Crémieux Profile picture
Apr 7, 2025 21 tweets 7 min read Read on X
Researchers put together an incredible workplace wellness program that provided thousands of workers with paid time off to receive biometric health screening, health risk assessments, smoking cessation help, stress management, exercise, etc.

What did this do for their health?🧵 Image
So, for starters, this program had a large sample and ran over multiple years.

Because of it, we have evidence on what people do with clinical health info, with exercise encouragement and advice, with nutritional knowledge, through peer effects, and so on. Image
Participants in the treatment group were prompted to participate with cash rewards ranging from $50 to $350.

Go to screening? Earn some money, help yourself by bolstering your knowledge about yourself and potentially improving your health.

What could be simpler? Image
The participants certainly seemed to think so.

The cash rewards did get more people into screenings and advising, and they even got some people moving more.

If estimates from earlier studies were to be believed, this effort should even do enough to save employers money!
But that didn't work.

Average monthly medical spending didn't change when comparing the treatment to the control group. Image
In fact, this study stands out in the literature, as getting nulls across basically every outcome relevant to the employer.

Health and wellness incentives and opportunities did not make people less absent or medically costly, or much else (which we'll get to).Image
Before getting to other outcomes, we have to ask: Why trust this over other results? A few reasons:

For one, it was bigger than other studies in the experimental literature.

For two, it was preregistered, publicly archived, and independently analyzed by outside researchers.
All of that on its own is really good. But what really takes the cake is that the prior literature was impacted by p-hacking and publication bias, whereas these researchers committed to publishing their results regardless. Image
Who do you trust more?

"We aren't financially conflicted and we'll publish regardless of what happens and of course we provide data and code."

or "p = 0.04, this program is life-changing (ignore my financial conflicts of interest :))"

I know my answer, you know my answer.
Now let's talk other outcomes.

Medical spending: not affected in total, admin-wise, drug-wise, office-wise, hospital-wise, or in terms of any utilization metric.

Employment and productivity: Didn't affect employee retention, salaries, promotions, sick leave, overtime, etc.
More employment and productivity: Didn't affect job satisfaction or feelings of productivity. BUT, did affect views about management priorities on health (increased) and the likelihood of engaging in a job search (increased).

That's backfiring, potentially.
Participants failed to increase their number of gym visits, didn't participate in the IL marathon, 10k, or 5k more often, despite smoking cessation advice and help they didn't smoke less, they didn't report better health, hell, they became (marginally-significantly) fatter!
Across basically every metric, the results were null, null, and--my favorite--null.

And this is what we expect with credible intervention evaluations of high-quality samples. This is so common, in fact, that it's been dubbed the "Stainless Steel Law":Image
But the most amazing detail, in my opinion, is that this study went further:

It explained why prior observational work showed such large benefits for workplace wellness programs.

The reason is selection: health-conscious employees selected into the program and stuck with it!Image
These programs' effectiveness is a classic example of selection leading to results that simply cannot be trusted.

But... how?! Why?! After all, this program had all the ingredients that so many prominent people think will solve America's public health issues.
The answer is that they misunderstand people.

Most people are lazy, commitment is hard

My recommendation to ppl who haven't learned that is to do a clinical rotation or read abt the thousands of programs across America that have done food delivery coaching, etc., with no effect
This leads me to something important:

Do you know why Ozempic works so well and has enjoyed such incredible popularity of late?

If you can understand these headlines, you'll get it. Image
Image
Image
Ozempic makes it automatic to lose weight.

It takes out the effort, and people have an easier time doing more (in this case, work) than they do being asked to eat less or doing things that simultaneously bore and fatigue them (exercise) without a commitment mechanism like a boss Image
For this reason, GLP-1RAs are going to decisively beat all efforts to advise people, to provide them with healthy food and instructions on how to prepare it, and all of that tried-and-true advice that's been around and in vogue for decades, but clearly hasn't worked.
To top this all off, here's the result of a contemporaneous large, cluster-randomized controlled trial of workplace wellness programs at BJ's Wholesale Club.

Similar intervention, somewhat optimistic effects, and, once again, no results to show for it. Image

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More from @cremieuxrecueil

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
May 5
New Pangram validation!

You know how most books on Amazon are AI slop now? If you didn't, look at the publication numbers.

Compare those to the proportion Pangram flags as AI-generated. It's fully aligned with the implied numbers based on the rise over 2022 publication levels! Image
Similarly, the rise of pro se litigants has come with a rise in case filings detected as being AI-generated, and with virtually zero false-positives before AI was around.

You can also see the rise of AI-generated text and yet more evidence for Pangram's validity from looking at different journalists.

Large portions of the journalistic profession are lazy, so they cheat when they can.

For example, the Guardian's Bryan Graham = slop Image
Read 9 tweets
May 3
Pierre Guillaume Frédéric le Play argued that France's early fertility decline was driven by its inheritance reforms, where estates had to be split up equally to all of the kids, including the girls.

There's likely something to this!🧵 Image
For reference, the French Revolution ushered in a number of egalitarian laws.

A major example of these had to do with inheritance, and in particular with partibility.

In some areas of France, there was partible inheritance, and in others, it was impartible. Image
Partible inheritance refers to inheritance spread among all of a person's heirs, sometimes including girls, sometimes not.

Impartible inheritance on the other hands refers to the situation where the head of an estate can nominate a particular heir to get all or a select portion. Image
Read 11 tweets
May 1
In terms of their employment, religion, and sex, people who joined the Nazi party started off incredibly distinct from the people in their communities.

It's only near the end of WWII when they started resembling everyday Germans. Image
Early on, a lot of this dissimilarity is due to hysteresis.

Even as the party was growing, people were selectively recruited because they were often recruited by their out-of-place friends, and they were themselves out-of-place.

It took huge growth to break that. Image
And you can see the decline of fervor based on the decline of Nazi imagery in people's portraits.

And while this is observed by-and-large, it's not observed among the SS, who had a consistently higher rate of symbolic fanaticism. Image
Read 5 tweets
Apr 23
I simulated 100,000 people to show how often people are "thrice-exceptional": Smart, stable, and exceptionally hard-working.

I've highlighted these people in red in this chart: Image
If you reorient the chart to a bird's eye view, it looks like this: Image
In short, there are not many people who are thrice-exceptional, in the sense of being at least +2 standard deviations in conscientiousness, emotional stability (i.e., inverse neuroticism), and intelligence.

To replicate this, use 42 as the seed and assume linearity and normality
Read 7 tweets
Apr 22
I would like to live in a high-trust society.

The decline of trust is something worth caring about, and reversing it is something worth doing.

We should not have to live constantly wondering if we're being lied to or scammed. Trust should be possible again.
I don't know how we go about regaining trust and promoting trustworthiness in society.

It feels like there's an immense level of toleration of untrustworthy behavior from everyone: scams are openly funded; academics congratulate their fraudster peers; all content is now slop.
What China's doing—corruption crackdowns and arresting fraudsters—seems laudable, and I think the U.S. and other Western nations should follow suit.

Fraud leads to so many lives being lost and so much progress being halted or delayed.

I'm close to being single-issue on this.
Read 6 tweets

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