Some people think the implicit association test is a sneaky way to see hidden biases. The researchers being left-wing, mainly those against non-Whites and women. However, a better method is the list experiment.
This method was applied to an American sample of 830 Whites in 2008-2009. No hidden bias was found however. Somewhat surprisingly maybe.
What Can We Learn with Statistical Truth Serum? Design and Analysis of the List Experiment
You have maybe seen this plot. It shows ratings of races in USA by race. The key result is that each race favors their own, except for Whites who are apparently race-blind.
Since it only covered a single year, 2020, I wondered if this would replicate across years of data. So I downloaded the data for 1964-2024.
So we see that the result replicated (I didn't use survey weights). And indeed, in 2020 and 2024, Whites have about zero ethnocentrism.
But this pattern among Whites is more complex. Here are the ratings by political ideology (self-rated 1-7 scale). The below average attitude towards fellow Whites is concentrated on the left, just as @ZachG932 found before. Especially the far left.
Mental issues roughly follow a hierarchical pattern, like cognitive abilities, like a general factor on top. At least, statistically.
The motivating factors behind this approach compared to the categorical (diagnostic) approach are: 1) evidence of continuity between clusters, 2) binary encoding of continuous data loses information, 3) correlations among diagnoses are the norm, 4) a given person may not quality for any particular diagnosis, yet have severe symptoms.
Some aspects of mental problems haven't been integrated into the hierarchical model yet. Say, unusual sexual interests (from foot fetishes to pedophilia and rape fetishes).
US Naval Academy: "a white applicant with a 5% chance of admission would have a 50% chance if evaluated as Black, and more than 70% of Black admits would not have been admitted under a race-neutral system"
Whites the most systematically discriminated against race.
The usual SAT gaps among applicants.
US military looks like other publicly funded institutions. A jobs program for non-Whites.