Crémieux Profile picture
Oct 27, 2024 12 tweets 4 min read Read on X
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.Image
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. Image
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:Image
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. Image
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!Image
Across types of tech, this result is pretty consistent: studies agree, technology makes us richer! Image
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:Image
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. Image
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: Image
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.Image
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. Image
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.

Want to know more? Check out my latest article: cremieux.xyz/p/workers-for-…

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More from @cremieuxrecueil

May 7
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. Image
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. Image
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. Image
Read 12 tweets
May 5
New Pangram validation!

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! Image
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.

You can also see the rise of AI-generated text and yet more evidence for Pangram's validity from looking at different journalists.

Large portions of the journalistic profession are lazy, so they cheat when they can.

For example, the Guardian's Bryan Graham = slop Image
Read 9 tweets
May 3
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!🧵 Image
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. Image
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. Image
Read 11 tweets
May 1
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. Image
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. Image
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. Image
Read 5 tweets
Apr 23
I simulated 100,000 people to show how often people are "thrice-exceptional": Smart, stable, and exceptionally hard-working.

I've highlighted these people in red in this chart: Image
If you reorient the chart to a bird's eye view, it looks like this: Image
In short, there are not many people who are thrice-exceptional, in the sense of being at least +2 standard deviations in conscientiousness, emotional stability (i.e., inverse neuroticism), and intelligence.

To replicate this, use 42 as the seed and assume linearity and normality
Read 7 tweets
Apr 22
I would like to live in a high-trust society.

The decline of trust is something worth caring about, and reversing it is something worth doing.

We should not have to live constantly wondering if we're being lied to or scammed. Trust should be possible again.
I don't know how we go about regaining trust and promoting trustworthiness in society.

It feels like there's an immense level of toleration of untrustworthy behavior from everyone: scams are openly funded; academics congratulate their fraudster peers; all content is now slop.
What China's doing—corruption crackdowns and arresting fraudsters—seems laudable, and I think the U.S. and other Western nations should follow suit.

Fraud leads to so many lives being lost and so much progress being halted or delayed.

I'm close to being single-issue on this.
Read 6 tweets

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