The US Leads the World in Robots (Once You Count Correctly)

If you search for data on robots you will quickly find data from the International Federation of Robotics which places South Korea in the lead with ~818 robots per 10,000 manufacturing workers, followed by China, Japan, Germany and finally at 10th place the US at ~304 robots per 10,000. The IFR, however, misses the most sophisticated, impressive and versatile robots, namely Teslas with FSD capability. Teslas see the world, navigate complex environments, move tons of metal at high speeds and must perform at very high levels of tolerance and safety. If you included Teslas as robots, as you should, the US leaps to the top.

Moreover, once you understand Teslas as robots, Optimus, Tesla’s humanoid robot division, stops being a quixotic Elon side-project and becomes the obvious continuation of Tesla’s core work.

Stories Beyond Demographics

The representation theory of stories, where the protagonist must mirror my gender, race, or sexuality for me to find myself in the story, offers a cramped view of what fiction can do and a shallow account of how it actually works. Stories succeed not through mirroring but by revealing human patterns that cut across identity. Archetypes like Hero, Caregiver, Explorer, and Artist, and structures like Tragedy, Romance, and Quest are available to everyone. That is why a Japanese salaryman can love Star Wars despite never having been to space or met a Wookie and why an American teenager can recognize herself in a nineteenth-century Russian novel.

Tom Bogle makes this point well in a post on Facebook:

I have no issue with people wanting representation of historically marginalized people in stories. I understand that people want to “see themselves” in the story.

But it is more important to see the stories in ourselves than to see ourselves in the stories.

When we focus on the representation model, we recreate a character to be an outward representation of physical traits. Then the internal character traits of that individual become associated with the outward physical appearance of the character and we pigeonhole ourselves into thinking that we are supposed to relate only to the character that looks like us. Movies and TV shows have adopted the Homer Simpson model of the aloof, detached, and even imbecilic father, and I, as a middle-aged cis het white guy with seven kids could easily fall into the trap of thinking that is the only character to whom I can relate. It also forces us to change the stories and their underlying imagery in order to fit our own narrative preferences, which sort of undermines the purpose for retelling an old story in the first place.

The archetypal model, however, shifts our way of thinking. Instead of needing to adapt the story of Little Red-Cap (Red Riding Hood) to my own social and cultural norms so that I can see myself in the story, I am tasked with seeing the story play out in myself. How am I Riding Hood? How am I the Wolf? How does the grandmother figure appear in me from time to time? Who has been the Woodsman in my life? How have I been the Woodsman to myself or others? Even the themes of the story must be applied to my patterns of behavior or belief systems, not simply the characters. This model also enables us to retain the integrity of the versions of these stories that have withstood the test of time.

So if your goal is actually to affect real social change through stories, I would encourage you to consider how the archetypal approach may actually be more effective at accomplishing your aims than the representational approach alone (as they are not necessarily in conflict with one another).

Why Some US Indian Reservations Prosper While Others Struggle

Our colleague Thomas Stratmann writes about the political economy of Indian reservations in his excellent Substack Rules and Results.

Across 123 tribal nations in the lower 48 states, median household income for Native American residents ranges from roughly $20,000 to over $130,000—a sixfold difference. Some reservations have household incomes comparable to middle-class America. Others face persistent poverty.

Why?

The common assumption: casino revenue. The data show otherwise. Gaming, natural resources, and location explain some variation. But they don’t explain most of it. What does? Institutional quality.

The Reservation Economic Freedom Index 2.0 measures how property rights, regulatory clarity, governance, and economic freedom vary across tribal nations. The correlation with prosperity is clear, consistent, and statistically significant. A 1-point improvement in REFI—on a 0-to-13 scale—correlates with approximately $1,800 higher median household income. A 10-point improvement? Nearly $18,000 more per household.

Scatter plot showing positive correlation between Reservation Economic Freedom Index scores (0-13 scale) and median Native American household income. Each blue dot represents one reservation. Red trend line shows approximately $1,783 higher income per REFI point. Chart shows 120 reservations after excluding 3 outliers. Income ranges from $20,000 to $100,000.

Many low-REFI features aren’t tribal choices—they’re federal impositions. Trust status prevents land from being used as collateral. Overlapping federal-state-tribal jurisdiction creates regulatory uncertainty. BIA approval requirements add months or years to routine transactions. Complex jurisdictional frameworks can deter investment when the rules governing business activity, dispute resolution, and enforcement remain unclear.

This is an important research program. In addition to potentially improving the lives of native Americans, the 123 tribal nations are a new and interesting dataset to study institutions.

