Introduction: The Worldwide Biocracy

1. Intellectual Hierarchy in Canada

2. Intellectual Hierarchy in Brazil

3. Intellectual Hierarchy in England

4. Intellectual Hierarchy in The Netherlands

5. Intellectual Hierarchy in the United States

6. Intellectual Hierarchy in Australia

7. Intellectual Hierarchy in Africa

8. Intellectual Hierarchy in Southeast Asia

Conclusion


Introduction

Whatever the country in the world, the hierarchy in social stratification remains strictly identical, with an order dictated by the racial IQ:

  1. Ashkenazi Jews (110)
  2. East Asians (105)
  3. Europeans (100)
  4. Southeast Asians (92)
  5. Arctic People (91)
  6. European-African hybrids (81-90)
  7. Native Americans (86)
  8. North African and South Asian (84-88)
  9. Africans (71-80)
  10. Australian Aborigines (62)

The differences are of course more marked between the races whose IQ differs appreciably and are more tenuous between the races of near intelligence.

This hierarchy is inevitable for:

  1. Education
  2. Average wages
  3. Crime rate (inversely proportional to IQ)
  4. Socio-economic status
  5. Fertility (inversely proportional to IQ). However, there are exceptions in this fertility rate, showing the place of certain cultural factors such as the high fertility rate of Hispanics of the Catholic religion.
  6. Mental retardation (increases while IQ decreases)
  7. Academic achievement
  8. Juvenile delinquency (increases while IQ decreases)
  9. The percentage of single mothers (increases while IQ decreases)
  10. Unemployment rate (increases while IQ decreases)
  11. Success at the SAT (entrance test of most American universities)
  12. The prevalence of talented people.

These differences all derive from the intellectual inequalities between the  races/populations of homo sapiens. Ashkenazi Jews, East Asians and Europeans (the First World) are genetically more intelligent, distinguished by higher rates of cultural achievement, higher wages, lower crime rate, higher socio-economic status, lower fertility rate, good academic achievements, low juvenile delinquency, low single mothers rate, limited unemployment rate, high THS achievement and high prevalence of gifted individuals.

Conversely, North Africans, Middle Easterners, Africans and Aborigines in Australia are characterized by lower intellectual ability, and as a result they reach lower education level, they get lower wages, they have an higher crime rate, lower socio-economic status , higher fertility, lower academic achievement with more juvenile disorders, a high percentage of single mothers, high unemployment, lower SAT scores, and lower gifted prevalence.

All data below are taken from ‘The global bell curve’ (2008) Richard Lynn. This book is available in pdf.

This unchanged hierarchy is the consequence of the highly genetic causality of intelligence. Regardless of the country, populations with a higher frequency of high intelligence alleles (Ashkenazi Jews, East Asians, Europeans) are better off than less intelligent populations with lower frequency of these alleles for a high intelligence and a smaller and less powerful brain (North African, Middle Easterners, African and Australian aborigines).


1. Intellectual Hierarchy in Canada

I.Q Canada

1.1 The Hierarchy Remains Dictated by I.Q for Education 

                                           Table 6.8. Race and ethnic differences in educational attainment

Measure Year jews Chinese British French European Native

American

Black
1 Illiterate % 1921 7 27 1 8 14  – 8
2 Illiterate % 1931 4 15 1 6 8 8
3 10th grade % 1951 53 31 55 30 35 6
4 10th grade % 1961 64 45 63 38 31 9
5 10th grade % 1971 80 75 77 59 58 38
6 10th grade % 1981 85 80 84 77 72 55 88
7 Years-NB 1981 13.5 13.1 11.7 11.1 11.9 11.8
8 Years-FB 1981 12.7 11.9 12.7 12.4 10.7 12.4
9 Years-M 1991 15.0 14.7 12.3 11.7 12.4 9.5 12.8
10 Years-W 1991 14.6 14.6 12.6 12.2 12.5 10.4 13.0
Sources: rows 1-6: Herberg, 1990b; rows 7-8: Li, 1988; rows 9-10: Sweetman & Dicks, 2000.

1.2 The Hierarchy Remains Dictated by IQ for the Salaries

                                     Table 6.11. Race and ethnic differences in annual earnings, 1941-2001

Year Jews Chinese British French European Native
American
Black Southeast
Asian
1 1941 1,327 931 1,515 1,007 1,115 802  –
2 1951 2,619 2,100 2,481 2,150 2,232 1,404
3 1961 7,426 3,895 4,852 3,872 3,319
4 1971 12,368 6,668 8,500 7,307 7,846
5 1981 21,349 13,292 15,100 13,831 13,367 9,032 13,029
6 1991 50,100 34,570 34,660 31,615 33,100 27,535 28,495 35,615
7 2001 73,928 40,817 43,398 32,176 35,100 34,100
Sources: 1941-1981: Herberg (1990b). 1981-2001: Statistics Canada.

