Normal distribution. And it's related to the binomial, you know, a lot of times in statistics, people will assume a normal distribution because they say, okay, it's the product of kind of an almost an infinite number of random processes happening. Here we're taking a coin, we're flipping it five times, but if you imagine kind of molecules interacting or humans interacting, you're saying, oh, there's almost an infinite number of interactions, and then that's going to result in a normal distribution, which is very, very important in science and statistics. Binomial distribution is the discrete version of that. And one little point of notion, you know, these are where the distributions are, this is where they come from, this is how they're related. If you kind of think about, as you get more and more trials, the binomial distribution is going to really approach the normal distribution. But it's really important to think about where these things come from, and we'll talk about it much more in the statistics, because it is reasonable to assume an underlying binomial distribution or a normal distribution for a lot of different types of processes, but sometimes it's not.