Crémieux Profile picture
Apr 7 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

Apr 8
I've written two articles on this topic.

I think I have a via negativa answer—one based on what does not cause the effect.

Firstly, the birth order effect shows up from the first surviving child. If a previous sibling died young, the "social firstborn" has the advantageImage
Second, even in large samples, there's cross-cultural inconsistency.

In this case, researchers looked at immigrants to Norway and found that in some cases, their birth order effects were null or went the opposite direction. Image
Third, the birth order effect shows up with adoptees.

In some cases, adoptees' "birth orders" (i.e., adoption orders) are misaligned with ages due to late adoption. In those cases, the effect still follows the "correct" order: Image
Read 12 tweets
Apr 6
If the Trump administration wants to reshore economic activity, they need to increase the throughput of American ports or America will end up bottlenecked there.

They should subsidize port automation and crush the longshoremen union to make this happen.

Think about the effects: Image
Another thing to keep in mind: knock-on effects!

If ports become more efficient, horrid arrangements like going to more distant ports to avoid waiting would come to an end, or at least be reduced in their extent:Image
And one more thing to keep in mind:

Skeptics of port automation often cite the need for higher export volumes to justify port automation. Without that, it can take a long time to pay off, and the benefits over a non-automated port might be too small, at least with current tech.
Read 5 tweets
Apr 6
India and China were both poorer than Sub-Saharan Africa in 1990, but they liberalized their economies and pulled away.

Sub-Saharan Africa seemingly refuses to grow and has gained less than $1,000 in GDP PPP per capita over the past three decades. Image
Sub-Saharan Africa is the world's worst basket-case.

A very large share of the economies in the region are built on foreign aid, and even in relatively-prosperous South Africa, all growth from the 20th to 85th percentiles is due to redistribution! Image
My hopes are not high for Sub-Saharan Africa for many reasons.

Even the region's stand-out reformer, Botswana, is in a growth regime that's driven by natural resource exports. That has not proven to be sustainable. Image
Read 4 tweets
Apr 6
The dual-use side of industrialization isn't just about the ability to convert one factory to another type of factory, but also about having the types of workers who know how to do that, and who know how to set up more factories.

Knowledge really does decay. Remember tritium? Image
With everything nuclear-associated, China has a positive learning curve, meaning that they get better at producing the same things, with the same materials, once they've done it once, twice, thrice, etc.

But in the U.S., nuclear has been neglected; all nuclear knowledge decays.
If you don't build things domestically, it will be harder to start building them domestically when the time comes. You have to have workers around who know what they're doing, and training takes time.

Plus, really learning requires trial-and-error.
Read 5 tweets
Apr 6
The state of Louisiana has managed to reduce its Hepatitis C death rate by nearly a sixth in just a few years through a clever public health program🧵 Image
Louisiana's success has to do with the recent development of a miraculous change in how Hepatitis C (HCV) is treated.

Prior to 2013, HCV was primarily treated with drugs like interferon and ribavirin, but the drugs were not consistently effective at clearing the virus.Image
But then the FDA approved the first direct-acting antiviral (DAA), sofosbuvir, a liver-targeting NS5B protein inhibitor that, combined with another protein inhibitor (velpatasvir), is effective in treating 95-99% of HCV patients.

That's basically everyone! Image
Read 15 tweets
Apr 5
We finally have large-scale cross-sectional functional connectome scans for people aged young and old.

The finding that was most interesting to me in all this is that the brain's functional connectome seems to grow until about age 38, whereafter it starts shrinking. Image
Ignore the tails, because they're impacted by variance.

But speaking of, it seems that the global variance in the form of the connectome also grows until about age 28, whereafter it starts becoming less variable.Image
This is really interesting new data, and I'm happy to see it published.

Hopefully in a few decades, we'll have longitudinal data to see if what we see in the cross-section holds up within individuals, too!
Read 4 tweets

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