Category: Science

The Crypto Anarchist Manifesto

Tim May, physicist, libertarian-Randian, cypherpunk revolutionary, has died. Here is his Crypto-Anarchist Manifesto first published in 1992.

A specter is haunting the modern world, the specter of crypto anarchy.

Computer technology is on the verge of providing the ability for individuals and groups to communicate and interact with each other in a totally anonymous manner. Two persons may exchange messages, conduct business, and negotiate electronic contracts without ever knowing the True Name, or legal identity, of the other. Interactions over networks will be untraceable, via extensive re- routing of encrypted packets and tamper-proof boxes which implement cryptographic protocols with nearly perfect assurance against any tampering. Reputations will be of central importance, far more important in dealings than even the credit ratings of today. These developments will alter completely the nature of government regulation, the ability to tax and control economic interactions, the ability to keep information secret, and will even alter the nature of trust and reputation.

The technology for this revolution–and it surely will be both a social and economic revolution–has existed in theory for the past decade. The methods are based upon public-key encryption, zero-knowledge interactive proof systems, and various software protocols for interaction, authentication, and verification. The focus has until now been on academic conferences in Europe and the U.S., conferences monitored closely by the National Security Agency. But only recently have computer networks and personal computers attained sufficient speed to make the ideas practically realizable. And the next ten years will bring enough additional speed to make the ideas economically feasible and essentially unstoppable. High-speed networks, ISDN, tamper-proof boxes, smart cards, satellites, Ku-band transmitters, multi-MIPS personal computers, and encryption chips now under development will be some of the enabling technologies.

The State will of course try to slow or halt the spread of this technology, citing national security concerns, use of the technology by drug dealers and tax evaders, and fears of societal disintegration. Many of these concerns will be valid; crypto anarchy will allow national secrets to be trade freely and will allow illicit and stolen materials to be traded. An anonymous computerized market will even make possible abhorrent markets for assassinations and extortion. Various criminal and foreign elements will be active users of CryptoNet. But this will not halt the spread of crypto anarchy.

Just as the technology of printing altered and reduced the power of medieval guilds and the social power structure, so too will cryptologic methods fundamentally alter the nature of corporations and of government interference in economic transactions. Combined with emerging information markets, crypto anarchy will create a liquid market for any and all material which can be put into words and pictures. And just as a seemingly minor invention like barbed wire made possible the fencing-off of vast ranches and farms, thus altering forever the concepts of land and property rights in the frontier West, so too will the seemingly minor discovery out of an arcane branch of mathematics come to be the wire clippers which dismantle the barbed wire around intellectual property.

Arise, you have nothing to lose but your barbed wire fences!

Addendum: Inspiring! But see my post The Demise of Crypto Anarchy from 15 years ago.

A social credit system for scientists?

Researchers in China who commit scientific misconduct could soon be prevented from getting a bank loan, running a company or applying for a public-service job. The government has announced an extensive punishment system that could have significant consequences for offenders — far beyond their academic careers.

Under the new policy, dozens of government agencies will have the power to hand out penalties to those caught committing major scientific misconduct, a role previously performed by the science ministry or universities. Errant researchers could also face punishments that have nothing to do with research, such as restrictions on jobs outside academia, as well as existing misconduct penalties, such as losing grants and awards.

“Almost all aspects of daily life for the guilty scientists could be affected,” says Chen Bikun, who studies scientific evaluation systems at Nanjing University of Science and Technology.

The policy, announced last month, is an extension of the country’s controversial ‘social credit system’, where failure to comply with the rules of one government agency can mean facing restrictions or penalties from other agencies.

The punishment overhaul is the government’s latest measure to crack down on misconduct. But the nature and extent of the policy has surprised many researchers. “I have never seen such a comprehensive list of penalties for research misconduct elsewhere in the world,” says Chien Chou, a scientific integrity education researcher at Chiao Tung University in Taiwan.

By David Cyranoski in Nature, via Michelle Dawson.

