India will overtake China in 7 years 2963
India will continue to be marred by political instability in the future , It's population does not have the savvy to elect a honest government.
India will overtake China in 7 years 2964
Go read the research yourself, it's well validated and peer reviewed. The stat's is as sound as you are going to get and if you bother to dig a...
Employement Agreement issue 2969
These respondents do not know prevalent business practices among bodyshops. 12 months is a std time which the bodyshop expects mainpower to...
The few Intelligent Indians out their will be out bred by the much lager populous of stupid people .
The central thesis of IQ and the Wealth of Nations is that the average IQ of a nation correlates with its GDP. Above is a scatterplot with Lynn and Vanhanen's IQ figures and estimates” (explained below) plotted against 2004 per capita GDP (PPP), as reported by the IMF.“ Similar diagrams appear in the book.The book includes the authors' estimates of average IQ scores for each country, based on their analysis of published reports; their argument that national gross domestic product per capita is correlated with IQ; and their conclusion that the IQ differences correlated with income differences by a factor of about 0.7, meaning that IQ explains more than half of the variation in per capita GDP.
India will overtake China in 7 years 2965
IQ and the Wealth of Nations...was not peer-reviewed....its viewed as highly critical,and its been dubbed as stupid research and waste of time...the theory...
In several cases, actual GDP did not correspond with that predicted by IQ. In these cases, the authors argued that differences in GDP were caused by differences in natural resources and whether the nation used a "planned" or "market" economy.
One example of this was Qatar, whose IQ was estimated by Lynn and Vanhanen to be about 78, yet had a disproportionately high per capita GDP of roughly USD $17,000. The authors explain Qatar's disproportionately high GDP by its high petroleum resources. Similarly, the authors think that large resources of diamonds explain the economic growth of the African nation Botswana, the fastest in the world for several decades.
The authors argued that the People's Republic of China's per capita GDP of roughly USD $4,500 could be explained by its use of a communist economic system for much of its recent history. The authors also predicted that communist nations who they believe have comparatively higher IQs, including the PRC, Vietnam, and North Korea, can be expected to gain GDP by moving from centrally-planned to market economic systems, while predicting continued poverty for African nations. Recent trends in the economy of the People's Republic of China seem to confirm this prediction, as China's GDP has quadrupled since market reforms in 1978.
The authors stated that they believe IQ is due to both genetic and environmental factors. They also stated that low GDP can cause low IQ, just as low IQ can cause low GDP. (See: Positive feedback)
The authors argued that it is the ethical responsibility of rich, high-IQ nations to financially buttist poor, low-IQ nations, as it is the responsibility of rich citizens to buttist the poor.
The book was cited several times in the popular press, notably the British conservative newspaper The Times. Because Tatu Vanhanen is the father of Matti Vanhanen, the Finnish Prime minister, his work has received wide publicity in Finland.
edit National IQ estimates Central to the book's thesis is a tabulation of what Lynn and Vanhanen believe to be the average IQs of the world's nations. Rather than do their own IQ studies (a potentially mbuttive project), the authors average and adjust existing studies.
India's growing role behind Hollywood scenes
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For most of the 185 nations, no reliable studies are available. In those cases, the authors have used an estimated value by taking averages of the IQs of surrounding nations. For example, the authors arrived at a figure of 84 for El Salvador by averaging their calculations of 79 for Guatemala and 88 for Colombia. Those estimates are not included in the calculations of income differences and do not appear in the table below.
Several cases merit specific attention. To obtain a figure for South Africa, the authors averaged IQ studies done on different ethnic groups, resulting in a figure of 72. The figures for Colombia, Peru and Singapore were arrived at in a similar manner. For People's Republic of China, the authors used a figure of 109.4 for Shanghai and adjusted it down by an arbitrary 6 points because they believed the average across China's rural areas was probably less than that in Shanghai. Another figure from a study done in Beijing was not adjusted downwards. Those two studies formed the resultant score for China (PRC).
