Tag: medicine

Education: Holding On to the Adventure Part of It

Education must hold on to learning-as-adventure or it goes stale.

Here’s a real example:

A man goes to his American Heritage Dictionary, to look up the word “vinaigrette” which he seems to remember as a salad dressing but finds there are as so often happens, other meanings.

The man’s eye looks down and comes across medicinal words close by like “vinblastine” and “vincristine” which have anti-tumor properties and are used in cancer medicine.

If you read the dictionary definitions receptively and thoughtfully you enter a world of tremendous complexity and interest (e.g., alkaloids, plant chemistry, phytochemistry, medicine, etc.). The Madagascar periwinkle plant is mentioned as a source for these alkaloids that become anti-neoplastic drugs. You wonder: why Madagascar? Why periwinkle plants? Why plants? These questions have “nontrivial” answers.

You also wonder about the nature of alkaloids and whether there are some evolutionary reasons why some plants produce food, some poisons (poison ivy, say), and others “good poisons” (i.e., alkaloids that can be made therapeutic through pharmacology).

You perhaps remember the PBS program of years ago about the black genius who did deep work in these and other “phytochemical” fields:

Percy Lavon Julian (April 11, 1899 – April 19, 1975) was a research chemist and a pioneer in the chemical synthesis of medicinal drugs from plants. He later started his own company to synthesize steroid intermediates from the wild Mexican yam. Julian received more than 130 chemical patents.

You can be dismissive and dismiss this “spontaneous questing” as a kind of woolgathering or “lolling about” mentally but the truth is often the opposite: it is only such “productive daydreams” that allow you to penetrate fields and topics and questions and problems by finding a “surprise window” or “backdoor” into them. Serendipity is very related to education, which has both formal or “do your homework” components to it and also a “wander about” one when you’re quite relaxed and mentally receptive.

Going from your “vinaigrette” definition quest, where you started, to wandering off into a deep look at vinblastine, vincristine, cancer, alkaloids and phytochemicals opens up “worlds” to you which is of course at the very basis of real education.

Countries and Deep Patternings: China

China’s High-Level Equilibrium Trap as a Concept

The Pattern of the Chinese Past
Mark Elvin
Paperback: 348 pages
Publisher: Stanford University Press; 1st edition (June 1, 1973)

The 1973 classic work in Sinology, Mark Elvin’s The Pattern of the Chinese Past gives the student an “exemplum” in the kind of scholarship that might be called “pattern-seeking.” Without such attempts, all of history becomes formless and shapeless and an endless parade of “routs and rallies,” and “crimes and follies and misfortunes” (in Edward Gibbon’s catchphrase).

Professor Elvin renders Chinese history through an economic perspective instead of using the common dynastic classification by attempting to answer three questions:

  1. What contributed to the continuity of the Chinese empire?
  2. Why was the Chinese economy the most advanced in the world from the Song dynasty (960-1279) up until the latter half of the Qing dynasty (mid-1800s)?
  3. Why did China fail to maintain her technological advantage after the mid-fourteenth century while advancing economically?

In the first section of the book, the author elucidates the staying power of the Chinese empire was due to the following factors. The economics of defense in relation to the size of empire and the power of its neighbors never became an extreme burden that it rendered the state impotent for any consecutively long period of time. It was always able to reformulate itself after a short disunity or rule by a foreign power of the whole, which only happened twice within a two thousand year period (Mongol and Manchu rule). Two other factors that contributed to the continuity of the Chinese state include a relatively isolated existence from the rest of the Eurasian landmass and the important placed on cultural unity, beginning with the first emperor’s destruction of local records in order to quell local loyalties (pp. 21-22). Both of these factors had been built up over time through a revolution in communication and transportation.

The second section of the book analyses the causes of the economic revolution that occurred between the 8th and 12th centuries and the technological growth that accompanied it. The transformation of agriculture, especially in the south, was the major impetus that fueled the economic growth of this period. This revolution in agriculture had four aspects.