1.3 Inverse Relationship between IQ and Crime Rates

  Table 6.16. Race differences in crime (per 1,000 population)

Year Sex White Black Indian South Asian Chinese
1992 M/F 7.1 36.9 19.9 4.6 3.5

2. Intellectual Hierarchy in Brazil

brazil-i-q-races

2.1 Hierarchy Remains Dectated by IQ for Education

                Table 4.3. Race and ethnie differences in educational attainment and literacy (percentages)

Measure Year japanese Whites Mulattos Blacks
1 High school 1950 4.9 0.5 0.2
2 Literate 1950 59.3 31.1 26.7
3 Degree 1980 10.0 6.4 1.9 1.0
4 Literate 1991 84.3 66.6 65.3
5 High school-M 1996 56.5 39.3 28.0
6 High school-F 1996 64.9 48.1 45.4
7 Literate 1999 91.7 80.4 79.0
8 Degree 1996 10.0 2.4 1.8

 2.2 Hierarchy Remains Dectated by IQ for Salaries and Socioeconomic Status 

           Table 4.4. Race and ethnic differences in earnings and socioeconomic status

Measure japanese Europeans Mulattos Blacks
1 Income, 1960 11,601 6,492 5,444
2 Income, 1980 35,610 21,867 11,053 9,004
3 Income, 1991 224,752 132,400 129,165
4 Poverty, 1987 24%   44% 46%
5 Professionals, 1950 4.5% 2.4% 2.1%
6 Professionals, 1980 9.0% 3.8% 2.5%
7 Professionals, 1991 27.5% 15.8% 12.1%
8 Unemployment: M 3.5% 4.1% 4.8%
9 Unemployment: F 3.3% 3.6% 4.4%
Sources: 1: Marx, 1998; 2-3, 6-7: Lovell, 1993; 4-5 Andrews, 1992; 8-9: PNAD, 1997


2.3 Inverse Relationship between IQ and Crime Rates

Table 4. 10. Percentages of races in population and convictions for homicide, 2003

Race % Population % Homicide
White 53 39.7
Mulatto 40 49.9
Blacks 6 9.8
Asians 1 0.4


2.4 About Mothers

Table 4.12 Race differences among mothers in Rio de Janeiro in 2000

Measure Whites Mulattos Blacks
Age <20 years 16.3 22.3 24.5
Education <4 years 5.8 10.6 13.9
Higher education 13.1 2.8 1.3
Smoked while pregnant 10.3 14.9 18.5
Baby syphilitic 0.8 1.9 3.0

3. Intellectual Hierarchy in England

 3.1 Racial Composition of England (table 5.1 and 5.2)

Table 5. Nomber of non-europeans in England, 1951-2001

Year Blacks Indians Pak./Ban. Chinese
1951 16,000 111,000 11,000
1961 172,000 157,000 31,000
1971 302,000 313,000 136,000
1991 890,000 840,000 640,000 157,000
2001 1,100,000 1,100,00 1,000,000 209,000

Table 5. Race and Proportion of the English Population

Year Whites Blacks Indians Pak./Ban. Chinese
1991 94.5 1.6 1.5 1.2 0.3
2001 92.4 2.1 1.9 1.4 0.4

3.2 Hierarchy Remains Dictated by IQ for Salaries

 Average weekly earnings of racial groups

  Year White Black Indian Pak./Ban. Chinese
1 1994 331 311 317 220 368
2 1995 309 268 279 230 342
3 2001 332 225 327 182

 

3.3 Inverse Relation between IQ and Crime Rates

Table 5. 7. Incidence of mental retardation and backwardness (percentage)

  Date Condition Whites Blacks S. Asians
1 1970 Retardation 0.68 2.33 0.40
2 1972 Retardation 0.66 2.90
3 1980 Backwardness 8.00 19.00 12.00

3.4 Hierarchy Remains Dictated by IQ for Education (tableau 5.8, 5.9 et 5.10)

Table 5.8. Race differences in educational attainment at age 7 (percentage passes)

Group Reading Writing Arithmetic
Chinese 90 88 96
Whites 85 82 91
Mixed 85 82 91
Asians 80 78 86
Blacks 78 74 84

Table 5.9. Race differences in educational attainment (Percentage passes)

  Age 11 Age 14
Group English Math Science English Math Science
Chinese 82 88 90 80 90 82
Whites 76 73 87 70 72 70
Mixed 77 72 87 69 69 67
Asians 69 67 79 66 66 59
Blacks 68 60 77 56 54 51

