La ciudad lineal
When does it make sense to organize most of your urban activity on a (more or less) straight line?
If land transport is very costly, as in much earlier times, and a river is available, you might build much of the town right on the river bank. You can see remnants of this if you travel along the Rhine, though those developments have since expanded in other directions. Volgograd partially matches this description as well, or so I am told. But since river transport has declined in importance, such modes of urban organization have fallen out of favor and for obvious reasons.
Might some new technology resurrect the relevance of linear spatial organization?
Perhaps a very rapid airport people mover can make linear organization non-crazy, but I do not see that it would privilege linear organization. Does not Istanbul airport have a fairly linear structure? But how scalable is that?
The Saudi plans for Neom attempt to resurrect a very strong and strict linear model, based on a new mode of transport. From Wikipedia:
The Line is eventually planned to be 170 kilometres (110 miles) long. It could stretch from the Red Sea approximately to the city of Tabuk and could have nine million residents, resulting in an average population density of 260,000 per square kilometre (670,000/sq mi)…Early plans proposed an underground railway with 510-kilometre-per-hour (317 mph) trains that could travel from one end of The Line to the other in 20 minutes.
Supposedly all the shops and sites would be within a five-minute walk of line stops.
Of course this plan may not happen. But the 317-mph train is essential to the idea. Just hop on, and travel at super-rapid speeds to where you want to go. Presumably there are enough tracks with enough stops, like those newish programmable elevators, that you won’t have to accelerate and decelerate too many times. But, as the number of desirable stops proliferates, that ends up translating into an impractical number of separate individual train tracks.
The core problem seems to be that a linear city requires both super-rapid transport and not too many desirable stops. It is hard to pull off that combination in the modern world.
Is Conakry the closest the world has to a truly linear city?
Probably that map is a bear sign for the idea.
To read about this topic, you might try:
von Thunen, The Isolated City.
Arturo Soria y Puig, La Ciudad Lineal.
Cerda, The Five Bases of the General Theory of Urbanization, edited by Arturo Soria y Puig.
N.A. Miliutin, Sotsgorod: The Problem of Building Socialist Cities.
And ask your local GPT.
Monday assorted links
Buenos Aires
Recommendations?
52 things Tom Whitwell learned in 2024
Here is one of them:
In the 2020s, over 16% of movies have colons in the title (Like Superman: Man of Steel), up almost 300% since the 1990s.
And:
The Telugu-language action film Devara: Part 1 made more money ($5.5m) in US cinemas than Francis Ford Coppola’s $120m Megalopolis in its first week ($5m).
And:
In 2024, around 10% of Anguilla’s GDP will come from fees for its .ai domain name.
And:
In 1800, 1 in 3 people on earth were Chinese. Today, it’s less than 1 in 5.
Here is the link. Via Sridhar Prasad.
Austin Vernon on drones (from my email)
The offensive vs. defensive framing seems wrong, at least temporarily. It should be motivated vs. unmotivated, with drones favoring the motivated.
A competent drone capability requires building a supply chain, setting up a small manufacturing/assembly operation, and training skilled operators. They need to manage frequencies and adjust to jamming. Tight integration of these functions is a necessity. That favors highly motivated groups with broad popularity (recruiting skilled talent!) even if they are nominally weak.
Conversely, it can be challenging for overly corrupt or complacent organizations to counter. They are also more likely to fracture and lose cohesion when under attack.
We’ve seen HTS, Burmese rebels, and Azerbaijan all have a lot of success with drones. Ukraine went from hopelessly behind in drone tech to leading Russia in innovation in many niches.
It seems reasonable that the barriers to entry for a motivated drone “startup” will go up. The US military has effective, expensive interceptors like Coyote Block II to counter small attacks in locations like Syria. Fighting larger entities requires pretty absurd scaling to match enemy numbers and the low per-flight success rate – Ukraine claims they might produce millions of drones this year. Hamas had initial success attacking Israel on Oct. 7 but didn’t have the magazine depth to defend themselves.
AI targeting, the necessity of specialized components to defeat electronic warfare, and cheaper drone interceptors are all factors that could upset this balance. Entities that have the scale to deploy an AI stack, true factories, and specialized components should gain the advantage if the rate of change slows.