  1. The preparation of soil became more effective as a result of improved or new tools and the extensive use of manure and lime as fertilizer.
  2. Seed improvements allowed for double cropping.
  3. Improvements in hydraulic techniques and irrigation networks.
  4. Specialization in crops other than basic food grains (p.118).

Improvements in transportation and communications were almost as important as agriculture in growing the economy. Water transport saw big gains and led to the golden age of geographic studies and cartography, with envoys traveling as far away as Africa. Money and credit matured during this time helping to expand the economy. Paper money made its first appearance in 1024. Improvements in science, medicine, and technology also occurred during this period. However, despite all these advancements, “this period was the climax and also the end of many preceding centuries of scientific and technical progress” (p. 179). Although the Chinese economy continued to advance from the 14th century on, albeit on a smaller scale, it was not accompanied by improvements in technology.

The last section deals with this phenomenon, describing the distinctive characteristics of this late traditional period (1300-1800), and then proceeding to point out why technological advancements did not keep pace with the growth in the economy. This period sees a rise of small market towns in the sixteenth century and a decline in contact with the non-Chinese world around the middle of the fifteenth century. Also, by the eighteenth century serfdom disappeared, aiding population growth, which had reached 400 million by the mid-1800s. Elvin interestingly points out that the highly sophisticated metaphysics that evaded Chinese intellectual thought during the Ming and Qing dynasties negated any deep scientific inquiry (p. 233). In the attempt to explain the lack of technological advancement, Elvin disputes a number of conventional explanations. Contrary to popular belief, there was enough capital during this period to finance simple technological advances, also there was minimal political obstacles to economic growth.

In short, Elvin believes “that in late traditional China economic forces developed in such a way as to make profitable invention more and more difficult. With falling surplus in agriculture, and so falling per capita income and per capita demand, with cheapening labor but increasingly expensive resources and capital, with farming and transport technologies so good that no simple improvements could be made, rational strategy for peasants and merchants alike tended in the direction not so much of labor-saving machinery as of economizing on resources and fixed capital. Huge but nearly static markets created no bottlenecks in the production system that might have prompted creativity” (p. 314). This condition is what he terms as a “high-level equilibrium trap.” The term “trap” to describe the condition of late imperial China’s technological advancement in relation to the economy is similar to Escape from Predicament, Thomas Metzger’s analysis of the “predicament” that confronted Chinese intellectual thought from the Song through to the end of the Qing dynasty. Both explanations have at their core the idea of late imperial China not being able to generate real sustainable progress internally, stating that it was the Chinese response to the Western threat in the mid to late 1800s that finally brought the needed change.

COVID-19 and “Naïve Probabilism”

[from the London Mathematical Laboratory]

In the early weeks of the 2020 U.S. COVID-19 outbreak, guidance from the scientific establishment and government agencies included a number of dubious claims—masks don’t work, there’s no evidence of human-to-human transmission, and the risk to the public is low. These statements were backed by health authorities, as well as public intellectuals, but were later disavowed or disproven, and the initial under-reaction was followed by an equal overreaction and imposition of draconian restrictions on human social activities.

In a recent paper, LML Fellow Harry Crane examines how these early mis-steps ultimately contributed to higher death tolls, prolonged lockdowns, and diminished trust in science and government leadership. Even so, the organizations and individuals most responsible for misleading the public suffered little or no consequences, or even benefited from their mistakes. As he discusses, this perverse outcome can be seen as the result of authorities applying a formulaic procedure of “naïve probabilism” in facing highly uncertain and complex problems, and largely assuming that decision-making under uncertainty boils down to probability calculations and statistical analysis.

This attitude, he suggests, might be captured in a few simple “axioms of naïve probabilism”:

Axiom 1: more complex the problem, the more complicated the solution.

