Showing posts with label human capital. Show all posts
Showing posts with label human capital. Show all posts

Thursday, September 07, 2023

Meritocracy, SAT Scores, and Laundering Prestige at Elite Universities — Manifold #43

 

I discuss 10 key graphs related to meritocracy and university admissions. Predictive power of SATs and other factors in elite admissions decisions. College learning outcomes - what do students learn? The four paths to elite college admission. Laundering prestige at the Ivies. 

Slides: 


Audio Only and Transcript: 


CLA and college learning outcomes

Harvard Veritas: Interview with a recent graduate 

Defining Merit - Human Capital and Harvard University


Chapter markers: 

0:00 Introduction 
1:28 University of California system report and the use of SAT scores admissions 
8:04 Longitudinal study on gifted students and SAT scores (SMPY) 
12:53 Unprecedented data on earnings outcomes and SAT scores 
15:43 How SAT scores and university pedigree influence opportunities at elite firms 
17:35 Non-academic factors fail to predict student success 
20:49 Predicted earnings 
24:24 Measured benefit of Ivy Plus attendance 
28:25 CLA: 13 university study on college learning outcomes 
32:34 Does college education improve generalist skills and critical thinking? 
42:15 The composition of elite universities: 4 paths to admission 
48:12 What happened to meritocracy? 
51:48 Hard versus Soft career tracks 
54:43 Cognitive elite at Ivies vs state flagship universities 
57:11 What happened to Caltech?

Thursday, February 16, 2023

Bing vs. Bard, US-China STEM Competition, and Embryo Screening — Manifold Episode #30

 


Steve discusses the AI competition between Microsoft and Google, the competition between the U.S. and China in STEM, China’s new IVF policy, and a Science Magazine survey on polygenic screening of embryos. 

00:00 Introduction 
02:37 Bing vs Bard: LLMs and hallucination 
20:52 China demographics & STEM 
34:29 China IVF now covered by national health insurance
40:28 Survey on embryo screening in Science: ~50% of those under 35 would use it to enhance congnitivie ability 

References: 

Bing vs Bard and Hallucination 

China demographics and STEM
https://twitter.com/hsu_steve/status/1620765589752119297 https://twitter.com/hsu_steve/status/1623279827640848385
 
China IVF 

Science survey on embryo screening 

Tuesday, October 04, 2022

SAT score distributions in Michigan

The state of Michigan required all public HS seniors to take the SAT last year (~91k out of ~107k total seniors in the state). This generated an unusually representative score sample. Full report

I'm aware of this stuff because my kids attend a public HS here.

To the uninformed, the results are shocking in a number of ways. Look specifically at the top band with scores in the 1400-1600 range. These are kids who have a chance at elite university admission, based on academic merit. For calibration, the University of Michigan median SAT score is above 1400, and at top Ivies it is around 1500.


Some remarks:

1. In the top band there are many more males than females.

2. The Asian kids are hitting the ceiling on this test.

3. There are very few students from under-represented groups who score in the top band. 

4. By looking at the math score distribution (see full report) one can estimate how many students in each group are well-prepared enough to complete a rigorous STEM major -- e.g., pass calculus-based physics.

Previously I have estimated that PRC is outproducing the US in top STEM talent by a factor as large as 10x. In a decade or two the size of their highly skilled STEM workforce (e.g., top engineers, AI researchers, biotech scientists, ...) could be 10x as large as that of the US and comparable to the rest of the world, ex-China.

This is easy to understand: their base population is about 4x larger and their K12 performance on international tests like PISA is similar to what is found in the table above for the Asian category. The fraction of PRC kids who perform in the top band is probably at least several times larger than the overall US fraction. (Asian vs White in the table above is about 6x, or 7x on the math portion.) Also, the fraction of college students who major in STEM is much larger in PRC than in the US.

This table was produced by German professor Gunnar Heinsohn, who analyzes geopolitics and human capital.

Note, I will censor racist comments.

Thursday, February 17, 2022

ManifoldOne Podcast Episode#4: Jon Y (Asianometry) on Semiconductor Tech and U.S.-China Competition

 

Jon Y produces Asianometry, which focuses on Asia technology, finance, and history: Podcast, YouTube channel, and Substack

Steve and Jon discuss the global semiconductor industry with an emphasis on U.S.-China technology competition. 

Topics discussed: 

Jon's background and his move to Taipei. 
Key components of the semiconductor ecosystem: fabs, lithography, chip design. 
US-China tech war: TSMC, ASML, Huawei 
Taiwan politics: Green and Blue parties, independence 
PRC invasion / blockade of Taiwan?

ManifoldOne (transcript)


Note Added: To clarify the Huawei discussion 

1. The US stopped TSMC from fabbing leading edge Kirin CPUs for Huawei (designed by Huawei's chip design subsidiary HiSilicon). These were used in their smartphones. For a year or two Huawei was arguably the leading smartphone maker in the world and looked entirely capable of competing against Samsung and Apple. US Nat Sec concerns had more to do with Huawei's 5G business. But 5G infrastructure doesn't use leading edge chips (the base stations are big and don't rely on battery power the way phones do). The connection between Huawei's smartphone business and its 5G infrastructure business is very indirect -- they are entirely different businesses. 

