Crémieux Profile picture
Nov 25, 2024 25 tweets 7 min read Read on X
Huge new result:

Anti-racism trainings probably lead people to accuse others of racism even when they're not racist.

That's exactly the result of a new study on DEI trainings, with a special focus on the impacts of the works of Ibram X. Kendi and Robin DiAngelo.

Let's dig in🧵 Image
In the first experiment, the researchers took 324 participants and randomized them to either read an Ibram X. Kendi or Robin DiAngelo excerpt or to a racially-neutral condition where they read about corn.

Here are some excerpts from the reading materials, for your understanding:Image
After learning, for example, that western countries are compromised by virtue of their racist ideologies and pasts, participants were presented with a scenario that was totally racially neutral.

The scenario is described as follows, and everyone involved did nothing racist: Image
The participants who were exposed to the 'racism' scenario imagined more racism into existence.

They believed there was a lot more bias, tons of microaggressions and whatnot, even though there was nothing.Image
What's worse, the participants who read the DEI passages also wanted to punish the "offenders" who—I'll remind—literally did nothing racially biased.

They were more likely to want to harm people who did nothing due to their own imaginations.Image
These findings were so shocking and forceful that the authors immediately sought to replicate them.

They gathered a nearly three-times larger sample and found... the same results! Image
But this wasn't the last study. We know that people exposed to DEI racism trainings invent racism out of thin air, but what about other -isms?

Next up is Islamophobia.

The 2,017 participants in this study read either anti-Islamophobia materials or stuff about corn.
After either reading about corn or materials from the Institute for Social Policy and Understanding (ISPU), participants were then asked to evaluate identical trials, for either the clearly-Muslim Ahmed Akhtar or the clearly-just-White George Green.Image
Participants though the trial of Ahmed was considerably more unfair after they "learned" about Islamophobia.

But once again, there was no bias. They just read the DEI materials and invented the bias in their minds. Image
But why? Mechanistically, it does not seem that learning about (and seemingly believing in) Islamophobia increased tolerance for Muslims.

What it did was just to increase the perception of bias. Islamophobia materials did not boost positive sentiment towards Muslims:Image
A final major point of DEI trainings nowadays is caste.

I am referring not to "involuntary caste" stuff a la scholars like Ogbu, but to the Indian caste system.

As the timeline shows, its supposed importance has rapidly gained acknowledgement across the U.S.Image
Despite institutional acceptance that caste matters, and in particular because of bias against members of low castes, most Americans probably still don't understand caste.

So in this experiment, participants were exposed to caste oppression information, or to neutral caste info: Image
Participants were then exposed to a totally caste-neutral scenario in which an Indian admissions officer at an elite East Coast university interviews Raj Kumar and, ultimately, Raj gets rejected. Image
As you might predict from the other results, the nearly 850 respondents who read about casteism invented a lot more caste bias into the scenario than people who read about caste in general. Image
Not only that, but the people exposed to casteism reading material were more likely to see Hindus as racists and to want to punish the admissions officer.Image
What was really alarming was that, after the casteism readings, people were considerably more likely to agree with explicitly anti-Brahmin statements that were really rough, like "Brahmins are parasites", "Brahmins are a virus".

These seem like damaging ideas to promote!Image
Turning back to the original sample, we see something interesting: the people who scored higher on Left-Wing Authoritarianism were more likely to want to punish the people they believed were being racist.

Keep that in mind. Now let's review. Image
All these large-scale studies, with their simple designs, and direct and conceptual replications, with all of their results, support several conclusions.

First, DEI training introduces narratives that lead people to assume certain groups are oppressors and others are victims.
Second, DEI trainings lead to hostile attribution biases, leading participants to see discrimination when there is none.

DEI trainings ironically promote racial prejudice, hostility, suspicion, and division.
Third, DEI trainings lead to demands for punishment again perceived oppressors, as well as the ideologically impure.

This happens despite the perception of being an oppressor always being wrong in these studies.
Fourth, heightened suspicion of "oppressors" and the "impure" triggers people with authoritarian tendencies to endorse surveillance, purity testing, strict social control, and ever-increasing responses that range from corrective to coercive.

Authoritarians want to punish.
And fifth, the heightened punitive atmosphere generated by DEI trainings feeds into demands for more anti-oppression trainings, creating a self-reinforcing cycle of totally needless suspicion and intolerance.
DEI trainings have been noted to be ineffective at promoting tolerance and productivity, and plenty of people have noticed backfiring.

