And what it tells us is we can start off with any distribution that has a well-defined mean and variance, and if it has a well-defined variance, it has a well-defined standard deviation. And it could be a continuous distribution or a discrete one. I'll draw a discrete one just because it's easier to imagine, at least for the purposes of this video. So let's say I have a discrete probability distribution function, and I want to be very careful not to make it look anything close to a normal distribution, because I want to show you the power of the central limit theorem. So let's say I have a distribution, let's say I can take on values 1 through 6. 1, 2, 3, 4, 5, 6, it's some kind of crazy dice that's very likely to get a 1. Let's say it's impossible, let me make that a straight line.