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? So what is this saying? So for example, this is saying that 18 out of the 1,000 reshufflings, which she just randomly reshuffled the data, 18 out of those 1,000 times, she found a scenario where her treatment group median was 10 minutes longer than her control group, where bus A's median was, this hypothetical re-randomization, where the treatment group is 10 minutes slower than the control group. There were 159 times where the treatment group, once again, in her random reshuffling, these aren't based on observations, these are random reshufflings, there's 159 times where her treatment group is four minutes slower than her control group.