Crémieux Profile picture
Oct 4, 2024 19 tweets 5 min read Read on X
Lots of people attacking this decision, but do you think YOU could pass the POST?

Here's a thread of test questions.

Question 1: Image
If you're already struggling, don't worry, just keep plugging in your answers.

For questions 2 and 3 you'll have to do some addition and subtraction: Image
The test might seem too tough for you now, but just wait until you see question number 4: Image
Question 5 separates the men from the boys, or apparently, the men women from the women: Image
Now we're going to transition from the mathematics section to reading comprehension.

Before getting to the questions, read this paragraph. You'll need it for questions 6 through 10: Image
Now here are the stumpers in question: Image
Question 11 gets its own passage: Image
Giving up yet? Well hang in there.

Questions 12 and 13 rely on this material: Image
Now you have to answer the hard questions like 'Can you read a paragraph that contains the answer?' Image
The following questions ask you to identify spelling and grammatical errors and to insert the correct word where it fits: Image
Question 18 also asks you to identify a spelling error. This can be a hard one! Image
Now here's how you do the final section.

You have to fill out forms correctly, according to a style guide everyone is provided. Image
The questions are based on this.

You have to fill in which items were stolen, where the victim lived, the suspect's name and address, the suspect's clothing items, and the names of the officers assigned to the complaint. Image
Now, without sarcasm, if you fail this sort of test, something is wrong with you. This test is incredibly easy and you would have to be illiterate and innumerate to fail.

And yet, 9% of Whites and 29% of Blacks fail. Incidentally, with equal variances, that's a 0.79 d difference
That difference is what's expected based on the Black-White difference in the general population with a bit of selection into test-taking added. It matches up with what we know to be unbiased differences in other tests of police officers (e.g., on the WAIS).
Now what do the women fail? Well, 49% of them can't do 18 push-ups in a minute, 27 sit-ups in a minute, run 1.5 miles in 15m20s, and reach 1.5 inches past their toes while seated.

They're pathetically physically incapable, so that's the department's fault.
The Maryland Department of State Police would need to show that the thresholds used in the test have equal predictive power by sex, that they're relevant to the job, etc.

Everyone knows a physical test is fine, but justifying it is obviously hard.
You could argue that maybe the female officers won't be stepping into the line of duty, or that the test just doesn't work at all, but argue that.

Otherwise, we get yet another senseless attack on having even bottom of the barrel standards.

It's pathetic.
Now if you really couldn't figure out the POST question answers, here's a link to the answer sheet: mdsp.maryland.gov/Careers/Troope…

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More from @cremieuxrecueil

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
Jan 14
About a decade ago, a theory emerged:

If men do more of the housework and child care, fertility rates will rise!

Men have been doing increasingly large shares of the housework and child care.

Fertility is lower than ever.Image
In fact, they're doing more in each generation, but fertility has continued to fall. Image
The original claim, that men's household work would buoy fertility, was based on cross-sectional data that was inappropriately given a causal interpretation.

The updated cross-sectional data is as useful, and it affords no assurances about the original idea.

We should move on.
Read 4 tweets
Jan 13
American military veterans have a suicide problem.

Some have theorized the reason is deployment-related trauma.

Leveraging the random assignment of new soldiers to units with different deployment cycles, Bruhn et al. found that was wrong.

Deployment did not increase suicides. Image
Looking only at violent deployments (ones with peer casualties), there aren't noncombat mortality effects either.

What explains veteran suicide rates? Image
The reason seems to be that the proposition is wrong: veterans do not have increased suicide risk.

This may seem surprising, but it's not!

Their suicide rates are elevated over the general population because most of them are young White men. That group has a suicide issue. Image
Read 8 tweets
Jan 12
That aspect is probably not that unrealistic, unfortunately.

Across the OECD, on average, just 55% of 15-to-16-year-olds got this question right, and no country saw 80% get it.

Most people globally *do* struggle even reading simple tables. What else?

Thread.🧵 Image
That table-reading question is "Level 3", which, amazingly, corresponds to an already-high level of ability, by global standards.

This is a simpler Level 1 question, but with this, 92% of the OECD got it, including just 65% of Brazilians and 53% of Peruvians. Image
Level 2!

Just 77% of the OECD got this, with less than half of the Mexican population being up to the task.

In fact, only Asian countries got over 90% on this trivial question. Image
Read 9 tweets
Jan 10
Credit card rewards are a great way to redistribute billions of dollars from people who are bad with money to people who are good with it.

With the advent of rewards cards (red), there's lots of cross-subsidization of people with high credit scores by people with low scores. Image
Curiously, the degree of cross-subsidization is not just an income thing.

People with high incomes (green) and moderate incomes (yellow) take fewer rewards at low credit scores, although they take more at high credit scores. Image
What does this do demographically? Spatially?

Credit card rewards transfer money from uneducated to educated, poor to rich, Black to White, and rural to urban. Image
Read 5 tweets

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