That was then, this is now, Robin Hanson edition
Robin Hanson, who joined the movement and later became renowned for creating prediction markets, described attending multilevel Extropian parties at big houses in Palo Alto at the time. “And I was energized by them, because they were talking about all these interesting ideas. And my wife was put off because they were not very well presented, and a little weird,” he said. “We all thought of ourselves as people who were seeing where the future was going to be, and other people didn’t get it. Eventually — eventually — we’d be right, but who knows exactly when.”
That is from Keach Hagey’s The Optimist: Sam Altman, OpenAI, and the Race to Invent the Future, which I very much enjoyed. I am not sure Robin’s supply of parties has been increasing out here in northern Virginia…
The military culture that is German
Strict data protection laws are hindering Germany’s efforts to swell the ranks of the armed forces of Europe’s largest nation, its reservists’ association has warned.
Patrick Sensburg, head of the Reservist Association of the German Armed Forces, said tough German and EU privacy rules meant it could not keep in contact with close to a million people who might help boost the country’s reserve forces as it seeks a stronger role in European defence and security.
Sensburg said that when Germany suspended conscription in 2011, it also stopped keeping track of former conscripts.
“We have lost their contacts,” he said in an interview with the Financial Times. “It’s crazy.”
…He said it was absurd that the body responsible for collecting Germany’s annual television fee could contact citizens a few weeks after they had moved house, while he had no way of tracking down people whose names were in the association’s records.
Here is more from the FT, via Shruti.
Affordable Housing Is Almost Pointless
What is the most important feature of affordable housing? Simple! It’s right there in the name, right? Affordable. But no. When the Illinois Housing Development Authority (IHDA) evaluates housing projects for tax credits it gives out points for desirable projects. Quoting Richard Day:
For the general scoring track, 10% of points are awarded for extra accessibility features, 13% are awarded for additional energy efficiency criteria, 15% are awarded based on the makeup of the development team, and an extra 4% are headed out to non-profit developers. Only 3% of scorecard points are awarded based on project cost.
Thus, when you look at what the affordable housing authority actually does it awards more than four times as many points to energy efficiency than cost which ultimately determines affordability and availability. “Development team” includes some mandatory requirements for experience, which makes sense, but also:
(a) incentivizing Black, Indigenous, or People of Color (“BIPOC”) and minority participation on the development team,
Indeed, a for-profit “certified” BIPOC-led business can earn up to 11 points (and a BIPOC-led non-profit up to 7 points) and you can get a few more points if you go the intersectionality route and have a certified female headed BIPOC team. Cost Containment in Project Design & Construction tops out at only 3 points (plus there are 8 more potential points for targeting to extremely poor residents which presumably also gets you some cost control).
Thus, rather than affordable housing what is actually being incentivized is some combination of:
- Racial equity goals
- Environmental sustainability
- Community development
- Supporting vulnerable populations
- Universal design for accessibility (7 points for going beyond code)
This is what Ezra Klein calls Everything Bagel Liberalism and what I called in one of my favorite posts the Happy Meal Fallacy.
The icing on the cake, by the way, is that Day argues that the IHDA is a better system than the even more convoluted and expensive system for affordable housing promoted by Chicago’s Department of Housing.
Hat tip: Ben Krauss writing at Slow Boring.
Tuesday assorted links
1. Berlin cybermarkets in everything ugh.
2. o3 list of nuanced, rigorous thinkers.
4. How much does overconfidence drive conspiracy theorizing?
5. Are the Nordics backpedling on their plans for a cashless society?
7. UAE will offer free ChatGPTPlus to all of its citizens. And Korea fact of the day: “ChatGPT’s growth here has been off the charts—weekly users grew over 4.5x last year, and Korea is now our top country for paid subscribers after the US!”
8. Marina von Neumann Whitman, RIP.
9. MIE: audiobook for Reasons and Persons (!).
USA employment facts of the day
According to the Federal Reserve Bank of New York, the college majors with the lowest unemployment rates for the calendar year 2023 were nutrition sciences, construction services, and animal/plant sciences. Each of these majors had unemployment rates of 1% or lower among college graduates ages 22 to 27. Art history had an unemployment rate of 3% and philosophy of 3.2%…
Meanwhile, college majors in computer science, chemistry, and physics had much higher unemployment rates of 6% or higher post-graduation. Computer science and computer engineering students had unemployment rates of 6.1% and 7.5%, respectively…
Here is the full story. Why is this? Are the art history majors so employable? Or are their options so limited they don’t engage in much search and just take a job right away?
Via Rich Dewey.
