Website Sections
- Home Page
- Library of Eugenics
- Genetic Revolution News
- Science
- Philosophy
- Politics
- Nationalism
- Cosmic Heaven
- Eugenics
- Transhuman News Blog
- Future Art Gallery
- NeoEugenics
- Contact Us
- About the Website
- Site Map
News Categories
- Artificial Intelligence
- Astronomy
- Cyborg
- Eugenics
- Freedom
- Futurism
- Futurist
- Liberty
- Nanotechnology
- NASA
- Spirituality
- Transhuman
- Mesothelioma
Partners
The Bigger Bell Curve: Intelligence, National Achievement, and The Global Economy
This is a book that social scientists,
policy experts, and global investment analysts cannot afford to ignore. It is
one of the most brilliantly clarifying books this reviewer has ever read. IQ
and the Wealth of Nations does for the study of human diversity and achievement
among nations what The Bell Curve did for IQ and achievement in the USA. The
central thesis is that the IQs of populations play a decisive role in the economic
destinies of nations. With concise logic, Richard Lynn (professor emeritus of
psychology at the University of Ulster in Northern Ireland), and Tatu Vanhanen
(professor emeritus of political science at the University of Tampere in Finland),
systematically document their stunningly straightforward and yet greatly overlooked
hypothesis.
IQ and the Wealth of Nations analyses the relation between national IQ scores
and measures of economic performance. In one analysis of 81 countries for which
direct evidence on national IQs is available, mean national IQ correlates 0.71
with per capita Gross National Product (GNP) for 1998, and 0.76 with per capita
Gross Domestic Product (GDP) for 1998. Other analyses consistently demonstrate
national IQs predict both long term (1820-1922) and short term (1950-90; 1976-1998)
economic growth rates measured variously by per capita GNP and GDP (mean rs
~ 0.60). Regression analyses of the 81 countries, and then of 185 countries,
including 104 whose national IQs are estimated by averaging those from adjoining
countries, shows the national differences in wealth are explained first, by
the intelligence levels of the populations; second, by whether the countries
have market or socialist economies; and finally, by unique circumstances such
as, in the case of Qatar, by the possession of valuable natural resources like
oil.
The book has a lucid, expository style. Chapter 1 reviews the various theories
advanced over the last 250 years to explain why some countries are rich while
others are poor. These include climate theories (temperate zones are said to
be best), geographic theories (an East-West Axis is said to be best), modernization
theories (urbanization and division of labor are said to be good), dependency
theories (exploitation and peripheralization of poor nations are said to be
bad), neoliberal theories (market economies are said to be good), and psychological
theories (cultural values like thriftiness, the Protestant Ethic, and motivation
for achievement are said to be good). While some of these theories almost certainly
account for some of the disparities between countries, IQ scores turn out to
be the single best predictor.
Chapters 2 to 4 discuss the nature of general intelligence, defined as a single
unitary construct underlying performance on many specific cognitive tasks. A
review of the literature shows that an individual's intelligence is an important
determinant of his or her educational attainment, earnings, economic success,
and other significant life outcomes. In the United States and Britain, the correlation
between IQ and earnings is approximately 0.35, an association the authors argue
is causal because: IQs predate earnings, are moderately heritable, are stable
from 5 years of age onwards, and predict not only the earnings obtained in adulthood,
but educational level and many other positive outcomes along the way. It makes
sense that intelligence determines earnings because more intelligent people
learn more quickly, solve problems more effectively, can be trained to acquire
more complex skills, and work more productively and efficiently. Nations whose
populations have high IQ levels also have high educational attainment and relatively
large numbers of individuals who make significant contributions to national
life, including the social infrastructure conducive to economic development.
Conversely, nations with low levels of intelligence have low levels of educational
attainment and relatively few individuals who make significant positive contributions
to the social infrastructure. Low intelligence leads to a number of unfavorable
social outcomes including crime, unemployment, welfare dependency, and single
motherhood.
Chapter 5, the "Sociology of Intelligence," provides the first analyses
of IQ at the group level, analyzing sub-divisions within nations such as those
of cities, districts within cities, and regions. For example, studies carried
out using the 310 administrative districts of New York City in the 1930s, found
correlations of 0.40 to 0.70 between average IQ scores (gained from tests administered
to children in schools) and measures of per capita income, educational attainment,
welfare dependency, juvenile delinquency, mortality, and infant mortality. Similar
studies carried out in regions of the British Isles, France, and Spain in the
1970s corroborate these relationships.
