And because it's so unlikely to get a statistic like that, assuming that the null hypothesis is true, we decide to reject the null hypothesis. Or another way to view it is, there's a 0.5% chance that we have made a type I error in rejecting the null hypothesis. Because if the null hypothesis is true, there's a 0.5% chance that this could still happen. So in rejecting it, we would make a mistake. There's a 0.5% chance we've made a type I error. I just want to clear that up. Hopefully that clarified it for you.