I wouldn't assume someone's interest level based on their demographics. I would, you know, talk to them.
The Google firing was a really bad move if outreach programs are a good idea.
People who don't feel like sharing probably won't feel like getting talked at, so there won't be much listening in the other direction either.
Regardless, I'm not sure how that's related to my comment - the memo was discussing relative interests in software engineering (and other disciplines), not capabilities of people being able to do code better than others.
Next time your engineers are scheduled to interview someone and they see a female name on the resume, they'll form an opinion (even if slight, and even if overridable by interacting with the person) about who the candidate is. Depending on how tired/stressed/bored they are that day, that opinion will play a smaller or bigger role in what they write down in the candidate report.
That bias, by the way, exists today. Trying to justify it on the base of biological differences does nothing to fix it.
A ("women in general are less interested") does not imply B ("woman job candidates are less interested"). A would only imply B if there were equal numbers of man and woman engineers. But there are fewer. It's entirely possible for "women are less interested in engineering than men" and "women that go into engineering are far more interested than men that go into engineering" to both be true.
So that hiring bias is based on non-logic in the first place. Considering the possibility of A does not legitimize B.
You presupposed that the bias is why the disparity exists in the first place. Its plausible that we completely fix all biases in the industry and the gender ratio does not change whatsoever, or even gets worse.
What in my comment tells you that? I made a conscious effort not to bring that up.
> Its plausible that we completely fix all biases in the industry and the gender ratio does not change whatsoever, or even gets worse.
This argument sounds like the global warming denier argument "What if it's not true? What if we make the world a better place to live for nothing?"
It is plausible, but right now we have no way to measure it. We do, on the other hand, know that unconscious bias is affecting prospective female candidates. Why don't we focus on fixing the existing problem first?
> Why don't we focus on fixing the existing problem first?
Sounds good.
You should know that unconscious bias training has been shown to make no difference to outcomes. The science is dubious. Of course, you can always try to fix the theory by claiming the impact is minimal but ... if the impact is so tiny, why worry about it?
Diversity initiatives have long since left the realm of debatable science and fact and turned into a new religion. Science is replaced by faith. I don't think I'm biased, I can't perceive any bias in myself, but I KNOW it's true. I must believe.
Would you intuitively think that someone who loves their job are going to be more interested in bigger challenges and doing great work, or someone who doesn't care for the job?