But even more interesting, it's more squeezed in, it has a lower standard deviation. The standard deviation here is 2.1, and the standard deviation here is 2.64. So that's another, I mean, you know, and I kind of touched on that in the last video, and it kind of makes sense. For every sample you do for your average, the more you put in that sample, the less standard deviation. Think of the extreme case. If instead of taking 16 samples from our distribution every time, or instead of taking 25, if I were to take a million samples from this distribution every time, if I were to take a million samples from this distribution every time, that sample mean is always gonna be pretty darn close to my mean. 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.