Table 5. 10. Race differences in educational attainment for 11 -year olds (percentage)

Group N English Math Science
jews 905 92 91 95
Chinese 1,938 81 89 89
Whites 489,887 78 74 87
South Asians 38,721 74 69 79
Indian 12,725 83 80 87
Pakistani 16,307 68 61 72
Bangladeshi 5,979 71 66 77
Other Asian 3,710 75 77 82
Blacks 21,575 70 63 77
Caribbean 8,739 70 61 78
African 10,617 69 64 75
Other Blacks 2,219 71 64 80
Others 4,804 66 70 76
Unclassified 18,530 71 68 81
Total 592,163 77 73 86

3.5 Inverse Relation between IQ and Delinquency 

Table 5. 19. Race differences in conduct disorders in children (odds ratios)

  Sex White Black Chinese S. Asian
1 M/F 1.0 1.4    
2 M 1.0 3.9    
3 F 1.0 2.3 ?
4 M/F 1.0 4.4 0.18 0.92
Sources: 1: Goodman & Richards, 1995; 2-3: Tizard et al., 1988; 4: Gillborn and Gipps, 1996.

3.6 Inverse Relation between IQ and Crime Rates

Table 5.20. Race différences in crime (odds ratios)

  Year Sex White Black Indian Pak./Ban. Chinese
1 1993 M 1.00 6.10 0.87 0.87 ?
2 1995 M 0.88 7.12 0.87 1.42 0.66
3 1995 F 0.80 12.19 0.60 0.50 0.66
Sources: 1: Smith, 1997; 2-3: Home Office, 1998.

3.7 Inverse Relation between IQ and Single Teenage Mothers 

Table 5.22. Race differences in single teenage mothers (percentages)

  Year White Black S. Asian Reference
1 1980 7 27 2 Brewer & Haslum, 1986
2 1994 6 21 6 Modood & Berthoud, 1997

3.8 Inverse Relation between IQ and Fertility Rates

Table 5.23. Race différences in fertility (TFR)

  Year White Black Chinese Indian Pak./Ban.
1 1988 1.8 2.8 1.3 4.3 6.1
2 1991 1.8 2.7 2.5 5.0
3 2001 1.6 2.2 2.3 4.3


4. Intellectual Hierarchy in The Netherlands

Hollande I.Q

Composition of the population of the Netherlands around 1995

Dutch Antilles China Indonesia Morocco Surinam Turkey
14.6m 93,000 50,000 75,000 203,000 275,000 247,000

4.1 Hierachy Remainds Dictated by IQ for Education

Table 10.8. Race differences in educational attainment, 1998 (percentages)

  Dutch Surinamese Turks Moroccans
Primary only 20 30 70 80
Some High school 18 29
Competed High school 54 56    
University Degree 28 15 ?  
Sources: row 1: Hagendoorn et al., 2003; rows 2-4: van Niekerk, 2000.

 

4.2 Hierarchy Remains Dictacted by IQ for Socioeconomic Status 

Table 10.9. Race Differences in socioeconomic status (percentages)

SES
Race 1 2 3 4 5
Dutch 5.3 8.4 30.1 24.4 31.9
Turk/Moroccans 9.2 20.0 70.8

4.3 Inverse Relation between IQ and Unemployment Rates

Table 10.10. Race différences in unemployment (percentages)

Year Indigenous Antilleans Moroccans Surinamese Turks Europeans
1979 6 25
1989 13 24 44 23 42 ?
1995 8 23 27 25 22 18

4.4 Inverse Relation between IQ and Crime Rates 

Table 10.11. Race and ethnic differences in juvenile crime (odds ratios)

  Dutch Creoles Indians Moroccans Turks
1 1.0 1.9 0.9 ?
2 1.0 2.7 3.8 1.4
Sources: row 1: Junger and Polder, 1993; row2: Junger-Tas, 1997.


5. Intellectual Hierarchy in the United States

america I.Q races

5.1 Hierarchy Remains Dictated by IQ for Education (tables 13.3 et 13.6)

Table 13.3. Race and ethnic differences on the SAT in 2003

Race Verbal Math Total
Asians 508 575 1083
Blacks 431 426 857
Hispanics 457 464 921
Native Americans 480 482 962
Whites 529 534 1063
SD 113 115

Note that the policy of “positive discrimination” is precisely intended to equalize racial differences by artificially increasing the scores of African-Americans and withdrawing points from East Asians. How does positive discrimination work?

