And every time compound x interacts with compound y, what might result doesn't have to be normally distributed. But what happens is if you take a sum of a ton of those interactions, then all of a sudden the end result will be normally distributed. And this is why this is such an important distribution. It shows up in nature all of the time. And if people are trying to kind of, if you do take data points from something that is very, very complex, and that it is the sum of arguably many, many, almost infinite individual independent trials, it's a pretty good assumption to assume the normal distribution. We'll do other videos where we talk about when it is a good assumption and when it isn't a good assumption. But anyway, just to digest this a little bit, and let me actually rewrite it.