Same difference. There's no evidence the data is biased either. The moment we start playing politics with our datasets we've screwed ourselves over.
All data is inherently biased. We don't have the luxury of working with data points in infinite dimensional space. Choices of different variables can lead to dramatically different models even with regards to the variables they have in common. And that's when we have objective qualitative data.
It feels like you are trying to argue that Uber shouldn't pay women more per job to balance out this effect, but I don't think anyone in this topic is saying they should. But it would be improper to try to use this data set to say "Men are just better at earning money than women".
You're not. Buffalo is, in a roundabout way.
No, I am not nor did I hint at it. All I said is that IF its true society needs to acnowledge that women are taking on more responsibilities than men at home. Then its up to people if they want to divy up tasks at home or keep things the same
And if it isn't true, which the data currently supports as a conclusion, then its up to people to stop trying to make it an issue. ---
"History Is Much Like An Endless Waltz. The Three Beats Of War, Peace And Revolution Continue On Forever." - Gundam Wing: Endless Waltz