The Cows in the Coal Mine

I remain stunned at how poorly we are responding to the threat from H5N1. Our poor response to COVID was regrettable but perhaps understandable given the US hadn’t faced a major pandemic in decades. Having been through COVID, however, you would think that we would be primed. But no. Instead of acting aggressively to stop the spread in cows we took a gamble that avian flu would fizzle out. It didn’t. California dairy herds are now so awash in flu that California has declared a state of emergency. Hundreds of herds across the United States have been infected.

I don’t think we are getting a good picture of what is happening to the cows because we don’t like to look too closely at our food supply. But I reported in September what farmers were saying:

The cows were lethargic and didn’t move. Water consumption dropped from 40 gallons to 5 gallons a day. He gave his cows aspirin twice a day, increased the amount of water they were getting and gave injections of vitamins for three days.

Five percent of the herd had to be culled.

“They didn’t want to get up, they didn’t want to drink, and they got very dehydrated,” Brearley said, adding that his crew worked around the clock to treat nearly 300 cows twice a day. “There is no time to think about testing when it hits. You have to treat it. You have sick cows, and that’s our job is to take care of them.”

Here’s another report from a vet:

…the scale of the farmers’ efforts to treat the sick cows stunned him. They showed videos of systems they built to hydrate hundreds of cattle at once. In 14-hour shifts, dairy workers pumped gallons of electrolyte-rich fluids into ailing cows through metal tubes inserted into the esophagus.

“It was like watching a field hospital on an active battlefront treating hundreds of wounded soldiers,” he said.

Here’s Reuters:

Cows in California are dying at much higher rates from bird flu than in other affected states, industry and veterinary experts said, and some carcasses have been left rotting in the sun as rendering plants struggle to process all the dead animals.

…Infected herds in California are seeing mortality rates as high as 15% or 20%, compared to 2% in other states, said Keith Poulsen, a veterinarian and director of the Wisconsin Veterinary Diagnostic Laboratory who has researched bird flu.

The California Department of Food and Agriculture did not respond to questions about the mortality rate from bird flu.

Does this remind you of anything? Must we wait until the human morgues are overrun?

The case fatality rate for cows appears to be low but significant, perhaps 2%. A small number of pigs have also been infected. On the other hand, over 100 million chickens, turkeys and ducks have been killed or culled.

There have now been 66 cases in humans in the US. Moreover, the CDC reports that in at least one case the virus appears to have evolved within its human host to become more infectious. We don’t know that for sure but it’s not good news. Recall that in theory a single mutation will make the virus much more capable of infecting humans.

When I wrote on December 1 that A Bird Flu Pandemic Would Be One of the Most Foreseeable Catastrophes in History Manifold Markets was predicting a 9% probability of greater than 1 million US human cases in 2025. Today the prediction is at 20%.

Once again, we may get lucky and that is still the way to bet but only the weak rely on luck. Strong civilizations don’t pray for luck. They crush the bugs. So far, we are not doing that.

Happy new year.

Top MR Posts of 2024!

The number one post this year was Tyler’s The changes in vibes — why did they happen? A prescient post and worth a re-read. Lots of quotable content that has become conventional wisdom after the election:

The ongoing feminization of society has driven more and more men, including black and Latino men, into the Republican camp. The Democratic Party became too much the party of unmarried women.

The Democrats made a big mistake going after “Big Tech.” It didn’t cost them many votes, rather money and social capital. Big Tech (most of all Facebook) was the Girardian sacrifice for the Trump victory in 2016, and all the Democrats achieved from that was a hollowing out of their own elite base.

Biden’s recent troubles, and the realization that he and his team had been running a con at least as big as the Trump one. It has become a trust issue, not only an age or cognition issue.

I would also pair this with two other top Tyler posts, I’m kind of tired of this in which Tyler bemoans the endless gaslighting. Tyler is (notoriously!) open-minded and reluctant to criticize others, so this was a telling signal. See also How we should update our views on immigration in which Tyler notes that serious studies on the benefits and costs of immigration are quite positive but:

…voters dislike immigration much, much more than they used to. The size of this effect has been surprising, and also the extent of its spread…Versions of this are happening in many countries, not just a few, and often these are countries that previously were fairly well governed.

…Politics is stupider and less ethical than before, including when it comes immigration…We need to take that into account, and so all sorts of pro-migration dreams need to be set aside for the time being

In short if  you were reading MR and Tyler you would have a very good idea of what was really going on in the country.