This idea is a hallmark of naïve decision making. The COVID-19 outbreak was highly complex, being a novel virus of uncertain origins, and spreading through the interconnected global society. But the potential usefulness of masks was not one of these complexities. The mask mistake was consequential not because masks were the antidote to COVID-19, but because they were a low cost measure the effect of which would be neutral at worst; wearing a mask can’t hurt in reducing the spread of a virus.

Yet the experts neglected common sense in favor of a more “scientific response” based on rigorous peer review and sufficient data. Two months after the initial U.S. outbreak, a study confirmed the obvious, and masks went from being strongly discouraged to being mandated by law. Precious time had been wasted, many lives lost, and the economy stalled.

Crane also considers another rule of naïve probabilism:

Axiom 2: Until proven otherwise, assume that the future will resemble the past.

In the COVID-19 pandemic, of course, there was at first no data that masks work, no data that travel restrictions work, no data of human-to-human transmission. How could there be? Yet some naïve experts took this as a reason to maintain the status quo. Indeed, many universities refused to do anything in preparation until a few cases had been detected on campus—at which point they had some data, as well as hundreds or thousands of other as yet undetected infections.

Crane touches on some of the more extreme examples of his kind of thinking, which assumes that whatever can’t be explained in terms of something that happened in the past is speculative, non-scientific and unjustifiable:

“This argument was put forward by John Ioannidis in mid-March 2020, as the pandemic outbreak was already spiralling out of control. Ioannidis wrote that COVID-19 wasn’t a ‘once-in-a-century pandemic,’ as many were saying, but rather a ‘once-in-a-century data-fiasco’. Ioannidis’s main argument was that we knew very little about the disease, its fatality rate, and the overall risks it poses to public health; and that in face of this uncertainty, we should seek data-driven policy decisions. Until the data was available, we should assume COVID-19 acts as a typical strain of the flu (a different disease entirely).”

Unfortunately, waiting for the data also means waiting too long, if it turns out that the virus turns out to be more serious. This is like waiting to hit the tree before accepting that the available data indeed supports wearing a seatbelt. Moreover, in the pandemic example, this “lack of evidence” argument ignores other evidence from before the virus entered the United States. China had locked down a city of 10 million; Italy had locked down its entire northern region, with the entire country soon to follow. There was worldwide consensus that the virus was novel, the virus was spreading fast and medical communities had no idea how to treat it. That’s data, and plenty of information to act on.

Crane goes on to consider a 3rd axiom of naïve probabilism, which aims to turn ignorance into a strength. Overall, he argues, these axioms, despite being widely used by many prominent authorities and academic experts, actually capture a set of dangerous fallacies for action in the real world.

In reality, complex problems call for simple, actionable solutions; the past doesn’t repeat indefinitely (i.e., COVID-19 was never the flu); and ignorance is not a form of wisdom. The Naïve Probabilist’s primary objective is to be accurate with high probability rather than to protect against high-consequence, low-probability outcomes. This goes against common sense principles of decision making in uncertain environments with potentially very severe consequences.

Importantly, Crane emphasizes, the hallmark of Naïve Probabilism is naïveté, not ignorance, stupidity, crudeness or other such base qualities. The typical Naïve Probabilist lacks not knowledge or refinement, but the experience and good judgment that comes from making real decisions with real consequences in the real world. The most prominent naïve probabilists are recognized (academic) experts in mathematical probability, or relatedly statistics, physics, psychology, economics, epistemology, medicine or so-called decision sciences. Moreover, and worryingly, the best known naïve probabilists are quite sophisticated, skilled in the art of influencing public policy decisions without suffering from the risks those policies impose on the rest of society.

Read the paper. [Archived PDF]

Looking Backwards and Forwards at the Same Time

Janus and Bi-Directional Smarts

The Roman god Janus looks backwards and forwards at the same time and learning to be somewhat Janus-like is very conducive in the metaintelligence (i.e., larger overview) quest.