Table 13.6. Race and ethnic differences in high school diploma and college degree, 1980-1990 (percentages)

  Group H.S. Diploma, 1980 H.S. Diploma, 1990 Degree 1990
1 Blacks 62 75 13
2 East Asians 86 91 37
3 Hispanics 43 51 10
4 jews 92 97 ?
5 Native Americans 62 75 ?
6 S.E. Asians 20
7 Whites 79 91 26
Source: Darity, Dietrich, & Guilkey, 1997

5.2 Inverse Relation between IQ and Mental Retardation

Table 13.4. Prevalence of mental retardation (MR) and learning disability (LR) (percentages)

  Condition Asian Black White Hispanic Native American
1 MR 5.3 1.7 ?
2 MR 0.5 2.1 1.0 1.0 1.2
3 LD 2.0 7.0 6.0 5.4 6.3
4 LD 18.6 9.7 15.0 ?
Sources: 1: Broman, Nichols, Shaughnessy & Wallace, 1987; 2-3: Zhang and Katsiyannis, 2002; 4: Office of Civil Rights, US Dept of Education.

5.3 Hierarchy Remains Dictacted by IQ for Salaries 

Table 13. 10 Race and etbnic differences in average annual earnings ($1000) for men aged 25-54

Group 1980 1990
Asians 23.5 46.4
East Asians 26.6
Southeast Asians 20.3
Blacks 18.6 24.5
Hispanics 19.3
jews 32.4
Native Americans 19.1
whites 23.4 46.4

5.4 Hierarchy Remains Dictated by IQ for Socioeconomic Status 

The socio-economic status is calculated by Duncan’s index, which gives a score to each occupation (for example to a physicist 100, to a worker 1). An average of these results is then made.

Table 13.14. Race and ethnic differences in socioeconomic status, 1880-1990

Group 1880 1900 1910 1980 1990
Blacks 11.70 13.03 13.65 29.19 30.81
East Asians 13.41 13.36 17.63 49.32 51.75
English 24.38 28.14 30.39 45.17 47.61
Scots-Irish 22.57 27.62 31.64 46.09 46.73
Europeans 21.39 19.36 24.78 43.93 44.67
Hispanics 13.60 11.54 12.54 27.85 27.48

5.5 Hierarchy Remains Dictated by IQ for the Frequency of the Gifted

Table 13.17. Prevalence of the gifted (rows 1 and 2: odds ratios; row 3: percentages)

  Years Asian Black Hispanic Native American White
1 1984-1993 1.80 0.45 0.45 0.90 1.60
2 1988 2.17 0.37 0.45 0.17 1.86
3 UC Eligible 32 2.5 3.5 12.4

Table 13.19. Rates of inclusion in ‘Whos Who in America (per 10,000 population)

Group 1924-25 1944-45 1974-75 1994-95 % change 1975-95
Black 0.06 0.07 0.37 0.53 43
English 3.74 3.74 3.88 2.83 -27
Italian 0.09 0.33 1.31 2.72 108
Jewish 1.59 1.97 8.39 16.62 98
Scandinavian 0.42 1.29 3.57 4.79 34
Slavic 0.16 0.29 1.48 3.52 138
Total 2.27 2.48 3.42 3.55 4

5.6 Inverse Relation between IQ and Crime Rates

Table 13.20. Race différences in rates of crime in 1994 (odds ratios)

Group Prison Assault Homicide Rape Robbery
Black 8.1 5.0 11.0 5.5 11.2
East Asian 0.5 0.5 0.6 0.4 0.8
Hispanic 3.6 3.0 2.5 3.0 3.0
Native American 2.7 2.0 2.0 1.7 2.1
White 1.0 1.0 1.0 1.0 1.0

6. Intellectual Hierarchy in Australia

Australia I.Q races

6.1 Intelligence of Australian Aborigines

The median value is 62 and can be seen as the best estimate of Australian Aboriginal intelligence.

 Table 3. 1. Studies of the intelligence of Australien Aborigines

Age N Test IQ Reference
Adults 56 PM 66 Porteus, 1931
Adults 24 PM 59 Piddington & Piddington, 1932
Adults 268 Varions 58 Porteus, 1933a, 1933b
Adults 31 AA/PF 69 Fowler, 1940
Adults 87 PM 70 Porteus & Gregor, 1963
11 101 QT 58 Hart, 1965
Adults 103 PM 74 Porteus et al., 1967
5 24 PPVT 62 De Lacey, 1971a, 1971b
6-12 40 PPVT 64 De Lacey, 1971a, 1971b
Adults 60 CPM 53 Berry, 1971
3-4 22 PPVT 64 Nurcombe & Moffit, 1973
6-14 55 PPVT 52 Dasen et al., 1973
9 458 QT 58 McElwain & Kearney, 1973
13 42 SOT 62 Waldron & Gallimore, 1973
6-10 30 PPVT 59 De Lacey, 1976
25 22 CPM/ KB 60 Binnie-Dawson, 1984

