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.
Body shape/size differences are perhaps the most common examples of sexual dimorphism across many species. Male humans as a sex class are taller, with wider shoulders and narrower hips, more muscle mass, and so on.
In some species, females are the big ones 💪
Sexual dimorphism is canonically understood as a result of sexual selection, that is, competition between and within sexes for mates. Some, however, may be a result of simple natural selection acting upon different behaviours between the sexes (e.g. how males and females feed).
Over the last few years, we have seen a concerted effort to deny the material reality of male and female sex classes.
But I admit that I am absolutely banjaxed by the shift from ‘sex is a spectrum’ to ‘humans are not sexually dimorphic’.
‘Sex is a spectrum’ is occasionally used in good faith to further a compassionate understanding of atypical bodies.
More often, it is no more than mindlessly-repeated, ideological trash.
‘Humans are not sexually dimorphic’ is flat-out, indefensible, scientific nonsense.
No longer do we need to infer from ‘sex is a spectrum’ that people are evolution-deniers.
Now they are saying it out loud.
A footnote: Actually, it’s worse than I thought.
Even those who assert ‘sex is a spectrum’ evoke bimodal distributions of various characteristics, relying on the sometimes overlapping ‘middle ground’ measurements to make their claim.
But they describe modes/clusters/whatever. They at least recognise average differences in characteristics.
So I’m not clear that ‘humans are not sexually dimorphic’ is a progression from ‘sex is a spectrum’, unless one has no idea what sexual dimorphism is.
In which case, I’d advise people to consult a textbook or similar.
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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’.
@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….
@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.