We estimated them with our sample, and because of that, we don't know that it's an exact probability. We just have to say we're confident that it's a 95% probability, and that's why it's really just, we just say it's a confidence interval. It's a pure probability. But it's a pretty neat result. We are now, we have this 95% confidence interval, so we're confident that there's a 95% chance that the true difference of these two samples, and remember, the sample means, the means of the sample, the difference between the, let me make it very clear, the difference between the means of the sample is, or let me put it, the sample means, the expected value of the sample means is actually the same thing as the expected value of the populations. And so, what this is giving us is actually a confidence interval for the true difference between the populations. If you were to give everyone, every possible person, diet one, and every possible person, diet two, this is giving us a confidence interval for the true population means.