And so you can see here that right now, 93%, for 93% of our samples, did our confidence interval actually contain our population parameter? And we can keep sampling over here. And we can see the more samples that we take, it really is approaching that close to 95% of the time, our confidence interval does indeed contain the true parameter. And so once again, we did all that math in the previous video, but here you can see that confidence intervals, calculated the way that we've calculated them, actually do a pretty good job of what they claim to do. That if we calculate a confidence interval based on a confidence level of 95%, that it is indeed the case that roughly 95% of the time, the true parameter, the population proportion, will be contained in that interval. And I could just draw more and more and more samples. And we can actually see that happening.