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

Jun 4
This 91 vs 103 thing is either ignorance or chicanery.

The issue has been explained to him multiple times, but TL;DR:

(1) The standardized difference is still the same 1 SD its always been, (2) IQ does not have a ratio scale, (3) the population hasn't gotten smarter. Image
If you want to understand this error, I have material aplenty for you.

First, on the issue of rescaling differences, here's a post:
Second, on the issue of the scale of the gap, as of 2023, it had not shrunken from where it stood in World War I: cremieux.xyz/p/the-state-of…
Read 8 tweets
Jun 4
The Wall Street Journal just published the FDA's Opinion piece-length rationale for banning talc.

I was happy to see they were citing studies, but after I read the studies, I was dismayed:

The FDA fell victim to bad science, and they might ban talcum powder because of it!

🧵 Image
The evidence cited in the article is

- A 2019 meta-analysis
- A review by the International Agency for Research on Cancer (IARC)
- A 2019 cohort study from Taiwan

Let's go through each of these and see if the FDA's evidence holds water. Image
The first piece of evidence they cite is a meta-analysis, and it's a doozy.

The study includes 27 estimates of the observational association between talc use and ovarian cancer rates.

Three estimates come from cohort studies. Those are fine. The problem is the 24 other studies.
Read 42 tweets
Jun 3
Let's make this even clearer.

The severity of COVID vaccine-related myocarditis was far lower than the severity of COVID-related myocarditis, which instead looked like regular viral myocarditis.

You can see this in many cohorts. For example, this was seen in France: Image
This result replicates everywhere it's tested.

We knew this from the initial small studies... Image
Image
And we knew this based on somewhat larger Scandinavian register-based work as well

Do note, however, that the Scandinavian work had a poor case definition for infection-driven myocarditis compared to other cohorts. As the long-term study linked in the QT shows, they missed most Image
Read 22 tweets
Jun 2
A friend of mine won a bet about myocarditis and the COVID vaccines a few years ago.

He bet that the myocarditis side effect was real and sizable for young men.

While COVID was more likely to cause myocarditis in general, among the young, the Moderna vaccine was a bit worse. Image
This still wasn't really something to worry about.

Look at the rates. They're incredibly small, at just about 15 per 1,000,000 under 40 years of age for the second dose of the Moderna vaccine and 3 per 1,000,000 for the Pfizer one.

Compare to whole-population COVID-myocarditis.
The vaccines were safe and effective, but this side effect was not all hype, as some health authorities jumped to claim.

Oh well, lessons learned. Hopefully.

Worth noting, though, that the vaccines still saved more lives than were harmed. ~15-20m lives by late 2022, in fact. Image
Read 4 tweets
Jun 2
With so many people identifying themselves as having disorders that they're not diagnosed with, the U.K. will certainly have a glut of diagnoses in the near future.

People think it, and then make it so, and if the state honors those diagnoses, they'll end up paying out the nose. Image
Similarly, in Minnesota, the state recognizes clearly fraudulent autism diagnoses.

Who's doing them? Normal parents, but also certain communities.

For example, Somali immigrants have figured out how to get more welfare funds by getting their kids fake diagnoses. Image
As a result, fraud cases have opened up and the FBI has begun to investigate the Somali communities where autism funds are getting disproportionately directed.

In 2009, Minnesota Somalis had an autism rate about 7x the non-Somali average. Today, it's still high, at just over 3x.
Read 6 tweets
Jun 2
Obesity has immense costs, and not just direct, medical ones.

Obesity makes people miss work and increases the odds they're on disability. It also increases presenteeism and workers' compensation costs.

The total cost is in the hundred of billions to over a trillion per year. Image
The costs of overweight and obesity are so extreme that making reducing the obesity rate can pay for itself if it can be done at prices achievable today.

And this number doesn't even consider all the costs. There are high costs from cardiovascular issues and cancer, too. Image
The most extreme estimate I'm aware of put the cost of obesity in 2016 at $1.7 trillion per year, due to $1.2 trillion in indirect costs.

But this study calculated costs based on all treated comorbidities associated with obesity/overweight, so might've been skewed.Image
Read 5 tweets

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