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

Mar 11
Nutrition science is the area of science that's suffered the most in the replication crisis. It is a graveyard of theories and pseudoscientific bullshit.

Now:

The HHS is going to make doctors to sit through 40 hours of classes where they'll have to take that bullshit seriously. Image
This reads like a list of the things that fared the worst in all of nutrition science and stuff with NO EVIDENCE.

When I read through this, my mouth was agape.

Whoever wrote this trash needs fired for incompetence. Mentally retarded people should not hold keep government posts.
'What did you learn in your mandatory nutrition misinformation class?'

'Well, if a patient comes in with a migraine, I'm supposed to sell them a WHOOP bracelet or an Oura ring so I can help them figure out their health age.'
Read 12 tweets
Mar 10
You should be flexible and you should be strong.

Strength training is a highly effective way to improve your flexibility, and I've made a graphic to put this into understandable terms: Image
This is from a meta-analysis of strength training trials.

What makes that so useful is that there's major publication bias for strength outcomes (pictured).

But, since authors weren't looking at it, there's no publication bias for flexibility outcomes.Image
Studies made their way into this meta-analysis because they had a flexibility outcome, but they made their way into the literature because they showed positive strength results.

This could indirectly biased the flexibility results because of selection on a correlated outcome.
Read 7 tweets
Mar 9
State IQ maps are interesting because they mostly reflect racial demographic mix.

The much more interesting maps are the race-specific ones🧵

Here's a thread of county-level IQ maps by race. First up? Whites: Image
The next-biggest group? Hispanics: Image
The next group is Blacks: Image
Read 6 tweets
Feb 21
"Without Mohammed, Charlemagne would have been inconceivable."

This quote summarizes Pirenne's thesis that the European Dark Ages began with the rise of Islam because it destroyed the flow of trade across the Mediterranean, ending Antiquity. Image
The decline in trade that resulted from differences in faith had profound consequences for the economic geography of Europe.

Byzantine economic activity depended on trade, and it collapsed, whereas the Frankish economy, which was never trade-dependent, transformed.
Byzantine minting stalled and the Arabs' and Franks' increased (perhaps partly because they were cut off from one another!), providing each of their states with divergent trends in seignorage revenues and a widening gulf in the ability to fund the government.
Read 5 tweets
Feb 10
In the effort to pull out ALL the stops against GLP-1RAs, we've gotten to...

'GLP-1s cause scurvy'

On a tangentially related note, do you know why scurvy and the Sicilian Mafia are related to why British are called "Limeys"?🧵 Image
Do you know this man?

Some of you who are familiar with medicine no doubt do, but if you don't, no worries: This is James Lind, the man most often credited with finding the cure for scurvy. Image
Scurvy is one of humanity's great historical killers.

It's a gruesome condition that culminates in your life's wounds reappearing on your flesh. If you want a picture, go look it up.

You never hear about it today though, because it's so easy to cure. Image
Read 18 tweets
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

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