So how would we unbiased this? Well, if we really wanna get our best estimate of the true population variance, not n minus one over n times the population variance, we would wanna multiply, let me do this in a color I haven't used yet, we would wanna multiply times n over n minus one. We would wanna multiply n over n minus one to get an unbiased estimate. Here, these cancel out, and you are left just with your population variance. That's what we want to estimate. And over here, you are left with our unbiased estimate, our unbiased estimate of population variance, our unbiased sample variance, which is equal to, and this is what we see, what we saw in the last several videos, what you see in statistics books, and sometimes it's confusing why. Hopefully, Peter's simulation gives you a good idea of why, or at least convinces you that it is the case.