This adds a new dimension that teaches us about feelings and perceptions of oppression more generally.
With these results in mind, we now know that people are more than willing to totally invent racism and other forms of bias in their heads and to want to harm people because of fully-imagined bias on those people's parts.

The era when everyone was colorblind was better.
Future studies replications with fake groups would be neat, but these probably got close enough using unfamiliar groups and with these large trials due to the nature of them being randomized

These are strong results worth keeping in mind

Here's the link: networkcontagion.us/wp-content/upl…

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More from @cremieuxrecueil

Feb 3
Indeed!

This research directly militates against modern blood libel.

If people knew, for example, that Black and White men earned the same amounts on average at the same IQs, they would likely be a lot less convinced by basically-false discrimination narratives blaming Whites. Image
Add in that the intelligence differences cannot be explained by discrimination—because there *is* measurement invariance—and these sorts of findings are incredibly damning for discrimination-based narratives of racial inequality.

So, said findings must be condemned, proscribed. Image
The above chart is from the NLSY '79, but it replicates in plenty of other datasets, because it is broadly true.

For example, here are three independent replications:
Read 4 tweets
Jan 29
How well-known is this?

A lot of the major pieces of civil rights legislation were passed by White elites who were upset at the violence generated by the Great Migration and the riots.

Because of his association with this violence, most people at the time came to dislike MLK. Image
It's only *after* his death, and with his public beatification that he's come to enjoy a good reputation.

This comic from 1967 is a much better summation of how the public viewed him than what people are generally taught today. Image
And yes, he was viewed better by Blacks than by Whites.

But remember, at the time, Whites were almost nine-tenths of the population.

Near his death, Whites were maybe one-quarter favorable to MLK, and most of that favorability was weak. Image
Read 5 tweets
Jan 28
The Pope, like his recent predecessors, is good to take this position: anti-Semitism is manifestly idiotic!

On that note, did you know that the Catholic Church was actually one of the biggest forces in stopping the rise of the Nazis?

It's true!🧵 Image
You might say that the Catholics didn't vote for the Nazis because they had their own party: Zentrum.

This isn't the explanation.

Note: the Catholic Church opposed both forms of totalitarianism in Germany, but it had an asymmetric effect against the Nazis, not the Communists.Image
The real "Catholic effect" on far right vote shares was small.

In reality, Catholics only became poised against the far right when the church began to actively campaign against it.

But when the local clergymen were "Brown Priests" (Nazi-supporting priests) like Alois Hudal? Image
Read 22 tweets
Jan 27
The researcher who put together these numbers was investigated and almost charged with a crime for bringing these numbers to light when she hadn't received permission.

Now we have an update that goes through 2020!

First: Where are Sweden's rapists from?

Mostly not Sweden. Image
What countries were those foreign rapists from?

We only got information on the top five origins, constituting roughly half of the foreign-born samples, and thus about a quarter of all the rapists. Image
What about welfare usage? 35.1%.
Alcoholism? 14.9%
Drug addiction? 23.7%
A diagnosed psychiatric disorder besides that? 13%

What about a criminal prior? 52%. That compares to 13.4% of non-rapist criminals. So rapes? Considerably more preventable.
Read 5 tweets
Jan 17
Greater Male Variability rarely makes for an adequate explanation of sex differences in performance.

One exception may be the number of papers published by academics.

If you remove the top 7.5% of men, there's no longer a gap! Image
The disciplines covered here were ones with relatively equal sex ratios: Education, Nursing & Caring Science, Psychology, Public Health, Sociology, and Social Work.

Because these are stats on professors, this means that if there's greater male variability, it's mostly right-tail
Despite this, the very highest-performing women actually outperformed the very highest-performing men on average, albeit slightly.

The percentiles in this image are for the combined group, so these findings coexist for composition reasons. Image
Read 6 tweets
Jan 17
One of the issues with understanding Greater Male Variability on IQ tests is that groups that perform better tend to show greater variance

Therefore, to estimate the 'correct' male-female gap, you need to estimate it when the difference is 0

In the CogAT, that looks like this: Image
In Project Talent, that looks like this: Image
And comparing siblings in the NLSY '79, that looks like this: Image
Read 5 tweets

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