Nurcombe et al., 1999

4 55 PPVT 61

6.2 Hierarchy Remains Dictated by IQ for Education

Table 3.2. Educational attainment of Australien Aborigines and Europeans in 1996 (percentages)

  Qualification Sex Aborigines Europeans Ratio
1 Skilled vocational M 16.3 23.8 0.68
2 Skilled vocational F 3.3 4.1 0.81
3 Bachelor degree M 2.6 10.1 0.26
4 Bachelor degree F 4.3 11.4 0.38
5 Higher degree m 0,3 2,4 0,13
6 Higher degree f 0,4 1,4 0,29

Table 3.3. Educational attainment of Australian Aborigines and Europeans in 1996

Subject Aborigines Europeans d
Reading 440 531 1.82
Math 450 530 1.60
Science 445 525 1.60

Table 3.4. Intelligence and homework of Chinese and Vietnamese

Group N IQ Homework/Week
Chinese 29 106 12.0 hours
Vietnamese 56 100 8.5 hours
Europeans 75 100 5.1 hours

Table 3.5. Proportions of students enrolled in higher education (odds ratios)

Group   OR
Europeans Native 1.11
Europeans Foreign-ES 0.73
Europeans Foreign-SEE 0.21
East Asians Hong Kong 2.40
East Asians Malaysia 1.94
East Asians Vietnam 1.43

Foreign-SEE : southest europe (grece et yougoslavie)

Foreign-ES (eglish speaking from britain and ireland)

6.3 Hierarchy Remains Dictated by IQ for Salaries

Table 3.7. Incomes of Aboriginal men as percentages of Europeans

Year Group Aborigines Europeans
1980 Ail 50.5 100
1990 All 55.5 100
1980 Employed 65.2 100
1990 Employed 66.7 100
1996 All 65.1 100

6.4 Hierarchy Remains Dictated by IQ for Unemployment Rates

Table 3.8. Unemployment rates of Aborigines and Europeans (percentages)

Year Aborigines Europeans
1981 25.1 6.1
1986 35.0 9.0
1991 30.1 11.3
1996 22.7 9.0

Table 3.9. Unemployment of Aborigines and immigrants, 1985-1988

  Group Weeks Unemployed
1 Australien Aborigines 39.80
2 1st generation immigrants-ES 0.13
3 1st generation immigrants-ENES 7.67
4 1st generation immigrants-Asian 12.61
5 2nd generation immigrants-ES 1.75
6 2nd generation immigrants-ENES 3.64
7 2nd generation immigrants-Asian 0.06

ES : english speaking (from britain and ireland)

ENBS: European non british speaking

6.5 Inverse Relation between IQ and Crime Rates

Table 3. 10. Imprisonment rates of Aborigines and Europeans per 1,000 population, 1990s

Crime Aborigines Europeans Ratio
juvenfles 48
Adults 28.0 1.1 26

6.6 Hierarchy Remains Dictated by I.Q for Life Expectancy and General Health

Table 3.11. Infant mortality per 1,000 population and life expectancy of Aborigines and Europeans

  Mortality Year Aborigines Europeans
1 Infant mortality 1976 51.6 13.0
2 Infant mortality 1980 33.1 10.2
3 Infant mortality 1996 12.7 5.0
4 Life expectancy 1978 53.0 73.0
5 Life expectancy-M 1996 57.0 75.0
6 Life expectancy-F 1996 64.0 81.0

7. Intellectual Hierarchy in Africa

Africa I.Q races

7.1 Hierarchy Remains Dictated by IQ for Education

Table 2.3. IQs of university students in South Africa

  Test N Africans Indians Europeans Reference
1 APM 80 84   103 Poortinga, 1971

Poortinga &

Foden, 1975

2 Blox 97 72 100
3 Blox 600 79 100 Taylor &

Radford, 1986

4 WISC-R 63 75 Avenant, 1988
5 SPM 147 100   Zaaiman, 1998
6 SPM 30 77 Grieve & Viljoen, 2000
7 SPM 309 83 103 Rushton & Skuy, 2000
8 SPM 60 82 105 Sonke, 2001
9 SPM 70 81 Skuy et al., 2002
10 SPM 342 93 98 106 Rushton et al., 2002
11 APM 294 99 102 113 Rushton et al., 2003
12 APM 306 101 106 116 Rushton et al., 2004

Table 2.4. Race differences in educational attainment in South Africa (percentages)

  Year Measure Whites Indians Coloreds Blacks
1 1980 Primary 15 33 44 37
2 1980 Secondary 57 38 23 14
3 1980 University 4.2 0.26 0.15 0.05
4 1991 Matric. 23.4 19.2 4.8 2.8
5 1991 University 3.6 2.5 0.7 0.6
6 2004 University 29.8 14.9 4.9 5.2
Sources. 1-3: Mickelson et al., 2001. 4: Census, 1991 5: Richardson et al., 1996. 6: www.SouthAfricaninfo.com..

