Hmm I suspect we have a case of statistical bollocks going on here through Averaging.
It's the old - 'the average human has one and a bit legs' which would confuse an alien.
It now says that ethnicity is more important. But this could be an averaging issue rather than anything.
If you have Asian men and white women around the same mark it could skew the data on averaging.
Thus small women and tall men of all ethnicities would get particularly poor results if you removed sex from the data set.
What they should be doing is calculating on sex and ethnicity for greater accuracy. Instead they've said it doesn't matter as much, which is bullshit. It just means the range of different isn't as big and BMI is fairly crude.
Certainly being a below average height woman it makes a difference, on a measure that was already not great for a measure that's known to be poorer for below or above average people.
I don't understand why they'd make a tool known for being crude at both ends of the scale even worse for those same groups.
It's just reducing us to 'the average human' mentality which frankly most people don't understand. I've never understood the whole 'average woman portion' thing. It's completely bloody useless to the majority of people and arguably helps to mislead as many people as it helps.
As someone who is ultimately also worst affected by these averaging issues it's frustrating. We should be moving to greater individualisation not towards the dehumanisation of the average.