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.
Are White women the primary beneficiaries of affirmative action?
That's a real claim that's commonly advanced by journalists, and the claim has gone so far that it's even made its way into academic publications and policy.
But the claim is completely false🧵
This claim doesn't make a lot of sense. After all, shouldn't the primary beneficiaries of affirmative action be the people who the policies primarily target?
In America, that's African Americans and, among them, women get an added benefit. How could it be Whites?
To figure out where the claim comes from, I started reading supposed sources.
Often enough, journalists will just take the claim for granted without providing *any* source.
It's just tacit knowledge now, and that's not good!
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.
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.
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.
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!
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.
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!🧵
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.
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.
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.
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.
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.
"Food deserts" are an example of social scientists getting causality backwards
They saw poor people eating unhealthy foods and blamed local supply
They should have blamed demand!
Using data from 13 years of supermarket entries, there's basically no effects on healthy eating🧵
The significant effects are probably not meaningful. They're more likely under the null with this gigantic dataset (p's of 0.003 and 0.005 with a total sample size of ~2.9m)
Entry did affect sales for new stores, but not existing ones. It also affected more local places more.
When new supermarkets open up, they do nab a share of local grocery sales, but the effect on healthy eating in total, among low-income households, and in food deserts, just isn't there.