Now, there's one last point of clarification that I wanna make very, very, very clear. Our p-value, the thing that we're using to decide whether or not we reject the null hypothesis, this is the probability of getting your sample statistics given that the null hypothesis is true. Sometimes people confuse this and they say, hey, is this the probability that the null hypothesis is true given the sample, given the sample statistics that we got? And I would say clearly, no, that is not the case. We are not trying to gauge the probability that the null hypothesis is true or not. What we are trying to do is say, hey, if we assume the null hypothesis were true, what is the probability that we got the result that we did for our sample? And if that probability is low, if it's below some threshold that we set ahead of time, then we decide to reject the null hypothesis and say that we have evidence for the alternative.