We're relying on other researchers generally, and they are looking at public companies most often, because that's where you can get the data, and it's on a very geographic-diverse basis. So this applies in China just as much as it does in Europe or as it does in Canada. I'm confident that the results are pretty clear and they're pretty universal.
Some people would argue that what you're measuring is not causation. You're just observing something that's happening. I think that's a cop-out. To say if we have 58 out of 60 studies saying that it's going to improve your company, I think that's pretty good evidence that it's going to improve your company.
It's more difficult in social sciences, as you would know, to prove causation. But I think we can be pretty sure that there's something going on here, particularly when you start to see there's a mathematical relationship in this in terms of adding one more woman and your company improves even more. But you will never be able to get over that argument. And if we allow people to say that this is not proving causation, therefore we should ignore it, I think it's a cop-out.