*Land Between the Rivers*
The author is Bartle Bull, and the subtitle is A 5,000-Year History of Iraq. Excerpt:
Another is the extraordinary length of what might be called an East-West conflict in Iraq. The Roman-Persian wars lasted from 54 BC until 628 AD. Nine centuries later a version of the conflict resumed, when the Ottoman Turks made Constantinople again the capital of a strong empire, taking on much of the organization of the Second Rome; and when Iran’s Safavid Empire saw Persia at least whole and imperial once more for the first time since the Muslim invasions of the seventh century AD. The Ottoman-Persian wars, adding an additional layer of Sunni versus Shia, lasted from 1507 until 1823. More than anywhere else, these conflicts took place in Iraq. An expansive view would have them beginning on Iraq’s soil with Alexander the Great in 331 BC and continuing well into the twenty-first century.
A good book I thought.
Sunday assorted links
2. A new paper on the diminishing returns to research.
3. Those new service sector jobs: “How to Make $100 an Hour Scratching Someone’s Back.” (WSJ)
4. Shruti podcast with Pravin Krishna on trade.
5. Jennifer Doleac on what we get wrong about crime (NYT).
6. “Eyeballing the results, something like >80 of the top 100 scorers on the Putnam are at MIT“
How to read a book using o1
You don’t have to upload any book into the system. The Great Cosmic Mind is smarter than most of the books you could jam into the context window. Just start asking questions. The core intuition is simply that you should be asking more questions. And now you have someone/something to ask!
I was reading a book on Indian history, and the author reference the Morley reforms of 1909. I did not know what those were, and so I posed a question and received a very good answer, read those here. I simply asked “What were the Morley reforms done by the British in India in 1909?”
Then I asked “did those apply to all parts of India?”
You can just keep on going. I’ll say it again: “The core intuition is simply that you should be asking more questions.”
Most people still have not yet internalized this emotionally. This is one of the biggest revolutions in reading, ever. And at some point people will write with an eye toward facilitating this very kind of dialogue.
o1 explains why you should not dismiss Fischer Black on money and prices
The prediction of inflation dynamics—how prices change over time—has increasingly confounded modern macroeconomists. Throughout much of the twentieth century, there seemed to be clear relationships linking the money supply, economic slack, and price levels. Monetarism, the school of thought that posits a stable connection between the growth rate of a money aggregate and the subsequent rate of price inflation, emerged from these apparent regularities. However, in the decades since, inflation’s behavior has grown more elusive. At present, even the most sophisticated forecasting models struggle to produce accurate predictions, and this persistent difficulty has led many economists to abandon or at least sideline monetarist frameworks, even as broad conceptual approximations of what drives price-level changes.
Several factors have contributed to the increasing complexity and unpredictability of inflation. First, the financial innovations and regulatory changes of the late twentieth and early twenty-first centuries dramatically altered the relationship between money and economic activity. Monetary aggregates—like M1 or M2—that once served as dependable indicators of policy stance and future inflation now behave erratically due to shifts in the velocity of money, the proliferation of shadow banking, and the globalization of financial flows. Simply put, where money resides and how quickly it moves through the economy has become too fluid and too complex for older monetarist simple rules to capture.
Second, the nature of central banking and fiscal policymaking has changed. Central banks now intervene in a host of unconventional ways, from massive purchases of financial assets to the forward guidance of policy expectations. These tools are not well-explained by the classic monetarist perspective, which centered on controlling a particular measure of the money supply. The recent experience following the Global Financial Crisis vividly illustrates this: The Federal Reserve and other central banks undertook unprecedented quantitative easing programs, dramatically expanding their balance sheets. According to traditional monetarist logic, this rapid increase in the monetary base should have led to substantial inflation. Yet inflation remained persistently below target levels in many advanced economies for years, confounding those who relied on old monetary aggregates as a guide.
Third, the determination of prices today involves a bewildering interplay of global supply chains, technological advances, labor market transformations, and shifts in consumer behavior. Globalization means that prices for goods and services are influenced not just by domestic monetary conditions, but also by distant supply shocks, currency fluctuations, and international competition. Technological change increases productivity and can compress prices in certain sectors, while leaving other parts of the economy less affected. Labor markets have also evolved, with changes in union power, demographic shifts, and altered labor-force participation patterns influencing wage formation and cost pressures. These micro-level frictions and structural changes make the older macro-level equations linking money supply growth to inflation too coarse and imprecise.