See the post for more details amd discussion of causality. A longer paper is here.

AEA: Honoring Milton Friedman

Looks like a good AEA session on Sunday in Philly:

Honoring Milton Friedman on his 50th Anniversary of Winning the Nobel Prize”

Mark Skousen: “My Friendly Fights with Milton Friedman”
Jeremy Siegel: “Milton Friedman’s contributions to financial markets and the influence of money on the business cycle.”
James K. Galbraith: “Milton Friedman’s Critique of Keynesian Economics and Fiscal Policy: A Response”
Michael Bordo: “The Future of Monetarism After Friedman: What Works, What Doesn’t.”
Judy Shelton: “Milton Friedman and Robert Mundell: Who Won the Nobel Money Duel?”

To be held Sunday Jan. 4, 8-10 am ET at the Philadelphia Marriott Hotel, Grand Ballroom Salon B.

Autism Hasn’t Increased

Autism diagnoses have increased but only because of progressively weaker standards for what counts as autism.

The autistic community is a large, growing, and heterogeneous population, and there is a need for improved methods to describe their diverse needs. Measures of adaptive functioning collected through public health surveillance may provide valuable information on functioning and support needs at a population level. We aimed to use adaptive behavior and cognitive scores abstracted from health and educational records to describe trends over time in the population prevalence of autism by adaptive level and co-occurrence of intellectual disability (ID). Using data from the Autism and Developmental Disabilities Monitoring Network, years 2000 to 2016, we estimated the prevalence of autism per 1000 8-year-old children by four levels of adaptive challenges (moderate to profound, mild, borderline, or none) and by co-occurrence of ID. The prevalence of autism with mild, borderline, or no significant adaptive challenges increased between 2000 and 2016, from 5.1 per 1000 (95% confidence interval [CI]: 4.6–5.5) to 17.6 (95% CI: 17.1–18.1) while the prevalence of autism with moderate to profound challenges decreased slightly, from 1.5 (95% CI: 1.2–1.7) to 1.2 (95% CI: 1.1–1.4). The prevalence increase was greater for autism without co-occurring ID than for autism with co-occurring ID. The increase in autism prevalence between 2000 and 2016 was confined to autism with milder phenotypes. This trend could indicate improved identification of milder forms of autism over time. It is possible that increased access to therapies that improve intellectual and adaptive functioning of children diagnosed with autism also contributed to the trends.

The data is from the US CDC.

Hat tip: Yglesias who draws the correct conclusion:

Study confirms that neither Tylenol nor vaccines is responsible for the rise in autism BECAUSE THERE IS NO RISE IN AUTISM TO EXPLAIN just a change in diagnostic standards.

Earlier Cremieux showed exactly the same thing based on data from Sweden and earlier CDC data.

Happy New Year. This is indeed good news, although oddly it will make some people angry.

Top Posts of 2025

Here are the top MR posts of 2025 as measured by page views. Number one post goes to Tyler:

  1. Trumpian policy as cultural policy.

An excellent post that pairs well with another Tyler post, also in the top ten, A median voter theory of right-wing populism which has the punchline:

The right-wing populists are gaining ground in so many countries because the cultural liberals in various parliaments and congresses are extremely reluctant to meet the preferences of their median voters.

Number two was also a Tyler post. Why I think AI take-off is relatively slow, an excellent accounting of AI economic and institutional bottlenecks. This pairs well with another top-ten post in which Tyler announces that AGI is already here. Both posts are correct. An interesting conundrum.

Third and fourth are two of my posts:

3. UCSD Faculty Sound Alarm on Declining Student Skills

4. One-Third of US Families Earn Over $150,000

Next is Tyler’s rundown of non-fiction books. Well worth re-reading.

5. Best non-fiction books of 2025 with one late addition.

Next I was pleased to see my post in which I explain some standard economics but in a deeper, more fundamental way than is usually done: One of my favorite posts of the year:

Why Do Domestic Prices Rise With Tariffs?

Zephyr Teachout’s op-ed wasn’t fun to read but I admit I did have some fun writing a response

Gross(ery) Confusion

Here’s another issue which makes me mad. The destruction of boarding houses, a perfectly reasonable housing form that reduces homelessness. Or to put it more simply, why is sharing a house illegal? Outrageous.

The War on Roommates: Why Is Sharing a House Illegal?

I am all for American greatness but the approach of the Trump administration is often backwards. I pointed out the big differences between the Sputnik moment and what I called the DeepSeek Moment in two posts.

