But how did it get there? I guess even more importantly, by the end of this video you should at least feel comfortable that this is a good approximation for the binomial distribution if you take enough trials. And that's what's fascinating about the normal distribution is that if you have the sum, and I'll do a whole other video on the central limit theorem, but if you have the sum of many, many independent trials approaching infinity, that the distribution of those, even though the distribution of each of those trials might have been non-normal, but the distribution of the sum of all of those trials approaches the normal distribution. And I'll talk more about that later. But that's why it's such a good distribution to kind of assume for a lot of underlying phenomenon if you're kind of modeling weather patterns or drug interactions. And we'll talk about where it might work well and where it might not work so well. Like sometimes people might assume things like a normal distribution in finance and we see in the financial crisis that's led to a lot of things blowing up.