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NASA has a Dragon dilemma, and there appear to be no good answers - Ars Technica

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For two decades, largely in service to the International Space Station, NASA has sought to foster an “economy” in low-Earth orbit.

Twenty years ago, with a program to develop private spacecraft for cargo delivery to the space station, NASA sought to “stimulate efforts within the private sector to develop and operate safe, reliable, and cost-effective commercial space transportation systems.” In recent years this has expanded to creating an entire commercial ecosystem in orbit, with transportation, space stations, manufacturing, tourism, and more, such that NASA is one of many customers in the market.

In April 2024, the space agency explicitly laid out its philosophy: “NASA supports a robust commercial space economy that advances American industry and promotes technological discovery through in-space work and research. NASA remains committed to fostering innovation and collaboration within the American space industry.”

But just two years later, there are growing questions about the viability of this. As the second space race heats up, NASA has become more interested in focusing on the lunar surface, with a robust Moon base. SpaceX has signaled it no longer wants to be in the business of flying astronauts into low-Earth orbit. Today, the grand plans for a low-Earth orbit economy, at least involving humans, appear to be going sideways.

So what happened, and why does it matter? Ars spoke with a number of industry sources, on background, to provide some answers.

Q. What precipitated this crisis?

A. In recent months, SpaceX has made it clear to NASA that it no longer wishes to fly its Crew Dragon spacecraft, or the Falcon 9 rocket, on missions to low-Earth orbit. The company has agreed to support the International Space Station until 2030. But after that, SpaceX intends to retire the spacecraft. SpaceX has told companies developing private space stations for low-Earth orbit, including Axiom Space, Voyager Space, and Vast Space, that they cannot order Crew Dragon missions for their habitats.

Q. Can NASA compel SpaceX to keep flying Dragon?

A. NASA invested $3.1 billion in the development and certification of Crew Dragon as part of the Commercial Crew Program. But SpaceX was only compelled to fly half a dozen missions. It has flown 13 missions for NASA to the space station, and will launch another one in a few days. The company had recently agreed to keep flying through the Crew-17 mission. SpaceX has therefore more than fulfilled its contract obligations to NASA.

Q. But isn’t NASA a really important customer for SpaceX?

A. It was in the past, yes. But SpaceX now derives a majority of its revenue from Starlink, and that proportion is likely to grow even more. Additionally, as part of the process of going public earlier this year, in financial filings, SpaceX made clear that it envisions a vast majority of its future revenue will come from Starlink and orbital data centers. The category of “space enabled solutions,” of which NASA is a fraction, represented approximately 1 percent of what SpaceX views as its “total addressable market.” In other words, NASA needs SpaceX more than SpaceX needs NASA. Going forward, SpaceX wants to focus on launching its own payloads—on the Starship rocket. NASA Administrator Jared Isaacman recognized this reality during a news conference on Monday, saying, “I do not think it’s a secret that SpaceX intends to sunset older platforms like Falcon and Dragon as they concentrate on their next-generation capability, Starship.”

Q. What about Starship?

A. Four astronauts currently launch on Dragon. Starship could potentially bring dozens of astronauts into orbit at a time. That would be revolutionary for access to low-Earth orbit and an economy there. However, SpaceX has told NASA it is not interested in developing Starship for human launches into Earth orbit at this time. (Again, they’re focused on their own payloads). Ascent and entry of Starship, carrying humans, would raise a tangle of safety and regulatory concerns and is not a priority for the time being. NASA has no real way to compel SpaceX, and any political capital the space agency might expend on Starship is going to be focused on getting a variant of the vehicle for a “Human Landing System” as part of the Artemis Moon program rather than human launches from Earth.

Q. What’s happening with Boeing?

A. Boeing was NASA’s other partner in the Commercial Crew program. The agency has invested $5.1 billion to date in Boeing to develop the Starliner spacecraft. Despite this, Boeing has yet to fly a single operational mission to the space station. The news this week is that, despite these struggles, NASA will invest $359 million more to support the company’s efforts to fix Starliner’s propulsion system and certify the Vulcan rocket for new missions. It is NASA’s hope that Starliner can supplement astronaut missions during the remainder of the International Space Station’s lifetime, and then be available for private space station operators.

Q. Is this a good plan?

A. A lot of people don’t like it. Some critics say NASA has basically handed Boeing (not a particularly benevolent monopolist) and Starliner a monopoly on Western human spaceflight to low-Earth orbit for the next 10 or 20 years. This may effectively end any hope of a low-Earth orbit economy that involves humans in space. However, others say NASA faced few good choices. And given NASA’s extraordinary investments in Boeing to date, it would have been fiscally irresponsible to abandon Starliner now. NASA funded two companies as part of the Commercial Crew program. If one of them is walking away, it makes sense to support the remaining one, even if there are legitimate concerns about Boeing’s past performance.

Q. What else might NASA have done?

A. Some people wanted to see NASA fund a new competition, a Commercial Crew 2.0 for the 2030s. This would have brought on a competitor, probably Blue Origin but maybe also someone like Sierra Nevada or The Exploration Company, to keep price pressure on Boeing for crew transportation services. However, a new competition would ultimately have cost NASA billions of dollars, and Isaacman seems reluctant to make such an investment given all of NASA’s other priorities. Isaacman believes Boeing can meet NASA’s needs, which are something like two seats every six to nine months, to orbit. The real unknown is whether a market beyond NASA—institutional customers from Europe, the Middle East, and beyond, in addition to privately funded astronauts—could exist at Starliner’s prices.

Q. How much does a seat cost?

A. This is an important question. SpaceX’s original price per seat for early Dragon flights was approximately $55 million. For more recent missions, the price has increased to $78.8 million. (And if SpaceX were to magically decide to keep flying Dragon longer, the price would only go up). By contrast, the Starliner price to NASA is $90 million per seat during the International Space Station era. So what happens after Dragon retires? Let’s just say no one expects prices to go down. I asked Boeing Vice President John Mulholland about Starliner seat prices in the 2030s yesterday, and he replied, in part, “Obviously we want to be as competitive as possible.” But competitive with whom?

Q. What about Blue Origin?

A. The space company founded by Jeff Bezos is developing a “Space Vehicle” for astronauts to launch on the New Glenn rocket. After some of my recent reporting, sources reached out to let me know that design work is “well advanced” along with demonstration work such as cabin pressure-vessel manufacturing, extensive parachute testing, in-house thermal protection system testing, life support systems, and more. I’ve heard “no earlier than” dates of 2031 for a crew launch. But that’s probably optimistic, and if NASA and private space station operators need to book transport in the early 2030s, Starliner is probably the only option.

