 So it kept doing that. It kept replicating that same bias. So we weren't actually solving anything. We were just making this discrimination more efficient in some ways. So now this source of bias can go in all sorts of things. It's not always racial. It could be gender. It could be income. It could just be just behaving in a way we just don't want it to behave. So these are sort of the things when we think about algorithmic fairness.