Because gender disparities are changing every year (very quickly in historical terms), and because they are different from country to country, that rules out the possibility that the cause has anything to do with intrinsic differences between men and women, it disproves the idea that there’s a “natural disposition” that is purely based on sex, at least as the primary reason for the distribution today. There might be some natural disposition, but you can’t know what it is until the known, demonstrated cultural biases have been eliminated, and the ratios of men and women settle and stop changing, and women agree that things are fair. Moreover, there is a long history of people claiming “natural dispositions” based on sex that have been subsequently proven false, which means you have the burden to demonstrate why your idea of a natural disposition is somehow different from the previous claims. To date there is no evidence to back up the idea that men & women have any differences in their interest & ability to write software based on sex. There are differences in attitudes, and differences in how many people study and seek such jobs, but those differences are linked primarily to changing social norms, i.e. cultural bias, and have never been shown to be sex based.
> It could be that men and women have natural different disposition to work in certain fields
It could also be, and happens to be more likely, that cultural biases cause sex or gender preferences. If that’s case, then the problem is that insisting there could be sex based differences, when in reality sex based differences may be too small to even measure, may be a self-reinforcing cultural bias. Instead of assuming that bias doesn’t exist and demanding someone prove that it does first, we need to be assuming it exists and actively asking the question how can we get rid of it and then prove that we got rid of it. After all, we know for a fact it used to exist in the US, we know for a fact that it exists today in certain countries, and we can’t show that it ever got completely solved, because it never did yet.
> I also don’t understand why we should strive for balance? What is wrong with each group, whether grouped by sex or race or age or whatever else being specialised in different fields on average?
You might be making assumptions here about what the goal is. The goal is to eliminate prejudices that are actively harmful. The World Health Organization, for example, talks about why it’s important to eliminate these prejudices. https://www.who.int/health-topics/gender
There is a broad trend that as women are more empowered, they are less likely to go into STEM: https://www.theatlantic.com/science/archive/2018/02/the-more...
I’m rather skeptical that it’s truly “broad” in historical terms, it’s still changing much too fast. I’m skeptical that trend for 1 or 2 decades is likely to continue and not change direction again, since it’s already changed direction in the last century. Women going into STEM went way up from the 40s to the 80s. In computer science it’s gone down since the 80s in the US, while in India it’s continued going up, and even exceeded 50% one or two years. The numbers in the US vary wildly from field to field, it’s different in CS than it is in biology or math. All of this is further undeniable proof that today’s causes are primarily social and not sex based.
The deeper problem with this article is that it flirts with some vague concept of different interests between men and women without addressing the well known fact that social norms influence interests. You simply cannot separate attitudes from cultural biases, it’s not possible, and it’s either ignorant or willfully misleading to suggest otherwise.