Russian Soyuz-FG rocket with the Soyuz TMA-12M spacecraft launches in March 2014.
Russian Soyuz-FG rocket with the Soyuz TMA-12M spacecraft launches in March 2014. Credit: VASILY MAXIMOV/AFP via Getty Images

Q. What other vehicles are out there?

A. NASA relied on Russian Soyuz vehicles in the 2010s after the Space Shuttle retired, and before Crew Dragon came online. With Russia’s invasion of Ukraine, Soyuz is off the table for private space stations. India is also developing a crewed spacecraft, Gaganyaan. But it was originally supposed to carry humans in late 2021, and the schedule has since slipped to at least 2027. And for a time Gaganyaan is likely to be used solely for Indian missions. Counting on this vehicle for private space stations seems like a stretch. NASA does have its Orion spacecraft, but the per-seat cost for its missions is likely astronomical ($500 million per seat?), and Orion is needed for lunar missions. The Exploration Company, based in Europe, has ambitious plans for a crewed spacecraft, but it likely won’t be ready until 2035. Sierra Nevada’s Dream Chaser just does not seem like it’s ever going to happen, sorry.

Q. So what’s the answer?

A. You’re probably not going to like this, but the only real hope for a significantly lower sticker price for sending humans into low-Earth orbit is Starship. If incentivized, SpaceX probably could bring this capability online by 2030 and radically reshape the market. But from all publicly available evidence, and based on private conversations, SpaceX seems unlikely to prioritize crewed ascent and reentry on Starship any time soon. Could that change? Certainly. Will it? Probably not. SpaceX and its founder, Elon Musk, will do what they want.

Q. So is SpaceX just being selfish, or what?

A. SpaceX is a business, and like a lot of other businesses, especially publicly traded ones, the goal is to maximize revenue. From their perspective, it makes sense to remove distractions (such as Dragon and Falcon 9) and focus on the future of the company (Starship).

One way of looking at the last 20 years of spaceflight history, and NASA’s efforts to stimulate a low-Earth orbit economy, is to view SpaceX as the exception to the rule. In some sense, an economy based on astronauts in low-Earth orbit got lucky that SpaceX executed so successfully on Dragon. This allowed for the creation of a market around the idea of access at a price of $50 million per seat. At the same time, transportation competitors in cargo (Northrop) and crew (Boeing) struggled mightily. The best SpaceX’s competitors could do was nearly twice the price, and even then, not as reliably.

NASA seems to think Starliner, even at higher prices, will provide the guaranteed access it needs to low-Earth orbit in the 2030s for its astronauts. But in terms of a broader space economy in low-Earth orbit—which for decades the space agency has explicitly sought to foster—it is difficult to see Starliner providing a suitable solution. So yes, SpaceX pulling out of this market harms the industry. But should it be incumbent upon SpaceX to continue a line of business solely because it benefits its peers and competitors?

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sarcozona
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no caption needed

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my-neuroglia:

padawan-historian:

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This is overwhelmingly my feeling about every single 9/11 news article I’ve seen this week. It’s like people dying at work (killed by terrorism) is something we should “never forget” but people dying at work (killed by Covid because the people were nurses or short order cooks or retail workers) is something we should “get over already”.


We got a whole new federal agency and the Patriot Act after 9/11, but we can’t even get guaranteed free shots or free tests after Covid, because it’s no longer an “emergency”.

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4 hours ago
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Alternate timeline in which all Greek and Latin roots are swapped:

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o-craven-canto:

Alternate timeline in which all Greek and Latin roots are swapped:

catastrophe -> contraverse
cephalopod -> capitoped
chlorophyll -> viridofolia
democracy -> populimpery
homicide -> anthropoctony
homosexual -> equigamic
kilometer -> millimensure
interregnum -> mesarchy
magnanimous -> megapsychic
manuscript -> chirography
motorcycle -> ergatorote
microscope -> parvovisor
oxygen -> acidofex
polyamory -> multierasty
television -> remotoscope
universe -> monostrophe

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AI Has Already Killed Academia as we Know it

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No AI was used in writing this post.

If academia was a game, I've won it. Tenure, an endowed research chair, awards, leadership positions, an international journal I helped to found and now serve as the Editor-in-Chief, students I have supervised to their own successes, a good h-index, all the classic marks of success. This isn't meant as bragging but rather to point out that while I've won this game, the game no longer makes sense.

Academia, as most of us have practiced it, runs on maximalism. The most grants, the most papers, the most students, the most awards, the most news coverage. While we are doing much better these days in highlighting impact and contributions, the underlying engine is still volume, and the volume has always been produced by independent human writing (applications, submissions, letters of support, reports, Conversation articles, press releases, etc., etc.). The problem is that AI makes volume essentially infinite (until the world burns up, but that's a parallel discussion).

Assignments are the most obvious casualty

I'll start with the part that is already visible to the general public. Any assignment a student takes away and brings back is, for all practical purposes, extremely likely to be AI generated or AI refined. To date we've often been able to detect this use and this is because some students still use AI badly. They submit the obvious slop with classic Chat GPT formatting, comma-separated three item lists in every sentence, the hallucinated citation, the tell-tale hyperbole, lack of paragraph tabs, etc. We catch those students and we feel like we're still on top of things.

But the real obvious problems are the ones we'll never notice and that are already passing by detection. Take a student with two paid accounts, say Claude and ChatGPT, who has one AI draft the work and the other critique and refine it, looping until the prose is clean and the argument is tight. The have AI double and triple check references, they nail every bit of formatting and punctuation. That student produces work that is not only undetectable, it is better than most of what gets submitted, and it will therefore earn a higher grade. These AI-maximizing students become the rational ones rather than being 'lazy' or 'dishonest' because they start to see the obvious connection between AI use and grades. Most egregiously, the system now does two things: it penalizes the student who wrote their own merely human essay with natural flaws and limitations, and it hands zeros to the unsophisticated AI users who we catch, while rewarding the sophisticated (and higher spending) ones. If your class has a term paper that students do on their own and submit for grading, chances are that you (or your TA (our your TA's AI)) are assigning grades unrelated to real knowledge of the content.

But it's the research issues that really hit me personally

We've been talking as a sector a lot about the teaching/learning issues around AI but as I told my research team last week, it seems like we're still 'head in the sand' about what this means in terms of research and overall academic success.

Mass produced, publishable content, is ALREADY HERE. Review articles, methodology pieces, theoretical syntheses, reports, secondary analyses of qualitative data; a researcher today can generate these in volume by combining a couple of pro subscriptions to tools like Consensus and Claude, and a significant share of these will be good enough for publication. Sure, some reviewers will spot some article submissions as being too fluffy (but again, I still think that's just not using the tools optimally, you can train AI away from all the hyperbole and empty premises) but if you're blasting them out like a firehose, a lot will get through. Someone willing to work this way can produce something close to a paper a day, slowed down a bit by online submission system clunkiness, and their CV will quickly eclipse anyone doing independent intellectual work.

It's the same issue with grant submissions, restrained only a bit by limits on how many a single researcher can submit or hold simultaneously. Picture a team of five colleagues running ten applications into a single CIHR Project Grant cycle by rotating which member sits as nominated principal investigator (each can submit 2 per cycle). The odds of landing at least one are high based on volume alone, before you even account for the fact that AI is genuinely good at some of the common critical errors that sink applications: budget flaws, a highly relevant paper the team missed citing, the eligibility criterion that was maybe flagged so late in final review they decided they didn't have time to fix it. The careful, error-free, comprehensive application used to be the outcome of several failed submissions, now it's just someone who knows how to use multiple AIs or use a cowork/agent system.