The Sputnik vs. DeepSeek Moment: Why the Difference? and The Sputnik vs. Deep Seek Moment: The Answers.

I was pleased that David Brooks picked up on my framing in the NYTimes.

Finally my post The Library Burned Slowly sparked a brief spat with Chris Rufo. Rufo’s ability to turn the tools of the left on them is impressive but I haven’t changed my mind that “Bludgeoning your enemies is fun while it lasts but you can’t bludgeon your way to a civilization.”

What were your favorite posts of the year, either at MR or elsewhere?

The Hainan Free Trade Port

Earlier I wrote about China’s Libertarian City, Boao Hope City (officially the Boao Lecheng International Medical Tourism Pilot Zone), China’s first special economic zone for advanced healthcare. Boao Hope City is following the peer approval model I have long argued for:

Daxue: Medical institutions within the zone can import and use pharmaceuticals and medical devices already available in other countries as clinically urgent items before obtaining approval in China. This allows domestic patients to access innovative treatments without the need to travel abroad…. The medical products to be used in the pilot zone must possess a CE mark, an FDA license, or PMDA approval, which respectively indicate that they have been approved in the European Union, the US, and Japan for their safe and effective use.

Boao Hope City is part of the larger Hainan Free Trade Zone. Hainan is a large island off China’s Southern Coast, often called the Hawaii of China. The entire island is being turned into the world’s largest free trade zone. As of Dec. 18, 2025, Hainan now boasts:

  • Expanded “Zero-Tariff” Coverage…“zero-tariff” eligible goods expand from about 1,900 to approximately 6,600 tariff lines, increasing coverage from 21% to 74% of total import/export items, encompassing most production equipment and raw materials. This exemption applies to import tariffs, import VAT, and consumption tax, potentially saving enterprises about 20% in tax costs on imported equipment.
  • Optimized “Tariff Exemption for Value-added Processing” Policy: One of the most transformative measures, this policy sees significantly relaxed restrictions (e.g., on core business income ratios) and now allows cumulative value-added calculation across upstream and downstream enterprises. This makes it easier for businesses to meet the “over 30% value-added” threshold for tariff exemption when selling finished products into the mainland market. Companies can ship primary products or components to Hainan for substantial processing; if the value-added meets the standard, the final products can enter the mainland market tariff-free.
  • “Dual 15%” Tax Incentives as a Long-term Advantage: Encouraged industries registered and substantively operating in the Hainan FTP enjoy a reduced 15% corporate income tax rate. Eligible high-end and in-demand talents benefit from an individual income tax exemption for the portion exceeding 15%, providing long-term, stable fiscal predictability.
  • Enhanced Trade and Investment Liberalization/Facilitation: Measures include implementing a negative list for cross-border trade in services, relaxing foreign investment access, adopting a “commitment-based registration system” for business setup, and streamlining procedures. A visa-free policy for nationals of 59 countries is in effect, with further eased entry-exit restrictions for business personnel.

Three that Made a Revolution

Another excellent post from Samir Varma, this time on the 1991 reforms in India that launched India’s second freedom movement:

Three men you’ve probably never heard of—P.V. Narasimha Rao, Manmohan Singh, Montek Singh Ahluwalia—may be the three most important people of the late 20th century.

Bold claim. Audacious, even. Let me defend it.

Here are the numbers. In 1991, over 45% of Indians lived below the poverty line—roughly 400 million people. By 2024, extreme poverty in India had fallen to under 3%.

That’s 400 to 500 million people lifted out of poverty.

The largest democratic poverty alleviation in human history.

….So there they stood.

The precipice was visible. A Hindu politician from a dusty village in Telangana who spoke 17 languages and wrote novels nobody wanted to read. A Sikh economist from a village that no longer existed, who took cold showers at Cambridge and kept dried fruits in his pockets. Another Sikh economist who’d been the youngest division chief in World Bank history and wrote a memo that would change a country.

Three men. All products of a civilization that absorbs contradictions—that somehow fits Hindus and Sikhs and Muslims and Christians and Jains and Buddhists and Parsis into one impossibly diverse democracy. A civilization where, as I’ve written before, any statement you make is true, AS IS its opposite.

India was bankrupt. The gold was gone. The Soviet model they’d followed for forty years was collapsing in real time. Every assumption that had guided Indian economic policy since independence was being revealed as catastrophically wrong.

The intelligentsia still believed in socialism. The party cadres still worshipped Nehru’s memory. The opposition would scream about selling out to foreign powers. The bureaucracy would resist losing its control. The protected industries would fight to keep their monopolies.