Table 2.5. Race differences in mathematics attainment

  Whites Indians Coloreds Blacks
Number 831 199 1,172 5,412
Score 373 341 339 254
S. Error 4.9 8.6 2.9 1.2

Table 2.6. Education (number of years) of blacks and Indians in Tanzania

Year Blacks Indians
1971 3.6 8.3
1980 6.2 11.1

Table 2.7. Examination attainment of blacks and Indians in East Africa (percentage)

  Country Division Blacks Indians
1 Kenya 1 12.2 40.0
2 Kenya 2 23.0 40.0
3 Tanzania 1 9.4 12.9
4 Tanzania 2 35.4 45.2

7.2 Hierarchy Remains Dictated by IQ for Salaries

Table 2.8. Race and ethnic differences in South Africa in earnings

  Year Whites Indians Coloreds Blacks
1 1936 129.6 27.6 18.8 12.8
2 1946 238.1 45.7 34.1 23.2
3 1995 103,000 71,000 32,000 23,000
4 2000 158,000 85,000 51,000 26,000
Sources: rows 1 and 2: Reynders, 1963; rows 3 and 4: Earning and Spending in South Africa: Selected findings and comparisons from the income and expenditure surveys of October 1995 and October 2000. www.statssa.gov.za.


Table
2.9. Earnings of Indians and Europeans in Kenya expressed as Multiples of earnings of blacks

Year Blacks Indians europeans
1914 1 26 144
1927 1 25 107
1946 1 22 84
1960 1 20 57
1971 1 24 42

Table 2. 10. Earnings per month (Sb) of blacks and Indians in Tanzania

Year Blacks Indians Reference
1971 273 829 Armitage & Sabot, 1991
1980 1584 668 Armitage & Sabot, 1991

7.3 Hierarchy Remains Dictated by IQ for Socioeconomic Status

Table 2.11. Race difference in socioeconomic status in South Africa in 1980 (percentages)

  Measure Whites Indians coloreds Blacks Reference
1 Professional 20.0 10.0 6.0 4.0 Mickelson et al., 2001
2 Administrators 5.0 2.5 0.2 0.1 Mickelson et al., 2001

Table 2.12. Socioeconomic status differences between blacks and Indians in Tanzania (percentages)

Country Blacks Indians
White collar 11 59
Skilled 29 31
Semi-skilled 40 9
Unskilled 20 1

7.4 Inverse Relationship between IQ and Poverty

Table 2.13. Race differences in poverty and malnutrition in South Africa

Measure Whites Indians Coloreds Blacks Reference
Poverty 12.0 21.0 34.0 52.0 Hirschowitz & Orkin, 1997
Malnutrition 5.7 18.0 32.0 Burgard, 2002

7.5 Inverse Relationship between IQ and Crime Rates

Table 2.14. Race differences in homicide per 100,000 population in South Africa

Year Whites Indians Coloreds Blacks
1978 3.8 4.4 26.5 23.9
1981 6.8 10.0 76.6 24.5
1984 5.8 9.9 58.0 34.5

7.6 Inverse Relationship between IQ and Infant Mortality

Table 2.15. Race differences in infant mortality per 1,000 live births

Year Whites Indians Coloreds Blacks
1945 40.3 82.5 151.0 190.0
1987-89 7.9 14.4 33.4 61.0

7.7 Inverse Relationship between IQ and Fertility Rate

Table 2.16. Race differences in fertility (TFR) in South Africa

Year Whites Indians Coloreds Blacks
1945-50 3.4 6.5 6.2 6.1
1965-70 3.1 4.2 6.1 5.8
1987-89 2.0 2.4 2.9 4.1

8. Intellectual Hierarchy in Southeast Asia

Chinese communities live throughout Southeast Asia (Cambodia, Indonesia, Malaysia, Philippines, Thailand, etc.). These small minorities are significantly more intelligent than Southeast Asians and socio-economically dominate the majority indigenous populations. The Chinese are also called the “Jews of the East” by several sociologists. They also capture a very significant share of places in universities, as a result of which quotas and restrictions have been put in place against them in almost all South Asian countries. As in other multi-ethnic countries, the socio-economic hierarchy is dictated by IQ. East Asians form a distinct race (Chinese, Koreans, Japanese, etc.), their brain is larger than that of South-East Asians. , they have a higher frequency of genes increasing intelligence and their average IQ is significantly higher (105 compared to 89 for Southeast Asians). This 16-point difference is almost identical to the 15-point difference between African-Americans and Europeans in the USA. It explains Chinese domination.