What's CIHR even going to do when the number of applications triple? What are they going to do when AI submissions are better than human developed ones? So far, the discussion about dealing with this volume is thinking about AI pre-screening of applications. So your AI is now checking my AI...cool, cool, cool.

I don't want this to sound like sour grapes like I'm worried that junior scholars are going to outpace me. Rather, I'm worried that academia as a whole careens into nonsense because we haven't adjusted our reward systems to match the current reality.

We will pretend this isn't happening for a while

The institutional response has been reasonable in terms of coursework and assignments. Due to the complexities of academia, including academic freedom, de-centralized structures, unionized contracts, etc., there won't be rapid, centralized responses about course assignments. Rather, universities are providing supports and guidance to redesign assessments, redesign syllabi, and providing cheating prevention software for certain remote assessments. Many scholars have written more eloquently than I can about processes to ensure learning is occurring and evaluation is meaningful. Yes, going back to paper and pencil strains our current resources, but is a likely necessity.

On the research side, the response has seemed far slower. From Tri-Councils initially banning AI use to then allowing it, and most journals having very limited responses beyond perhaps self-declarations, it seems we are already 2 years behind the reality. Indeed, we continue to run on our former processes and metrics while an entirely new system is in place that essentially negates these metrics. The version of academia whereby you submit written content and are rewarded for how much of that written content is taken up in formal venues is already dead in terms of meaning. We just haven't gotten around to holding a funeral yet.

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Automakers Would Rather Quit California Entirely Than Turn Off Their Snooping Tech

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Automakers Would Rather Quit California Entirely Than Turn Off Their Snooping Tech

The car industry has a new ultimatum for the most populous state in the country: let us off the hook, or we'll take our showrooms and go home. In a stunning bit of brinkmanship, the Alliance for Automotive Innovation—the lobbying group that speaks for General Motors, Toyota, Volkswagen and basically every major automaker selling vehicles in the United States—warned on June 23 that car companies may be forced to halt sales of both new and used vehicles in California starting July 1 unless lawmakers hit the brakes on a vehicle-tracking law.

Related

Yes, you read that correctly. Rather than build a working "off switch" for the connected-car tracking tech baked into modern vehicles, the industry is floating the nuclear option of simply not selling cars in a state that moves something like two million of them a year. Bold strategy.

So what is this law, anyway?

The flashpoint is SB 1394, a 2024 California law aimed squarely at one of the creepier side effects of the connected car: stalking. Modern vehicles are rolling surveillance devices, packed with GPS, always-on data connections and apps that let a phone track a car's location or control it remotely. That's genuinely useful right up until the person holding the phone is an abuser using it to hunt down a partner who's trying to escape.

SB 1394 requires automakers to give drivers—especially domestic-violence survivors—a clear, fast process to submit a restraining order or similar documentation and have location-tracking and remote access cut off or transferred away from an abuser. In other words, an in-car tracking off switch for the people who need it most. Hard to argue with the goal.

The industry's beef isn't the goal—it's the deadline

To hear the Alliance tell it, automakers already comply with the core abuse-survivor protections. Their complaint is the timeline. They say they can't realistically stand up the required process across every make, model and connected-services platform by the compliance deadline, and they want it pushed back. The vehicle for that delay is SB 719, a bill that would punt the deadline—reportedly all the way to July 2027.

"Without SB 719 being signed into law before July 1, there is substantial risk that auto sales in California will be suspended," the Alliance's Curt Magleby warned, in the kind of sentence designed to make a state legislator's blood run cold.

Whether that's a genuine compliance crisis or a high-stakes game of chicken depends on who you ask. Critics will note that the law has been on the books since 2024, which is a long runway to build a feature that, at its core, amounts to a button that says "stop sharing my location."

A familiar pattern

If you've been paying attention to the connected-car beat, this fight should feel familiar. Automakers have spent the last few years getting caught with their hands in the data jar, and regulators have been circling. Earlier this year the FTC moved to restrict how GM handles driver data after finding driving-behavior information had been collected and sold to insurers. Meanwhile, the same data the industry says is too hard to switch off is valuable enough that Toyota has explored literally paying owners for it.

The throughline is simple: the car knows where you are, who's driving, and how, and untangling that web turns out to be inconvenient the moment someone asks the industry to hand control back to the driver.

What happens next

For now, this is a threat, not a reality. The likeliest outcome is that Sacramento blinks and passes some version of SB 719 to delay the deadline, because the alternative—a state where you can't legally buy a new or used car—is a political non-starter for everyone involved. But the fact that the industry is willing to wave around a statewide sales freeze as leverage tells you exactly how much it values control of your car's data. We'll be watching to see who flinches first.

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Does Georgism Work? Five Years Later - by Scott Alexander

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Hi, this is Lars Doucet, author of the book review of Henry George’s Progress and Poverty that won the first ACX book review contest, as well as the three-part follow-up guest post series, “Does Georgism Work?” A lot has happened since then, including land value tax (LVT) enablement laws passing this year in two U.S. states and the election of LVT-friendly national leaders in the UK and South Korea. As for me, I now work full-time for the Center for Land Economics and write for Progress & Poverty substack.

I’d like to reflect on what I wrote five years ago: what I was right about, what I’ve changed my mind on, and what the outlook for LVT is in 2026. But first, here’s a brief summary for those who either have no idea what I’m talking about or just need a refresher.

In 2021, I wrote a book review for ACX on the book Progress and Poverty, the magnum opus of the famed 19th-century economist and populist firebrand Henry George:

If I had to summarize the book in a single sentence I would put it this way: poverty and wealth disparity appear to be perversely linked with progress, The Rent is Too Damn High, and it’s all because of land.

George argues that poverty paradoxically advances alongside progress because, as material conditions improve, landowners can charge more rent for locational benefits they didn’t create. People who earn more than the local average salary (e.g., software engineers) can stay ahead of this trend, whereas those who don’t (teachers and service workers) are priced out of the homes they rent. Eventually, even upper-middle-class families can struggle to afford services like daycare, because daycare businesses must charge more to pay business rent and employee wages. Landlords, rather than daycare owners or workers, collect most of the service price increase parents pay.

Henry George’s remedy is the land value tax, or LVT. In its ideal form, this tax would capture and redistribute the annual rental value of land; that is, the recurring value of the land excluding the value of any buildings or other improvements on top of it. In practice, this looks a lot like a conventional property tax paired with a “universal building exemption.” Notably, George isn’t simply in favor of a land value tax; he’s also opposed to taxes on both labor and capital.

George further proposed the single tax—a policy in which land is taxed at its full annual rental value, and LVT is the only tax.1 Although the feasibility of the “single tax” remains controversial among economists, land value tax itself is surprisingly well accepted by economists left, right, and center as the ideal tax policy, with mainstream criticism mostly centered on practical and political concerns.