The second cohort of Emergent Ventures winners

Here is the list of the second set of winners, in the order the grants were made, noting that the descriptions are mine not theirs:

Kelly Smith has a for-profit project to further extend a parent-run charter school system in Arizona, using Uber-like coordinating apps and “minimalist” OER methods.

Andrew L. Roberts, Northwestern University, a small grant to further his work on how sports relates to politics.

Stefan de Villiers, high school student, to create podcasts on the decisions of other high school students and how/why they become successful.

Brian Burns is working (with Samo Burja) on the history of mathematics and career networks, with special attention to the blossoming of innovation in 18th century Göttingen: “The secret to producing flourishing mathematical and scientific traditions may lie in a careful study of institutions. I will undertake this investigation and in the process uncover lost mathematical knowledge.”  Gauss, Riemann, and Hilbert!

Can Olcer is one of the two entrepreneurs behind Kosmos School, a K-12 school that exists only in virtual reality, a for-profit enterprise with an emphasis on science education.

Anonymous, working on a board game for ten years, aimed at teaching basic economics, including supply and demand and the core ideas of Ronald Coase.  The grant is for marketing the game.

Sophie Sandor is a 23-year-old Scottish film-maker making films with “noticeable themes [of] rational optimism, ambition and a rejection of the victimhood notion that millennials are prone to.”  She is also interested in making documentaries in the education space.

Nicholas Dunk has a for-profit to bring voice recognition/machine transcription to the daily tasks of doctors.  The goal is to solve paperwork problems, free up doctor time, encourage better record-keeping, and improve accuracy, all toward the end of higher quality and less expensive health care.

Lama Al Rajih, a young Saudi CS student, building Therma, among other projects, she received a travel grant to visit potential mentors.

I am very excited by this new cohort.  Here is a list of the first round of winners, and here is the underlying rationale for Emergent Ventures.  You can apply here.

*A Life of Experimental Economics, volume I*, by Vernon Smith

I learned a great deal from this stimulating and highly unorthodox biography.  Here are a few points from the book:

1. It offers a brief but excellent early economic history of Wichita, where Vernon grew up.

2. Vernon, at the time, was very critical of the use of the atomic bombs on Japan, which he considered to be a disproportionate use of force.

3. In the 1940s he became active in CORE and its fight against racial discrimination.

4. In 1948 Vernon was an antiwar pacifist and a supporter of Norman Thomas.

5. At MIT, Paul Samuelson was a show-off lecturer, according to Vernon.

6. The book has plenty of sentences like: “Grandpa Smith and Uncle Norman were always a delight to have around — lots of jokes, wisecracks, and laughs.”

7. pp.163-164: “The details, as we came to know them, were not the least bit complicated…It was at first thought that she had considered using the knife on herself, but apparently the knife was there because she considered cutting a length from a nearby piece of rope.  Instead, she used a chain.  It was so like my mother — a clean job with no mess.  Everyone who knew her knew that she would never have used the butcher knife.  Even the hanging could never have occurred in the house.  No fuss, no mess; a clean job, with no room for error.”

8. On attention-switching: “I have always had what my mind has gradually come to recognize — by comparative observation of others — as a brain task-switching problem.  When I am thinking, writing, or composing, I pass into another world of experience, a world that is isolated from my surroundings…I experience many chaotic but loosely connected thought.  One, then another, rises and there emerges a hint of how they are to come together.”  He notes that interruptions are very costly to him, and he much prefers one-to-one conversations rather than group dialogues.  Furthermore, he argues that his capacity to “hyper-focus” is more valuable than his measured IQ of 130.

9. There are considerable and interesting discussions of autism, Asperger’s and ADHD.

10. The book offers an excellent account of why Purdue was an important economics department in the 1950s and 1960s.

11. In 1957, Vernon considered going to work for a private railroad and leaving Purdue for St. Louis.  He didn’t.

You can buy the book here, vol.II is good too.