Expectations add another layer of complexity to predicting inflation. Modern theories emphasize the importance of how households and firms anticipate future prices. If inflation expectations are well-anchored—due perhaps to the credibility and transparency of central banks—then inflation may remain muted even in the presence of large monetary expansions. This expectations-driven feedback loop can be fragile and influenced by factors that monetarist models never fully accounted for, such as long-standing policy credibility, real-time policy communication, and evolving social norms around price-setting.
The persistent difficulty in accurately forecasting inflation has thus fostered widespread skepticism regarding monetarist frameworks. Economists have increasingly turned to more eclectic, multi-factor models that mix elements of behavioral economics, sectoral and supply-side analyses, and forward-looking expectation frameworks. In these models, money plays at most a peripheral role, subsumed within larger financial conditions indexes or treated as a secondary variable rather than a primary determinant of prices. While many of these frameworks remain works-in-progress, they arguably do a better job reflecting the messy reality of modern economies than the neat but now outmoded equations of monetarism.
Moreover, as central banking has shifted toward inflation targeting and the careful management of expectations, the levers of policy have diverged even further from the simple control of monetary aggregates. Instead, policymakers pay more attention to interest rates, output gaps, and inflation targets. Market participants and researchers look to high-frequency data, surveys of inflation expectations, measures of wage growth, and detailed sectoral price indices to glean insights into future inflation trends.
In sum, today’s difficulty in predicting inflation stems not from a lack of effort or sophistication on the part of economists, but from a world that has grown too complex for the old, more mechanical relationships. As the empirical evidence over recent decades has mounted, it has pushed policymakers and scholars away from monetarism. Central bankers and macroeconomists have concluded that merely tracking money supply is insufficient to explain or predict the course of price levels. They have rejected monetarism not out of ideological bias, but because the data and events of recent history have shown that the old assumptions and simplifications no longer approximate the reality of modern inflation dynamics.
Here is the link, and I will add a few points:
1. o1 is a very good economist. Try to stump it if you can.
2. I am very familiar with Scott Sumner’s monetary theory arguments about medium of account, cash balances, and the like. I grew up with those in pretty much the same manner that Scott did. That said, after decades of watching the data, I have surrendered many of my earlier intuitions.
3. I actually stand to “the quantity theory side” of the current macroeconomic consensus. That is, I think the quantity theory is sometimes quite relevant, such as right after the pandemic, when the inflation rate rose considerably along with M2 aggregates. But often quantity theory modes of thought are far less relevant, and we do not have a good theory for distinguishing when. Note that a lot of the empiricists who work in this area, say for the Fed, do not think money supply magnitudes are very relevant at all. If anything, I am leaning in Scott’s direction, rather than going out on a limb relative to mainstream doctrine.
4. Basically, the people who dismiss the Fischer Black view would have a tougher time of it if they started with this evidence.
5. In Scott’s comment on his post he starts by citing me and then writes: “[TC] I read Scott as significantly overrating the forecasting power of the nominal in the data. [end TC]” No, that is misreading me. My post wasn’t considering the forecasting power of nominal data. For instance, I don’t believe that changes in the money supply are a good way of forecasting inflation. My post was a critique of the view that central banks cannot control inflation, i.e., the view that they do not affect nominal variables. I was not claiming that they have perfect control over inflation.”
A few points: a) I read Scott in general as overemphasizing the nominal, it wasn’t a comment about that post per se. The data on inflation dynamics show how poorly we understand the nominal. b) we still need a good way of thinking about inflation, and that re-opens the door to Black-like insights, and c) neither Black nor I claim that central banks cannot affect nominal variables. They do this best when people think they can, or when they are willing to act irresponsibly with the currency or possibly monetary base lever. But often they are not willing to act irresponsibly, so much of it boils down to expectations. That is close to Black’s view, though I think he overemphasized expectations as the sole relevant factor.
Noah Smith presents Ryan Oprea
But a new paper by Ryan Oprea challenges the idea that we even need something like Prospect Theory at all. Oprea hypothesizes that a lot of the seemingly “irrational” experimental behaviors are really just due to the excessive complexity of the task they’re being asked to do. He does an experiment where he takes away all the risk in the decision — there are no probabilities and no losses involved. One option just gives you more money than the other. And yet experimental subjects still make mistakes that look a lot like the “irrational” choices they make in Kahneman-type experiments. Eric Crampton has a good blog post summarizing the details of Oprea’s experiment.
