You disappoint me, sir. I had such hopes of finding something new and interesting, only to discover that your mere vagueness led me astray.
So even if we arbitrarily exclude a perfectly valid psychological technique because it "doesn't impress you", there's still the matter of my third link. Didja click it?
EDIT: The most surprising part of the PNAS study, to me, is that people who agreed with statements like "Discrimination against women is no longer a problem in the United States" were statistically more affected by implicit gender bias.
On the other hand, I must concede that I previously failed to look closely enough on first inspection at your third link. In my opinion, it does a great deal more to substantiate your statement than the IAT stuff does. I'd like to see similar studies with much higher n, but it's hard to argue with the analysis.
Your response was filled with bitterness, like someone who was flustered at having been proved wrong. It sounded just like a child crossing their arms and yelling, "Well citations are stupid anyway!"
One interesting place to start is Harvard's "Project Implicit". They have a massive publication list[1] and you can even test your own implicit reactions[2].
There are plenty of other scientists testing things like whether people judge women as less competent. A quick google search pulled up a PNAS paper where they did an experiment on women in science, for example.[3]
This is just the tip of the iceberg, of course. There is a whole host of related work, testing other sorts of biases and using other methodologies. I'd suggest a search on your favorite academic search engine for "implicit bias".
[1] https://www.projectimplicit.net/papers.html [2] https://implicit.harvard.edu/implicit/ [3] http://www.pnas.org/content/early/2012/09/14/1211286109#aff-...