The second biggest post of the year was my post, Equality Act 2010 on Britain’s descent into the Orwellian madness of equal pay for “equal” work. It’s a very good post but it wrote itself since the laws are so ridiculous. Britain has not recovered from woke. Relatedly, Britain’s authoritarian turn on free speech remains an under-reported story. I worry about this.

Third, was my post The US Has Low Prices for Most Prescription Drugs a good narrative violation. Don’t fail the marshmallow test!

Fourth was another from me, No One’s Name Was Changed at Ellis Island.

Fifth, the sad Jake Seliger is Dead.

Sixth, I’m kind of tired of this, as already discussed.

Seventh was What is the Best-Case Scenario for a Trump Presidency? Rhetorically Trump isn’t following the script I laid out but in terms of actual policy? Still room for optimism.

Eighth was Tyler’s post Taxing unrealized capital gains is a terrible idea; pairs well with my post Taxing Unrealized Capital Gains and Interest Rate Policy.

Ninth, Venezuela under “Brutal Capitalism”, my post on the insane NYTimes piece arguing that Venezuela is now governed by “brutal capitalism” under Maduro’s United Socialist Party!

Tenth, Tyler’s post Who are currently the most influential thinkers/intellectuals on the Left? More than one person on this list now looks likes a fraud.

Your favorite posts of the year?

Steve Davis, Elon Musk’s Go-To Cost-Cutter Is Working for DOGE

A Bloomberg profile of the excellent Steve Davis:

Elon Musk’s deputy Steve Davis has spent more than 20 years helping the billionaire cut costs at businesses like SpaceX, the Boring Company and Twitter ….[now] Davis is helping recruit staff at DOGE, Musk’s effort to reduce government waste, in addition to his day job as president of Musk’s tunneling startup, the Boring Company.

At Boring, Davis has a reputation for frugality, signing off on costs as low as a few hundred dollars, according to people familiar with the conversations — unusual for a company that has raised about $800 million in capital. He also drives hard bargains with suppliers of products like raw steel, sensors, or even items as small as hose fittings, said the people, who asked not to be identified discussing private information.

His favorite directive for staff doing the negotiations: “Go back and ask again.”

…Davis started working for Musk in 2003, when he joined SpaceX, at the time a new company. He had just earned a master’s degree in aerospace engineering from Stanford University, and distinguished himself at the startup by solving hard engineering problems. At one point, Musk tasked the engineer with finding a cheaper alternative to a part that cost $120,000. Davis spent weeks on the challenge and figured out how to do it for $3,900, according to a biography of Musk. (Musk emailed back one word: “Thanks.”)

…Multitasking has proved a Davis signature, dating back to his student days. While he was working on his doctorate in economics at George Mason University in Fairfax, Virginia, Davis was working full time at SpaceX and owned a frozen-yogurt shop called Mr. Yogato in Washington’s Dupont Circle. Alex Tabarrok, one of Davis’ professors, remembers him juggling the multiple roles.

“I told him, ‘Look, you’re getting a Ph.D., you can’t be having a job and running a business at the same time,” Tabarrok recalls. “Focus on getting your Ph.D.”

But Davis declined to give up any of his pursuits, at one time incorporating business trends at Mr. Yogato into an academic paper and bringing some yogurt into class for sampling. Tabarrok can’t recall Davis’ grades, but says he stood out anyway. He “had so much energy, and was so entrepreneurial,” Tabarrok says. “It’s been kind of exciting to see him become one of Elon’s most trusted right-hand men.”

Davis’s GMU training in political economy will serve him very well in Washington.

See also my previous post, an MR classic, Why We Can’t Have Nice Things–Elon Musk and the Subways.

Addendum: 2013 profile of Steve and another of his businesses, Thomas Foolery a bar in DC where you paid for drinks according to plinko. Hat tip: Kevin Lewis.

The New FDA and the Regulation of Laboratory Developed Tests

The FDA under President Trump and new FDA head Martin Makary should rapidly reverse the FDA’s powergrab on laboratory developed tests. To recap, laboratory developed tests (LDTs) are the kind your doctor orders, they are a service not a product and are not sold directly to patients. Congress has never given the FDA the authority to regulate LDTs. Indeed, in 2015, Paul Clement, the former US Solicitor General under George W. Bush, and Laurence Tribe, a leading liberal constitutional lawyer, wrote an article that rejected the FDA’s claims writing that the “FDA’s assertion of authority over laboratory-developed testing services is clearly foreclosed by the FDA’s own authorizing statute” and “by the broader statutory context.”

