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.
This analysis has several advantages compared to earlier ones.
The most obvious is the whole-genome data combined with a large sample size. All earlier whole-genome heritability estimates have been made using smaller samples, and thus had far greater uncertainty.
The next big thing is that the SNP and pedigree heritability estimates came from the same sample.
This can matter a lot.
If one sample has a heritability of 0.5 for a trait and another has a heritability of 0.4, it'd be a mistake to chalk the difference up to the method.
The original source for the Medline p-values explicitly compared the distributions in the abstracts and full-texts.
They found that there was a kink such that positive results had excess lower-bounds above 1 and negative results had excess upper-bounds below 1.
They then explicitly compared the distributional kinkiness from Medline to the distributions from an earlier paper that was similar to a specification curve analysis.
That meant comparing Medline to a result that was definitely not subject to p-hacking or publication bias.
I got blocked for this meager bit of pushback on an obviously wrong idea lol.
Seriously:
Anyone claiming that von Neumann was tutored into being a genius is high on crack. He could recite the lines from any page of any book he ever read. That's not education!
'So, what's your theory on how von Neumann could tell you the exact weights and dimensions of objects without measuring tape or a scale?'
'Ah, it was the education that was provided to him, much like the education provided to his brothers and cousins.'
'How could his teachers have set him up to connect totally disparate fields in unique ways, especially given that every teacher who ever talked about him noted that he was much smarter than them and they found it hard to teach him?'
This study also provides more to differentiate viral myocarditis from vaccine """myocarditis""", which again, is mild, resolves quickly, etc., unlike real myocarditis.
To see what it is, first look at this plot, showing COVID infection risks by time since diagnosis:
Now look at risks since injection.
See the difference?
The risks related to infection hold up for a year or more. The risks related to injection, by contrast, are short-term.