2. No sanctions were applied to ZTE which, unlike Huawei, is an actual state-owned entity and had previously been on the US entity list. ZTE also sells 5G infrastructure equipment. It is flourishing while Huawei is starting to run low on the non-leading edge chips (e.g., >20nm process) it buys for its base stations. 


It's hard to explain what the US was up to with Huawei -- I would say it's a good example of the kind of incoherent "emergent" policy that Hanania writes about in his new book.

If you believe all the Western propaganda about Huawei and Xinjiang produced over the last few years you might be an NPC or at least someone who doesn't properly calibrate their Bayesian updates. As such it isn't really worth my effort to engage with you. 


Regarding PRC invasion of Taiwan, missile technology, etc. see

Meeting China’s Military Challenge: Collective Responses of U.S. Allies and Partners (Jaunary 2022) 

Friday, January 07, 2022

Ryan Petersen (Flexport); the best Generalist talent is in tech startups...

Dominic Cummings has a great substack, which I highly recommend. 

I just read his recent post 


which led me to the podcast interview below with Ryan Peterson, CEO and Founder of Flexport. It's one of the best startup founder interviews I've heard in a long time.

 

See also this YC blogpost about the interview.

Is there any doubt that the best "generalist" talent among people aged 20-35 is in tech startups? Petersen understands more about the world (or, at least, how to get stuff done in the world) than any typical business school or social science prof, or any typical big company exec or government official.

Dan Wang of Gavekal is a great China tech and economics analyst -- well calibrated, in my opinion.
... China has strong entrepreneurs as well as a strong state, and these two sometimes reinforce each other. An interesting fact I noticed recently is that the party secretary of Zhejiang province, one of the country’s most important, used to be a director of China’s manned space program. A skim through the Wikipedia pages of provincial party secretaries would reveal a diverse range of technocratic experiences. 
An important factor in China’s reform program includes not only a willingness to reshape the strategic landscape—like promoting manufacturing over the internet—but also a discernment of which foreign trends to resist. These include excessive globalization and financialization. Beijing diagnosed the problems with financialization earlier than the US, where the problem is now endemic. The leadership is targeting a high level of manufacturing output, rejecting the notion of comparative advantage. That static model constructed by economists with the aim of seducing undergrads has leaked out of the lecture hall and morphed into a political justification for only watching as American communities of engineering practice dissolved. And Beijing today looks prescient for having kept out the US social media companies that continuously infuriate their home government. ...

Only a retard (autistic economist) can overlook the pitfalls of blind acceptance of Comparative Advantage (Ricardo, etc.): "Gee, those guys are great at making hypersonic missiles and targeting radar. We'll let them do it and just buy the stuff from them. Everybody wins!" See Charlie Munger, Ricardo and finance.

Thursday, October 21, 2021

PRC Hypersonic Missiles, FOBS, and Qian Xuesen




There are deep connections between the images above and below. Qian Xuesen proposed the boost glide trajectory while still at Caltech.








Background on recent PRC test of FOBS/glider hypersonic missile/vehicle. More from Air Force Secretary Frank Kendall. Detailed report on PRC hypersonic systems development. Reuters: Rocket failure mars U.S. hypersonic weapon test (10/21/21)

The situation today is radically different from when Qian first returned to China. In a decade or two China may have ~10x as many highly able scientists and engineers as the US, comparable to the entire world (ex-China) combined [1]. Already the depth of human capital in PRC is apparent to anyone closely watching their rate of progress (first derivative) in space (Mars/lunar lander, space station, LEO), advanced weapons systems (stealth jets, radar, missiles, jet engines), AI/ML, alternative energy, materials science, nuclear energy, fundamental and applied physics, consumer electronics, drones, advanced manufacturing, robotics, etc. etc. The development of a broad infrastructure base for advanced manufacturing and R&D also contributes to this progress, of course.

[1] It is trivial to obtain this ~10x estimate: PRC population is ~4x US population, a larger fraction of PRC students pursue STEM degrees, and a larger proportion of PRC students reach elite levels of math proficiency, e.g., PISA Level 6.



"It was the stupidest thing this country ever did," former Navy Secretary Dan Kimball later said, according to Aviation Week. "He was no more a Communist than I was, and we forced him to go." ... 
Qian Xuesen, a former Caltech rocket scientist who helped establish the Jet Propulsion Laboratory before being deported in 1955 on suspicion of being a Communist and who became known as the father of China's space and missile programs, has died. He was 98. ... 
Qian, a Chinese-born aeronautical engineer educated at Caltech and the Massachusetts Institute of Technology, was a protege of Caltech's eminent professor Theodore von Karman, who recognized him as an outstanding mathematician and "undisputed genius."

Below, a documentary on Qian and a movie-length biopic (English subtitles).