After the book review contest results were announced, ACX readers inundated me with questions, which led to the three follow-up posts. After those ran, I reposted all four articles on the standalone site www.gameofrent.com, and later consolidated them into a book, Land is a Big Deal.

Here’s what’s happened since.

Five years ago, LVT was mostly a hypothetical idea people debated on blogs. Today, it has the most legislative momentum it’s seen in decades. Many states introduced bills this year, and Virginia and Kentucky passed land value tax enablement laws in April. These laws allow municipalities to opt into split-rate property taxes, which lower tax rates on buildings and raise them on land. My organization, the Center for Land Economics, maintains a public legislation tracker with an interactive map that makes it easy to keep tabs on these trends.

Source: Center for Land Economics public legislation tracker

Virginia and Kentucky were the big winners for the 2026 legislative season, enabling various cities in those states to implement land value taxes. However, even bigger opportunities are coming. In Washington State, my organization is collaborating with the Sightline Institute on an upcoming LVT bill. Meanwhile, in New York, Governor Hochul extended authority for cities to utilize land value capture to fund new transit stops, a tool that can be used for the new Inter-Borough Expressway (IBX) subway expansion. We’re working with Niskanen Center, Center for Public Enterprise, and Institute for Progress to turn this idea into a real policy proposal.

Nor is interest in land value tax limited to the United States. The UK just elected a new prime minister, Andy Burnham, who has long openly advocated for a land value tax, and South Korea did the same last year with the election of new president Lee Jae Myung. Additionally, in January 2025, the German state of Baden-Württemberg implemented a new LVT that survived a subsequent court challenge. Although we’re tempering our expectations (the effective tax rate of the German LVT is quite low, and it remains to be seen how ambitious the Burnham and Lee administrations will be), it’s clear that LVT is no longer an obscure idea, nationally or internationally.

Finally, many now believe that the economic effects of AI developments may accelerate support for LVT and Georgism more generally. As newly minted AI millionaires bid up land prices in San Francisco and Seoul, Adam Ozimek argues that land will be a winner in the age of AI. Similarly, Aksel Sterri, co-founder of the Norwegian Effective Altruist think tank Langsikt, calls for an explicitly Georgist framework for understanding the AI era. (I’m also Norwegian; see my piece on Norway’s century-old Georgist tradition in natural resource management for more context on what Aksel’s talking about.)

So what have I learned?

I used to think LVT advocates had to change popular and elite consensus before moving on to the boring scut work of implementation. Now I realize that the boring scut work is actually what precedes, and even leads to, changing the consensus.

If you go back to the original series’ comments, you’ll see me trying to answer every concern that comes up, and falling for the bait when someone drags me into a tendentious comment thread dozens of replies deep. These would sometimes terminate in the interlocutor declaring that they’re the “exact kind of person Georgists need to convince!”

I’ve since learned that overly online keyboard warriors are the least important people to convince. The most important people are on your local city council or state legislature. Furthermore, instead of wasting time with hard cases or elected officials who are dead-set against your ideas, you’re much better off finding and working with people who are already interested in your principles. This often means giving up on your own city or state, at least for the time being, and pursuing a “succeed anywhere” strategy instead.

Changing policy where people want to change it is also how you overcome the “cold start problem,” when someone likes your idea but wants to see someone else do it first. Rather than trying to change that person’s risk aversion, find the person who is adventurous enough to try something new and work with them first. This builds case studies that you can use as social proof for the second, more cautious, wave of reforms.

I’ve also found that many online and academic objections are somewhat imaginary. When you talk to actual people in office, either their objections are entirely different from the ones you see in social media and comment threads, or they’re surprisingly open to being convinced if you listen patiently and present a clear argument backed by data and research.

Which brings me to…

No politician on earth has the time or inclination to independently learn about your philosophy, ingest all the arguments for it, evaluate a bunch of empirical and theoretical research, model its impacts on their locality, anticipate and respond to all possible objections, then wrap it all up into a tidy package complete with PowerPoint presentations, slick graphs, interactive websites, and a convenient, printable “one-pager” to hand out to interested parties.

You know who can do all those things? You.

For instance, some people get confused about land value tax, thinking it will wreck single-family homeowners, or that I’m out to get them personally, because obviously all the land value in town is concentrated directly underneath their specific home. This isn’t a disagreement about values or mechanics but rather a simple misunderstanding of what land value is and where it is most concentrated.

The first thing I do to disabuse people of this notion is to point out how much land value in any typical U.S. city is concentrated in downtown areas, and how much that value attenuates in the suburbs. We do this by loading up CivicMapper, our free, open-source 3D visualizer that takes local assessed land values and puts them on a map.

Here’s Washington, D.C.

Here’s Austin, Texas.

Here’s Seattle, Washington.

Not all cities look the same, and not all assessments are of equal quality, but you see the same basic patterns everywhere. Land in the city center is worth much, much more than outlying areas.

Then, we show people how much of that high-value land is dedicated to extremely low-value uses, like surface parking. Here’s Houston, which has over 3.5 billion dollars of land value locked up in surface parking alone.2

And no, it’s not just Texas. Here’s Portland, Oregon.

We can even zoom in and show how much of that surface parking occurs in the most valuable areas, such as Houston’s downtown district, which alone accounts for nearly half a billion dollars’ worth. These are exactly the places where it makes the most sense to concentrate development.

Having established that Land Is a Big Deal and that we’re also squandering it, we do the math and build a model of who wins and who loses under a revenue-neutral land value tax shift, or “Universal Building Exemption.” To do this, we use LVTShift, a free, open-source Python library maintained by the Center for Land Economics. In most of our models, the biggest losers are vacant land and surface parking lots, and among the net winners is the typical median single-family homeowner.

In addition to doing the math, we find compelling stories to tell. For instance, in this report on Cincinnati that we collaborated on with the Notre Dame Student Policy Network, we illustrate how conventional property taxes punish those who improve properties and invest in the city by providing housing and business, while those who own vacant lots or surface parking lots are rewarded for holding land out of use.

Source: Google Earth; Central Ave & Findlay St, Cincinatti, Ohio

Here’s a similar comparison from our report on Spokane, Washington. The lots with houses on them pay more than seven times as much per square foot of land as the vacant lot does, even though all the land is equivalently zoned and similarly located.

We built up this methodology from crude beginnings by talking to people, trying things, learning from our mistakes, and refining our approach. Finally, we condensed everything we learned into a concrete political playbook entitled Enacting Land Value Return in Your Hometown, then published it as a guide for others to follow.

This playbook is now leading to wins. One of our activists, Jackson Arnold, a member of the Abundance Network, wanted to implement LVT in his hometown of Louisville, Kentucky. He got in touch with us, joined the OpenAVMKit Discord,3 and ran the playbook all the way from inception to getting a bill passed in his state legislature. We are now trying to figure out how to inspire and enable more Jackson Arnolds.

While the first wave of LVT fans were local citizens, we’re now attracting lawmakers’ attention. The most salient example is Bill Blessing, a Republican state senator from Ohio and chair of the Ways and Means Committee, who introduced an amendment to Ohio’s state constitution this year to legalize local opt-in LVT.