Moreover, in addition to legal reasons there are sound public policy reasons to reject FDA regulation of LDTs. Lab developed tests have never been FDA regulated, except briefly during the pandemic when the FDA used the declaration of emergency to issue so-called “guidance documents” saying that any SARS-COV-II test had to be pre-approved by the FDA. Thus, the FDA reversed the logic of emergency. In ordinary times, pre-approval was not necessary but when speed was of the essence it became necessary to get FDA pre-approval. The FDA’s pre-approval process slowed down testing in the United States and it wasn’t until after the FDA lifted its restrictions in March that tests from the big labs became available.

In a remarkably prescient passage, Clement and Tribe (2015, p. 18) had warned of exactly this kind of delay:

The FDA approval process is protracted and not designed for the rapid clearance of tests. Many clinical laboratories track world trends regarding infectious diseases ranging from SARS to H1N1 and Avian Influenza. In these fast-moving, life-or-death situations, awaiting the development of manufactured test kits and the completion of FDA’s clearance procedures could entail potentially catastrophic delays, with disastrous consequences for patient care.

We are seeing the same kind of FDA-caused delay for tests for bird-flu.

Moreover, unlike some of the proposals associated with incoming HHS head Robert Kennedy, reversing the FDA on lab-developed tests has significant support from a wide-variety of experts. Here, for example, is the American Hospital Association:

…we strongly believe that the FDA should not apply its device regulations to hospital and health system LDTs. These tests are not devices; rather, they are diagnostic tools developed and used in the context of patient care. As such, regulating them using the device regulatory framework would have an unquestionably negative impact on patients’ access to essential testing. It would also disrupt medical innovation in a field demonstrating tremendous benefits to patients and providers.

The Trump administration has a number of options:

…the LDT Final Rule was promulgated in time to escape Congressional Review Act scrutiny; however, the executive branch and a Republican-controlled Congress have other tools to limit or vitiate FDA’s authority. These include, in no particular order:

The U.S. Department of Health and Human Services (HHS) could revoke the LDT Final Rule. The recission of a rule is treated the same as the promulgation of a new rule. If HHS revokes the final rule, the cases will likely be dismissed as moot. The timing of such action is uncertain at this time.

FDA could extend or revise its policies of enforcement discretion. LDTs are currently subject to FDA’s phaseout policy which has five stages, the last of which begins in May 2028. Specific categories of IVDs will continue under an enforcement discretion policy indefinitely as described in the preamble to the final rule. HHS could quickly issue such a revised policy or policies without prior public comment if it determines such policy meets the threshold in 21 CFR 10.115(g)(2).

Congress could act. With a Republican-controlled House and Senate to start the new Trump administration, there is a chance that efforts to legislate the regulation of LDTs could be reignited. Based on prior congressional efforts, it is likely that such legislation would place LDTs under control by CMS and CLIA, rather than require LDTs to comply with FDA requirements.

HHS could let the litigation continue. The new administration may view the U.S. District Court for the Eastern District of Texas to be sympathetic to the Plaintiffs’ arguments and therefore proceed unabridged assuming the final rule will be struck-down, if that is indeed the deregulatory objective of the new administration.

The U.S. Department of Justice (DOJ) could act concerning the litigation. DOJ options are constrained by ethics rules but DOJ could request to amend its filings, pause the case pending rule-making proceedings, or take other actions intended to stall or moot the litigation in a deregulatory fashion.

AI is Not Slowing Down, Except for Stop Lights

After 25.3 million fully autonomous miles a new study from Waymo and Swiss Re concludes:

[T]he Waymo ADS significantly outperformed both the overall driving population (88% reduction in property damage claims, 92% in bodily injury claims), and outperformed the more stringent latest-generation HDV benchmark (86% reduction in property damage claims and 90% in bodily injury claims). This substantial safety improvement over our previous 3.8-million-mile study not only validates ADS safety at scale but also provides a new approach for ongoing ADS evaluation.

As you may also have heard, o3 is solving 25% of Frontier Math challenges–these are not in the training set and are challenging for Fields medal winners. Here are some examples of the types of questions:

Thus, we are rapidly approaching super human driving and super human mathematics.

Stop looking to the sky for aliens, they are already here.

Unconventional Indicators of National Aspiration

What are your top indicators of national aspiration? Percentage of GDP devoted to R&D would be a good conventional indicator. What about some unconventional indicators? My top five:

1) Top marginal tax rate
2) Space Program
3) Distance to travel to mother’s home
4) Tallest statue
5) Cultural exports

On these, the US and India perform well. India leads on tallest statue and its space program is impressive for a developing country. Cultural exports are currently low but historically high–I would not be surprised at a rebound. A lot of eastern European countries such as Hungary and Romania have flat taxes with top rates of 10-15%. Israel has a space program.

