Crémieux Profile picture
Feb 11, 2024 14 tweets 4 min read Read on X
Arthur Schlesinger dismissed studies of soldiers' World War II experiences as demonstration of common sense.

Perhaps he was correct. Consider the following findings:

"Better educated soldiers suffered more adjustment problems than less educated soldiers. (Intellectuals were less prepared for battle stresses than street-smart people.)"

"Southern soldiers coped better with the hot South Sea Island climate than Northern soldiers. (Southerners are more accustomed to hot weather.)"

"White privates were more eager to be promoted to noncommissioned officers than Black privates. (Years of oppression take a toll on achievement motivation.)"

How many of those findings did you predict in advance?
If you voted, skip to the next post to see the answer key.
Image
Each statement was "common sense," and they were all wrong.

If they had been stated in reverse and given new explanations, they would have still been called "common sense."
What's "common sense" is the domain of "Didn't we already know this?" and "Isn't this obvious?"

It's the domain of questions that people probably didn't predict, but will claim they would have. That's why predictions are so much more valuable than post hoc explanations.
People are infamously bad at actually predicting things or describing changes, and similarly infamously likely to state they knew what would happen or did happen all along.

For example, teachers don't know how much they have learned:
People don't know if they're eating more or less:
More, useless information can make predictions worse, but people still want more information: cremieux.xyz/p/bias-in-admi…Image
I have often explained what can be regarded as obvious concepts to those with statistical acumen.

But though there are trivial proofs aplenty undergirding these concepts, people still struggle with them.

Here's an example about combining distributions:
Here's another, on the issue of scaling:
And here's another, on the issue of comparing pass rates and standardized group differences:
Some people have even posited empirical "riddles," where some finding seems inconsistent with some other finding, but close inspection reveals there's no issue at all.

For example, Israeli PISA performance is not mysterious: aporiamagazine.com/p/pinpointing-…Image
What's obvious to me may not be obvious to you. What's obvious in hindsight might not be correct at all.

"Obviousness?" and "common sense" are a scourge on discussion in many domains because many phenomena are less self-evident than they might feel in a given moment.
And sometimes you do have to show evidence for the "obvious." Being a human who cares about others can require it.

The OP questions and this observation came from lesswrong.com/posts/WnheMGAk…

The original study is academic.oup.com/poq/article-ab…

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More from @cremieuxrecueil

Jun 1
My Uber driver says

- His license is suspended
- He was once a soldier for a Mafia family
- He's telling me about his time in Rikers
- He's showing me YouTube videos
- He's telling me his theories about Jews
He's telling me about gang wars he was in ad a kid.

He's wondering why all the Chinese girls are lined up - for an audition?

He says to go to Mother's Ruin for latin prostitutes.

All of this entirely unprompted.
"Yeah, these African guys, yeesh"

"I couldn't fuck that whore because I got the erectile dysfunction."

He just keeps going.
Read 6 tweets
May 29
This is just not true and it's sad that people believe it.

It's also indicting, when it's so obviously false if you just look out into the world. What you see should match what the statistics clearly show:

Estimated marriage effects for men and women are almost always similar🧵 Image
In that chart, I used the GSS and found something many people replicate:

1. Cross-sectionally, there's a relationship between being married and life satisfaction. It's similar for men and women.

2. Within persons—causally!—marriage boosts life satisfaction, but more for women.
Leveraging the same within-person design, we can use the Add Health dataset to look at stress and depression.

For both sexes, the effects are indistinguishable.

But they're also mostly not real: it's just that people who get married tend to be less stressed and depressed! Image
Read 10 tweets
May 26
As a recap on my appearance, Eli Lilly is pursuing:

- A one-dose drug for preventing most heart disease
- A vaccine for chlamydia
- A vaccine for gonorrhea
- A vaccine for Epstein-Barr
- A drug that lets you stay awake longer and feel more rested

It's a golden age of pharma! Image
And remember, Eli Lilly's big break historically was the University of Toronto licensing them to produce insulin.

They started off by giving it out for free, saving the world's diabetics at a time when there was no treatment available.

They've always been a force for good. Image
I think

- The heart disease drug will succeed
-- Will it commercialize? It can, easily. But I'm 50/50 due to the competition
- Chlamydia and gonorrhea vax will succeed, but I don't see much commercial potential with Lilly
- EBV vaccine will fail with Lilly, succeed eventually
Read 5 tweets
May 25
Eli Lilly has done it.

They've gone and made what seems to be a powerful, permanent gene therapy for LDL cholesterol.

That means they'll be able to effectively prevent most heart disease with a single infusion! Image
Almost all of the side effects were just things you see with any infusion. Some people react poorly to needles and having to sit for a while🤷‍♀️

And that's what we expect, because the people with good PCSK9 genes naturally are totally fine. This therapy catches the rest of us up!
This is amazing stuff, beating drug administration because it's permanent, and it only gets better from here.

We are going to get so healthy, so fast. Our grandkids are going to hear about heart attacks and have never actually seen one.

Source: nejm.org/doi/full/10.10…
Read 5 tweets
May 24
Are White women the primary beneficiaries of affirmative action?

That's a real claim that's commonly advanced by journalists, and the claim has gone so far that it's even made its way into academic publications and policy.

But the claim is completely false🧵 Image
This claim doesn't make a lot of sense. After all, shouldn't the primary beneficiaries of affirmative action be the people who the policies primarily target?

In America, that's African Americans and, among them, women get an added benefit. How could it be Whites? Image
To figure out where the claim comes from, I started reading supposed sources.

Often enough, journalists will just take the claim for granted without providing *any* source.

It's just tacit knowledge now, and that's not good!

Then, when you hit a source, it's not supportive: Image
Read 13 tweets
May 7
World War I devastated Britain and likely slowed down its technological progress🧵

The reason being, the youth are the engine of innovation.

Areas that saw more deaths saw larger declines in patenting in the years following the war. Image
To figure out the innovation effects of losing a large portion of a generation's young men who were just coming into the primes of their lives, the authors needed four pieces of data.

The first were the numbers and pre-war locations of soldiers who died. Image
The next components were the numbers and locations of patent filings.

If you look at both graphs, you see obvious total population effects. So, areas must be normalized. Image
Read 12 tweets

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