That’s all very exciting. But we still have one question to ask before we get carried away.

My three-part article series was structured as an investigation into the three most common objections to Georgism. We should revisit those and see where things stand in light of what I’ve learned since. The three objections were:

  1. Land just isn’t a big deal anymore in the modern economy.

  2. Land value tax will just be passed on to tenants.

  3. Land value can’t be accurately assessed separately from buildings.

In Part 1, Is Land A Big Deal?, I ran the “land isn’t a big deal” theory against several testable hypotheses. Among the findings was the fact that sky-high urban real estate prices were primarily driven by land appreciation, and that land was a large and steadily increasing share of bank loans.4 The article’s centerpiece was an original estimate of the total land value of the United States, which was much larger than many had expected. Although this estimate fell short of what a “single tax” would require, it was still large enough to convince many that LVT had been unfairly dismissed as a serious policy proposal.

This article has aged the best of the three, but I still have a few updates to share.

If land is a big deal in the USA, it’s an even bigger deal in South Korea, which has all the prerequisites for a national LVT and enough land value to approach a full-on single tax, or other ambitious projects like Universal Basic Income (UBI). Here’s a snippet from my piece, UBI Advocates should watch South Korea:

For UBI or LVT to succeed anywhere, they must first succeed somewhere…therefore, if you want UBI or LVT to succeed, you should scour the world for a place where these two policies are the most:

  • Economically feasible

  • Technically feasible

  • Politically possible

  • Socially and politically urgent

That place is South Korea.

South Korea has the highest land value-to-GDP ratio in the entire OECD, in excess of 500%. To put that in perspective, the figures from my own estimates of the USA’s total land values—which surpassed many readers’ expectations—were a mere 200% of GDP. My first instinct was that Korean land values must reflect a temporary, anomalous bubble and would soon revert. However, long-run land value-to-GDP ratios over the last 50+ years have ranged from 400%, and current values aren’t even the all-time peak, which clocks in at around 600%. Prime land is just that valuable and scarce in South Korea.

That’s a lot of land value. 3D map by Jinsu Lee, based on official MOLIT land values

Where do these land value figures come from, by the way? Turns out, South Korea has one of the best-organized land valuation systems in the entire world, despite not having a land value tax, which we’ll discuss later.

In short, LVT in South Korea could raise enormous revenue. Land is already valued down to the individual parcel annually, the current president is sympathetic to LVT, and the urgency for socioeconomic reform in South Korea has never been higher. Although many daunting political obstacles remain, South Korea’s example makes it clear that land is, if anything, an even bigger deal than I originally thought.

Next, let’s address a few counter-arguments to the “Land is a Big Deal” thesis that I didn’t fully address last time.

One argument that often came up in comment threads was, “All we need to do to solve the housing crisis is upzone.” I certainly agree that upzoning is necessary, but I don’t agree that it is sufficient (which is something I also believe about LVT). Stephen Hoskins’ essay Land and Liberty to Build makes a great philosophical case for why YIMBYs should also be Georgists and Georgists, YIMBYs, to which I will add a few arguments of my own.

First, history falsifies the “upzoning is sufficient for affordability” hypothesis. If upzoning is all we need, we should not see housing affordability crises before zoning, which was not fully entrenched until the 1920’s. Instead, we see the opposite. The Georgist movement itself sprang from a massive housing crisis in the late 1800’s, decades before zoning became widespread. One could say, “Well, high-rise buildings hadn’t been invented yet, which is what you need to overcome land scarcity pre-zoning.” However, skyscrapers had been around for decades prior to the 1920’s.

Second, not every location is equally constrained by zoning. Michael Wiebe has a great article reviewing a recent paper that estimates the implicit “zoning tax” of various metros, finding that San Francisco is the most constrained, and cities like Cincinnati the least.

Even though cities like Cincinnati aren’t as expensive as San Francisco, they still have problems. It’s easy to find concrete examples of the most valuable land being held out of use even in the least constrained cities, which contradicts the “upzoning solves everything” argument. We’ve already shown you Houston (which has no zoning), but here’s a look at surface parking lots in Cincinnati’s downtown. You can find this pattern of wasted valuable land in just about any American city.

Source: CivicMapper.org, an open-source visualization platform maintained by the Center for Land Economics that draws data from OpenStreetMap and public local assessor data.

Let’s go back to this chart from Cincinnati.

Source: From the Ground Up, a report by the Notre Dame Student Policy Network in Partnership with the Center for Land Economics

We can see that although all four parcels share the same zoning, the building component of the property tax gives them very different tax assessments per square foot of land. The tax system actively punishes the affordable housing complex for the crime of being denser than its neighbors.

Some LVT-skeptical YIMBYs also argue that, “Land is already taxed by conventional property tax, therefore we don’t need LVT.” The problem is that YIMBYs generally oppose “impact fees,” which are arbitrary extra costs local governments impose on new development. In Property Taxes are not Land Value Taxes, I argue that the building component of a property tax mathematically amounts to the same thing. I am more than happy to defend property taxes against those that wish to abolish them entirely, but I will continue to insist that the building component of the property tax is distortive in essentially the same way that impact fees are. My position is not to layer on an additional LVT but to lower (or eliminate) the effective tax rate on buildings, and simultaneously raise it on land.

The final thing I’m updating on is to give more attention to other ways of capturing land value than LVT alone, such as through ground rent leases. Jeff Fong, a prominent member of YIMBY Action (as well as our board of advisors), has an excellent piece called Georgism through Land Leasing that explores this potential.

That’s it for the “Land is a Big Deal” thesis. Here’s how I’ve changed my thinking on the other two articles.

In Part 2, Can Landlords Pass Land Value Tax on to Tenants?, I read more than a dozen papers on tax incidence and capitalization effects of land value tax and conventional property taxes. The evidence overwhelmingly showed that LVT is not passed on to tenants.

However, I’ve since found at least one condition under which LVT can be “passed on” to tenants: when housing is pervasively rent-controlled, and landlords are granted a special exemption to raise rents in direct response to tax increases.

To understand why, let’s review the traditional argument for why, in general, LVT is not passed on to tenants. Rents are not set by a landlord’s costs or desires but by supply and demand. The opposing view, the “cost plus” theory of rental pricing, makes several testable hypotheses, which this research brief by the Progress and Poverty Institute evaluates.5

For instance, if landlords reflexively pass on costs (including holding costs like land value taxes) as higher rents, doesn’t that also imply they should cut rents when their costs decrease? Mortgage interest rates have fallen sharply over the past 40 years, yet rents have increased over the same time. Also, landlords who own their properties outright (and thus have no mortgage interest costs) don’t seem to charge different rents than nearby landlords of equivalent properties who are still paying off their loans.

However, these conditions don’t hold under pervasive rent control. If the prevailing rent is already well below what the market will bear, and a landlord is specifically allowed to raise rents by the increased tax amount to some new level that is still below true market rent, then logically, the tax will be mechanically “passed on.” This appears to be the case in Denmark, according to a 2024 paper by Nielsson, Wroblewski, and Yding.