I am always surprised by how little people tend to move from the family home. In the US:

…80% of young adults migrate less than 100 miles from where they grew up. 90% migrate less than 500 miles. Migration distances are shorter for Black and Hispanic individuals and for those from low-income families

If anything this seems to be down in the US despite the much greater ease of moving today than in the past.

Your unconventional indicator?

Hat tip: Connor.

Why are Top Scientists Leaving Harvard?

Harvard magazine has an excellent interview with three scientists, Michael Mina, Douglas Melton and Stuart Schreiber, all highly regarded in their fields of life sciences, who have recently left Harvard for the private sector.

Why did they leave? Mina tells an incredible story of what happened during the pandemic. At the time Mina was a faculty member at the Chan School of Public Health, he is extremely active in advising governments on the pandemic, and he brings Harvard millions of dollars a year in funding. But when he tries to hire someone at his lab, the university refuses because there is hiring freeze! Sorry, no hiring for pandemic research during a pandemic. In my talk on US Pandemic Policy I discuss the similar failure of the Yale School of Public Health and how miraculously and absurdly Tyler stepped in to save the day. The rot is deep.

Melton also notes the difference in speed of response between the public and private/commercial sector:

Polls have shown that principal investigator biologists now spend up to 40 percent of their time—it’s a shocking number, 40 percent of their time—writing grants.

In industry, the funding allows for very rapid change. There’s no writing a grant and waiting six months to see if it could get funded, and then waiting another six months for the university to make arrangements to receive the funds. The speed with which you can move into a new area is not comparable.

Years ago, the pharmaceutical industry rarely did discovery research. But now, pharmaceutical companies do basic science. That’s been a good shift, in my opinion, but it’s been a shift.

“The computational resources, the sequencing, the chemical screening— it’s not comparable to what we can do in any university.”

Everything gets done much quicker. For example, when you want to file for a patent at a company, the next morning there are two patent attorneys in your office ready to write that patent. The computational resources, the sequencing, the chemical screening— it’s not comparable to what we can do in any university. It’s a whole order of magnitude different.

Our last hire at GMU took well over a year to complete. It’s outrageous. There are no functional reasons why universities should be so slow. Don’t forget, Harvard has an endowment of $50 billion!

Melton also asks whether a new private-public partnership model is possible:

Why can’t we find a way—since many of our undergraduates and graduates will end up working in industry—why can’t we find a way for them to do their studies and their Ph.D. and their postdoctoral work in conjunction with Harvard, with MIT, and with Vertex? There are reasons for that, but we haven’t been imaginative enough to think about a compromise.

Hat tip: R.P.

The Marginal Revolution Podcast–Options!

Today on the MR Podcast Tyler and I talk about The Quest to Price Options. First, we run through the amazing history of option pricing theory from Bachelier to Black, Scholes and Merton with stops in between for Einstein, Samuelson, Thorpe and Kassouf.

We then look at how understanding options changes how one sees the world. Here’s one bit:

TABARROK: In the Hayekian-Mises business cycle theory, the interest rate is really the key thing. Everyone’s just following the interest rate. Interest rate falls because of government increases supply of money or something like that and everyone just goes into investment.

COWEN: Yes. It was Black himself who said, “No, it’s changes in the risk premium that are doing the work.” That was what he was working on before he died. The papers of mine he wanted to see, were actually on the same idea. The changes in the risk premium might be driving investment. How do we think about those in a business cycle context?

TABARROK: Yes. Those seem to be much more important than the pure interest rate itself. There’s a lot of investment decisions that you can think about like an option. Suppose you have a 10-year mineral lease, which gives you the right to drill an oil well anytime in the next 10 years. Well, when should you drill? It seems obvious that the higher the price of oil, the greater should be your incentive to drill. The price of oil goes up and down. You don’t want to drill the well and then find out that oil prices have dropped below the cost of extraction.

Once the well has been drilled, the costs are sunk, literally in this case. You can think about the decision to drill the oil well as exercising the option to drill. You want to use some model to figure out when, given the volatility of oil prices, is the optimal time to drill the well.

COWEN: It’s related to seeing all these underdeveloped or undeveloped storefronts in American cities. Oh, there’s something that used to be a store. Now, it’s all boarded up. Why don’t they put something in there? Why doesn’t the price adjust? Sometimes it’s regulation, legal issues, but sometimes it’s option value.

