In February 2020, Dr Colin Wright @swipewright (evolutionary biologist) and I (developmental biologist) wrote an op-ed for the Wall Street Journal, called The Dangerous Denial Of Sex.
@RichardDawkins@SwipeWright In it, we discuss the biological basis of sex, and how attempts to deconstruct the material reality of sex (social construct! spectrum!) present potential harms for women's rights, for gay rights and for dysphoric children.
For this op-ed, we were vilified.
@RichardDawkins@SwipeWright Since then, following the treatment of writer Suzanne Moore @suzanne_moore after she raised questions about sex and gender, we, with Dr Pam Thompson @egipam and Prof Dave Curtis @davecurtis314 argued for a rethink of discourse on sex, particularly in scientific publications.
Let’s imagine a battlefield RPG. Each player is randomly allocated a character. Each character is described by a set of metrics - SIZE, SPEED, STRENGTH, STAMINA, SKILL – from 0-10 points.
At BASELINE, all characters have broadly similar metrics, around 5 points for each.
One character may score a point higher on SIZE and a point lower on SKILL. Another scores a point higher on STAMINA but sacrifices a STRENGTH point. And so forth.
How does this look on the battlefield?
There’s not much overall difference between players right now. It’s pretty much luck who wins any given fight, and we'd expect a broad share of victories across players over multiple battles.
1. Males are, as a class, better athletes than females. 2. Males have, as a class, higher testosterone (T) levels than females. 3. T has well-researched effects on sports relevant physiology. 4. The effects of T on sports relevant physiology happens during male puberty.
So what on earth can he possibly mean when he says that performance is not proportional to natural T level? More, that is it *obviously* not and anyway who thinks otherwise must be stupid or something.
I’ve read it about ten times and it’s just a hot mess of platitudes (not always bad), overlapping concepts, absent definitions and inconsistent ‘rules’.
Devil’s advocate: I could have written a better framework document for them.
First, Cathy reported the numbers and % split of UK males and females playing selected sports. Male participation is higher than female participation.
Then, Cathy used population estimates to predict the numbers of male and female athletes who would be eligible, under a selfID model, for the opposite sex category. Cathy calculated these trans athletes as % of opposite sex category.
“From time to time, politicians and other rulers-of-men like to categorize the natural world not according to biology, but rather for convenience or monetary gain.”
“So in the 17th century, the Bishop of Quebec approached his superiors in the Church and asked whether his flock would be permitted to eat beaver meat on Fridays during Lent, despite the fact that meat-eating was forbidden.”
“The Church, by the way, also classified another semi-aquatic rodent, the capybara, as a fish for dietary purposes. The critter, the largest rodent in the world, is commonly eaten during Lent in Venezuela.”
Microchimerism is common during/after pregnancy. It is the phenomenon that permits us to diagnose fetal sex and chromosome disorders from a maternal blood sample.
@MargaretAtwood If a female has carried a male child, those fetal cells she carries often incorporates will be XY.
Fetal microchimerism has outcomes for maternal health. Most wondrous is the role of fetal cells in tissue repair when pregnant Mum suffers tissue damage.
@MargaretAtwood Tracking fluorescent rat fetal cells when pregnant rat Mum has a cardiac arrest shows those fetal cells trafficking to the damaged tissue to contribute to repair.