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?🧵
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.
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?
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.
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).
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.
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":
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!
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.
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
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.
British fertility abruptly fell after one important court case: the Bradlaugh-Besant trial🧵
You can see its impact very visibly on this chart:
The trial involved Annie Besant (left) and Charles Bradlaugh (right).
These two were atheists—a scandalous position at the time!—and they wanted to promote free-thinking about practically everything that upset the puritanical society of their time.
They were on trial because they tried to sell a book entitled Fruits of Philosophy.
This was an American guide to tons of different aspects of family planning, and included birth control methods, some of which worked, others which did not.
One of the really interesting studies on the psychiatric effects of maltreatment is Danese and Widom's from Nat. Hum. Behavior a few years ago.
They found that only subjective (S), rather than objective (O) maltreatment predicted actually having a mental disorder.
Phrased differently, if people subjectively believed they were abused, that predicted poor mental health, but objectively recorded maltreatment only predicted it if there was also a subjective report.
Some people might 'simply' be more resilient than others.
I think this finding makes sense.
Consider the level of agreement between prospective (P-R) and retrospective (R-P) reports of childhood maltreatment.
A slim majority of people recorded being mistreated later report that they were mistreated when asked to recall.
The Reich Lab article on genetic selection in Europe over the last 10,000 years is finally online, and it includes such interesting results as:
- Intelligence has increased
- People got lighter
- Mental disorders became less common
And more!
They've added some interesting simulation results that show that these changes are unlikely to have happened without directional selection, under a variety of different model assumptions.
They also showed that, despite pigmentation being oligogenic, selection on it was polygenic.
"[S]election for pigmentation had an equal impact on all variants in proportion to effect size."
I still think this is one of the most important recent papers on AI in the job market🧵
The website Freelancer added an option to generate cover letters with AI, and suddenly the quality associated with cover letters stopped predicting the odds of people getting hired!
LLMs do a few things to cover letters.
Firstly, they increase the quality, as measured by how well tailored they are to a given job listing.
Second, they make job applications in expensive, so people start spending less time shooting off applications.
More, rapidly-produced job applications becomes the norm.
Now, we have a breakdown of different types of rich people!
Among those who could be classified, the majority of the rich (79%; >=€1m net worth) were self-made, with a smaller, 21% share whose wealth came primarily from inheritances.
How do inheritors and the self-made differ in personality?
They're both more risk-tolerant and less neurotic than the average, but the inheritor profile looks like a mixture between the overall rich and normal people, with more agreeableness, less openness, etc.
When did being fat become a thing for poor people?🧵
We should start with the observation that, as countries get richer, they tend to get fatter.
This might seem contradictory to the whole thesis, but it's not.
Countries become obese with wealth because poorer people within them are able to get fatter as they become richer.
The ecological and individual relationships differ.
Look internationally:
Now, we have good data for much of the U.S., and it tends to agree with Swiss and Dutch data, in that the inversion of the relationship between obesity and social status was a post-WWII, mid-century thing.
It precedes the welfare state, and then it's fairly constant.