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

Jul 2
I've seen people mentioning that Europe's heat-related death issue is larger than American gun violence—true!

But people neglect saying how many heat-related deaths America has.

Approximately 1% of what Europe does even though America is hotter and Americans are less healthy! Image
Those factors mean Americans are more at-risk for heat-related deaths, even after accounting for Europe being a little older than America.

So let's be clear:

Europeans die from heat at relatively high rates; Americans survive it with technology. Image
Image
What technology?

It's the terraforming technology of air conditioning.

Install A/C and the heat-related deaths will mostly disappear, if Europe can keep their grid operational. Image
Read 7 tweets
Jul 2
What happens when scholars get canceled?

They end up publishing fewer papers and they receive fewer citations.

In other words, scientific productivity falls🧵 Image
Tons of scholars have been cancelled in recent years.

That is, they've received professional backlash for expressing views that people deem "controversial, unpopular, or misaligned with prevailing norms." Image
Cancellations happen outside of academia, but it's very bad in it.

Large portions of the academy dislike the freedom of speech. Many of those free speech opponents have high agency and the clout to cause material harm to people they dislike = particularly bad cancel culture. Image
Read 13 tweets
Jun 28
You must pick one:

Double the productivity of the bottom 20% or double the productivity of the top 1%:
Double the productivity of the bottom 40% or double the productivity of the top 1%:
Double the productivity of the bottom 60% or double the productivity of the top 1%:
Read 7 tweets
Jun 27
Phenotyping is the vast, minimally-explored frontier in genome-wide association studies.

Important thread🧵

Briefly, phenotyping is how you measure people's traits. Measure poorly, get bad results; measure well, get good results.

Example? Janky knees. Image
The janky knee example refers to osteoarthritis, the most common form of arthritis, which occurs when the cartilage between bones is worn down, so bones start rubbing against each other.

This ends up being very painful. Image
Everyone with this condition isn't necessarily diagnosed with it.

This is especially true for men, who tend to just ignore this (and many other conditions) more often than women do.

This is, in a word, annoying, because it means that if you study it, sampling is likely biased. Image
Read 35 tweets
Jun 25
ADHD is a condition that's suffered from diagnostic drift: it's been defined more leniently over time, so more people are getting diagnosed.

One way to see this is to look at the benefits of taking ADHD medication. As prescription rates increased, the benefits have declined. Image
Another way to understand diagnostic drift is to look at the factors that promote it.

For example, school accountability laws lead to more diagnoses and, as a result, more psychoactive drug prescriptions.

Schools are pressured by law into making this happen. Image
An even more direct way to understand ADHD's diagnostic drift is to look at what types of diagnoses happen over time.

The increase has been more about non-severe ADHD than clinical ADHD. In other words, people with less and lesser symptoms are getting diagnosed. Image
Read 4 tweets
Jun 24
I have a story to break.

Columbia is still practicing racially discriminatory admissions in defiance of the Supreme Court's ruling in SFFA v. Harvard.

Newly-leaked data shows they still prefer less-qualified Blacks and Hispanics over more-qualified Asians🧵Image
Columbia has made a big show of "complying" with SFFA v. Harvard by noting that their 2024 batch of admits involved slightly less discrimination:

Fewer Black and Hispanic students, more Asian students.

That's what should happen, because Asian students tend to perform better.Image
But, with this leaked admissions data, we can see that race still predicts admissions.

With fair admissions, race should not have a significant effect, and it should not be directionally consistent.

And yet, in this data, it's clear Columbia still discriminates against Asians. Image
Read 14 tweets

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