So when you compare an n of two to an n of 16, you know, let's do it once. So you got one, two trials, you average them, and then it's gonna do it 16. And then it's gonna plot it down here, and average there. Let's do that 10,000 times. So notice, when you took an n of two, even though we did it 10,000 times, this is not approaching a normal distribution. You can actually see it in the skew and kurtosis numbers. It has a rightward positive skew, which means it has a longer tail to the right than to the left.