Here, when n is 100, well, our variance, our variance here, when n is equal to 100, so our variance of the sampling mean of the sample distribution, or our variance of the mean, of the sample mean, we could say, is going to be equal to 20. This guy's variance divided by n. So it equals, n is 100, so it equals 1 5th. Now, this guy's standard deviation, or the standard deviation of the sampling distribution of the sample mean, or the standard error of the mean, is gonna be the square root of that. So one over the square root of five. And so, this guy's a little bit under 1 1 2 standard deviation while this guy had a standard deviation of one. So you see, it's definitely thinner. Now, I know what you're saying.