But the three men had something their opponents didn’t: a plan. The M Document—the years of thinking—the technocratic expertise accumulated across decades. They had political cover—Rao’s tactical genius, his willingness to let Singh take the heat while he worked the back channels. They had credibility—Singh’s Cambridge pedigree, Ahluwalia’s World Bank experience, Rao’s decades of political survival.

And they had something else: the crisis itself. The one thing that could break through forty years of socialist inertia. The emergency that made the previously impossible suddenly necessary.

Varma tells the story well. For the full history consult the indispensable The 1991 Project, full of documents, oral histories and interviews.

Hat tip: Naveen Nvn.

Bring Back the Privateers!

Senator Mike Lee has a new bill that encourages the President to authorize letters of marque and reprisal against drug cartels:

The President of the United States is authorized and requested to commission, under officially issued letters of marque and reprisal, so many of privately armed and equipped persons and entities as, in the judgment of the President, the service may require, with suitable instructions to the leaders thereof, to employ all means reasonably necessary to seize outside the geographic boundaries of the United States and its territories the person and property of any individual who the President determines is a member of a cartel, a member of a cartel-linked organization, or a conspirator associated with a cartel or a cartel-linked organization, who is responsible for an act of aggression against the United States.

SECURITY BONDS.—No letter of marque and reprisal shall be issued by the President without requiring the posting of a security bond in such amount as the President shall determine is sufficient to ensure that the letter be executed according to the terms and conditions thereof.

My paper on privateers explains how privateers were historically very successful. During the War of 1812, roughly 500 privateers operated alongside a tiny U.S. Navy. The market responded swiftly—privateers like the Comet were commissioned within days of war’s declaration and began capturing prizes within weeks. Sophisticated institutional design combined combined profit incentives with regulatory constraints:

  • Security bonds ensured compliance with license terms
  • Detailed instructions protected neutral vessels and required civilized conduct
  • Prize courts adjudicated captures and distinguished privateers from pirates
  • Share-based compensation created good incentives for crews
  • Markets emerged where crew could sell shares forward (with limits to maintain work incentives)

Privateers cost the government essentially nothing compared to building and maintaining a navy. Private investors financed vessels , bore the risks, and operated on profit-seeking principles. Moreover, privateers unlike Navy vessels had incentives to capture enemy ships, particularly merchant ships, not just blow them and their occupants out of the water. Of course, capturing the drugs isn’t very useful but it’s quite possible to go after the money on the return journey–privateers as hackers–which is just as good.

Here is my paper on privateering, here is the time I went bounty hunting in Baltimore, here is work on the closely related issue of whistleblowing rewards and here is the excellent historian Mark Knopfler on privateering:

Rent Control Creates Ghost Apartments

Adam Lehodey writing at City Journal:

In New York City, making a profit on real estate has become increasingly difficult. Rent-stabilization laws built on the mantra that “housing is a human right,” a dysfunctional housing court, and myriad other interventions have driven thousands of units off the market, giving rise to the phenomenon of New York’s “ghost apartments.”

The city now has nearly 50,000 empty units, absent from the market either because their operating costs exceed legal rents or because they require considerable renovations.

…Take a building on East 6th Street as an example. A mere five-minute walk from Tompkins Square, the building is a convenient home for students and young professionals.

One-bedroom units in the building average $3,500— except two of them, subject to the city’s rent-stabilization laws, which hold rents below $900 per month.

As a result, both units have been allowed to fall into disrepair, because the cost of restoring them to habitability is greater than what they’d generate in rent.

…Much of the predicament at the East 6th Street building and the apartments on Valentine Avenue can be traced back to one piece of legislation: the 2019 Housing Stability and Tenant Protection Act (HSTPA). Passed by a Democratic majority in the state legislature, HSTPA eliminated landlords’ abilities to raise rents after units were vacated, or when they exceeded $2,775 per month. In doing so, it also eliminated their ability to make improvements profitably and reset the stabilized rent.

Recall from the recent review by Kholodilin that “the published studies are almost unanimous with respect to the impact of rent control on the quality of housing….[namely] that rent control leads to a deterioration in the quality of those dwellings subject to regulations.”

Robot Lab

Google’s Deep Mind Lab is going to build a materials science lab in the UK, manned by robots and humans:

To help turbocharge scientific discovery, we will establish Google DeepMind’s first automated laboratory in the UK in 2026, specifically focused on materials science research. A multidisciplinary team of researchers will oversee research in the lab, which will be built from the ground up to be fully integrated with Gemini. By directing world-class robotics to synthesize and characterize hundreds of materials per day, the team intends to significantly shorten the timeline for identifying transformative new materials.