Here’s a diagram illustrating the effect.

Without pervasive rent control paired with a special landlord tax break, the picture would look more like this.

To raise rents in response to taxes, the tax must affect the supply of housing somehow. For taxes on buildings, this mechanism is obvious. Taxing buildings reduces the labor and capital spent producing and maintaining them, just like development impact fees. Less supply of buildings, with unchanged demand, means higher building prices.

Land, however, is not built. Land is inelastic in supply, and landowners don’t “provide” land the way laborers provide labor and investors provide capital; they un-provide land by excluding others from using it. Building supply can change in response to a tax change, but land supply cannot.

The Nielsson, et al. paper’s finding does make me discount the older Danish paper I cited in my second article somewhat, and I’m updating that there is at least this one exception that policymakers should be aware of. However, I don’t think Nielsson, et al. have made a convincing general case outside of these specific conditions, because the Danish case is only one data point among more than a dozen others, and the pass-through mechanism they describe is so narrow, specific, and clearly explainable.

An explanation sufficient to convince me otherwise would need good answers to these four questions:

  1. Why don’t landlords cut rents when their operating costs fall?

  2. When landlords threaten to raise rents in response to a future land value tax, why don’t they just raise the rents right now? Why do they have to wait until the tax is enacted?

  3. Why do property developers subtract all holding costs (which would include both land value taxes and conventional property taxes) from their net operating income, which fully capitalizes into a lower offering price in their discounted cash flow pro-formas?

  4. Will rents/housing prices, ceteris paribus, rise or fall in response to all property taxes in a jurisdiction being suddenly abolished?

I’ve always been happy to concede that the research on conventional property taxes has been more mixed, with some studies finding full capitalization, others finding partial capitalization, and yet others finding full pass-through. My understanding is that in those cases, local results depend on how responsive the supply of buildings is to marginal tax changes, which varies considerably from place to place. It makes sense that if you’re in a very NIMBY area that never builds anything no matter what, a tax change is unlikely to affect local supply.

Now, on to how I’ve updated my thinking in the final article on land valuation.

In Part 3, Can Unimproved Land Value be Accurately Assessed Separately from Buildings?, I researched how assessors and academics estimate land value. I concluded: “It’s quite plausible but not a slam dunk. That said, if the objection is, ‘valuing land separately from improvements is fundamentally impossible, and we can never get better at it, so we shouldn’t try,’ I think that’s plainly ruled out.”

This is the article I feel has aged the least well—not because I’ve drastically changed my conclusion, but because for years now I have been studying property taxes, interviewing assessors, and evaluating valuation methodologies as my full-time job, which has given me a much better understanding of the details and procedures.

I have many updates on this topic, but we’ll start with the biggest one, which comes from South Korea, an existence proof that at least one country can do this efficiently and regularly on a national scale.

For my article How to Value Land: Korean Style, I interviewed Korean researchers Jinsu Lee and Vitnarae Kang and read hundreds of pages of dense Korean-language6 procedural documents published by MOLIT.7 The short version is that South Korea values all its land—the land value specifically, not just the total value—every year, down to the individual parcel, and gets the entire operation done in five months flat.

This is organized as a simultaneous joint effort by national and local governments, with the national government responsible for 500,000 “standard parcels,” chosen as locally representative parcels of that type in any given area. In all but exceptional cases, each “standard parcel” receives no less than two individual appraisals,8 and the final valuations for these are handed to local governments as valuation anchors. The local governments are then responsible for valuing all other parcels in their jurisdictions. This simultaneous top-down and bottom-up collaboration combines irreducible local knowledge with centralized support and standardization.9

Standard parcels in Seoul, marked in magenta. Generated by me in QGIS from South Korea’s public data

The Korean case reveals that many arguments against land valuation’s feasibility are fundamentally provincial. The first such example is Wales, where a land value tax is being actively considered and where the government commissioned a report on the feasibility of land valuation, employing no fewer than six separate consultants. Although the findings seem comprehensive at first glance, not one of the consultants examines the Korean system, the single most relevant international example, in any detail. The closest we got was a single line in a report by Alma Economics, which buried the lede as follows:

In Korea, for instance, about 1,300 appraisers (2011 data) value sampled plots, with prices extrapolated to adjacent plots.

Another good example is Sam Watling’s “The failure of the land value tax,” published in Works in Progress magazine last March, which details the Liberal Party’s failed push for a UK land value tax in the early 1900s. In “Contra Watling on the failure of the land value tax,” I show that Watling’s assertion that a “pure” land value tax has never been implemented is plainly contradicted by easy-to-find historical examples, several of which even occurred at the same time as his singular UK episode. As for his other claim that land valuation is practically impossible, his main proof is simply that the UK couldn’t pull it off more than a hundred years ago, paired with the unevidenced assertion that the UK can’t manage it today. As of this writing, the UK’s per capita GDP is $24K higher than South Korea’s, and it has 18 million more people. The state capacity limits that he asserts prevent Britain from successfully implementing LVT would be a specific local dysfunction, and would presumably impede any reform the country pursued to address its housing crisis.

As for the Korean methodology itself, I was surprised at how little “magic” I found when digging into the details. The key differences from what I was used to were procedural and organizational. The valuation techniques themselves were no different from what you would expect to find in a particularly well-run Texas or North Carolina appraisal office. This brings me to my next major update.

This will come as no surprise to anyone with a background in data science, but data quality and running a tight ship matter far more than which cutting-edge predictive methods you pick. South Korea is a great example, but other things I discovered kept pointing to the same finding.

First, I’ve learned that there’s a vast gulf between the world of academia and the world of working assessors. This gulf is not necessarily about knowledge or skill—I know many equally brilliant assessors and academics—it’s simply the traditional divide between pragmatic practitioners and theoretical researchers. Whereas academics are obsessed with r-squared metrics and pristinely crafted multivariate regression equations, assessors are obsessed with whether Jimmy has uploaded new sketches for the River Heights neighborhood yet, if Nancy’s new model can produce adjustments compatible with the new comp grid meant for valuation defense, and if anyone can get the damn CAMA10 vendor on the phone about whether that bug from six months ago has finally been fixed.

I’ve tried my best to help bridge that divide. My Mass Appraisal for the Masses article series is meant to help outsiders understand assessors, and my open-source Python library OpenAVMKit helps assessors understand and use academic machine learning models. I also routinely attend industry conferences; come see my presentation this year at IAAO National in Calgary, or next year at GIS/Valtech in Louisville, Kentucky!

Second, in Amateurs talk Algorithms, Professionals talk Data Cleaning, I explain that the single most important thing any office can do to improve its results is to check its data for invalid and anomalous sales, as well as mismeasured or unobserved building characteristics (particularly physical condition). The most valuable part of OpenAVMKit turned out not to be the fancy machine learning predictors, but simply better heuristics for detecting and diagnosing bad data inputs.

