IQ scores are normalised for a mean of 100 and standard deviation of 15 (Weschler). – 1 in 270 have an IQ score over 140. If the standard deviation is 16 SD (Stanford-Binet) then genius would be 1/161) If a country had a mean of 107.5 then it has shifted by a half of a standard deviation to the right and scores over 140 would happen 1 in 61 times.
The movie Social network had a quote at the beginning.
Did you know there are more people with genius IQs living in China than there are people of any kind living in the United States?
Even with a mean score of 105, China would have 1 in 102 geniuses. 1.34 billion people would mean 13.4 million geniuses. China has 4.3 times the population of the USA. 11 IQ points over the mean is a rarity of 4.3. A mean national IQ of 129 is needed to have 1 in 4.3 people be a genius.
About 200-400 people out of 1.5 million annual test takers get perfect SAT scores.
The purpose of Richard Lynn book (The Global Bell Curve: Race, IQ, and Inequality Worldwide) is to discuss the controversial topic of race and intelligence. It follows Lynn’s 2006 book Race Differences in Intelligence.
* East Asian (Chinese, Japanese, Koreans) (Average IQ of 105)
* Europeans (Average IQ 100)
* South East Asians (Average IQ 87)
* North African (Average IQ of 84)
* Africans (Average IQ of 67–80)
* Australian Aborigines (Average IQ of 62)
Click on an image of a table to get the larger view
New national IQs are presented for 25 countries and revised national IQs for 16 countries. Numerous cultural, biological, economic, political and medical correlates of country-level intelligence have been demonstrated in previous studies. It is recommended that the new and updated IQs presented in this paper should be used as the best estimates of the average IQs for these countries by scholars investigating these correlates.
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
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