In all Southeast Asian countries, the Chinese capture a share of wealth far greater than their proportion in the population. The ‘Control of Wealth’ in the table below indicates the share of capitalization of East Asian companies owned by Chinese. In Indonesia, for example, the Chinese are only 3.8% of the population but own 73% of the companies.

In Indonesia, the IQ difference between the indigenous and the Chinese is 18 points. The Chinese are much more intelligent and do better on university entrance tests. In 1982, the Indonesian government introduced quotas limiting the share of Chinese in universities to 6%. Southeast Asians with lower scores were admitted instead of Chinese (very similar to what happens in the USA with “positive discrimination” allowing African-Americans and Hispanics to enter universities with lower scores than Europeans and East Asians).
Representing only 3.8% of Indonesia, the Chinese own 78% of the national wealth (Rigg, 2003). Similar figures have been given by Gooszen (2002) who estimates that in the first half of the twentieth century the Chinese controlled 90% of the economy, while Mosher (2000) states that they owned 110 of the 140 largest corporate conglomerates.
In multiracial societies, successful minorities arouse envy, resentment, and frequently hatred from underperforming majorities. This can escalate into violence in which underperforming majorities attack, expropriate, or even kill higher IQ minorities. Throughout history, gentiles have persecuted Ashkenazi Jews, who with their high IQs have generally been successful and envious. The Chinese have attracted similar hostility in Indonesia. They were safe during the period of Dutch rule when law and order were maintained, but during the civil disorder of 1945-47 and the Indonesian takeover of political power, the Chinese were harassed in many ways. They were denied the right to property. Confiscation and acquisition of their property was common, as was looting and pillaging; Chinese businessmen received “black bills” from Indonesian armed groups demanding huge sums. In 1945, there was extensive looting of Chinese and Eurasians; several hundred Chinese were killed. Twang Peck Yang (author of “The Chinese Business Elite in Indonesia and the Transition to Independence 1940-1950” 1998) explains that the Indonesian government opted for a socialist economy after independence because the ruling Indonesians realized that they “would probably lose to the Chinese in a free market economy” while “they could prosper in a controlled economy where large businesses were administered by the Indonesian government. In this way the Indonesians who had political power were able to appoint their own friends and relations and exclude the Chinese. ‘Thus, from 1945 onwards a controlled economy was introduced in which large businesses were administered by the government while many Chinese businesses were destroyed and their business opportunities taken over, the Indonesian business class consolidated its position in domestic trade with the help of the state’ (Twang, 1998, p.163). Between 1945 and 1949, harassment of the Chinese increased, and a number of them left for Singapore. In 1965, widespread attacks on the Chinese left half a million dead and prompted tens of thousands to flee the country. There were further attacks on the Chinese in 1974 and 1998.
Candidates taking university entrance examinations in Indonesia were required to give their ethnic identity. To prevent the Chinese from trying to pass themselves off as indigenous Indonesians, “observers were instructed to examine their physical characteristics in order to confirm their racial self-identification” (Klitgaard, 1986, p. 121). The result of this discriminatory procedure was that a number of ethnic Chinese were rejected, while indigenous Indonesians with lower scores than the Chinese were admitted. Indonesia’s political elite operated a controlled economy to promote its own advantage during the second half of the 20th century. In 1999, it was observed that “the Indonesian regulatory environment is characterized by bribery and other types of corruption. Many regulations are applied arbitrarily, and payments may be required to obtain ‘waivers’ from government regulation” (Johnson, Holmes, and Kirkpatrick 1999, p. 218). In a similar vein, the U.S. Department of Commerce (1998) reported that in the 1990s, “Indonesia continued to be a difficult place to do business; corruption is rife. The Chinese have fared much better economically in Indonesia than the indigenous peoples. How can this be explained? This question has often been asked. Perhaps Linda Lim (1997, 288) hint at the answer when they write “The Chinese are the best endowed and most competitive members of the private sector.” What do they mean by best endowed? Is it possible that they suspect that the Chinese may be smarter than the Indonesians? If they harbor this suspicion, they have not developed it.

