Tag Archives: PISA

New Delhi Cuts Ties With PISA

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India backs out of global education test for 15-year-olds.

Indians were put to test for the first time in the last assessment in 2009. On the global stage, they stood second last among 73 countries, only beating Kyrgyzstan on reading, math and science abilities… This time around, sources said India shied away from the assessment as government officials felt our children were not prepared for such a test.

“India didn’t sign up for the PISA 2012 assessment because when countries were asked to sign up for that assessment, India had only signed up for the PISA 2009 assessment, which it carried out with a year later delay in 2010,” said Juliet Evans, who handles communication and administration for the PISA Secretariat. Unlike India, several other countries like Costa Rica, Malaysia, Georgia and the UAE who had carried out the PISA evaluation in 2010 did sign up for the upcoming assessment.

Which of these Soviet leaders does this remind you of?

Lenin, Stalin, Khrushchev and Brezhnev are all travelling together in a railway carriage. Unexpectedly the train stops. Lenin suggests: “Perhaps, we should call a subbotnik, so that workers and peasants fix the problem.” Stalin puts his head out of the window and shouts, “If the train does not start moving, the driver will be shot!” But the train doesn’t start moving. Khrushchev then shouts, “Let’s take the rails behind the train and use them to construct the tracks in the front”. But it still doesn’t move. Brezhnev then says, “Comrades, Comrades, let’s draw the curtains, turn on the gramophone and pretend we’re moving!”

Anyhow, most countries will continue participating, including some new ones. I am especially looking forwards to seeing how Vietnam performs. It is about ten years behind China, and its genetic IQ level is probably about 5 points lower than China’s. As such, if its IQ comes out to be appreciable lower than 95 (my own estimate is 90-92) then it would be a further blow against Ron Unz’s theory of the East Asian Exception (to the Flynn Effect).

Analysis Of Russia’s PISA 2009 Results

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A few months ago I posted a table and map of Russian IQ’s as derived from regional PISA performance. Those figures are based on Jarkko Hautamäki’s slideshow comparing regional PISA performance in Finland and Russia.

That material is a bit inadequate because, as had been my custom up that point, I was only making IQ estimates based on the Math and Science components of the PISA tests, and avoiding Reading to maintain reverse compatibility with my (now disused, in favor of just IQ) Human Capital Index. In light of some realizations that verbal IQ is no less important than numerical, I have updated the figures to include the verbal component as well. This doesn’t create any radical changes – the overall IQ only drops by 0.3 points – so I reuse the same map.

(Note that the legend on the map isn’t converted to IQ. “PISA scores, mean 500, SD 100, have to be transformed into IQ values, mean 100, SD 15, by adding or subtracting the deviation from the mean in the relationship 100 : 15 = 6,67.”)

Commentary

There are any numbers of comments one can make, but I will confine myself to the most important ones:

(1) In some regions, margins of error are high, as samples were low. Nonetheless, it is still possible to identify some concrete patterns. The overall estimate is very accurate because the sample was N=5,308 and representatively distributed across the country.

(2) Moscow pupils performed very well, at the level of the highest scoring OECD countries like Finland, Taiwan, and Korea. This is especially impressive considering the significant numbers of immigrants in that city from the North Caucasus and Central Asia, who come from poorly-scoring countries and rarely have good Russian. This is surely the result of a century of attracting Russia’s (the USSR’s) cognitive elite.

(3) St.-Petersburg and Tyumen oblast performed above the OECD average, while a few other regions performed at or only slightly below the OECD average.

(4) Among ethnic Russian republics, Siberian regions performed well, while the Urals and southern regions performed badly.

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rec1man On Indian IQ

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My post on Indian IQ (max potential is low to mid 90′s) spawned an interesting analysis by commentator rec1man. It is not very well organized but he does have a ton of useful information that deserves to be highlighted. It’s reprinted in full below interspersed with occasional commentary by myself:

Caste Analysis

75% of the Indian population gets affirmative action quota in India and is genetically low IQ.
25% of the Indian population is upper caste and higher IQ and does not get quota.
Most of the upper caste population has Y-DNA = R1A = Russian / Slavic.

