What does labor-saving technology do to workers? Does it make them poor? Does it take away their jobs?
Let's review!
First: Most papers do support the idea that technology takes people's jobs.
This needs qualified.
Most types of job-relevant technology do take jobs, but innovation is largely excepted, because, well, introducing a new innovation tends to, instead, give employers money they can use to hire people.
But if technology takes jobs, why do we still have jobs?
Simple: Because through stimulating production and demand, it also reinstates laborers!
This is supported by the overwhelming majority of studies:
This reinstatement effect is largely consistent across types of technology, with innovations still looking a bit odd.
That is the weirdest category of technology besides "other", so roll with it.
Now the operative question is, if workers lose their jobs and end up reinstated in other jobs, what happens to their incomes?
Well, technology introduction tends to boost incomes!
Across types of tech, this result is pretty consistent: studies agree, technology makes us richer!
But, you might ask, whose income is boosted? Because if reinstatement affects far smaller numbers of workers than replacement, some people might still be getting shafted.
Well, the net employment effects of technology are highly ambiguous:
If we look across types of technology the picture I mentioned above for innovation-style technology shows up again: many studies suggest it's good for employment.
The reason impacts on net employment are so ambiguous is because they really have to be qualified.
For example, in general, when robots cause manufacturing employment to fall, there's a compensatory effect on service-sector employment that's at least as large in magnitude:
What makes that impact so interesting is another way it's qualified: It's smaller in industries more at-risk of offshoring.
In other words, industrial robots save American jobs from going overseas.
Industrial robots also contribute directly to reshoring. In other words, when Americans buy robots to do their manufacturing, Mexicans lose their jobs.
The welfare impact for domestic workers is positive. Not so for Mexicans, but that's just how things go.
Overall, labor-saving technology is clearly good, and the longer we delay adopting it, the poorer we will be relative to the world in which we picked it up immediately.
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.
Why have testosterone levels been rising over time?
The testosterone levels of American men are up compared to what they used to be, but no one has a good explanation.
Let's look through some possibilities🧵
Is it perhaps because of a racial composition change?
No.
Different races tend to have similar testosterone levels and trends within groups are similar.
Is it perhaps because of age composition change?
No.
The decline by age is much more graceful than people tend to suspect, and within each age group, levels are up without survey weighting, and in nearly all with it, they're still up.
In my latest article, I documented that the only RCT for functional medicine methods appears fraudulent🧵
Before getting into it, what's functional medicine?
It's a pseudoscience used to bilk patients by getting them on an unending cycle of tests, supplements, and more tests.
Functional medicine's practitioners claim that they can reveal and treat so-called "root causes" of people's health problems
These are proposed to be things like gut health, toxin burdens, and various chemical and hormonal imbalances
They find these things with unproven tests
If you run enough tests, you will be able to find something that looks 'off' about a patient, and if you're a functional medicine doctor, that's your 'A-ha!' moment, even if—as is usually the case—the result is just a false-positive and treating it is unlikely to do anything.