Sunday, May 16, 2021

Ditchley Foundation meeting: China Today and Tomorrow

China Today and Tomorrow 
20 MAY 2021 - 21 MAY 2021 
This Ditchley conference will focus on China, its internal state and sense of self today, its role in the region and world, and how these might evolve in years to come. 
There are broadly two current divergent narratives about China. The first is that China’s successful response to the pandemic has accelerated China’s ascent to be the world’s pre-eminent economic power. The Made in China 2025 strategy will also see China take the lead in some technologies beyond 5G, become self-sufficient in silicon chip production and free itself largely of external constraints on growth. China’s internal market will grow, lessening dependence on exports and that continued growth will maintain the bargain between the Chinese people and the Chinese Communist Party through prosperity and stability. Retaining some elements of previous Chinese strategy though, this confidence is combined with a degree of humility: China is concerned with itself and its region, not becoming a global superpower or challenging the US. Economic supremacy is the aim but military strategy remains focused on defence, not increasing international leverage or scope of action. 
The second competing narrative is that China’s position is more precarious than it appears. The Belt and Road Initiative will bring diplomatic support from client countries but not real economic gains. Human rights violations will damage China abroad. Internally the pressures on natural resources will prove hard to sustain. Democratic and free-market innovation, combined with a bit more industrial strategy, will outstrip China’s efforts. Careful attention to supply chains in the West will meanwhile reduce critical reliance on China and curb China’s economic expansion. This perceived fragility is often combined though with a sense of heightened Chinese ambition abroad, not just through the Belt and Road Initiative but in challenging the democratic global norms established since 1989 by presenting technologically-enabled and effective authoritarian rule as an alternative model for the world, rather than just a Chinese solution. 
What is the evidence today for where we should settle between these narratives? What trends should we watch to determine likely future results? ...
[Suggested background reading at link above.] 
Unfortunately this meeting will be virtual. The video below gives some sense of the unique charm of in-person workshops at Ditchley.




See also this 2020 post about an earlier Ditchley meeting I attended: World Order Today
... analysis by German academic Gunnar Heinsohn. Two of his slides appear below.
1. It is possible that by 2050 the highly able STEM workforce in PRC will be ~10x larger than in the US and comparable to or larger than the rest of the world combined. Here "highly able" means roughly top few percentile math ability in developed countries (e.g., EU), as measured by PISA at age 15. 
[ It is trivial to obtain this kind of estimate: PRC population is ~4x US population and fraction of university students in STEM is at least ~2x higher. Pool of highly able 15 year olds as estimated by PISA or TIMMS international testing regimes is much larger than in US, even per capita. Heinsohn's estimate is somewhat high because he uses PISA numbers that probably overstate the population fraction of Level 6 kids in PRC. Current PISA studies disproportionately sample from more developed areas of China. At bottom (asterisk) he uses results from Taiwan/Macau that give a smaller ~20x advantage of PRC vs USA. My own ~10x estimate is quite conservative in comparison. ]

2. The trajectory of international patent filings shown below is likely to continue. 

Thursday, March 25, 2021

Meritocracy x 3

Three videos: 

1. Political philosopher Daniel Bell on PRC political meritocracy. 

2. Documentary on the 2020 Gao Kao: college entrance exam taken by ~11 million kids. 

3. Semiconductor Industry Association panel on PRC push to become self-sufficient in semiconductor technology. 






Monday, January 11, 2021

Global AI Talent Flows


The illustration above describes a global population of ~5k researchers whose papers were accepted to the leading 2019 conference in deep neural nets. To be precise they looked at ~700 authors of a randomly chosen subset of papers. There is also a more select population of individuals who gave presentations at the meeting. This is certainly not the entire field of AI, but a reasonable proxy for it.

Global AI talent tracker:
For its December 2019 conference, NeurIPS saw a record-breaking 15,920 researchers submit 6,614 papers, with a paper acceptance rate of 21.6%, making it one of the largest, most popular, and most selective AI conferences on record. 
Key Takeaways 
1. The United States has a large lead over all other countries in top-tier AI research, with nearly 60% of top-tier researchers working for American universities and companies. The US lead is built on attracting international talent, with more than two-thirds of the top-tier AI researchers working in the United States having received undergraduate degrees in other countries.   
2. China is the largest source of top-tier researchers, with 29% of these researchers having received undergraduate degrees in China. But the majority of those Chinese researchers (56%) go on to study, work, and live in the United States. 
3. Over half (53%) of all the top-tier AI researchers are immigrants or foreign nationals currently working in a different country from where they received their undergraduate degrees.
Prediction: PRC share in all 3 categories will increase in coming decades as their K12, undergraduate, and graduate schools continue to improve, and their high-tech economy grows much larger. See Ditchley Foundation meeting: World Order today

Using conference papers as the filter probably misses a lot of world class work (especially implementation at scale) that is going on in PRC at tech companies. Note in the list below the only Chinese institutions are Tsinghua and Beijing universities. But I would be surprised if those were the main accumulation of top AI talent in China, compared to large tech companies.

 

Wednesday, December 02, 2020

Ditchley Foundation meeting: World Order Today


Thursday and Friday (Dec 3 and 4) I will participate in this Ditchley Foundation event, in honor of Henry Kissinger. I'm unsure whether I'm allowed to say who the other participants are.

Unfortunately the event is entirely virtual, unlike the meeting on genetic engineering I attended there in 2019. (Slides

A big focus of this meeting will be the role of China in the World Order (their terminology). Apropos of that, see this analysis by German academic Gunnar Heinsohn. Two of his slides appear below.

1. It is possible that by 2050 the highly able STEM workforce in PRC will be ~10x larger than in the US and comparable to or larger than the rest of the world combined. Here "highly able" means roughly top few percentile math ability in developed countries (e.g., EU), as measured by PISA at age 15.

2. The trajectory of international patent filings shown below is likely to continue. Note the catch-up pattern of S. Korea vs Germany over 25 years.

See earlier post The East is Red, the Giant Rises.