Cohort effects and life expectancy and many other facts about the history of American medicine

The cohort reaching age 55 around 1982 (born around 1927) has significantly higher mortality than the cohort 10 years younger. That higher mortality continues through the cohort passing through that age range in the mid-1990s, roughly, when the cohort born in 1933 reaches age 65. That same cohort also has higher mortality when they are 65-74 and 75-84. The story is not one of selection – a handful of less healthy people who die and leave behind healthier stock. Rather, it seems that an entire generation was rendered vulnerable by being born during and just before the Great Depression (Lleras-Muney and Moreau, 2018).

That is from a new NBER history of health care paper by Maryaline Catillon, David Cutler, and Thomas Getzen.  This piece is interesting on virtually every page.  For instance, on the rise of American science:

Of the 18 Nobel Prizes in Physiology or Medicine awarded 1901-1920, none went to US researchers. Over the next two decades, four out of twenty-four did, then for the rest of the century, more than half.


…our analysis of Massachusetts data does not support a large impact of medical care supply on mortality in the pre-antibiotic era.

Using the best data I’ve seen to date, apart from RCTs, the authors conclude from their statistical work:

…there is little evidence that access to medical care plays a role in mortality over the entire 1965-2015 period, but it appears to have had an effect during recent years.

That is from p.33

Death rates from influenza/pneumonia and cancer seem most responsive to access to medical care.  And I had not known this:

The period from 1935 to 1950 saw the most…decline in infant and child mortality of any time period since 1900.  It is unclear how much of this change would have happened without antibiotics, but blood banking and advances in surgical techniques were among the host of distinct and incremental improvements that added to life expectancy while the health share of GDP increased only slightly.


Tom Lehrer, man ahead of his time

Ever since I was a young teenager I loved Tom Lehrer (thanks to Ken Regan, by the way), and I thought I would re-listen to some fresh.  I tried the Copenhagen concert, a good overview of his work and with good visuals.  I was struck by the following:

1. Lehrer represented the IDW of his day.  He said (sang) things others couldn’t, and his main enemy or target was political correctness.  It surprised me to hear how little many of the battle lines have changed.  Yet Lehrer, while warring against hypocritical political discourse, was in his day on the Left.  (Shades of Eric Weinstein!)  He worried about the “decline of the liberal consensus,” following the Kennedy era.  In 1982 he wrote that he considered feminism, abortion, and affirmative action “more complicated” than the older liberal causes, so perhaps he simply did not blend into the contemporary Left (the piece is interesting more generally).

2. Lehrer’s songs (repeatedly) indicate he saw nuclear weapons and nuclear proliferation as a major problem; in that regard his time probably was wiser than ours.

3. He is very interested in language and the question of how words are used in the public sphere, and how words are used to obfuscate.  Might that be the central theme in his thought?

4. He often sneaks China into the cultural references, for instance: “And I’m learning Chinese, says Werner von Braun.”  He seems to think it is a much more important country than Russia, although this concert was from 1967 and often was drawing on songs which were older yet.

5. He is much more interested in math and science than current comedians, for instance his “Elements” is a classic [22:54], and redone here with an Aristotle coda, mocking The Philosopher.  His audience seems to take this interest in stride.  This song is yet another example of inverting what should be said, or not.

6. Yes I know the tunes sound derivative, but most of them are original.  And as music…they’re a lot catchier than most of the other musical theatre of his time and I think of many of them as minor classics.  I still enjoy hearing them as music.  And other than Sondheim and Dylan, how many better American lyricists were there?

7. When he wants to get really gory, he doubles down on mock sadism (“Poisoning Pigeons in the Park”: “…we’ll murder them all with laughter and merriment…except for the few we take home to experiment…”).  He once said: “If, after hearing my songs, just one human being is inspired to say something nasty to a friend, or perhaps to strike a loved one, it will all have been worth the while.”

It would be hard to pull this off today.  Yet, when I listen to Lehrer, perhaps because I know the historical context, I am not offended.  Plus he is flat-out funny.  He cited losing his “nasty edge,” and starting to see things in shades of grey, as one reason for what appeared to be a quite premature retirement.