Chapters 6 to 8 (and their appendices) provide the critical core of the authors'
analyses. These chapters describe in detail the variables and procedures by
which the very testable hypotheses are tested and confirmed. The main IQ data
are those published from 81 countries in the scientific literature over the
previous 70 years. These are standardized to a British mean IQ of 100 with a
standard deviation of 15, along with adjustments made for the secular increases
in IQ which average 2.5 points a decade since the 1930s. The IQ data turn out
to be highly reliable and valid. For example, in 45 countries for which there
are two or more IQ measures, the inter-correlation is 0.94; in 38 countries
for which there are data from international studies of achievement in mathematics
and science, the correlation with IQ scores is 0.87.
The widespread though rarely stated assumption of economists and political scientists
that the peoples of all nations have the same average level of intelligence
turns out to be seriously incorrect. To the contrary, the evidence clearly reveals
that there are considerable national differences in average intelligence level.
The highest average IQs are found among the Oriental nations of North East Asia
(IQ = 104), followed in descending order by the European nations of Europe (IQ
= 98), the nations of North America and Australasia (IQ = 98), the nations of
South and Southwest Asia from the Middle East through Turkey to India and Malaysia
(IQ = 87), the nations of South East Asia and the Pacific Islands (IQ = 86),
the nations of Latin America and the Caribbean (IQ = 85), and finally by the
nations of Africa (IQ = 70).
One of the most surprising aspects of these data is how few nations have IQs
as high as the British average of 100 (only 15 out of the 81, or less than 20%)
and how many nations have IQs of 90 or less (40 out of the 81, almost 50%).
The mean IQ of the 81 nations based on averaging the 7 regional IQs listed above
is 90, a serious problem if the book's conclusion is correct that IQ = 90 is
the threshold for having a technological economy. However, even if all the IQs
turn out to be underestimates, it is likely that the rank-order among the nations
will remain highly similar.
The range of IQs can be considerable within a geographic or political boundary.
For example, in Latin America and the Caribbean, IQs range from 72 in Jamaica
to 96 in Argentina and Uruguay and appear to be determined by the racial and
ethnic make-up of the populations. Some racially mixed countries were assigned
IQs proportionate to the IQs known for the various groups that make up the country.
Thus, the national IQ for South Africa is given as 72 based on the weighted
average for Whites, Blacks, Coloreds, and Indians (e.g., Owen, 1992).
For some (not all) analyses, 104 of the countries had their IQs estimated by
averaging those from the most appropriate neighboring countries. For example,
Afghanistan's IQ was estimated by averaging those from neighboring India (IQ
= 81) and Iran (IQ = 84) to give an IQ of 83. The tables provided in IQ and
the Wealth of Nations will be invaluable for researchers wishing to analyze
subsets of the data or to extend them with additional data. Of course, the authors
are aware that their data on both national IQs and economic indicators are only
estimates and will contain errors. Their stunning results, however, leave little
doubt that the margins of error were small enough to make the exercise meaningful.
Error variance is typically randomly distributed and so works to diminish the
strength of the associations between variables.
Although the correlations between IQs and economic performance are high, some
countries had higher or lower per capita incomes than expected from their national
IQs. These results are also informative. An analysis of those countries that
deviate most from a regression line shows that a major additional factor for
economic success consists of whether countries have market or socialist economies.
A third contribution to wealth is the unique circumstances a country finds itself
in.
Some of the countries with a large positive residual, and therefore a higher
per capita income than would be predicted from their IQs, are Australia, Austria,
Barbados, Belgium, Canada, Denmark, France, Ireland, Qatar, Singapore, South
Africa, Switzerland, and the U.S. With the exception of Qatar, South Africa,
and Barbados all of these are technologically highly developed market economies
and their higher than predicted incomes could be attributed principally to this
form of economic organization. Qatar's exceptionally high per capita income
is principally due to its revenue from oil exporting, which is actually managed
and controlled by corporations and people from European and North American countries.
South Africa's much higher than expected per capita income derives from the
high performance of the industries established and managed by the country's
European minority. Similarly, Barbados's high positive residual can be traced
to its well-established tourist industry and financial services, which are owned,
controlled and managed by American and European countries.
Some of the countries with a large negative residual are Bulgaria, China, Hungary,
Iraq, South Korea, the Philippines, Poland, Romania, Russia, Thailand, and Uruguay.
