uh you're gonna if it's less than you know 0.95 we're gonna we're gonna reject the null hypothesis so you could have a you know in theory if if this thing if not if if if the you know it's not exact but if it's the chance of this being a false positive is about 90 based on your based on your analysis um that still you you would you would reject the null hypothesis if there's no difference between these groups which sounds sort of insane so it's it's kind of this I don't know I think it was this guy Fisher who maybe has established this 0.05 but this has been the threshold that they're they're more or less they're willing to accept at least for the purposes of a single trial that the p-value of 0.05 that they're willing to accept a level of of a false positive in their results and still make that claim that they they rejected that hypothesis”