Thursday, February 20, 2020

Yang Wang on Science and Technology in China, Hong Kong Protests, and Corona Virus - Manifold Podcast #34



Yang Wang is Dean of Science at the Hong Kong University of Science and Technology. Professor Wang received his BS degree in mathematics from University of Science and Technology of China in 1983, and his PhD degree from Harvard University in 1990 under the supervision of Fields medalist David Mumford. He served as Chair of the Mathematics department at Michigan State University before joining HKUST.

2:50 - US-China Relations: Has China advanced through the development of human capital or the theft of intellectual property?
16:23 - Academic Culture in China
33:00 - Hong Kong Protests: Economic inequality, housing prices, and outside actors.
1:04:09 - Corona Virus COVID-19: Has the Corona Virus established a new mode of online education in Hong Kong? Yang makes a forecast about the epidemic's trajectory.

Transcript

Yang Wang, Dean of Science at HKUST


Yang Wang (Faculty Profile)


man·i·fold /ˈmanəˌfōld/ many and various.

In mathematics, a manifold is a topological space that locally resembles Euclidean space near each point.

Steve Hsu and Corey Washington have been friends for almost 30 years, and between them hold PhDs in Neuroscience, Philosophy, and Theoretical Physics. Join them for wide ranging and unfiltered conversations with leading writers, scientists, technologists, academics, entrepreneurs, investors, and more.

Steve Hsu is VP for Research and Professor of Theoretical Physics at Michigan State University. He is also a researcher in computational genomics and founder of several Silicon Valley startups, ranging from information security to biotech. Educated at Caltech and Berkeley, he was a Harvard Junior Fellow and held faculty positions at Yale and the University of Oregon before joining MSU.

Corey Washington is Director of Analytics in the Office of Research and Innovation at Michigan State University. He was educated at Amherst College and MIT before receiving a PhD in Philosophy from Stanford and a PhD in a Neuroscience from Columbia. He held faculty positions at the University Washington and the University of Maryland. Prior to MSU, Corey worked as a biotech consultant and is founder of a medical diagnostics startup.

Tuesday, February 04, 2020

Report of the University of California Academic Council Standardized Testing Task Force

The figures below are from the recently completed Report of the University of California Academic Council Standardized Testing Task Force. Note the large sample sizes.

Some remarks:

1. SAT and High School GPA (HSGPA) are both useful (and somewhat independent) predictors of college success. In terms of variance accounted for, we have the inequality:

SAT + HSGPA  >  SAT  >  HSGPA

There are some small deviations from this pattern, but it seems to hold overall. I believe that GPA has a relatively larger loading on conscientiousness (work ethic) than cognitive ability, with SAT the other way around. By combining the two we get more information than from either alone.

2. SAT and HSGPA are stronger predictors than family income or race. Within each of the family income or ethnicity categories there is substantial variation in SAT and HSGPA, with corresponding differences in student success. See bottom figure and combined model R^2 in second figure below; R^2 varies very little across family income and ethnic categories.







There is not much new here. In graduate admissions the undergraduate GPA and the GRE general + subject tests play a role similar to HSGPA and SAT. See GRE and SAT Validity.

See Correlation and Variance to understand better what the R^2 numbers above mean. R^2 ~ 0.26 means the correlation between predictor and outcome variable (e.g., freshman GPA) is R ~ 0.5 or so.

Test Preparation and SAT scores: "...combined effect of coaching on the SAT I is between 21 and 34 points. Similarly, extensive meta-analyses conducted by Betsy Jane Becker in 1990 and by Nan Laird in 1983 found that the typical effect of commercial preparatory courses on the SAT was in the range of 9-25 points on the verbal section, and 15-25 points on the math section."

Thursday, January 09, 2020

Zach Hambrick on Psychometrics and the Science of Expertise -- Manifold Podcast #28



MSU Psychology Professor Zach Hambrick joins Corey and Steve to discuss general cognitive ability, the science of personnel selection, and research on the development of skills and expertise. Is IQ really the single best predictor of job performance? Corey questions whether g is the best predictor across all fields and whether its utility declines at a certain skill level. What does the experience of the US military tell us about talent selection? Is the 10,000 hour rule for skill development valid? What happened to the guy who tried to make himself into a professional golfer through 10,000 hours of golf practice?

Transcript

Science of Expertise

Zach Hambrick (Faculty Profile)

Armed Services Vocational Aptitude Battery

Project 100,000 (1960s DoD Program)

Test Validity Study Report (CLA)

The Validity and Utility of Selection Methods in Personnel Psychology

Wednesday, August 28, 2019

College quality measures highly correlated to student SAT scores


Research by Brown, Chabris, and Wai shows that quality of students is strongly correlated to other quality measures of a college. (Thanks to a reader for sending the link!) See also this global analysis of university quality rankings.

Of course, causality is complex: schools with strong reputations, large endowments, etc. can attract top applicants. But how did those schools acquire those reputations and endowments in the first place?
Salon: ... Though there is often public controversy over the value of standardized tests, research shows that these tests are quite robust measures to predict academic performance, career potential, creativity and job performance.

Critics of the SAT say it tests for students’ wealth, not caliber. While it is true that wealthier parents tend to have students with higher test scores, it turns out the research robustly shows that test scores, even when you consider socioeconomic status, are predictive of later outcomes.

We first found high correlations between our test score rankings and U.S. News national university rank – 0.892 – and liberal arts college rank – 0.890 – even though U.S. News weights these scores only about 8% in their formula. ...