Some of these are present or former socialist countries. Iraq has suffered from
losing the Gulf War and a decade of UN trade sanctions. The Philippines have
had a large amount of ethnic conflict, which other studies show results in decreased
growth (across countries, a 1 SD increase in ethnic conflict is associated with
a 0.30 SD decrease in growth rate; Easterly & Levine, 1997).
Chapter 9 contrasts IQ theory with its competitors, explains anomalies, and
provides historical accounts of particular nations and regions. For example,
two significant exceptions to the view that a tropical climate is detrimental
to wealth are Singapore and Hong Kong, which lie in the tropical zone but are
among the richest countries in the world. Two exceptions to the view that a
temperate climate is beneficial are Lesotho and Swaziland, which lie slightly
south of the Tropic of Capricorn, but are among the poorest countries in the
world. The explanation for these differences can be understood in terms of intelligence
theory: the people of Singapore and Hong Kong belong to the ethnic group with
the highest IQs, while the people of Lesotho and Swaziland belong to the ethnic
group with the lowest IQs. Historical vignettes are presented to explain how
geographical isolation in central Asia (e.g., Tajikistan) may hinder economic
development, and how economic fluctuations in Britain, Germany, and India have
coincided with their governments' commitments to a market economy.
Modernization theories, according to which all nations would evolve from subsistence
agriculture through to various stages of urbanization and industrialization,
have worked for Western Europe and the Pacific Rim but have failed for the four
remaining groups of nations (South Asia, the Pacific Islands, Latin America,
and sub-Saharan Africa). IQ and the Wealth of Nations proposes that modernization
theories worked for Western Europe and the Pacific Rim because these nations
have appreciably the same or somewhat higher IQs than in the United States but
they did not work for the other four groups of nations because these have lower
IQs than those in the United States.
One of the most perplexing problems for the general theory is why the peoples
of East Asia with their high IQs lagged behind the European peoples in economic
growth and development until the second half of the 20th Century. China's science
and technology were generally more advanced than Europe's for around two thousand
years, from about 500 B.C. up to around 1500 A.D. In engineering, for example,
China had canal systems, including canal locks, centuries ahead of Europe. In
agricultural technology, the Chinese were the first to invent the collar and
harness for horses (250 B.C.), and the chain pump for lifting water for irrigation
(80 A.D.). They also invented the wheel barrow (240 B.C.), which did not appear
in Europe until 1250 A.D. In printing and paper making, the Chinese invented
making paper from bark (105 A.D.), printing from engraved wooden blocks (650
A.D.), printing with movable type (1040 A.D.), and color printing for paper
money (1100 A.D.). In military technology, the Chinese invented the stirrup
(475 A.D.) enabling soldiers on horseback to sit securely in the saddle and
attack enemies with swords and lances, gunpowder (1044 A.D.), rockets (1200
A.D.), bombs producing shrapnel (1230 A.D.), small firearms shooting bullets
from bamboo and metal tubes (1260 A.D.), and cannons (1280 A.D.). In Europe,
gunpowder wasn't used until the 1300s. In marine technology, the Chinese built
ships with rudders (2000 B.C.), and the magnetic compass for navigation at sea
(1100 A.D.). Still other Chinese inventions included: cast iron (300 B.C.),
iron chain supported suspension bridges (580 A.D.), spinning wheels (1035 A.D.),
water powered mechanical clocks (1080 A.D.), and porcelain (840 A.D.). In mathematics,
the Chinese invented the decimal point (1350 B.C.), and negative numbers (100
B.C.). In the 15th century Chinese inventiveness in science and technology came
to an end and from that time on virtually all the important advances were made
by Europeans, first in Europe and later in the U.S., perhaps because while Europeans
developed the market economy, the Chinese stagnated through authoritarian bureaucracy
and central planning.
The failure of Japan to develop economically until the late 19th century is
largely attributed to a regulated economy and isolation from the rest of the
world. By 1867-68 a revolution occurred and the new rulers embarked on a program
to modernize Japan by adopting Western education and technology, and by freeing
up the economy by transforming state monopolies into private corporations. Much
of the Japanese economic success in the 20th century was built by adopting inventions
made in the West, improving them, and selling them more competitively in world
markets. Japan thereby built up its motorcycle, automobile, shipbuilding, and
electronics industries. Although it is sometimes asserted that the Japanese
have not made any significant scientific and technological innovations of their
own, this underestimates their technological achievements. Philip's Science
and Technology Encyclopedia (1998) lists a number of important discoveries and
technological innovations made by the Japanese: the fiber-tipped pen (1960),
"bullet" trains traveling at 210 km per hour, much faster than any
Western trains (1964), laser radar (1966), quartz watches (1967), VHS video
home systems (1976), flat screen televisions using liquid crystal display (1979),
video discs (1980), CD-ROM (read only memory) disks (1985), digital audio tape
(1987), and digital networks for sending signals along coaxial cables and optical
fibers (1988).
