It is great to read Ross Tucker’s (Scienceofsport) tweets on this thread. He lays it out very clearly to a ‘tw aw and are actually female and anyone who doesn’t let them play is simply being mean’ tweeter.
twitter.com/scienceofsport/status/1297563395298856961?s=21
For those not on twitter he states:
‘You’re making a category error. Try it this way: Would you let an adult, 27 yr old man, play against juniors because he’s smaller, slower and weaker than many 17 year olds? If a heavyweight boxer is weaker than some middle weights, can he fight down? Range overlaps are irrelevant.’
‘First, it is an argument against categories? Would you be OK with an adult playing against juniors because they’re not that good? Why does junior sport exist in the first place? Does that adult not take someone’s place? Someone who was entitled to protection?’
‘ Similarly, are you alright with a heavyweight fighting down just because they’re weak, and thus “in the range” for a middleweight fighter? Does the middleweight category not exist for good reason, irrespective of some overlap?
Second, the only way you find overlap is if you...’
‘ …deliberately cherry-pick to compare a very strong/heavy/good/fast/powerful woman against a mediocre or light/slow/weaak man. Then you find overlap. It’s a women at the 90th percentile compared to a man at the 40th percentile. They may have the same strength. But what you’re now’
‘ …arguing for is that man who is at the 40th percentile can cross over, & because they lose very little of that strength with T reduction, they’ll slot in at the 85th percentile among women. So they go from being below average to way above average. That is the very definition of’
‘ unfair. Third, this creates huge risk, because even if you control for the variable you pick (let’s say it’s strength as in my example), you can’t control for the others. So the person may end up matched for X, but not for Y & Z. This undermines safety and fairness even more’
‘ Fourth, how do you match? Aside from the cherry-picking exercise I already explained, you have sports where performance is multifactorial. So which variables do you attempt to control for? I already asked earlier, how you would do this? Any suggestions?’
‘ Fifth, when a sport decides they’ll do this for trans women, they put themselves into a real dilemma. Because now, they’re saying “Trans women are women, but some of them are more women than others, because of XYZ”. So now sport is subdividing a cohort into new cohorts, and’
‘ …then making a value judgment, ostensibly based on metrics they measure or test in a lab (again, let me know which ones you think can be matched, and how), and then deciding that one person can play, and one cannot. In effect, sport is now playing judge of who is “woman enough"
There is at least a couple more tweets too.