Well, once again, if you just looked at range, and these are both at the same scale, if you just visually look, the variability here, the range for the final round, is larger than the range for the semifinal round, so you would say that the final round has higher variability, variability, it has a higher range. Eyeballing it, it looks like it has a higher spread, and there's, of course, times where one distribution could have a higher range, but then it might have a lower standard deviation. For example, you could have data that's like, you know, two data points that are really far apart, but then all of the other data just sits right, it's really, really closely packed, so for example, a distribution like this, and I'll draw the horizontal axis here, just so you can imagine it as a distribution. A distribution like this might have a higher range, but lower standard deviation than a distribution like this. Let me just, I'm just drawing a very rough example. A distribution like this has a lower range, but actually might have a higher standard deviation, might have a higher standard deviation than the one above it. In fact, I can make that even better.