Well, the important thing to realize is, and she realizes this, is that she might have just gotten this data that I underlined by random chance. There's some chance maybe A and B are completely similar in terms of how long they take in reality, and she just happened to pick bus A on days where bus A got to work faster. Maybe bus B is faster, but she just happened to take bus A on the days that it was faster, the days that just happened to have less traffic. What she's doing here is she re-randomized the data, and she wants to see, well, with all this re-randomized data, out of these 1,000 re-randomizations, what fraction of them do I get a result like this? Do I get a result where A is eight minutes or more faster, I guess, or you could say that the median travel duration for bus A is eight minutes less or even less than that, than the median travel for bus B. If it was nine minutes less, or 10 minutes less, or 15 minutes less, those are all the interesting ones. Those are the ones that confirm our hypothesis that bus A gets to work faster.