Monday assorted links
1. Lydia Laurenson.
3. “But the lawsuit claimed the NYT’s original story had “portrayed the Marubo people as a community unable to handle basic exposure to the internet, highlighting allegations that their youth had become consumed by pornography”.” Link here. This likely means the tribe is overall happy to have the internet connection, right?
4. “His primary message for those people, he told me, is that “theocracy” isn’t a scary concept.”
5. “Canada has more measles cases right now than any other country in the Americas.”
7. A veo 3 video.
New data on the political slant of AI models
By Sean J. Westwood, Justin Grimmer, and Andrew B. Hall:
We develop a new approach that puts users in the role of evaluator, using ecologically valid prompts on 30 political topics and paired comparisons of outputs from 24 LLMs. With 180,126 assessments from 10,007 U.S. respondents, we find that nearly all models are perceived as significantly left-leaning—even by many Democrats—and that one widely used model leans left on 24 of 30 topics. Moreover, we show that when models are prompted to take a neutral stance, they offer more ambivalence, and users perceive the output as more neutral. In turn, Republican users report modestly increased interest in using the models in the future. Because the topics we study tend to focus on value-laden tradeoffs that cannot be resolved with facts, and because we find that members of both parties and independents see evidence of slant across many topics, we do not believe our results reflect a dynamic in which users perceive objective, factual information as having a political slant; nonetheless, we caution that measuring perceptions of political slant is only one among a variety of criteria policymakers and companies may wish to use to evaluate the political content of LLMs. To this end, our framework generalizes across users, topics, and model types, allowing future research to examine many other politically relevant outcomes.
Here is a relevant dashboard with results.
China espionage and the Fed
Prosecutors say Rogers was a logical target for Chinese espionage, with an important-sounding title at the Fed and a growing affection for China. In 2018, he married a Shanghainese woman whom he met through a Chinese matchmaking service. FBI agents would later find a note on his iPad, dated December 2018 and addressed to “Dear Chinese People,” in which he expressed admiration for China.
“I love your kindness, your generosity, and your humbly hard working, high-achieving society,” the note said. “I love you unconditionally, Shanghai.”
…In one case in 2019, Chinese authorities allegedly held a Fed economist in a hotel room during a trip to Shanghai and threatened to imprison him unless he agreed to provide nonpublic economic data, according to the Senate committee report. Chinese officials allegedly told him they had been monitoring his phones, including conversations about his divorce, and would publicly humiliate him if he didn’t cooperate. The economist reported the incident to Fed officials after being released, the report said.
China’s Foreign Ministry denounced the report, calling it “political disinformation.”
Here is more from the WSJ. While I do in general have a high opinion of Fed staff, China…I really do not think you can learn very much from these people! Perhaps they can tell you about the Lucas critique.
My visit at Universidad Francisco Marroquin
Again, I had a great time, here is the background I posted not long ago. My hosts sent me these links, note the first two speeches are quite short:
- Speech during the ceremony for honor graduates
- Speech during the graduation ceremony
- Interview: Exploring Free Markets, Innovation, and the Future of Knowledge
- Lecture | The Economics of Artificial Intelligence | Tyler Cowen
- Lecture | The Freedom to Grow: Purpose-Driven Youth in the Age of Ethical Entrepreneurship
Sunday assorted links
1. The rise of causal empirical methods in economics.
2. How to find ancient Assyrian cities using economics.
3. Can a corporation be pardoned?
4. The “dark leisure” theory of AI gains.
5. “In the first quarter of 2025, there were six murders on [South African] farms, of which one was a white farmer and the rest Black people, according to police figures.” FT link.
6. Davies and Farrell criticize crypto (NYT).
You Can See the End of the Great Stagnation Everywhere but in the Productivity Statistics
Eli Dourado continues to keep his eye on the most important number in the world, total factor productivity. It continues to be bad, -3.88% on an annual basis for the first quarter of 2025. It’s too early for Trump’s tariffs to have made an effect and too early for AI.
You can see the end of the great stagnation everywhere but in the productivity statistics.
The 3.5 percent remittance tax
Trump has been talking about this. I am not sure what version of the idea we might end up with, but let’s consider the idea in its abstract form. Let’s also put aside money laundering issues, and talk about “simple remittances.”
The United States has a partial monopsony power over Latino (and often other) migrants, as there are few comparable places to go. Some may switch to Spain, or stay in their home countries, but many will have to pay the tax, though of course they may send less money back home.
If elasticities were zero (unlikely), the US government would pull in 3.5 percent of the relevant flow of remittances. More likely, funds sent will decline, and tax revenue earned will decline as well. The former effect will strengthen the dollar against the Latin currencies, while the latter effect may weaken the dollar through the indirect mechanism of domestic output being lower. I think most economists would expect the dollar to strengthen on net, as in essence the tax makes it costlier to sell dollars. (As a side effect, the tax might accelerate a transition to weirder, harder to tax forms of crypto?)