Cambodia gained independence in 1947. At that time, there was a Chinese minority that comprised 4% of the population. Nevertheless, “in the cities, retail trade is dominated by the Chinese, as are catering, hotels, export, import, and light manufacturing, including food processing, beverages, printing and machine shops; as much as 95% of the commercial class is Chinese; the wealthiest and most educated men during this period were Chinese (Pan, 1998, p. 146).

In Malaysia, just like in Indonesia, the high intelligence of the Chinese created resentment in the majority population. Quotas were established in 1980 by the Malaysian government to limit the massive over-representation of the Chinese in universities. A differential grading policy (!) was put in place. The Chinese and the Malays were thus graded separately in order to equalize the results of the two groups. Many Chinese went to study in Singapore, Australia or England. The Malaysian government also imposed that 4/5 of public sector jobs be reserved for Malays.

In the Philippines, the first Chinese immigrants arrived around 1570. They quickly dominated economically. “The Chinese established new occupations and services, in addition to establishing a significant trade between China and the Philippines. They managed most of the trade, services and intellectual occupations, quickly establishing a monopoly. The entire Spanish colony was economically dependent on the Chinese” (Wickberg, 1997, p.155). Manila’s Chinatown became “the business center of the entire city” (Wickberg, 1997, p. 159). In the second half of the 19th century, “the Spanish decided to make their colony in the Philippines profitable. One of the key measures was the unrestricted immigration of hard-working Chinese” (Wickberg, 1997). It also created a population of Filipino-Chinese hybrids who performed significantly better than the native Filipinos and formed, along with the pure Chinese, the elite. After independence in 1946, the government took steps to restrict the economic dominance of the Chinese (who owned 55% of the businesses while representing only 1.3% of the population) in order to give Filipinos more opportunities. Many Chinese migrants had not acquired citizenship, and the government restricted employment in many sectors to nationals only. The Chinese then moved into wholesale trade, light manufacturing, and financial services. They quickly dominated these sectors and “became more prosperous than ever” (Wickberg, 1997, p. 168). Edgar Wickberg, a leading scholar of the Philippines, wrote that “the Han Chinese outperformed the Filipinos in virtually every field.” Why? He offers no suggestions…

In Thailand, the Chinese represented 12% of the population in 1990. A community of Chinese traders has been present in Thailand since the 14th century. In Bangkok, the Chinese were the pioneers of the first publishing and press houses and cinemas. In 1987, a study was made of the 70 largest Thai companies. 67 were run by Chinese and only 3 by Thais. At the beginning of the 20th century, the Chinese owned the main banks and “the king used Chinese capital and know-how to set up businesses”. In 1927, the Thai King Prajadhipok wrote a pamphlet entitled “Democracy in Siam” which examined the advantages and disadvantages of introducing democracy. He first argued that the Chinese were more successful than the Thais in business: “there are many reasons why the Chinese are able to make money more quickly than other people; According to Chinese thought, money is the beginning and end of all good. The Chinese seem to want to do everything for money” (Reid, 1997, p. 5-6). He went on to argue that if democracy were introduced, the Chinese would inevitably take control of the country by applying the same motivations and skills that have made them dominant in business, and the parliament would be completely dominated by the Chinese. Even if the Chinese were excluded from all political rights, they would still dominate since they have the money. Any party that tried not to depend on Chinese funds could not succeed, so politics in Siam would be dominated and dictated by Chinese merchants (Tejapira, 1997, p. 80). He concluded that the best course was to keep political and military control of the country in Thai hands. As two American sociologists write, “the Chinese have been prosperous in Thailand for centuries” (Hamilton and Waters, 1997). As we have seen, throughout Southeast Asia the indigenous people realized that they could not compete with the Chinese in a free society. Southeast Asians solved the problem by dictatorships or authoritarian regimes giving privileges to the indigenous people and discriminating against the Chinese. We have seen that this was the case in Indonesia, Malaysia and the Philippines. It was also the case in Thailand where, during the second half of the 20th century, the Chinese were banned from the officers of the armed forces and had reduced voting rights and political candidacy rights (Tejapira, 1997).

The high achievement of East Asians throughout East Asia should not surprise us. It is identical to the high socio-economic and educational achievements of East Asians in Europe, the USA, Canada, Brazil or Australia.

Conclusion

Whatever the multiracial country in the world, the hierarchy remains remarkably unchanged (Africa, Australia, Brazil, England, Canada, Caribbean, Hawaii, Latin America, Holland, New Zealand, Southeast Asia). Social sedimentation is dictated by intelligence. IQ is a physiological parameter essentially dictated by genes.

All data are available in The Global Bell Curve, 2009, Richard Lynn, Washington Summit Publishers.

Lynn The_Global_Bell_Curve