Well, we're still in the ballpark. We're not gonna, maybe I can't hope to get the exact number, you know, rounded or whatever. But as you can see, hopefully that'll be pretty satisfying to you, that the variance of the sampling distribution of the sample mean, the variance of the sampling distribution sampling mean, is just going to be equal to the variance of your original distribution, no matter how wacky that distribution might be, divided by your sample size. By the number of samples you take for when, for every basket that you average, I guess is the best way to think about it. And you know, sometimes this can get confusing because you are taking samples of averages based on samples. So when someone says sample size, you're like, is sample size the number of times I took averages or the number of things I'm taking averages of each time? And you know, it doesn't hurt to clarify that.