You might say, well, look, she got her result that she wanted to get. She sees this data seems to confirm that bus A gets her to work faster. What's all this other business with re-randomizations she's doing? 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?