But where do you draw the line? And as we alluded to earlier in the video, the line is typically drawn at 10%. That if your sample size is less than or equal to 10% of your population, it's not unreasonable to treat your random variable, even though it's not officially binomial, to say, okay, maybe it is, maybe I can functionally treat it as binomial, and then from there I can make all of the powerful inferences that we tend to do in statistics. With that said, the lower the percentage the sample is of the population, the better. Now to be clear, that's not saying that small sample sizes are better than large sample sizes. In statistics, large sample sizes tend to be a lot better than small sample sizes. But if you wanna make this independence assumption, so to speak, even when it's not exactly true, you want your sample to be a small percentage of the population.