You’re not sure what you’re going to put in. You don’t want to have to remodel the thing again. Maybe it should be a restaurant, but your town is not yet ready for a Brazilian churrascaria and, in the meantime, everyone’s waiting.

….It’s a major problem in economicdevelopment. The Danish government is relatively credible. Many, but not all, parts of the US government are. That enables investment and growth. There’s plenty of countries, if you just look at the books, a lot of their laws don’t sound that much worse, say, than US laws. They might even sound better but no one knows what the law will be two, three, 10 years from now. It’s just harder for them to mobilize the proper incentives.

This is our last podcast of the year. What topics should we take on next year?



Subscribe now to take a small step toward a much better world: Apple Podcasts | Spotify | YouTube.

Technological Disruption in the US Labor Market

Deming, Ong and Summers have a good overview of long-run and very recent changes in the US labor market. Using a measure of occupational titles the authors find:

The years spanning 1990-2017 were the most stable period in the history of the US labor market, going back nearly 150 years.

It’s a bit too early to distinguish an AI revolution from a COVID shock but the last four years look to be more disruptive than any since the 1970s and over a slightly longer period there are trends including a decline in retail, as consumers shift to online shopping and delivery, and a decline in office work, the latter especially suggesting an AI effect:

There were 850,000 fewer retail sales workers in the US in 2023 compared to 2013 even though the US economy added more than 19 million jobs over this period.

There are nearly five hundred thousand fewer secretaries and administrative assistants in the US labor force now than there were a decade ago. At the same time, management and business occupations have grown very rapidly. There were four million more managers and 3.5 million more business and financial operations jobs in the US in 2023 than there were in 2013.

Keep in mind that these changes are occurring as employment and wages overall are rising.

Zakaria on Rent Seeking

Fareed Zakaria on Freakonomics Radio:

ZAKARIA: You can see it in what happened a day after the election results became clear. You got a flurry of tweets from every major C.E.O. in America — every major tech C.E.O., every bank C.E.O. — fawning over Trump, congratulating him and telling him how much they wanted to work well with him. I think that this is a very sad development that’s happened. It’s not entirely because of Trump. But we have politicized the economy in America. All this industrial policy, these tariffs, these bans. What that does is it suddenly makes Washington a very crucial arbiter to the success of business. You add to it Trump, who personally loves the idea of fining Caterpillar for doing this and Harley Davidson for doing that and Chase for doing — he views it as his job as president to literally dole out rewards and punishments to companies, depending on whether they do what he regards as the right thing or the wrong thing. It’s deeply saddening to me as somebody who grew up in India, where this is business as usual. Every business had to slavishly pander to whoever the prime minister at the time was. And you see it in Musk. Tesla stock, in the two days after Trump won, was up 20 percent or something like that, adding tens of billions of dollars to Elon Musk’s net worth. Nothing fundamental in the economics had changed for Tesla. There was just an expectation, now that he was a friend of Trump’s, that he was going to somehow be showered with federal largesse. You know, there’s a guy in India called Adani who’s Modi’s best friend, and his stocks trade at multiples 10 times that of every other Indian company. Because everyone assumes that at the end of the day, being Modi’s best friend is worth $100 billion or something like that.

DUBNER: That’s probably a pretty safe assumption.

ZAKARIA: It’s a safe assumption in India. What’s tragic is it might even be a safe assumption in America. But it’s not what the American economy was supposed to be about. And I think it’s a very sad trend.

Hat tip: Larry White.

Tetlock on Testing Grand Theories with AI

Testing grand theories of politics (or economics) is difficult because such theories are always contingent on ceteris paribus assumptions but outside of a lab, all else is rarely the same. The great Philip Tetlock has run multi-decade forecasting experiments but these are time and resource consuming. Tetlock, however, now suggests that LLMs could speed the process of testing grand theories like Mearsheimer’s neo-realism theory of politics:

With current or soon to be available technology, we can instruct large language models (LLMs) to reconstruct the perspectives of each school of thought, circa 1990,and then attempt to mimic the conditional forecasts that flow most naturally from each intellectual school. This too would be a multi-step process:

1. Ensuring the LLMs can pass ideological Turing tests and reproduce the assumptions, hypotheses and forecasts linked to each school of thought. For instance, does Mearsheimer see the proposed AI model of his position to be a reasonable approximation? Can it not only reproduce arguments that Mearsheimer explicitly endorsed from 1990-2024 but also reproduce claims that Mearsheimer never made but are in the spirit of his version of neorealism. Exploring views on historical counterfactual claims would be a great place to start because the what-ifs let us tease out the auxiliary assumptions that neo-realists must make to link their assumptions to real-world forecasts. For instance, can the LLMs predict how much neorealists would change their views on the inevitability of Russian expansionism if someone less ruthless than Putin had succeeded Yeltsin? Or if NATO had halted its expansion at the Polish border and invited Russia to become a candidate member of both NATO and the European Union?