AK: The Slavic max. potential IQ appears to be around 100.

In North India there are 3 levels of quota, each quota level corresponding to a different IQ level:
In North India Upper caste > Other Backward Caste > Dalit – Untouchable – Tribal.

In South India, there are 4 levels of quota:
Brahmin > Dravidian Backward Caste > Dravidian Most Backward caste > Dalit-Untouchable-Tribal.

Upper castes and Brahmins dont get quota. In North India, upper castes and Brahmins are genetically the same of Aryan origin. In South India, the only Aryan origin caste is Brahmin.
The others are Dravidian.

5% of the Indian population is of Oriental race and they dont have a high IQ.

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Disagree With Ron Unz’s Conclusions On Chinese IQ

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He writes:

These scores are indeed truly remarkable, and completely confirm the apparent pattern of Lynn’s IQ samples, in which desperately poor East Asians tend to score at or above the levels of the most successful and well-educated Western populations… But since the total population is at least well into the hundreds of millions, heavily rural as well as urban, the average PISA score of 520—corresponding to an IQ of 103—cannot be too dissimilar from the overall Chinese figure. And with China’s per capita GDP still only $3,700 and well over half the population still living in rural villages when the tests were conducted, these are absolutely astonishing results… Although opinions may certainly differ, I regard this new evidence as very strong support for my “East Asian Exception” hypothesis.

China isn’t anywhere near as backward as he portrays it.

(1) The urban-rural ratio was essentially 50/50 according to the 2010 Census. Furthermore, rural Chinese don’t really suffer from the absolute destitution common to peasants in Third World countries. They own their own land and it is almost impossible for them to lose it. Malnutrition is now close to non-existent. Slums are now very rare. According to a Gallup poll, Chinese now actually struggle less than Americans to buy food.

(2) Total Chinese meat consumption overtook US meat consumption in 1990, signifying a nutritionally adequate figure (as Americans eat a lot of and perhaps a bit too much meat anyway). Today Chinese meat consumption is half the US level. The PISA 2009 cohort would have been born in 1993, when Chinese nutrition had already essentially converged with the First World.

(3) He uses nominal GDP per capita which is quite meaningless. The PPP level of Chinese GDP per capita is $8,400 and that figure is probably underestimated.

Basically, if we adjust for the fact that in terms of basics (food, education, housing) China is now essentially equivalent to developed countries, it would make sense that its average IQ level is now only about 5 points from its potential maximum.

But really my fundamental problem with the “East Asia Exception” hypothesis is the huge paradox it exposes: Why was it Europe, and not China, that first underwent the Industrial Revolution? And the (initially unrelated) Scientific Revolution, for that matter? If as Ron Unz says the Flynn Effect barely applies to East Asian populations, then what you’d have had five centuries ago is 100mn Chinese, 20% of them urban – with an average IQ of maybe 95; and 100mn Europeans, only 5% of them urban – with an average IQ of 75. Sure Europe had various advantages (as chronicled by Jared Diamond, Kenneth Pomeranz, etc) but surely it couldn’t have trumped the effects of a 1 S.D. IQ advantage? That is why I believe the East Asia Exception to be historically implausible.

The Puzzle Of Indian IQ: A Country Of Gypsies And Jews

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The question of Indian IQ is a big puzzle. Far trickier than China’s IQ which I think I’ve basically figured out (101-102 today; 106-108 genetic ceiling).

The PISA-adjusted IQ of India – as extrapolated from the states of Tamil Nadu and Himachal Pradesh, which are relatively rich and are reputed to have good school systems by Indian standards – is a miserly 75.4; Richard Lynn, in his latest estimates based on an international standardized test from 1970 and a more recent TIMSS study in the states of Rajasthan and Orissa is 82.2. The chart above compiled by Steve Sailer from Lynn’s data on numerous IQ tests also indicates it is the low 80′s. In my opinion the low 80′s figures given by the IQ tests is more accurately reflective of today’s Indian g because PISA is after all an academic test and Indian schools leave a lot to be desired.