Third, I’ve changed my mind about the cost approach and now believe it is basically fine. For context, the “cost approach” estimates a building’s value by using construction cost tables to calculate the cost to rebuild a property, then applying depreciation based on age and condition. This was a method I criticized somewhat naively in my last article without fully understanding how and where it should be used. In fact, the prevailing methodology used in property tax offices in the United States, the “sales-adjusted cost approach,” yields reasonable land values as a side effect, at least when it’s performed correctly. I describe this method in How Appraisers Value Land, an interview conducted with veteran North Carolina property assessor Thomas Holding, who has thirty years of experience on every side of the appraisal industry, public and private, fee appraisal,11 and mass appraisal.12

Fourth, in How Georgists valued land in the 1900s, I researched how land was valued in the United States before the advent of computers and discovered a method favored by turn-of-the-century Georgists called the Somers system. Their secret? They just asked people what the land values were.

The Somers system sounded crazy to me at first, but the historical records indicate it was a serious method used for decades throughout the United States. The facilitators held a series of meetings where they gathered locals together and asked their opinions about relative land values, street by street. The whole assembly would argue back and forth until it reached consensus, which the moderator would record on a gridded map on the back wall. The goal was to encode relative values based on irreducible local knowledge, then calibrate them against market evidence to produce absolute valuations. This method gradually waned sometime around the 1950’s, but you can still detect tiny vestiges of it in the IAAO’s modern land valuation course.

The most striking feature of the Somers system is that it was specifically optimized for maximum community buy-in. It did this by inverting the usual process of doing valuations first and then hearing citizen protests. Here, the “protest” phase came first, and valuations themselves flowed directly from citizen feedback. Although the Somers system is no longer in use in any jurisdiction I know of, more than one appraiser I’ve interviewed has said they have independently re-invented some variant of the method for areas with thin sales by gathering locals together and asking them to assign values to different areas by consensus.

Fifth, I discovered that even surprisingly crude land valuation methods can still work. In the late 1800’s, the German colony in Qingdao, China, instituted an aggressive tax on the unimproved value of land. Although Imperial Japan eventually conquered it and ended the LVT experiment, the regime lasted long enough, and the LVT was levied at a high enough rate (a whopping 6%), for the expected theoretical effects to be clearly observed. The case of Qingdao is well known, but a researcher recently discovered new German-language primary sources, including meticulous budget records and even full-color land value maps. These documents reveal that the land valuation methodology was to simply carve the city up into tax districts which locals judged to be of similar value and assign the same flat land value rate to all parcels within them.

One of the chief things this style of land assessment gets right is ensuring local uniformity of land valuation for all parcels locals judge to be economically similar. This gives a potential answer to the question I raised in the last article: how good do land values have to be to be “good enough?” The Qingdao case, as well as other cases I’ve encountered, has led me to believe that the most important features of good land valuation are to:

  • broadly track market value and stay up to date

  • comport with local common sense expectations

  • be locally uniform across similarly situated and zoned land

One deputy chief assessor told me that one category alone—complaints about unequal side-by-side property valuations for neighboring properties—accounts for fully 40% of his office’s annual protest volume. We uncovered exactly these kinds of horizontal inequities in our report on side-by-side land valuation anomalies in Baltimore, Maryland. Vacant lots in neighborhoods were valued at nominal rates, while equivalently zoned, similarly sized improved lots next door would have their land valued for ten times more on a dollar per square foot basis, providing a large subsidy to vacant lot owners and shifting the tax burden to homeowners and businesses.

This error was simple to explain and easy for local stakeholders to understand. Shortly after our report went live, SDAT, the Maryland state agency responsible for valuation, announced an initiative to address the problem and has now begun correcting the undervaluation of vacant land.

Another common mistake is treating vacant land as having only nominal value and misapplying the “allocation method,” where land is assigned a fixed percentage of total property value, such as 20%. Assessors are supposed to apply the allocation rate to the prevailing median property price in the local area, thereby arriving at a uniform local land rate. When using this method, all similar land in the same area should be assigned the same local land rate.13 Instead, some assessors will mistakenly multiply each individual parcel’s total assessed value by the same fixed rate to arrive at a land value, resulting in land values that jump sharply from parcel to parcel, even when they all have essentially the same size, zoning, and location. This diagram illustrates the difference.

I demonstrate in my article Valuing Land: The Simplest Viable Method that, although we can and should value land more precisely than this wherever we are able, even this dead-simple land valuation method is sufficient to achieve the economic incentives of LVT. Qingdao provides us at least one empirical proof of that approach working in real life. Jurisdictions should make sure baseline land valuations meet this minimum standard.

I’ve also updated big time on what the single most dangerous mistake with land valuation and property valuation in general is: not updating your values. The North Star of property tax valuation is “equal and uniform,” and massively out-of-date valuations make a mockery of this principle.

“Equal and uniform” means everything should be valued by the same consistent rule, and similar properties should be similarly calibrated to their revealed market value. Even when mass appraisal methods involve estimates or errors, those estimates and errors should be applied consistently under a transparent rule.

However, if property values haven’t been updated in twenty years, then the valuations have almost no relationship whatsoever with what the market is currently paying for those properties. Some people will be paying far more than their house is worth, and others will be paying far less. This is also why “just value the house at exactly what it sold for” is such a bad idea, because not every home sells every year. If you were to do that, a neighborhood full of identical houses, all starting at $100K, with prices going up by an average ~$10K a year, will look like this after ten years, with massive side by side inequities in valuation based purely on when a home sold, even though they all would sell for about the same price today.

Simple fairness and equal treatment under the law should be enough to establish regular reassessments for property tax purposes. If you’re an LVT advocate, however, the stakes are even higher, and there’s no better illustration of the cost of stale valuations than the repeal of Pittsburgh’s LVT.

Pittsburgh is one of several Pennsylvania cities that have historically had a split-rate property tax. However, long-delayed valuations followed by a poorly implemented revaluation triggered a tax revolt that led to the policy’s reversal. LVT advocates need to honestly grapple with this failure case if we hope to avoid it in the future.

Stale valuations create several problems at once. First, when valuations were finally updated, taxpayers got sticker shock because they had gotten used to values never changing. Second, the local government had become dependent on an outsourced vendor to perform the valuations. Third, public messaging was poor, and the outsourced valuations were opaque, drawing sharp criticism and widespread protest. One thing led to another, and the split-rate property tax was repealed.

This is another place I notice the provinciality of objections. In the Northeast, where many jurisdictions revalue infrequently, many see revaluations as inherently fraught, expensive, and politically risky. At the same time, I know plenty of jurisdictions in the Sunbelt that uncontroversially revalue on three-, two-, or one-year cycles and efficiently process enormous volumes of routine property tax protests.

Revaluation only seems daunting for the same reason that going to the gym does when you haven’t done that in a decade, either. The more frequently you revalue, the more quickly you notice and fix errors in your data, bugs in your process, and anomalies in your algorithms. You’ll have better accuracy, better horizontal uniformity, and better vertical equity. You’ll also get better at explaining and defending your values to the public. If you do the reps, you’ll get the gains.