African nations are at the other extreme to China and Japan in levels of national
IQ and this may explain why they are such a major anomaly for modernization
theory. The low rate of economic growth of African countries following their
independence from colonial rule in the 1960s is one of the major problems in
developmental economics. During the years 1976-98, the average rate of economic
growth per capita GNP of the 41 nations of sub-Saharan Africa for which data
are available is much lower than in the rest of the world. Many of the African
countries even suffered negative per capita growth rate since 1960 (see also
Easterly & Levine, 1997). Several economists have quantified all possible
factors such as climate, ethnic diversity, geography, mismanagement, unemployment
and the like and compared the situation to elsewhere in the world, especially
Asia, and have concluded that these factors do not provide a complete explanation
and that there is some "missing element." Some have identified the
low level of "social capital," i.e., the widespread corruption and
lack of trust in commercial relationships, poor roads and railways, unreliable
telephones and electricity supplies, and the prevalence of tropical diseases
such as malaria. IQ and the Wealth of Nations suggests that the missing link
is IQ, and that some of the factors identified by economists as contributing
to the low economic growth in sub-Saharan Africa are themselves attributable
to a low level of intelligence in the populations. For example, the poor telephone
services and electricity supplies, the low agricultural yields, and the poor
advice given by government advisory boards are themselves due to the low average
levels of IQ. With a cognitive capacity of IQ = 70, the populations of Africa
cannot be expected to match the rates of economic growth achieved elsewhere
in the world.
In chapter 10, the final chapter, various predictions are made. One clear prediction
is that future growth is most likely in those countries with the largest negative
residuals, that is, whose national IQ scores are high but whose present economic
performance is weak. The countries of the former Communist Blocs -- such as
Russia, Poland, Bulgaria, and Romania, and the People's Republic of China, and
Vietnam -- are obvious possibilities. This chapter also lists some of the factors
(both environmental and genetic) that might raise IQ scores, and so alleviate
the problem. These include better nutrition, education, and health, and also
ending the dysgenic fertility wherein the lowest IQ people produce the most
children. For example, fertility figures from countries such as Brazil, the
Dominican Republic, and Nicaragua show that among parents with secondary education
in the late 1990s, the average number of children produced lies between 1.8
and 2.2, while among women with the least education, it lies between 5.0 and
6.1. Thus the least educated are having two to three times the number of children
of the most educated. Since educational levels in these countries are to some
degree correlated with intelligence, their demographic trend is strongly dysgenic.
The final conclusion of IQ and the Wealth of Nations is that national differences
in IQ are here to stay, as is the gap between rich and poor nations. Hitherto,
theories of economic development have been based on the presumption that the
gaps between rich and poor countries are only temporary, and that they are due
to various environmental conditions that could be changed by aid from rich countries
to poor countries, and by poor countries adopting appropriate institutions and
policies. It has been assumed that all human populations have equal mental abilities
to adopt modern technologies and to achieve equal levels of economic development.
The authors call for the recognition of the existence of the evolved diversity
of human populations.
References
Easterly, W. & Levine, R. (1997). Africa's growth tragedy: policies and
ethnic divisions. Quarterly Journal of Economics, 112, 1203-1250.
Owen, K. (1992). The suitability of Raven's Standard Progressive Matrices for
various groups in South Africa. Personality and Individual Differences, 13,
149-159.
Philip's Science and Technology Encyclopedia (1998). London: Philip.
Transtopia
- Main
- Pierre Teilhard De Chardin
- Introduction
- Principles
- Symbolism
- FAQ
- Transhumanism
- Cryonics
- Island Project
- PC-Free Zone
More News
- Aerospace
- Astro Physics
- Beaches
- Eco System
- Gene Therapy
- Genetic Engineering
- Genetic Medicine
- Health Care
- Human Genetics
- Islands
- Libertarian
- Libertarianism
- Medical School
- Medicine
- Mind Upload
- Molecular Medicine
- Moore's Law
- Nano Engineering
- Nano Medicine
- Planetology
- Red heads
- Space Flight