Regardless, the differences between Indians, and East Asians and Europeans, are huge. India is in fact at the upper level of sub-Saharan African IQ which typically ranges from 65 to 80. There are lots of factors holding India back: Malnutrition (which is on average perhaps worse than in sub-Saharan Africa), vegetarian diets, poor education system, a moderately high rate of consanguineous marriage. But all that said the sheer size of the gap makes me skeptical that all of it is down to environmental factors alone.

On the other hand the average IQ of Indian immigrants to the US is an Ashkenazi Jewish-like 112. Ramanujan was assessed by G.H. Hardy, no lightweight himself, as the most gifted mathematician of his age. Going back further in time, India has a pretty stunning religious, linguistic, mathematical, and philosophical heritage. Only a continuous stream of very high IQ individuals could have both created and sustained such a heritage.

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Analysis Of China’s PISA 2009 Results

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As human capital is so important for prosperity, it behoves us to know China’s in detail to assess whether it will continue converging on developed countries. Until recently the best data we had were disparate IQ tests (on the basis of which Richard Lynn’s latest estimate is an IQ of 105.8 in his 2012 book Intelligence: A Unifying Construct for the Social Sciences) as well as PISA international standardized test scores from cities like Shanghai and Hong Kong. However, the problem was that they were hardly nationally representative due to the “cognitive clustering” effect. The Chinese did not allow the OECD to publish data for the rest of the country and this understandably raised further questions about the situation in its interior heartlands, although even in 2010 I was already able to report a PISA representative saying that “even in some of the very poor areas you get performance close to the OECD average.”

As regards Chinese intelligence

Happily (via commentator Jing) we learned that the PISA data for Zhejiang province and the China average had been released on the Chinese Internet. I collated this as well as data for Chinese-majority cities outside China in the table below, while also adding in their PISA-converted IQ scores, the scores of just natives (i.e. minus immigrants), percentage of the Han population, and nominal and PPP GDP per capita.

Reading Math Science Average (native) IQ (native IQ) %汉族 GDP/c (n) GDP/c (P)
China* 486 550 524 520  ~ 103.0  ~ 91.6% 5,430 8,442
China: Shanghai 556 600 575 577 589 111.6 113.4 99.0% 12,783 19,874
China: Zhejiang 525 598 567 563 ~ 109.5 ~ 99.2% 9,083 14,121
Hong Kong 533 555 549 546 557 106.9 108.6 93.6% 34,457 49,990
Macau 487 525 511 508 514 101.2 102.1 95.0% 65,550 77,607
Singapore 526 562 542 543 550 106.5 107.5 74.1% 46,241 61,103
Taiwan 495 543 520 519 534 102.9 105.1 98.0% 20,101 37,720

* Twelve provinces including Shanghai, Zhejiang, Beijing, Tianjin, Jiangsu totaling 621 schools, 21,003 students. Results have been released for Shanghai, and later on for Zhejiang (59 schools, 1,800 students – of which 80% were township-village schools) and for the 12-province average.

(1) Academic performance, and the IQ for which it is a good proxy, is very high for a developing nation. Presumably, this gap can largely be ascribed to the legacy of initial historical backwardness coupled with Maoist economics.

(2) The average PISA-converted IQ of the 12 provinces surveyed in PISA is 103.0. (I do not know if provincial results were appropriately weighed for population when calculating the 12-province average but probably not). We know the identities of five of the 12 tested provinces (Shanghai, Zhejiang, Beijing, Tianjin, Jiangsu). They are all very high-income and developed by Chinese standards. Furthermore, these five provinces – with the exception of Tianjin – all perform well above average according to stats from a Chinese online IQ testing website.

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Did Ron Unz Score An Own Goal Too?

