Crémieux Profile picture
May 21, 2023 10 tweets 4 min read Read on X
Changes to the Bar exam so far don't seem to have made a dent in the race differences in performance on it.

How large are these differences? In the latest year, 2022, the Black-White gap in California Bar pass rates was 0.97 SDs.

And this matters because we expect a threshold Image
to practice (the Bar exam) to reduce subsequent performance gaps.

But how much should those gaps be reduced?

Let's simulate to find out!

@_twolfram recently provided an estimate for British lawyers' IQs of 110.31: sciencedirect.com/science/articl….

Let's go ahead and assume
there's a threshold that's 0.67 SDs (10 points) above the higher-performing of two groups with equal variances who are separated by 0.97 d.

With simulated group sizes of one million persons each, the mean differences decline, and the SDs do too. The new gap is 0.412 d. Image
But we know that the 0.97 d gap is an underestimate due to range restriction.

Using MBE scores, it looks like the unrestricted gap should be more like 1.22 d. That leaves us with a 0.537 d gap above the threshold.

Do we have subsequent performance measures?

Yes! We have three:
- Complaints made against attorneys
- Probations
- Disbarments

For men, the gaps, in order, are 0.576, 0.513, and 0.564 d. For women, the gaps are 0.576, 0.286, and 0.286 d.

Men fit expectations and women apparently needed less discipline. Source: https://board.calba...
These gaps probably replicate nationally.

For example, here are Texas pass rates from 2004 - a 0.961 d Black-White first-pass gap. The 2006 update to these figures raised the gap to 0.969 d. Source: https://ble.texas.g...Image
Those figures are basically in line with LSAC's national study of Bar exam pass rates. Image
And those are basically in line with New York's gaps. Image
And this should probably be expected, since tests measure the same things. Image
Since all of the people included in these statistics went to ABA-accredited schools, they all had the opportunity to learn what was required to perform well on these tests.

But just like the Step examinations for medical doctors, the gaps on the tests and in real life remain.

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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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