See also Universities Ranked By SAT Score (2013):



Schools with the strongest students (e.g., as measured by SAT) produce graduates who make outstanding contributions at per capita rates easily 10x or 100x higher than others: see Where Nobel winners get their start (Nature) and Colleges ranked by Nobel, Fields, Turing and National Academies output.


Saturday, July 27, 2019

Brainpower Matters: The French H-Bomb


Michel Carayol, father of the French H-Bomb.

The article below illuminates several mysteries concerning the French development of thermonuclear weapons. Why did it take so long? Did the French really need help from the British? Who had the crucial idea of radiation compression?

The original inventors were Ulam and Teller. In the USSR it was Sakharov. The PRC inventor was Yu Min (see Note Added at bottom).

Without men such as these, how long would it have taken to develop breakthrough technologies that defined the modern age?

See also Les Grandes Ecoles, One hundred thousand brains, and Quantum GDP.

THE REAL STORY BEHIND THE MAKING OF THE FRENCH HYDROGEN BOMB

Nonproliferation Review 15:2 353, DOI 10.1080/10736700802117361

Based on the first-person account of coauthor Pierre Billaud, a prominent French participant, this article describes for the first time in such detail the history of the development of the French hydrogen bomb in the 1960s and the organization of military nuclear research in France. ...
On November 1, 1952, the United States conducted its first thermonuclear test, ‘‘Ivy Mike,’’ seven years and three and a half months after its Trinity test. It took the Soviet Union four years (August 29, 1949 -- August 12, 1953) and the United Kingdom four years and seven months (October 3, 1952 -- May 15, 1957) to achieve thermonuclear capacity. And in the following decade, China did it, with its sixth test, in fewer than three years (October 16, 1964 -- June 17, 1967). Yet after Gerboise Bleue it took France eight and a half years to reach the same landmark, detonating its first thermonuclear device on August 24, 1968. Why such a long delay, especially since the French were pioneers in nuclear research?

1965: What We Knew About the Technical Aspects

From 1955 to 1960, as we prepared for the first French atomic test, we were also pondering thermonuclear weapons. But the prospect of hydrogen weapons seemed so far into the future that we did not work seriously on it. ... Li6D was commonly considered the best fuel for thermonuclear weapons, but we did not have any idea about how to burn it. All the problems with the thermonuclear bomb can be summarized by this question: how to discover the process that will allow the Li6D to undergo a fusion reaction?

... Compared to our American colleagues in 1948, French scientists had many advantages: we knew that hydrogen bombs existed and worked and that they used Li6D, and we understood the reactions at work. We also had powerful computers, of U.S. origin, which were not available in the late 1940s. And we knew, more or less, the dimensions and weights of the nuclear weapons deployed at NATO bases in Europe and their yields. ...

De Gaulle: It’s taking forever! ... I want the first experiment to take place before I leave! Do you hear me? It’s of capital importance. Of the five nuclear powers, are we going to be the only one which hasn’t made it to the thermonuclear level? Are we going to let the Chinese get ahead of us? If we do not succeed while I am still here, we shall never make it! My successors, from whatever side, will not dare to go against the protests of the Anglo-Saxons, the communists, the old spinsters and the Church. And we shall not open the gate. But if a first explosion happens, my successors will not dare to stop halfway into the development of these weapons.


... In January 1967, I published a voluminous report wherein I presented and developed my idea from late 1965, left idle since, explaining why the current studies were going in the wrong direction and producing a ridiculously low thermonuclear efficiency. I proposed a scheme with two consecutive steps: a cold Li6D compression increasing the density, from the normal value of 0.8 g/cm3, by a factor of at least 20, followed by a sufficient temperature increase (the ignition). In this report, I also gave orders of magnitude of the energies involved in each step... [[ One can make the (flawed) analogy of Billaud to Ulam (multi-stage insight, but no mechanism for compression), and Carayol to Teller (proposed the right mechanism for compression, although in Teller's case he may have learned of it from von Neumann and Fuchs!!!). ]] 
In early April 1967, Carayol had the idea that the x-rays emitted from the fission explosion could transport the fission energy to the thermonuclear fuel chamber to induce the necessary compression. He published a brief paper wherein he presented, and justified mathematically, his architectural idea. This was the key to the solution for an efficient thermonuclear explosive device, consistent with the current data about U.S. hydrogen weapons. Carayol had rediscovered the radiative coupling concept first introduced by Americans Stanislaw Ulam and Edward Teller in January 1951.

Michel Carayol, the Genuine Father of the French H-Bomb

Michel Carayol was born in 1934 and died in 2003. His father was an industrialist and his mother a teacher. He entered Ecole Polytechnique in 1954, graduated in 1956, and joined the Armament. In 1962, he was part of the DEFA assigned to CEA-DAM at Limeil. In 1967, Carayol was part of the advanced studies branch.