8. He wore a white shirt and his tie was tightly knotted.

9. He’s one of America’s great comics, and the material is idea-rich to a remarkable extent.  He hardly ever sung about social themes or person-to-person social interactions.

10. Many of the songs of his that you never hear are in fact commentaries on various folk song movements.  Circa 2018, few can understand their references, but they do showcase Lehrer’s extreme idealism.

11. He was at first a math prodigy and later in the mid-1950s, as a draftee, crunched numbers for the NSA.  He remains alive and turned 90 earlier this year.


The jobs of the future, circa 1988

A syndicated article published in the September 5, 1988, edition of the Press and Sun-Bulletin newspaper in New York talked with a number of experts about what the jobs of tomorrow would look like. The article first quotes S. Norman Feingold, a clinical psychologist and career counselor who died in 2005.

From the 1988 article:

Feingold envisions a range of exotic careers: Ocean hotel manager, wellness consultant, sports law specialist, lunar astronomer and even robot trainer.

The piece also quotes the George Tech engineering professor Alan Porter who gave his opinion on the future of fast food.

He predicts such innovations as “the Autoburger,” a fast-food dispensary something like McDonald’s, but without human workers.

And the article ends with a mixed bag of good and bad predictions:

Marvin Cetron, a technological forecaster, looks at the year 2000 and predicts a 32-hour work week. “The only job a woman won’t be holding is Catholic priest,” he said.

Cetron said college students of the future will study enzyme research and genetic and robot engineering.

Here is the piece, via Tim Harford.  The broad lesson I think is that bets on computers were basically right, and will be for some time to come, and other bets are either obvious or stupid, in retrospect.

Corporate science fiction markets in everything

…the business world has been increasingly aware of the genre’s potential. In 2017, PricewaterhouseCoopers, the professional services firm that advises 440 of the Fortune 500 companies, published a blueprint for using science fiction to explore business innovation. The same year, the Harvard Business Review argued that “business leaders need to read more science fiction” in order to stay ahead of the curve…

A number of companies, along with a loose constellation of designers, marketers, and consultants, have formed to expedite the messy creative visualization process that used to take decades. For a fee, they’ll prototype a possible future for a [corporate] client, replete with characters who live in it, at as deep a level as a company can afford. They aim to do what science fiction has always done — build rich speculative worlds, describe that world’s bounty and perils, and, finally, envision how that future might fall to pieces.

Alternatively referred to as sci-fi prototyping, futurecasting, or worldbuilding, the goal of these companies is generally the same: help clients create forward-looking fiction to generate ideas and IP for progress or profit. Each of the biggest practitioners believe they have their own formulas for helping clients negotiate the future. And corporations like Ford, Nike, Intel, and Hershey’s, it turns out, are willing to pay hefty sums for their own in-house Minority Reports.

That is from Brian Merchant on Medium.

My Conversation with Paul Romer

Here is the audio and transcript, Paul was in top form and open throughout.  Yes economic growth, blah blah blah, but we covered many related topics too:

COWEN: And you also think we should simplify the English language. Right?

ROMER: [laughs] Well, there’s two parts to that. One is, in writing and communication, there should be a very high priority on clarity. It’s hard to know what’s the mechanism that enforces that. There are variants on English, like the English used to write the manuals people use to service airplanes, where there’s a very restricted vocabulary. The words are chosen so that you can’t have any ambiguity because you don’t want somebody servicing a plane to get confused. So there are some things you could do on writing, word choice, vocabulary, exposition.

There’s a separate issue, which is that amongst the modern languages, English has the worst orthography, the worst mapping between spelling and sounds of any of the existing languages. And it’s a tragedy because English is becoming the universal second language.

The incidence of people who don’t learn to read is substantially higher in English than in other languages. People have known for a long time, it takes longer to learn to read in English because of the bad orthography. But what hasn’t gotten enough attention is that there’s an effect on the variance as well. There are more people who never get over this hurdle to actually learning to read.