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In recent days Ron Unz’s article Race, IQ, and Wealth (The American Conservative) has been making the rounds in the HBDsphere. Broadly speaking it argues for the predominance of cultural and environmental factors as opposed to genetic in forming IQ. It is fairly long but it’s also one of the best statements of that position out there, and I highly suggest you go and read it in its entirety (as well as the good discussions it spawned at thanks to hbd* chick, Peter Frost, David Sanders, etc).

(Incidentally, part of the reason it is so good is that it avoids throwing round the racism card in addressing proponents of the genetic-determinist model of IQ, as do all too many mainstream commentators. That is really a kind of trolling, and by and by, will as such no longer be tolerated on this blog as it once was.)

To prove his case Ron Unz takes data from Lynn and Vanhanen, the two foremost compilers of global IQ data (along with Rinderman), and turns it against their own position that national IQ levels – barring a universal Flynn Effect – are essentially fixed: “… I would suggest that the heralded 300-page work by Lynn and Vanhanen constituted a game-ending own-goal against their IQ-determinist side, but that neither of the competing ideological teams ever noticed. … Given that Lynn and Vanhanen rank as titans of the racial-difference camp, perhaps their ideological opponents, who often come from less quantitative backgrounds, are reluctant even to open the pages of their books, fearful lest the vast quantity of data within prove that the racialist analysis is factually correct after all. Meanwhile, the pro-racialist elements may simply skim over the hundreds of pages of dry and detailed quantitative evidence and skip to the summary text, which claims that the data demonstrate IQ is genetically fixed and determines which nations will be rich and which will be poor.”

In support of his thesis Ron Unz cites the wide dispersion seen in IQ results for European populations, which are genetically close. Many East-Central European societies that scored low during the 1950′s-80′s have since come close to converging with results from Western Europe. Furthermore, South Europeans and East Europeans who migrated to the US in the 1920′s scored in the mid-80′s – a 1 S.D. discrepancy that is about as big as that which continually separates Blacks from whites. I.e., very significant. However, these folks all managed to integrate into American society and now have IQ’s higher than those of longer established (and more rural) groups such as the Germans and Dutch. In particular, he cites a test administered to 3,500 Irish schoolchildren in 1972, which showed an average IQ of just 87. That is almost 1 S.D. lower than the IQ of Irish-Americans, or for that matter, more recent PISA results which now show the Irish to be well within the European cognitive mainstream.

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Berlin Gets Bad News From PISA

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There are several ways to influence national mean IQ levels. One is to improve nutrition and education, but vitally important though they are, they suffer from diminishing returns as populations bump up against their genetic ceilings. Another is to promote eugenic policies, or at least policies to mitigate the dysgenic trends that are typical of modern developed societies, but they tend to be ethically questionable and politically unfeasible. The third major lever is the immigration system, but how can we assess whether it’s doing its job of only letting in the people who would be a net benefit to the host country?

In my wanderings through the interwebs, I found that the NCES has an excellent “International Data Explorer” with all kinds of socio-economic data on the tested students of each country that participated in the PISA standardized tests (which correlate closely with IQ). Of particular interest was data on scores broken down by immigration status (native, 1st generation, 2nd generation), which was frankly stunning in the degree to which it confirms various stereotypes and explains why migrants succeed in some countries and live in lawless ghettos in others. See the graph below (click to enlarge).

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Through A Glass Ceiling Darkly: Racial IQ Disparities And The Wealth Of Nations

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Now that I’m done with the Necessary Caveats, it’s time we had a look at why exactly HBD/IQ theories are both valid, and relevant to the real world. As I see it, their main import (as interpreted by me) can be distilled into a few logically consecutive, falsifiable statements:

  1. IQ tests are a valid, culturally fair measure of cognitive ability.
  2. It is hereditary.
  3. Race is real.
  4. There are racial/ethnic differences in average IQ that cannot be explained merely by reference to socio-economic or cultural factors.
  5. The US is an excellent “laboratory” to ascertain the average genetic IQ ceiling of different races and ethnicities.
  6. Average IQ influences prosperity, and general living standards.
  7. Consequently, knowing the racial constraints on average IQ’s – i.e., the IQ ceilings – we can estimate the relative development potential of different countries and regions.

