[zo1]

I would argue that it's a bit of a self-fulfilling prophecy. It was great and necessary when women really were disadvantaged. But now that they are generally "equal", it's detrimental to them. I.e. It's entirely plausible that society is self-correcting against the unfairly-claimed bias by...being biased. One can "factually" be certain that men are not "favoured", therefore they can treat men exactly as they see it. They take their degrees, their experience, their work at face-value. However, they can not honestly do so with women because they know that there is a claimed bias against them. Therefore all work, degrees, experience, etc, of women is suspect as there is no way to know which items were "embellished" to promote the "equality" of women.

[disgruntledphd2]

I dunno. I work for a pretty liberal company, that definitely tries to avoid -isms and what not. I've also seen the same ideas from men vs women given far more credibility when presented by a male speaker. I find it somewhat disturbing. That allied with a lot of the scientific evidence of bias (look at the IAT studies, all 12mn of them) leads me to believe that this is still a problem.

[mpweiher]

I have also seen the same ideas from some men given far more credibility when presented by other men. In fact, it happens all the time. I have seen men ignored even when presenting solid evidence, because a higher-up had made up their mind. This happens. All. The. Time.

I find the IAT somewhat ridiculous. For example, it asked whether I associate black with "sports". Well, I do, but there is nothing "implicit" or "biased" about it. It is my lived experience as a high-school sprinter.

In addition, stereotype accuracy is one of the largest and most replicable effects in all of social psychology. It's not "wrong". What would be wrong is not adjusting for the individual once you get to know them, but AFAIK that same research also shows that most people drop the stereotypes quickly once they actually get to know an individual.

And yes, there are people who don't. In other news, stupid people exist and earth still round.

[kajecounterhack]

  But now that they are generally "equal", it's detrimental 
  to them. I.e. It's entirely plausible that society is self-
  correcting against the unfairly-claimed bias by...being 
  biased

To say women and men are generally "equal" right now is failing to recognize ways they continue to struggle and the pervasive ways sexism continues to affect women. There's a lot of unconscious bias in society + strong evidence of it. And I'd find it dubious to claim tech is some exception.

I think "overcorrection" is a valid concern (if people begin devaluing women's opinions thinking they're diversity hires or somehow hired at a lower bar), but I for one haven't observed us being there yet. There's still this yawning divide between being a man vs a woman in both society and in the smaller sphere of tech. There are many things we take for granted as men: e.g people don't assume I, a man, work in marketing despite sitting with other engineers -- these sorts of things negatively affect women who are otherwise fully / more than qualified to do their jobs.

Anecdotally, a number of women in my life who worked in tech have since left the industry citing aggressions of varying levels. This is concerning :(

[m4x]

Over correction does already happen (not sure if you meant you haven't yet observed over correction, or the negative fallout of it). See for example Glowforge's approach: https://glowforge.com/blog/at-glowforge-we-pay-for-diversity...

While I absolutely wish that any person felt welcome in tech regardless of race, gender or other choices like orientation, I'm not convinced this is a good approach. It's an explicit statement that they are desperate for diversity, and as a result it calls in to question the justification for those hires. How much did the candidates diversity factor in vs. their competence?

They claim that non-minorities won't be disadvantaged by them and I believe they are being honest here, but it still sends a very mixed message.

[kaitai]

So over the four years since the study quoted was received for consideration for publication, we've totally overcorrected?