To account for the Flynn effect (an increase in IQ scores over time), the authors sometimes adjusted the results of older studies upward by an arbitrary number of points. Because of these arbitrary adjustments and the fact that only limited data were available for most nations, the figures should be considered estimates and can reasonably be expected to vary by several points in either direction.
Country IQ estimate Country IQ estimate Country IQ estimate Hong Kong (PRC) 107 Russia 96 Fiji 84 South Korea 106 Slovakia 96 Iran 84 Japan 105 Uruguay 96 Marshall Islands 84 Taiwan (ROC) 104 Portugal 95 Puerto Rico (US) 84 Singapore 103 Slovenia 95 Egypt 83 Austria 102 Israel 94 India 81 Germany 102 Romania 94 Ecuador 80 Italy 102 Bulgaria 93 Guatemala 79 Netherlands 102 Ireland 93 Barbados 78 Sweden 101 Greece 92 Nepal 78 Switzerland 101 Malaysia 92 Qatar 78 Belgium 100 Thailand 91 Zambia 77 China (PRC) 100 Croatia 90 Congo-Brazzaville 73 New Zealand 100 Peru 90 Uganda 73 United Kingdom 100 Turkey 90 Jamaica 72 Hungary 99 Indonesia 89 Kenya 72 Poland 99 Suriname 89 South Africa 72 Australia 98 Colombia 89 Sudan 72 Denmark 98 Brazil 87 Tanzania 72 France 98 Iraq 87 Ghana 71 Norway 98 Mexico 87 Nigeria 67 United States 98 Samoa 87 Guinea 66 Canada 97 Tonga 87 Zimbabwe 66 Czech Republic 97 Lebanon 86 Congo-Kinshasa 65 Finland 97 Philippines 86 Sierra Leone 64 Spain 97 Cuba 85 Ethiopia 63 Argentina 96 Morocco 85 Equatorial Guinea 59 edit Peer-reviewed papers using IQ scores from the book The results were not peer-reviewed.
A review of the book in Contemporary Psychology (49 (4). pp389-395. Barnett, Susan M.; Williams, Wendy) stated: "In sum, we see an edifice built on layer upon layer of arbitrary buttumptions and selective data manipulation. The data on which the entire book is based are of questionably validity and are used in ways that cannot be justified."
The book is sharply criticized in a peer-reviewed paper The Impact of National IQ on Income and Growth 1. Although critical of the IQ data, for the sake of argument the paper buttumes that the data is correct but then criticizes the statistical methods used, finding no effect on growth or income.
Employement Agreement issue 2970
snip.. File a complaint with DOL against company A for H1-B visa fraud and...
Another peer-reviewed paper with the same buttumption, Intelligence, Human Capital, and Economic Growth: An Extreme-Bounds Analysis 2, finds a strong connection between intelligence and economic growth, although the paper makes no explicit claim that IQ explains most of the difference in growth between nations.
In a reanalysis of the Lynn and Vanhanen's hypothesis, privateserson (in press) finds that IQ and GDP data is best fitted by an exponential function, with IQ explaining approximately 70% of the variation in GDP. privateserson concludes that as a rough approximation "an increase of 10 points in mean IQ results in a doubling of the per capita GDP."
Voracek (2004) used the national IQ data to examine the relationship between intelligence and dissolution, finding national IQ was positively correlated with national male and female dissolution rates. The effect was not attenuated by controlling for GDP.
Barber (2005) found that national IQ was buttociated with rates of secondary education enrollment, illiteracy, and agricultural employment. The effect on illiteracy and agricultural employment remained with national wealth, infant mortality, and geographic continent controlled.
Both Lynn and Rushton have suggested that high IQ is buttociated with colder climates. To test this hypothesis, Templer and Arikawa (in press doi:10.1016-j.intell.2005.04.002; see discussion 3) compare the national IQ data from Lynn and Vanhanen with data sets that describe national average skin color and average winter and summer temperatures. They find that the strongest correlations to national IQ were -0.92 for skin color and -0.76 for average high winter temperature. They interpret this finding as strong support for IQ-climate buttociation. Other studies using different data sets find no correlation