... Soon after, in April 1967, Carayol wrote a brief report describing his proposal for a cylindrico-spherical case in dense metal, containing a fission device on one side and a thermonuclear sphere on the other. The report showed that the photons radiated by the primary *still very hot* in the X-ray frequency range, swept into the chamber rapidly enough to surround completely the thermonuclear sphere before the metal case would be vaporized. Carayol had discovered independently a scheme equivalent to the concept developed by Ulam and Teller in the 50s.
But Carayol's insight was ignored! It was British assistance that alerted project leadership to the value of Carayol's ideas. It is not enough for some isolated genius to make a breakthrough -- the people in charge have to understand its value.
... During the first months of 1967, Viard had told me, ‘‘A British physicist is showing some interest in what we do.’’ At several embassy parties, a first-rate British atomic scientist, Sir William Cook, former director during the 1950s of thermonuclear research at Aldermaston, the British center for atomic military applications, had approached the military attache´ at the French Embassy in London, Andre´ Thoulouze, an Air Force colonel, and had hinted to our nuclear research program. Thoulouze had previously been in charge of an air force base and knew Rene´ David, who would later work at the DAM. For this reason, instead of contacting the French main intelligence services, Thoulouze directly contacted our information bureau at CEA, the BRIS, where David was working at the time. In analyzing the fallout from the French tests, the Americans, the British, and the Soviets knew that we had not made any real progress on the thermonuclear path. In 1966 and 1967 we had tested some combination of fission with light elements. Cook told Thoulouze that we had to look for something simpler.

Two weeks after the Valduc seminar, on September 19, and while the work resulting from the Valduc decisions had not yet concretely gotten under way, Thoulouze came from London bearing information from this qualified source. Jacques Robert immediately convened a meeting, in the DAM’s headquarters in Paris, to debrief this information. Only three other people attended the meeting: Viard, Bonnet (DAM’s deputy), and Henri Coleau (head of the BRIS). The information, very brief and of a purely technical nature, did not consist of outlines or precise calculations. Nevertheless, it allowed Bonnet to declare immediately that the Carayol design, proposed unsuccessfully as early as April 1967, could be labeled as correct.23 Had this outline not already been in existence, we would have had a difficult time understanding the information and might have suspected an attempt to mislead us. In fact, this was a reciprocal validation: Carayol’s sketch authenticated the seriousness of the source, while the latter confirmed the value of Carayol’s ideas. Without realizing it, as very few were aware of Carayol’s discovery (and surely not Cook), he had given us a big tip and unexpected assistance, as this information also freed us from the ministerial harassment to which we had been constantly subjected. From that moment, things moved briskly.
Encyclopedia Britannica:
Physicist Michel Carayol laid out what would be the fundamental idea of radiation implosion in an April 1967 paper, but neither he nor his colleagues were immediately convinced that it was the solution, and the search continued.

In late September 1967, Carayol’s ideas were validated by an unlikely source, William Cook, who had overseen the British thermonuclear program in the mid-1950s. Cook, no doubt at his government’s behest, verbally passed on the crucial information to the French embassy’s military attaché in London. Presumably, the British provided this information for political reasons. British Prime Minister Harold Wilson was lobbying for the entry of the United Kingdom into the Common Market (European Economic Community), which was being blocked by de Gaulle.

Sakharov sketch:


Note Added: Perhaps someone can translate part of this paper, which gives some details about the Chinese thermonuclear step, credit to Yu Min. Did they invent a mechanism different from Ulam-Teller? I can't tell from this paper, but I suspect the initial Chinese design used U-T. There are claims that Yu Min later developed, in the pursuit of miniaturization and improved safety, a qualitatively different design.

Yu Min was a student of Peng Huanwu (also a key figure in the bomb effort), who was a student of Max Born. Yu Min only recently passed, in early 2019!


Monday, March 18, 2019

Annals of Psychometry: 35 years of talent selection

David Lubinski kindly shared the recent paper linked below. He and I will both be at ISIR 2019, the annual meeting of the International Society for Intelligence Research.

Psychological Constellations Assessed at Age 13 Predict Distinct Forms of Eminence 35 Years Later (Psychological Science 2019, Vol. 30(3) 444–454).

The paper studies two populations:

1. 13 year olds identified through talented and gifted programs, all of whom scored in the top 1% in at least one of Mathematical or Verbal ability (based on SAT score; some scored at the 1 in 10k level). They were also assessed using a preference inventory (SOV = Study of Values). About 10% of this cohort of 677 were identified 35 years later as having achieved "eminence" in their careers -- e.g., full professor at R1 university, senior executive status, ...

2. Exceptional STEM graduate students at top 15 PhD programs, evaluated using GRE and SOV. If I'm not mistaken many or all of these students were NSF Graduate Fellows. About 20% of this population of 605 had achieved STEM eminence 25 years later.

I would estimate that only about one in a thousand individuals drawn randomly from the general population attains eminence as defined in the paper. Thus, the talent selection used to form cohorts 1&2 (e.g., SAT administered at age 13) produced success rates as much as 100 times higher than in the base population.

See related posts: 1 2 3
Psychological Constellations Assessed at Age 13 Predict Distinct Forms of Eminence 35 Years Later

Psychological Science 2019, Vol. 30(3) 444–454

Brian O. Bernstein, David Lubinski, and Camilla P. Benbow
Department of Psychology & Human Development, Vanderbilt University

Abstract
This investigation examined whether math/scientific and verbal/humanistic ability and preference constellations, developed on intellectually talented 13-year-olds to predict their educational outcomes at age 23, continue to maintain their longitudinal potency by distinguishing distinct forms of eminence 35 years later. Eminent individuals were defined as those who, by age 50, had accomplished something rare: creative and highly impactful careers (e.g., full professors at research-intensive universities, Fortune 500 executives, distinguished judges and lawyers, leaders in biomedicine, award-winning journalists and writers). Study 1 consisted of 677 intellectually precocious youths, assessed at age 13, whose leadership and creative accomplishments were assessed 35 years later. Study 2 constituted a constructive replication—an analysis of 605 top science, technology, engineering, and math (STEM) graduate students, assessed on the same predictor constructs early in graduate school and assessed again 25 years later. In both samples, the same ability and preference parameter values, which defined math/scientific versus verbal/humanistic constellations, discriminated participants who ultimately achieved distinct forms of eminence from their peers pursuing other life endeavors.
Note that even within both cohorts SAT / GRE were useful in predicting achievement outcomes. Click figures below for larger versions.



