Maybe A on one day, maybe it gets this 18, maybe it gets the 25, maybe it gets a 30. Once again, so we've got the 18, the 25, and the 30, and maybe B gets the, and she's reshuffling all this other data points that I just have with dots, and maybe B, let's see, she got the 18, 25, and 30, maybe 12, 20, and 28. In this circumstance, this random reshuffling, and she keeps doing it over and over again, in this random reshuffling, the treatment group median minus the control group median is going to be what? It's going to be equal to positive five. In this random shuffling, this hypothetical scenario, bus A's median would have been five minutes more, longer than bus B's. If she gets this result with this random resorting, this would have been, and this is actually a, she would have had a column here for five, and then she would have notched, put one notch right over here, but it looks like she classified things, or maybe she didn't even get the data, but she classified them by multiples of two. But then if she got this again, then she would have put a two here, and then she should have said, okay, in how many of these random reshufflings am I getting a scenario where there's a five-minute difference, or where the treatment group is five minutes longer?