I recently tweeted about people who think I believe humans are asparagus.
This bad faith take stems (ha ha) from an analogy I’ve used to illustrate that the phenomenon of male/female is not limited to the constructions of the human brain.
Like many plants, and like humans, (some) asparagus strains are dioecious - they exist as individuals male and individual female plants. In animals, we call this set up ‘gonochorism’.
Asparagus can reproduce via the fusion of one small and one large gamete (sometimes, they reproduce asexually).
Biological convention denotes the plant morph producing the large gamete, found in the ovules, as ‘female’.
Approximately 50% of humans share this reproductive role - contribution of large gametes - with female asparagus plants.
I am among their number. Male humans are not among their number.
It has always been highly amusing to see people interpret this comparison of sexual reproduction in asparagus and humans as me saying that humans are asparagus.
Sorry, the interpretations usually look like ‘HuManS ArE AspaRaGus 🤪’
It appears many are unable or unwilling to grasp that the natural world isn’t composed only of humans and naval-gazing constructions, but is a beautiful, diverse, network of organisms, many of whom, despite outward appearances, share astonishing similarities.
Because evolution.
The way our species reproduces is an widespread Standard Operating Procedure widespread, including in asparagus plants.
As the kids say, ‘cope’.
While humans are not asparagus plants (file under: sentences I never thought I’d have to type), we make babies by the same SOP.
We do a lot of stuff using the same SOP, to be honest, from the processes underpinning the growth of a new baby to the completion of the life cycle in making a new one.
For example, we have cells, with nuclei, that contain DNA packaged into chromosomes.
From those DNA instructions emerge shared processes of replication, division, metabolism, growth, and so on.
And from that DNA comes the instructions to be a male or female plant.
Sex in asparagus is determined by genetics. They use an XY determination system, the same as humans. Female asparagus plants have two X chromosomes, males are typically XY.
Asparagus has a third sex karyotype (it has to be elicited carefully by green-fingered types). The YY karyotype gives rise to ‘super males’. They aren’t easy to discriminate from old hat XY males, but an awful lot of time and money is invested in doing so.
Because we eat male asparagus plants. Their spears are bigger. And if you can boost the number of male plants in your field, you boost your bottom line. Crossing XX females with YY males guarantees all offspring are edible and sellable XY males.
Neat.
YY asparagus plants are not a third sex, just as XYY humans (historically also called ‘super males’) are not a third sex. Both YY asparagus and XYY humans produce small gametes (pollen and sperm, respectively).
They are male individuals and karyotypes are not sex.
The human X chromosome was named for its unique properties. A quick squizz under a microscope reveals nothing visually striking about it.
Despite what some might think, it is not X shaped, except in replication. But all chromosomes are X shaped in replication, including the Y.
Asparagus Xs look a little like human Xs. Sex is an ancient phenomenon, and because - obviously - humans and asparagus plants diverged quite a while ago, there has been a lot of time for accumulation of differences.
But still, the echoes of evolutionary bonds remain.
Understanding how humans fit in the natural world is not faulty thinking, for (failed attempts at) mockery.
Knowing how and why we are similar to asparagus (not just reproductive SOPs) is mind-blowing. And understanding our differences - asparagus don’t do Twitter - equally so.
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Systematic differences between the two sexes of a gonochoristic species of a physical characteristic (or set thereof), not including reproductive anatomy.
Some sexually dimorphic characteristics are non-overlapping (e.g. deer antlers) while some are very overlapping (e.g. human height).
The extent of overlapping observation/measurement is irrelevant. The only requirement is a robustly-detectable difference between sexes.
Many female humans are taller than many male humans, yet the population descriptions of height in humans consistently reveal that males as a sex class are taller than their demographically-matched female peers.
Height in humans is a sexually dimorphic characteristic.
@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….
First, there is the stuff about how to classify CAIS and there is discussion within this thread about the dev bio, endocrinonlogy etc.
@WackyPidgeon@JamesVSD1@zaelefty@JuliaMasonMD1@madadhruadh@hoovlet I have never hidden my developmental biology understanding of sex, which is centred not on chromosomes (or any other determination mechanism) but on gamete type, which is in animals a product of gonad type.
@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.