2. Once each school of thought is satisfied that the LLMs are fairly characterizing, not caricaturing, their views on recent history(the 1990-2024) period, we can challenge the LLMs to engage in forward-in-time reasoning. Can they reproduce the forecasts for 2025-2050 that each school of thought is generating now? Can they reproduce the rationales, the complex conditional propositions, underlying the forecasts—and do so to the satisfaction of the humans whose viewpoints are being mimicked?

3. The final phase would test whether the LLMs are approaching superhuman intelligence. We can ask the LLMs to synthesize the best forecasts and rationales from the human schools of thought in the 1990-2024 period, and create a coherent ideal-observer framework that fits the facts of the recent past better than any single human school of thought can do but that also simultaneously recognizes the danger of over-fitting the facts (hindsight bias). We can also then challenge these hypothesized-to-be-ideal-observer LLM s to make more accurate forecasts on out-of-sample questions, and craft better rationales, than any human school of thought.

Tabarrok on Bail

I appeared on the Bail in the Midwest Podcast (Apple) to talk about crime and bail. Here is one bit:

I’ve talked about capturing these people and recapturing them and that of course is what you see on television. That’s the sexy part of it but actually a lot of what is going on, as you well know, is that the bail bondsmen understand the system much better than the the clients do. So what they’re often doing is helping their clients to navigate the system and to remind them that “you have a court date”. They call them up and send them a text, “don’t forget you have to be at court at this time in this place,” you know these these people are not necessarily putting it on their Google Calendar right? So the bail bondsmen they really perform a social service in helping people to navigate the intricacies of the criminal justice system at a time of high stress.

Apple: https://podcasts.apple.com/us/podcast/bail-in-the-midwest-alex-tabarrok-economist-and/id1693408870?i=1000679367738

Spotify: https://open.spotify.com/episode/7dwB1NX43CEqNzBA2crSDp

Podcast Index: https://podcastindex.org/podcast/5314589?episode=30862010733

Podcast Addict: https://podcastaddict.com/episode/https%3A%2F%2Fwww.buzzsprout.com%2F1948722%2Fepisodes%2F16223987-bail-in-the-midwest-alex-tabarrok-economist-and-professor-at-george-mason-university.mp3&podcastId=3902811

Amazon Music: https://music.amazon.com/podcasts/43d45e68-bdaf-41f0-9adc-66aa2f8a0d4b/episodes/dc0940d2-134b-4bd1-88a9-cdf5b7cbfb14/bail-in-the-midwest-bail-in-the-midwest-alex-tabarrok-economist-and-professor-at-george-mason-university

Player FM: https://player.fm/series/bail-in-the-midwest/bail-in-the-midwest-alex-tabarrok-economist-and-professor-at-george-mason-university

Trump City

Donald Trump wants to create Freedom Cities. It’s a good idea. As I wrote in 2008, the Federal Government owns more than half of Oregon, Utah, Nevada, Idaho and Alaska and it owns nearly half of California, Arizona, New Mexico and Wyoming. See the map (PDF) for more [N.B. the vast majority of this land is NOT parks]. Thus, there is plenty of land to build new cities that could be adopted to new technologies such as driverless cars and drones.

Mark Lutter review the history and motivation and has a good suggestion:

Our favorite possibility is Presidio National Park. Though much smaller than Guantanamo Bay or Lowry Range, its location is ideal. San Francisco is the world’s tech capital, despite its many problems. The federal government can help San Francisco unleash its full potential by developing Presidio. With Paris-level density and six-story apartment buildings, a developed Presidio would add 120,000 residents, increasing San Francisco’s population by 15 percent. Further, given the city’s existing talent density, a Presidio featuring a liberalized biotechnology regime would quickly become a world innovation leader in this sector. America deserves a Bay Area that can compete; turning Presidio into a Freedom City could be an important step in that direction.

I would add only one suggestion let’s call this Trump City.

File:Aerial view - Presidio-whole.jpg - Wikimedia Commons