Are you flat out saying that some races and sexes are not intelligent enough to be in the tech industry?
Are you flat out saying that some sexes are not intelligent enough to be in the tech industry?
The argument is going to boil down to the “pipeline” problem, ‘there’s not enough to begin with for it to be represented in proportion’, which leads to the moral hazard dilemma of do we just started filling quotas.
Edited
As long as tech workers think that some races have 'cultural' problems and as long as some tech workings think that there are differences between men's and women's brains that make women less suited for tech work, I think we have to stop dismissing this as a pipeline problem.
The prejudice is real and all over this thread posters are happily justifying it.
If so, that only supports allegations of racism and sexism in the tech industry.
Not even slightly.
> do you believe that the lack of minorities and women in tech is justified
There isn't a lack of "minorities" - there are more than population baseline of East Asians, Jews, Indians, etc. There are a lower-than-population-baseline number of South Americans (which I am, by the way), black people, etc.
"Justified" is a moral judgement, not a factual or predictive one. You can believe whatever you want is or isn't justified independently of reality. However, the current distribution of ethnic groups and sexes in tech (and most other industries) is expected and predictable based on the distribution of correlated factors within those industries, without having to appeal to racism or unfair discrimination.
This is also the expected result if you're familiar with GMV as mediated by sex chromosome pseudodominance in most mammals, including humans.
A glance at Wikipedia shows that this statement is contested. Pretty much every statement about men, women, intelligence, and IQ is contested.
> This is also the expected result if you're familiar with GMV
OK, I'll bite.
https://bsd.biomedcentral.com/articles/10.1186/s13293-019-02...
"few sex differences (if any) remain statistically significant"
It amuses me that any article about racism and sexism in the tech inevitably devolves to "It's not racism and sexism if we just think that other races and sexes don't perform well in the tech industry."
Well obviously, but most of the contests against hard IQ data don’t have much merit.
> <link to paper about gray matter volume>
GMV isn’t “gray matter volume”, it’s “greater male variability” - hence the mention of sex chromosome pseudodominance.
> in the tech industry.
It’s not just the tech industry - every industry will have some selective pressures.
centimeter's posts in that thread directly reject your proffered line of thought:
> your training data does not have enough people with dark skin or African American face features
This isn’t the issue - the issue is lower variance across black faces in any basis.If some populations are less intelligent, then it is OK to not hire them in the tech industry.
In your opinion, how do you tell the less intelligent populations from the more intelligent populations?