So US exporters suffer a modest amount from the stronger USD, and US consumers gain from modestly cheaper imports. Family members back home in the receiving countries are worse off, as they are receiving less in terms of real transfers, due to the tax.
It is less clear how much the receiving countries are worse off on net. This is easiest to see in the case of El Salvador, which has dollarized. If fewer remittances are sent to El Salvador, other dollar holders in the country may be better off. In this regard remittances have a partial zero-sum component. It is not right to say they are purely zero-sum, because the remittance is “the market” sending funds to where the demand to hold those funds is highest, and furthermore El Salvador as a whole has greater net command over imports. Still, from another point of view it is a kind of domestic inflation for El Salvador and it taxes their cash balance holders.
In any case, you also can think of this as a funny, quite indirect way of auctioning off the right to come and send money back to your family. Gary Becker once suggested a more direct auction of entry rights, an idea broadly popular with many economists. This particular form of the auction maintains an ongoing tax on the margin, rather than a once and for all payment up front, and thus might involve higher distortions. (on the other hand it eases credit constraints, since you do not pay up front) As a side note, this particular form of the auction mechanism also might discourage most of all the more altruistic and family-oriented migrants to a modest degree, or encourage some to try harder to bring their families with them. Those could be pretty small effects, but substitution effects are always worth noting.
As someone with broadly libertarian sympathies, I am strongly opposed to this tax. I think often the best way to analyze a tax is not with traditional deadweight loss tools, but rather to ask “does this allow the government to get its paws on a whole new source of revenue?” If it does, be very suspicious.
But if you are not libertarian in that manner, I do not see why you should hate this tax. It harms migrants and their relatives back home, but without necessarily harming those countries on net. And international trade economics, and economics more generally, has a long tradition of “nationalistic” points of view that focus on maximizing domestic welfare, not global welfare. I see those pop up all the time — for decades — without people screaming bloody murder (I am myself more Parfitian on these issues of course.)
Most Democrats I know really want to raise taxes. Many centrists feel the same way, though perhaps less strongly. So why should they hate this tax hike so much? My views on taxes differ, though I recognize that sometimes you have to raise taxes.
I think, at least in this case, that the broadly libertarian principles are the relevant factor here. I do not want the US federal government getting its paws on remittances as a revenue source. In turn, I hope other opponents of this policy — and I suspect there will be many — join me and become slightly more libertarian, and slightly more willing to focus on the question “does this allow the government to get its paws on a whole new source of revenue?”
We will see.
New results on Facebook advertising
There has been so much misinformation about this topic, much of it still persists. Here is a new paper by many researchers, Hunt Allcott and Matt Gentzkow are the first two names. Here is the abstract:
We study the effects of social media political advertising by randomizing subsets of 36,906 Facebook users and 25,925 Instagram users to have political ads removed from their news feeds for six weeks before the 2020 US presidential election. We show that most presidential ads were targeted toward parties’ own supporters and that fundraising ads were most common. On both Facebook and Instagram, we found no detectable effects of removing political ads on political knowledge, polarization, perceived legitimacy of the election, political participation (including campaign contributions), candidate favorability, and turnout. This was true overall and for both Democrats and Republicans separately.
Here is the full link.
Saturday assorted links
1. Who benefits from Uber surge pricing?
2. The Way of Code, a new on-line product, some might call it a book, adapted by Rick Rubin and based on Lao Tzu.
3. What is wrong with Sanskrit?
4. Price quiz for auctioned artworks (NYT). I do not find this to be the reductio the NYT seems to think it is. By the way, the Dumas I do not like and it is not such a great Baselitz. The Joan Mitchell is clearly better than the Hans Hoffman, pity to those who cannot see that.
5. It seems there are no actual signs of life on that distant planet (NYT).
Digital tech sentences to ponder
The first generation who engaged with digital technologies has reached the age where risks of dementia emerge. Has technological exposure helped or harmed cognition in digital pioneers?
…Use of digital technologies was associated with reduced risk of cognitive impairment (OR = 0.42, 95% CI 0.35–0.52) and reduced time-dependent rates of cognitive decline (HR = 0.74, 95% CI 0.66–0.84). Effects remained significant when accounting for demographic, socioeconomic, health and cognitive reserve proxies.
So maybe digital tech is not so bad for us after all? You do not have to believe the postulated relatively large effects, as the more likely conclusion is simply that, as in so many cases, treatment effect in the social sciences are small. That is from a recent paper by Jared F. Benge and Michael K. Scullin. Via the excellent Kevin Lewis.