This is a very big deal. Gemini won’t just read papers. It will design the experiments, run the experiments, learn from the successes and failures and then recursively improve. It’s an attempt to learn the game of material science in the same way AlphaGo learned the game of Go.

Growth Matters

Between 2011 and 2023 India’s GDP per capita grew at a rate of about 4.8% per year so in those 12 years GDP per capita, a good measure of the standard of living, nearly doubled (77%). Shamika Ravi and Sindhuja Penumarty look at what this means on the ground.

The percentage of the budget spent on food has declined–dropping below 50% for the first time ever–and that has enabled significant purchases of consumer durables.

It will perhaps not be surprising that mobile phones have become universal among both the poor and the rich but vehicle ownership is also converging with rural ownership of a vehicle (2 or 4 wheeler) nearly tripling from (19% to 59%).

Another standout is refrigerators which reflects growing income and reliable electricity. In the 12 years across the survey, refrigerator ownership in rural areas more than tripled from 9.4% circa 2011 to 33.2% in 2023. In urban areas refrigerator ownership went from less than half (43.8%) to more than two-thirds (68.1%) of urban households. Overall, only two states Bihar (37.1%) and Odisha (46.3%), had less than 50% of urban households owning a refrigerator in 2023-24.

Economists are often accused of “line go up” thinking but the truth is that line go up matters. The 4.8% annual growth matters because it shows up as a broad, visible upgrade in how people live.

Gans and Doctorow on AI Copyright

Josh Gans had written what I think is the first textbook of AI. Instead of the “big issues” like will AI result in the singularity or the end of the human race, Gans treats AI as a tool for improving predictions. What will better predictions do in legal markets, economic markets, political markets? He generally avoids conclusions and instead explores models of thinking.

I especially enjoyed the chapter on intellectual property rights which maps out a model for thinking about copyright in training and in production, how they interact and the net costs and benefits.

Gans’s chapter usefully pairs with Cory Doctorow’s screed on AI. It’s a great screed despite being mostly wrong. I did like this bit, however:

Creative workers who cheer on lawsuits by the big studios and labels need to remember the first rule of class warfare: things that are good for your boss are rarely what’s good for you.

…When Getty Images sues AI companies, it’s not representing the interests of photographers. Getty hates paying photographers! Getty just wants to get paid for the training run, and they want the resulting AI model to have guardrails, so it will refuse to create images that compete with Getty’s images for anyone except Getty. But Getty will absolutely use its models to bankrupt as many photographers as it possibly can.

…Demanding a new copyright just makes you a useful idiot for your boss, a human shield they can brandish in policy fights, a tissue-thin pretense of “won’t someone think of the hungry artists?…

We need to protect artists from AI predation, not just create a new way for artists to be mad about their impoverishment.

And incredibly enough, there’s a really simple way to do that. After 20+ years of being consistently wrong and terrible for artists’ rights, the US Copyright Office has finally done something gloriously, wonderfully right. All through this AI bubble, the Copyright Office has maintained – correctly – that AI-generated works cannot be copyrighted, because copyright is exclusively for humans. That’s why the “monkey selfie” is in the public domain. Copyright is only awarded to works of human creative expression that are fixed in a tangible medium.

And not only has the Copyright Office taken this position, they’ve defended it vigorously in court, repeatedly winning judgments to uphold this principle.

The fact that every AI created work is in the public domain means that if Getty or Disney or Universal or Hearst newspapers use AI to generate works – then anyone else can take those works, copy them, sell them, or give them away for free. And the only thing those companies hate more than paying creative workers, is having other people take their stuff without permission.

The US Copyright Office’s position means that the only way these companies can get a copyright is to pay humans to do creative work. This is a recipe for centaurhood. If you’re a visual artist or writer who uses prompts to come up with ideas or variations, that’s no problem, because the ultimate work comes from you. And if you’re a video editor who uses deepfakes to change the eyelines of 200 extras in a crowd-scene, then sure, those eyeballs are in the public domain, but the movie stays copyrighted.

AI should not have to pay to read books any more than a human. At the same time, making AI created works non-copyrightable is I think the right strategy at the present moment. Moreover, it’s the most practical suggestion I have heard for channeling AI in a more socially beneficial direction, something Acemoglu has discussed without much specificity.