You didn’t mention in which context you are suggesting I am changing scope, so I am not sure what am I supposed to discuss.

Talking about how females or minorities or other groups are impacted by something is measured using averages across the whole population.

Yes?

I didn’t negate any general trend using any particular experience. The only particular experience I mentioned is my own, with the sole purpose of responding to:

It’s invisible to you because you haven’t lived through it.

Which suggested that I don’t acknowledge the existence of certain barriers because I did not live through it (assuming a lot about my personal life). This is completely irrelevant to the overall argument I am trying to develop anyway, as I am not arguing that women don’t have barriers in tech, I am fully aware they do (even if at the individual level some might not). I am simply stating that since there are multiple levels of discrimination in tech, and people might be victim of many of those (classism, ageism, sexism, racism, homo-transphobia, etc.), workers - and in particular victims of discrimination (but also the “privileged” ones) - should acknowledge each other situations (in other words, develop a class consciousness) and join the struggle against the overall system that generates discrimination, not create fragmentation between them because of the specific discrimination(s) they suffer. To me, this rhetoric since to push for a kind of “feminism of the regime”, in which the status quo stays effectively the same, but the oppressor substantially are untouched, with a new coat of paint for supporting diversity.

That said, the population who attended this job fair is not a random sample of the “tech worker” population, therefore even in this case it might not make sense to use broad categories (like male and female) alone. For once, if you spend 600-1200$ for a job fair, chances are you are in dire need of a job. This probably means that at least a good chunk of those men are indeed outliers, so judging by broad categories (such as male=privileged in tech) might be especially wrong. This is my personal guess, and also why I would have liked for the article to interview some of them and understand why they were there.