So it’s possible that a lot of what looks like “irrationality” is just human beings being unable to deal with complex calculations. That doesn’t kill the idea of behavioral economics — it just means we need different theories about why people don’t act like homo economicus.
Here is the link to Noah.
Saturday assorted links
1. Brazilian economists are seeking a kind of occupational licensing (Portuguese).
2. Sovereign AI project for Thailand?
3. Is there a law for AI “capacity density”?
4. More on AI and board games.
5. Royal Mint honors Macca with his own coin.
7. o1 for a cancer therapy project.
8. Reinforcement fine tuning (2nd day of Christmas!).
Markets in everything, personal fire hydrant edition
The latest sought-after home amenity? Personal fire hydrants. The logic is that when there’s a major disaster there may not be enough fire engines to protect every house in an area. If homeowners have their own hydrant ready to go—along with hoses, nozzles and adapters—and are trained to use it all, that could help reduce the number of homes destroyed.
Real-estate agents say mentioning a personal fire hydrant in the marketing materials now helps sell homes. “People notice it. It’s definitely a plus,” says Stephen Kotsenburg of Christie’s International Real Estate, who has the listing for a four-bedroom, three-bathroom, 3,388-square-foot home in Park City, Utah. It’s on the market for $2.1 million and advertises a fire hydrant, which is painted bright red and is visible as you come up the driveway.
Victoria Waldorf is the listing agent for a five-bedroom, three-bathroom, 4,691-square-foot house that is for sale for $1.775 million in Agua Dulce, Calif. She says she points out the personal fire hydrant to everyone who comes through for a viewing. “There’s relief in people’s faces,” she says.
Here is more from the WSJ, via Daniel Lippmann.
How is the Russian war economy doing?
Here is a gloomy account from Vladimir Mirov:
Ruble depreciation will contribute to inflation even further, as Russia is continued to be heavily reliant on imports – this is a kind of self-sustaining spiral. I also strongly disagree with those who say that cheaper ruble is “good” for exporters and the budget. Exporters have yet to make good use of devaluing ruble – which they can’t do, because Russia is under all sorts of embargoes, and China and other Global South countries are not opening their markets to most Russian goods. As to the budget, the effect is much more complex than many consider: on one hand, budget gets more rubles from export revenues due to ruble depreciation, while minimizing ruble-nominated costs. On the other hand, though, higher inflation and costlier imports will, in my view, more than offset these budget-positive effects.
I think we have to look at the situation in a more complex way. Sharp ruble depreciation is a mere illustration of Russia’s deepening economic woes. Nearly three years since the beginning of Russia’s full-scale invasion of Ukraine, Russian economy is stranded. No new sustainable economic model has been found. Import substitution is not working. China is only buying our most basic commodities at heavy discounts, while keeping its market closed for other Russian goods. There’s no investment or technology coming into Russia from China and other Global South countries. Everything is dependent on state subsidies – but the government’s financial reserves are running thin. if you listen to industry and business speakers at the most recent economic fora, there’s an endless stream of begging – we won’t survive with state subsidies for this, state support for that, we haven’t got technology, haven’t got investment, haven’t got profitability, haven’t got workforce. etc. Makes one wonder – what have you got then?
There is much more at the link, bearish throughout.
*Vita Nuova*, und *Herzzeit*
There is a new translation by Joseph Luzzi, and I find it an order of magnitude better than the older treatments. It somehow communicates the strangeness of this work in a new and unprecedented way. You can order it here.
I also very much enjoyed my read through the letters of Paul Celan and Ingeborg Bachmann. You can feel all the different stages of their relationship, without even necessarily knowing how the story develops. Max Frisch and Nelly Sachs make cameo appearances. The highlight perhaps is when she writes him a lengthy letter about how he is the one who is actually complicated and unhappy (and not she), and then decides not to send it.
I also enjoyed this part:
Lieber Paul,
nach allem, was geschehen ist, glabue ich, dass es für mich uns kein Weiter mehr gibt. Es ist mir nicht mehr möglich.
Es fällt mir sehr schwer, das zu sagen.
Ich wünsche Dir alles Gute.
Ingeborg
It was not the end of their correspondence.
Paul Krugman retires as Times columnist
Here is the NYT announcement.
I hope they consider Noah Smith as the obvious replacement…