Now you've answered it. Now go back into the mall because I want each trial to be truly independent. But we all know it feels intuitive that, hey, if there are 10,000 people in the mall and I'm going to sample 10 of them, does it really matter that it's truly independent? Doesn't it matter that we're just kind of close to being independent? And because of that idea and because we do wanna make inferences based on things being close to a binomial distribution or a normal distribution, we have something called the 10% rule. And the 10% rule says that if our sample, if our sample is less than or equal to 10% of the population, then it is okay to assume approximate independence, approximate independence. And there are some fairly sophisticated ways of coming up with this 10% threshold.