@xandvt@MumpGorithm@refined_devon@BBCMorningLive@BBCiPlayer I am honestly appalled by your behaviour here. You are a medic and a public communicator, and you seem unable to use basic and commonly-understood words when discussing concepts like population health screens.
@xandvt@MumpGorithm@refined_devon@BBCMorningLive@BBCiPlayer The WHO make it clear that an ethical population screen uses clear language that will maximise capture of the target demographic. Who are the target demographic for prostate screens?
@xandvt@MumpGorithm@refined_devon@BBCMorningLive@BBCiPlayer To define the population demographic for prostate screening as ‘those with prostates’ lacks any explanatory value. It’s a linguistic dead end. Replace ‘prostate’ with a less well-known structure, and then consider how effective a screening campaign will be….
@xandvt@MumpGorithm@refined_devon@BBCMorningLive@BBCiPlayer You are privileged to know what a prostate is, as am I. I know that I am incredibly unlikely to need prostate screening, while my husband will. We know that because we’ve been educated about such things.
@xandvt@MumpGorithm@refined_devon@BBCMorningLive@BBCiPlayer You know this, yet you are too worried to say it. And in refusing to say it, even laughably pretending you don’t understand the questions being asked of you, you are failing to do your job.
@tomhfh Tom. Promise me you will never teach statistics.
The graph you have posted clearly shows two overlapping normal distributions.
Each normal distribution is associated with either the female sex or the male sex.
@tomhfh As you correctly point out, short males are not female.
Yet a very short male may appear in the little area of overlap highlighted, because they are at the far left of the male normal distribution, not because they are magically ‘intersex’ or ‘a bit female’.
@tomhfh The X axis in the graph is not ‘sex units’. The graph is not mapping sex. It is a mapping schematically a characteristic associated with sex, like testosterone levels (in some concentration unit).
Sex is why you have a bimodal distribution of testosterone levels.
Grevenberg has proposed that advantage carried by transwomen into female categories of sport might be corrected by means of ‘staggered starts’. Taking a broad view, we’ll assume this means some kind of handicap applied to transwomen.
Usain Bolt’s 100m WR average speed was 10.44 metres per second. FloJo’s was 9.53 metres per second.
We could, on these stats, create a dead heat between the two by starting Bolt 109.52m from the finish (FloJo at 100m) or starting him 0.91 seconds later than FloJo.
We *have* been using toilets and so forth with transwomen for decades. Maybe some we clock, and no idea how many we don't (because we don't).
It was a social contract - a compromise - for a *specific demographic* who were either completely undetectable as male, or for whom we rarely encountered but for whom we, presumably understanding male violence, shared refuge.
This is a 200 yard freestyle analysis of Lia Thomas, a transgender woman and US college swimmer. Lia began transition last (Covid-cancelled) season, having competed in male competition for the three previous years.
Pre-transition, Lia's PB was 0.21s off the NCAA female record for the 200 yard free, set in 2015 by 5 time Olympic gold medalist Missy Franklin.
Lia's most recent time is -4.2% slower than the pre-transition PB.
Lia's winning margin in the race was +5.6%. The times for the remainder of the field clustered within 5.5% of eachother.
That is, Lia was (very) slightly further ahead of Bridget O'Leary in P2 than O'Leary was to the slowest finisher.