If I take a million samples of everything, if I try to essentially try to estimate a mean by taking a million samples, I'm gonna get a pretty good estimate of that mean. The probability that a bunch of the, a million numbers are all out here is very low. So if n is a million, of course, all of my sample means when I average them are all gonna be really tightly focused around the mean itself. And it actually, and so hopefully that kind of makes sense to you as well. If it doesn't, just think about it, or even use this tool and experiment with it, just so you can trust that that is really the case. And it actually turns out that there's a very clean formula that relates the standard deviation of the original probability distribution function to the standard deviation of the sampling distribution of the sample mean. And as you can imagine, it is a function of your sample size of how many samples you take out in every basket before you average them.