All of them have have acquired a great deal of supporting evidence, even though they – or in particular, their linkage – remains taboo for the media and wider public discussion. By the numbers:

1. There is typically a large degree of correlation between various IQ tests, and academic achievement scores (1, 2). Nobody has yet discovered a test which has a negative correlation with a battery of other tests. This implies that there is a common “g factor” behind all types of cognitive ability.

Obviously this allows for very big variations within a single person. But within a group, someone who does well in one test will most likely also do well in another.

The argument that IQ tests are culturally biased is frequently made on the basis that they show differences in performance between racial/ethnic groups. This is a fallacy. In any case, there are IQ tests designed to be culturally fair insofar as they eschew words and test pattern recognition, such as Cattell Culture Fair III and Raven’s Progressive Matrices. These tests have a high correlation with the battery of other tests, i.e. they are valid reflections of g.

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The Geography Of Global Human Capital

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Today I discovered this really nifty tool, Target Map. It allows you to generate color-coded global and national maps just by uploading an Excel database.

In what will probably surprise no-one who follows my interests, my first map illustrates average PISA scores for Math, Reading, and Science for the 65 regions in the original 2009 study, 10 additional regions in a 2010 follow-up study, and the results from 12 of China’s provinces. The correlation between this map, a map of global IQ’s, and a map of GDP per capita - covered in detail on this blog – is startling to say the least.

(Click to enlarge). A table of PISA results, both average and by each of the three components, follows below the break.

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The Geography Of Russia’s Talent

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Human capital (primarily education) is the single most important factor behind long-term productivity gains, and hence economic growth. The relatively high human capital of Russia and China, which is comparable to developed country levels, is the most important reason why I rate their future prospects much higher than those of the other two BRIC’s, Brazil and India.

But the internal distribution of human capital is also very important. For instance, in Italy there is an almost perfect correlation between regional PISA scores in Math and Science, and regional GDP’s. I have long wanted to find a similar data set for Russia, and I finally did so today in Jarkko Hautamäki’s slideshow comparing regional PISA performance in Finland and Russia. Based on the figures there I estimated the PISA scores (Math and Science) for Russia’s regions and compiled the map below.

russia-map-pisa-results-2009

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Education as the Elixir of Growth

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What are the reasons behind the wealth and poverty of nations? Since this question has exercised the minds of thinkers from Adam Smith to David Landes, Jared Diamond and Richard Lynn, I decided to take a look at it myself. I came to the conclusion that while geography, macroeconomic policies, resource windfalls and the microeconomic environment do play important roles, by far the most important factor is the state of a country’s human capital – things like literacy rates, school life expectancy and performance on international student assessments.

This is not a new idea. A Goldman Sachs report, Dreaming with BRICs, noted that:

Many cross-country studies have found positive and statistically significant correlations between schooling and growth rates of per capita GDP—on the order of 0.3% faster annual growth over a 30-year period from an additional one year of schooling.

However, I think education is much more central to this. The problem with using years of schooling as a yardstick is that in many middle-income countries, like Argentina, Turkey or Brazil, the amount of schooling is converging to that of the developed world, but the quality isn’t. This is attested to by their performance on international student assessments like PISA. For instance, in the 2006 PISA Science assessment, only 15.2% of Brazilians were at Level 3 or higher (the threshold for moving beyond purely linear problem-solving), compared with 47.6% of Russian, 51.3% of American and 66.9% of Australian students. Is it really then surprising to discover that from 1997 to 2007 purchasing power GDP per capita in Brazil and Russia, both medium-income countries, has grown at 1.3% and 6.0%, respectively, i.e., that Russia is playing the game of economic catch-up much more successfully?

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