Thursday, February 07, 2019

Manifold Show, episode 3: Noor Siddiqui on Stanford and Silicon Valley



Show Page    YouTube Channel

Noor Siddiqui, Thiel Fellow, on Stanford and Silicon Valley – Episode #3
Corey and Steve interview Noor Siddiqui, a student at Stanford studying AI, Machine Learning, and Genomics. She was previously a Thiel Fellow, and founded a medical collaboration technology startup after high school. The conversation covers topics like college admissions, Tiger parenting, Millennials, Stanford, Silicon Valley startup culture, innovation in the US healthcare industry, and Simplicity and Genius.


man·i·fold /ˈmanəˌfōld/ many and various.

In mathematics, a manifold is a topological space that locally
resembles Euclidean space near each point.

Steve Hsu and Corey Washington have been friends for almost 30 years, and between them hold PhDs in Neuroscience, Philosophy, and Theoretical Physics. Join them for wide ranging and unfiltered conversations with leading writers, scientists, technologists, academics, entrepreneurs, investors, and more.

Steve Hsu is VP for Research and Professor of Theoretical Physics at Michigan State University. He is also a researcher in computational genomics and founder of several Silicon Valley startups, ranging from information security to biotech. Educated at Caltech and Berkeley, he was a Harvard Junior Fellow and held faculty positions at Yale and the University of Oregon before joining MSU.

Corey Washington is Director of Analytics in the Office of Research and Innovation at Michigan State University. He was educated at Amherst College and MIT before receiving a PhD in Philosophy from Stanford and a PhD in a Neuroscience from Columbia. He held faculty positions at the University Washington and the University of Maryland. Prior to MSU, Corey worked as a biotech consultant and is founder of a medical diagnostics startup.

Wednesday, December 05, 2018

The Quantum Theory of Fields


Excerpt from Sidney Coleman's Erice lectures. The period he describes just predates my entry into physics.
This was a great time to be a high-energy theorist, the period of the famous triumph of quantum field theory. And what a triumph it was, in the old sense of the word: a glorious victory parade, full of wonderful things brought back from far places to make the spectator gasp with awe and laugh with joy. I hope some of that awe and joy has been captured here.
Physics students learn quantum mechanics and special relativity as undergraduates, but typically do not encounter a synthesis of the two until graduate school, in a course on quantum field theory. Undergraduate quantum mechanics focuses on non-relativistic particles, moving at much less than the speed of light (e.g., the electrons in atomic systems or ordinary matter). Special relativity, as first encountered by students, is a modification of Newtonian (classical) mechanics, and ignores quantum effects.

In quantum field theory (QFT), the wave function of quantum mechanics Ψ(x) becomes a wave functional Ψ[ Φ(x) ], valued over field configurations Φ(x) which are themselves functions of spacetime coordinates. Individual particles are excitations ("quanta") of quantum fields. I think it is fair to say that almost no student really gets a deep understanding of quantum field theory when they take it for the first time. It is simply too complex to digest quickly. QFT introduces new intuitive pictures, novel calculational tricks, strange physical and mathematical constructs.

And how could it be otherwise? All of these tools are necessary to make sense of the generalization of ordinary quantum mechanics (of a finite number of degrees of freedom) to a physical system with an infinite number of degrees of freedom.

I first took quantum field theory (Physics 205) in my last year at Caltech, taught by Fredrik Zachariasen. Zachariasen used Bjorken and Drell I and II and Ramond as the main textbooks. He was what Russian theorists sometimes refer to as a "strong calculator" -- he would fill the blackboard with equations as fast as we could note them down. However, I would say his approach to the subject was rather old-fashioned by that time, and while I learned a good bit about the Dirac equation, spinors, how to compute Feynman diagrams, and even about path integrals, my overall understanding of the subject was still lacking. If I had been there the following year I would have enjoyed John Preskill's version of 205 (see below), but alas I was already in graduate school by then.

I remember that I also studied Feynman's short volume (in the Frontiers in Physics series; not to be confused with his later popular book) Quantum Electrodynamics. I was very confused at the time about the relationship between particles and fields and about so-called Second Quantization.  Also, what happened to the Schrodinger equation? At no point did Zachariasen (nor, I think, do Bjorken and Drell) clarify that while Dirac deduced his equation via relativistic generalization of Schrodinger's, the two are not on the same logical footing.

It was only some years later that I realized that Feynman himself had been confused about these things when he wrote his early papers on the subject. (Feynman, when someone explained a creation operator and Fock space to him: "How can you create an electron? It disagrees with conservation of charge!") Do Feynman diagrams describe spacetime trajectories of particles? Or are they simply graphical representations of terms in a perturbative expansion that happen to correspond, intuitively but not exactly, to physical processes?