If there were a way to do in English what they’ve done in other languages, which is to clean up the orthography, that could make a huge difference in the variation associated with whether or not people can learn to read English.


COWEN: Can a charter city work if we import good laws from the outside world but not the appropriate matching culture?

ROMER: You’ve zeroed right in on the connection. The real motivation that I had for charter cities was exactly this one that you can see in the US versus New Zealand. You can think of a charter city exercise . . .

This is actually the story of Maryland: We’re going to create laws, and we’re going to guarantee freedom of religion in Maryland, and it’s in the laws; it’s in the institution somehow. That didn’t turn out very well. Maryland had a Catholic elite but then large numbers of Protestant indentured servants or workers. And this kind of commitment to freedom of religion was not stable in Maryland at all.

The case that’s worth trying to copy is Pennsylvania, where William Penn recruited large numbers of people who actually believed in freedom of religion. The word charter comes from the charter that Penn wrote for Pennsylvania, but it wasn’t the document that mattered. What mattered was that there were a bunch of people in the founding population who were committed to this idea of a separation of church and state and religious freedom. And that’s what made it durable in Pennsylvania in a way it wasn’t in Maryland.

And this:

ROMER: …Moses was of this generation that was too enamored of the car, and this is where I think Jacobs had a better intuition. But the challenge, the dichotomy I would pose would be Jane Jacobs versus Gouverneur Morris.

Morris was the guy who drew the grid that laid out the rectangular street map for Manhattan.

We also discussed music, including Hot Tuna, Clarence White, and Paul’s favorite novel, dyslexia, what Paul has learned about management, and much more.  Self-recommending, if there ever was such a thing.

Meet the Pioneers

Here are the winners from the first Pioneers tournament, summarized here:

In the short 3 months since its launch, Pioneer has garnered a global reach. Our first tournament featured applicants from 100 countries, ranging from 12 to 87 years old. Almost half of our players hailed from countries like India, UK, Canada, Nigeria, Germany, South Africa, Singapore, France, Turkey, and Kenya. Projects were spread across almost every industry — AI research, physics, chemistry, cryptocurrency and more.

They are a remarkably impressive group, here is one example:

Clark Urzo (23, Philippines)

Clark is making a programming language for physics. The idea is to enable anyone who can code to contribute to serious physics research (for example, simulations of gravitating systems). This opens up the field to the wondrous forces of open source and promotes open and accountable science along the way.

Noteworthy: Clark has an insanely impressive trajectory. He learned to code when he was 12. By 16, he was doing Laplace transforms, tinkering with Arduinos, reading Marx and Nietzsche, and taught himself conversational German. He co-founded a VR company by 19.


Harshu Musunuri (18, USA)

Harshu is creating synthetic materials to improve the diagnosis, treatment, and prevention of sepsis, a leading cause of death in hospitals around the world. Unlike other approaches, these materials don’t require refrigeration and enable low-cost toxin capture in resource-poor settings.

Noteworthy: Harshu comes from a humble background: she was born to an electrical engineer and an elementary school math teacher in a small village in South India. But her work is anything but humble. In her short career, she’s done research with NASA’s JPL, built a seizure detection app for epileptic patients and is now working on a project with the potential to save thousands of lives. She’s also a hacker at heart: when she lacked the formal lab tools to braze at high temperature, she used the exhaust vent of a ceramic kiln.

The overall lesson is that there is a great deal of undiscovered talent out there, and also that some people are out there discovering it!  And if you wish to apply to round two, just follow the instructions at the top link.