There’s a useful French phrase, “reculer pour mieux sauter” which means like a high jumper, you have to take steps backwards to jump higher. In other words, learn to look bi-directionally at the world.

First look back, then forward.

Here’s a concrete example:

W. Arthur Lewis, the “father” of development economics, originally from the Caribbean, taught at Princeton. He won the Nobel in 1979 and wrote various classics such as Growth and Fluctuations, 1870-1913 (1978).

Lewis writes:

In this book we shall not be attempting to give formal or complete explanations of why fluctuations occurred. Like the captain of a ship navigating in stormy seas, we shall need to identify the waves, without needing an exhaustive theory of what causes waves.

When analyzing these fluctuations economists have identified four different cycles, distinguished by length of periodicity, each of which is named after the economist who first wrote about it:

the Kitchin (about three years)
the Juglar (about nine years)
the Kuznets (about twenty years)
the Kondratiev (about fifty years)

(W. Arthur Lewis, Growth and Fluctuations, 1870-1913, 1978, page 19)

Lewis gives us a quick overview of how we got to the era covered by his book:

“The essence of the industrial and agricultural revolutions in the first three quarters of the nineteenth century was in new ways of doing old things—of making iron, textiles and clothes, of growing cereals, and of transporting goods and services. In the last quarter of the nineteenth century the revolution added a new twist—that of making new commodities: telephones, gramophones, typewriters, cameras, automobiles and so on, a seemingly endless process whose twentieth century additions include aeroplanes, radios, refrigerators, washing machines and pleasure boats.”

(Growth and Fluctuations, 1870-1913, page 29)

Professor Norman Stone in his masterpiece on WWI calls this late nineteenth century explosion of material change and inventions the greatest fast quantum leap in world history in transforming the world.

If one reads these lines with a “Janus mind” we wonder, looking forward from the Lewis book and its era:

  1. How does his catchy metaphor of waves in the ocean relate to fluctuations and cycles? When Ben Bernanke (Fed Chair) describes recent decades as “The Great Moderation” does he mean to imply that Lewis-type waves disappeared or got much smaller?
  2. Can computers and mobile phones really match cars and planes in profundity of impact? Or is it only the tremendous spread of mobile or smartphones in the Global South that can?

In fact, the recent economic history classic, Robert Gordon’s The Rise and Fall of American Growth argues against the assumption of endless technical change as a growth accelerator or endless frontier:

In the century after the Civil War, an economic revolution improved the American standard of living in ways previously unimaginable. Electric lighting, indoor plumbing, home appliances, motor vehicles, air travel, air conditioning, and television transformed households and workplaces. With medical advances, life expectancy between 1870 and 1970 grew from 45 to 72 years. Weaving together a vivid narrative, historical anecdotes, and economic analysis, The Rise and Fall of American Growth provides an in-depth account of this momentous era. But has that era of unprecedented growth come to an end?

Gordon challenges the view that economic growth can or will continue unabated, and he demonstrates that the life-altering scale of innovations between 1870 and 1970 can’t be repeated. He contends that the nation’s productivity growth, which has already slowed to a crawl, will be further held back by the vexing headwinds of rising inequality, stagnating education, an aging population, and the rising debt of college students and the federal government. Gordon warns that the younger generation may be the first in American history that fails to exceed their parents’ standard of living, and that rather than depend on the great advances of the past, we must find new solutions to overcome the challenges facing us.

A critical voice in the debates over economic stagnation, The Rise and Fall of American Growth is at once a tribute to a century of radical change and a harbinger of tougher times to come.

  1. Why does one not read of the four cycles mentioned by Lewis (i.e., Kitchin) and the rest listed above in today’s business and financial press? Has there been some great discontinuity?

If you apply a “Janus mind” to the past (described by Lewis) and our sense of the future (described by techno-pessimists like Gordon) you get a more thoughtful sense of “the human prospect.”