As a first year graduate student at Berkeley I took Physics 230 from Stanley Mandelstam, a true master of the subject. This course was far more theoretical than the one I had taken the previous year. Amazingly, Stanley taught without notes. The only day he brought a single page of paper to class was when he covered the BPHZ proof of renormalizability. (Or was it the day he derived the beta function for non-Abelian gauge theories? I might be conflating two different instances.) His lectures followed no specific textbook, although the recommended one was probably Itzykson and Zuber.

My final student encounter with a QFT course was as the grader for Physics 230, taught by Martin Halpern. (I am sad to discover, in finding this link, that Marty passed away earlier this year.) Marty was a high strung chain smoker, and I recall many hours in his office going over solutions to his homework problems. He was especially on edge that fall because Vaughan Jones from the math department (who was about to share the Fields Medal with Ed Witten!) had decided to learn QFT and was sitting in on the class. As might be expected, the mathematician's insistence on clarity and precision slowed Marty down significantly. This wasn't Marty's fault -- QFT has not, even today, been placed on a completely rigorous footing (at least, not to the satisfaction of mathematicians), even though it is (in the form of Quantum Electrodynamics and the Standard Model) the most precisely tested theoretical construct in science.

This post is long enough. Perhaps I will revisit the topic in the future with a discussion of Sidney Coleman's lectures on QFT at Harvard, where I went after graduate school. It's nice to see that these lectures have been rendered into a book by his former students. For many years one could check out videotapes (Sony Betamax!) of his lectures from the physics library at Harvard. This made me think, even then, that the future of many professors might someday be as glorified teaching assistants, helping to explain and clarify recorded or streamed lectures by the true masters.

If I have kindled your interest in the subject, I recommend my friend Tony Zee's book: Quantum Field Theory in a Nutshell. Also, John Preskill's fantastic lecture notes, covering basic as well as advanced topics. It took me some time to learn to decipher his handwriting, but it was worth it!

Let me end by noting that the physics students who took these classes with me are quite a remarkable group. Among them are a number of well-known theoretical physicists, as well as the odd startup founder, AI researcher, or hedge fund billionaire. You could do worse in this life than get to know some students of quantum field theory :-)



Saturday, October 13, 2018

Physics as a Strange Attractor


Almost every student who attends a decent high school will be exposed to Special Relativity. Their science/physics teacher may not really understand it very well, may do a terrible job trying to explain it. But the kid will have to read a textbook discussion and (in the internet age) can easily find more with a simple search.

Wikipedia entry on Special Relativity:
In Albert Einstein's original pedagogical treatment, it is based on two postulates:

1. The laws of physics are invariant (i.e., identical) in all inertial systems (i.e., non-accelerating frames of reference).

2. The speed of light in a vacuum is the same for all observers, regardless of the motion of the light source.
What happens next depends, of course, on the kid. I posit that above a certain (perhaps very high) threshold in g and in intellectual curiosity, almost everyone will invest some hours to think about this particular topic. Special Relativity is fundamental to our understanding of space and time and causality, and has a certain intellectual and cultural glamour. Furthermore, it is amazing that a simple empirical observation like 2 above has such deep and significant consequences. A bright individual who invests those few hours is likely to come away with an appreciation of the beauty and power of physics and the mathematical approach to natural science.

I suspect that Special Relativity, because it is easy to introduce (no mathematics beyond algebra is required), yet deep and beautiful and counterintuitive, stimulates many people of high ability to become interested in physics.

So what can one conclude about an educated adult who does not understand Special Relativity? Does it suggest an upper bound (albeit perhaps very high) on a combination of their cognitive ability and intellectual curiosity? I mention curiosity (perhaps better to say interest in first principles or deep knowledge) because of course some (how many?) people of high ability will simply not be interested in the topic. However, as ability level increases the amount of effort necessary to learn and retain the information decreases. So someone with very off-scale ability would have to be quite incurious not to absorb and retain some basic understanding of relativity, if only from school days.

Years ago I was discussing a particle accelerator facility with a distinguished (internationally renowned) engineering professor. I mentioned that the particles in the beam would reach a certain fraction of the speed of light. He asked me why they could not reach or surpass the speed of light. It became obvious that he had essentially zero understanding of Special Relativity, and I was shocked.

We could go a bit further. General Relativity (also an invention of Einstein) describes the dynamics of spacetime (sound interesting?), and is connected to topics in popular culture such as black holes, time travel, wormholes, galactic empires, etc. General Relativity is far more complex than Special Relativity, but can be introduced to someone who has a good understanding of multivariable calculus. For example, Dirac's lecture notes on the subject provide a pedagogical introduction in only 62 pages. Yet what fraction of adults have even a modest grasp of this topic? Perhaps one in ten or a hundred thousand at best.

What is the cognitive threshold to learn Special or General Relativity? What is the cognitive threshold to remember something about it ten or twenty years later? Is the cognitive threshold higher, or the threshold in intellectual curiosity required to ponder such things?

See also One hundred thousand brains and Quantum GDP.

Saturday, August 04, 2018

Barista Bots



Still think low-skill immigration is a good idea?

If you accept the thesis that automation is a threat to low-skill employment, then you should be willing to reconsider the long term cost-benefit analysis of low-skill immigration.

Blog Archive

Labels