Open questions from Gwern

This is all Gwern, I won’t add another layer of indentation:

Open Questions

Some questions which are not necessarily important, but do puzzle me or where I find standard answers to be unsatisfying (along the lines of Patrick Collison’s list & Alex Guzey; see also my list of project ideas):

  • What is personal productivity and why does it vary from day to day so strikingly, and yet not correlate with environmental variables like weather or sleep quality nor appear as the usual kind of latent variable in my factor analyses? Is it something much weirder than the usual kind of latent variable, like a set of zero-sum measurements drawing on a generic pool of energy or mana?
  • Does listening to music while working serve as a distraction, or motivation?
  • What, algorithmicly, are mathematicians doing when they do math which explains how their proofs can usually be wrong but their results usually right?Is it equivalent to a kind of tree search like MCTS or something else? They wouldn’t seem to be doing a literal tree search because then there would almost never be mistakes in the proof (as the built-up tree of theorems only explores valid inferential steps), but if they’re not, then how are they handling logical uncertainty? Are they doing something like MCTS’s random playouts where lemmas are not proven but simply heuristically given a truth value to shortcut exploration and the heuristic is accurate enough to usually guess correctly and this is why the proofs are wrong but the results are right?
  • Why did Jean Calment live so many more years than other centenarians, breaking all records and setting a life expectancy record which decades later has not just not been broken, but not even approached? Which is extraordinary considering that she smoked, medicine has continuously advanced, the global population has increased, life expectancy in general has increased, and the Gompertz curve implies that, with mortality rates approaching 50%, centenarians should die like flies and ever closer in age to each other and not have occasional enormous permanent 3 year gaps between the record setter (Calment) and everyone since then.
  • Why do humans, pets, and even lab animals of many species kept in controlled lab conditions on standardized diets appear to be increasingly obese over the 20th century? What could possibly explain all of them simultaneously becoming obese?
  • What happened to the famous genome sequencing cost curve after late 2012, which stopped price decreases, damaged genetics, and delayed the advent of whole-genome sequencing by perhaps a decade? Was it really just the Illuminati’s fault?
  • Why do humans have such a large mutation load on common genetic variants? Common SNPs make up a large fraction of variance, even for traits which must be fitness-affecting. Culture or technology slow evolution doesn’t wash when human fitness differentials are so large and so many people died young or as infants, and how did the many deleterious variants get pushed up to such high frequencies in the first place?
  • Why does the immune system so often surface as a genetic correlation or tissue enrichment in GWASes for many things not generally believed to be infectious? Are we missing an enormous range of infections directly causing bad things (or indirectly through autoimmune mechanisms), or the immune system just sort of like intelligence in being a general health trait?
  • Why does catnip response vary so much across countries in domestic cats, and also across feline species, with no apparent phylogenetic or environmental pattern? It is so heritable in domestic cats that a genetic reason is plausible, but if it’s adaptive, what is it doing when catnip doesn’t exist in the ranges of most tested cats, and if it’s neutral why can so many closely-different different animals respond to it in different ways?

TC again: There is much more at the link.  If you don’t know Gwern, you should know Gwern.

China possible fact of the day

A Chinese researcher claims that he helped make the world’s first genetically edited babies — twin girls born this month whose DNA he said he altered with a powerful new tool capable of rewriting the very blueprint of life.

If true, it would be a profound leap of science and ethics.

A U.S. scientist said he took part in the work in China, but this kind of gene editing is banned in the United States because the DNA changes can pass to future generations and it risks harming other genes.

Here is the full story.  Here is further background.

Artificial Intelligence is Alien Intelligence

Imagine if an alien came to earth and told us some new scientific fact that no human had ever known. Artificial intelligence is starting to do just that. Computers and AI have long given us solutions to problems that humans could not have worked out for themselves but AI is going beyond optimization to tell us facts about the world that no one suspected. Eric Topol on twitter points us to a paper in Nature that used deep learning to analyze retinal images to predict heart disease–it’s long been known that this can be done which is one reason why ophthalmologists take a close look at your retinas when fitting lenses but not surprisingly the AI can see more than can ophthalmologists. What was surprising, however, was that the AI could also tell gender from retinal images, a fact no one had ever previously considered! As a summary notes:

…that information in a retinal image can be used for the prediction of a persons gender is surprising and puzzling. This underscores the potential of artificial intelligence to revolutionize the way medicine is practiced and to help discover hidden associations.