What the law of large numbers tells us is that it doesn't care, let's say after some finite number of trials, your average actually, it's a low probability of this happening, but let's say your average is actually up here. It's actually at 70, right? Like, wow, we really diverged a good bit from the expected value. But what the law of large numbers says, well, I don't care how many trials this is, we have an infinite number of trials left, right? And the expected value for that infinite number of trials, or especially in this type of situation, is going to be this. So when you average a finite number that averages out to some high number, and then an infinite number that's going to converge to this, you're going to, over time, converge back to the expected value. And that was a very informal way of describing it.