On the other hand, if you let revaluations slide four years, then six, then 10, soon no one in the office will have been around for the last revaluation, let alone anyone who gains compounding experience and knowledge year over year. Before you know it, you’ll be on the phone with an outsourced vendor who knows they have you over a barrel, insisting on a multi-million-dollar contract, take it or leave it.

The good news is there’s hope. Decades after Pittsburgh’s LVT repeal, members of Pro-Housing Pittsburgh got so tired of the mounting valuation inequities that they took matters into their own hands. They downloaded OpenAVMKit, fed it local public data, and built their own AVM. They generated fresh valuations, ran statistical tests, and proved that their values tracked market value more closely than the outdated official figures.

Finally, the last thing I’ve learned is the answer to the last unanswered question.

The short answer is cars.

The long answer is that America is a nation with a frontier mentality which has lost its frontier.

The looooong answer is so long it takes two articles to explain: What happens when America’s Monopoly board fills up?, and The Housing Ladder’s Broken Promise.

Let me summarize key parts of those here.

The frontier was always America’s answer to the land problem, and it still is in many people’s minds. “Just work hard, save money, and buy cheap, high-opportunity land, as I did.” The first American frontier was literal: “Go West, young man.” It worked out great for the settlers, and less great for those excluded from it (Indians, slaves, and others). When the first frontier closed, the first Gilded Age dawned, as did the scarcity and inequality that stirred Henry George to action.

However, in the century that followed, amid two world wars and a great depression, we also invented the automobile, and with it the ability to sprawl. Whereas before you had to live close to your job, fighting over scarce supply and struggling under crushing land rents, now you could keep a nice paying job in the city but live cheaply out in the suburbs. The power of sprawl released land-rent pressure for about a century. Ironically, George should have predicted this effect, as it’s a straightforward application of Ricardo’s Law of Rent.

To be sure, sprawl came with a cost—massively inefficient use of land, environmental damage, fossil fuel consumption, weak municipal finance, redlining—and it also had natural limits, because commutes can only get so long. However, America was happy to pay those costs, and it served its purpose for as long as it lasted. Unfortunately, the second frontier is now effectively closed. Pressure is mounting again, and a time has dawned that historians are already calling the Second Gilded Age.

Switching gears, I’d like to take a moment to talk about how weird it is that talking about land value tax is somehow my full-time job.

Everything happened so fast.

After I wrote the LVT articles, my social media feeds suddenly blew up. My DM’s overflowed. Famous personalities like Noah Smith, Vitalik Buterin, and Scott himself endorsed my book. I got cold calls from prominent writers and politicians wanting to talk to me about land value tax, and I even got invited on a tiny up and coming podcast by some guy called Dwarkesh. Scott gave me a research grant from ACX to study land valuation, which led to an opportunity with a venture-backed property valuation startup.

Then, barely a year later, tragedy struck.

On October 20, 2023, while undergoing a routine medical test, my 7-year-old son, Nikolas, suffered a catastrophic brain injury, leaving him alive but severely disabled and in need of constant, intensive care. We were shocked, devastated, grief-stricken. There are no words profound enough for such a loss, and yet, there was no time to process or mourn. Overnight, my wife and I were thrust into the relentless world of full-time caregiving, all while parenting our other two children, working full-time, meeting family and community obligations, and battling the medical insurance industrial complex to avoid going bankrupt. On November 8, 2024, a little over a year after his brain injury, Nikolas died suddenly from cardiac arrest. I quit the startup and almost everything else in my life.

At this point, I was forty years old and had just lost my beloved son. I had no idea what I’d do next or how I’d take care of my family. I gave up on the movement, my career, and every dream I’d ever had. That’s when I got a call from a young man named Greg Miller.

I remembered Greg. He had originally reached out while I was still working for the startup, when he was working for the federal Department of Housing and Urban Development (HUD). This was in the immediate wake of the Lahaina wildfires in Hawaii in August 2023, and Greg wanted to discuss policy recommendations for deterring “disaster speculators” who liked to take advantage of families’ grief to buy their land for cheap right after a disaster.14

It had been more than a year since then, and Greg had just taken over as head of the Tom Johnson Foundation, another ACX grantee I had helped get started as an outside advisor. Greg’s pitch was that with my theoretical and technical background, and his policy chops and personal network, we should be able to make significant progress in getting LVT policies enacted throughout the United States. Besides, I needed a job anyway, right? I said yes.

We re-christened the Tom Johnson Foundation the Center for Land Economics, revived the then-sporadically updated Progress and Poverty substack with a new weekly posting schedule, and got to work. The results are chronicled above.

On behalf of my wife and me, I’d like to say that Greg Miller was there for me in the darkest and most hopeless moment of my life, throwing me the lifeline I needed to pull me out of the deepest emotional pit my family has ever been in. If it wasn’t for him, however things would have turned out, I certainly wouldn’t be involved in the LVT project today. I will forever be grateful to him.

So, how have we accomplished everything we have in the (less than) two short years the CLE has been around? That was another big lesson.

All of this started with writing blog posts, and much of what came later at the Center for Land Economics also came from writing blog posts.

Getting even one local land value tax implemented in the USA requires many stars to align. You need a jurisdiction with surmountable legal barriers, decent land assessments, a persuadable local government, and a capable and motivated local activist. If you go searching for that needle in a haystack with your bare hands, you’ll never find it. However, if you stop searching with your hands and start searching with a magnet, you’ll find it immediately, because then the needle finds you.

I could never have accomplished any of this without the people who have helped me along the way. I also could never have found those people by myself, because I wouldn’t have known to reach out to them, or how. Instead, they reached out to me. Not because I’m rich and famous, or well connected and influential, because I am none of those things. Nor was it because I lived in one of the cool global cities where such connections are naturally forged just by going to parties, because I can’t afford the land rent, so I live in some Texas town nobody outside the state has heard of.

No, the only reason I’m writing this today is that I wrote a book review for a contest, and a lot of people liked it.

But why did they like it?

Why did so many people reach out to me?

Why did the LVT movement hijack my entire life?

I don’t think it’s because I’m particularly smart or persuasive. I think it was something else. I think my articles took off because I put into words something many people were already thinking.

When my son died, I spent a lot of time thinking about what I wanted out of life and whether it would be better to give up on this whole LVT project, whether it was all in vain or just some pointless, ego-stroking pursuit.

Then I thought about how much AI is driving real estate prices up. I thought about how politicians in Texas and Florida are trying to abolish property taxes, and the disastrous effects that will have if nobody offers a credible alternative. I thought about how many young people say they’re putting off getting married and having kids until they can afford a house. I thought about how my house has nearly doubled in value, even though it’s definitely not in any better shape than when I bought it. I thought about how I could never afford to buy a house today in the same neighborhood I grew up in, and how there are no trick-or-treaters there on Halloween anymore. I thought about how little my wife and I used to pay in rent, how lucky we were to buy a house at just the right time, and how expensive housing will surely be by the time my daughters grow up.

Land is a big deal.

By George, let’s do something about it.

If not for ourselves, then for all the children counting on us to share the earth with them.

Sincerely,
Lars A. Doucet
Center for Land Economics
Progress & Poverty Substack

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