That’s an extraordinary gain and demonstrates what is happening in the Ivy League colleges that have a disproportionate impact in many institutions. While the average IQ of all college graduates in the country has barely changed (from 111 to 113), the average IQ of Ivy League college graduates has increased from 120 to 142 – close to the 3 sigma level. That’s not that different.īut if we wind forward to 1990 you see a very different picture. The average IQ of Ivy League colleges was 120. ![]() First, going back to 1930 (translating back from standard deviations to IQ scores!) you can see that the average IQ of all college graduates was 111. Take a look at this data on college students. This is the level of Ivy League cognitive elites. In a high school of 1000 students, only 1 student may have IQs of this level. This level of performance puts you at a national and international level of competitiveness.įor intelligence ( g ), this is an IQ of 145 or higher. If you have a pre-training IQ of between 115 and 125, the 2 sigma level of 130 (Mensa level) is an ideal target to train for. IQ Mindware brain training recommendation In terms of the Smart Fraction Theory, 130 is the asymptote level: If the average IQ of a society was 130, per capita GDPs will level off, allowing GDPs of less bright nations to catch up ( 5 ). This is like a 1 in 50 level of cognitive ability: if there are 50 students in a class, 1 of them may be at this ‘top of the class’ level. This is Mensa standard.To become a Mensan, you need to demonstrate you have an IQ in the top two per cent – the 98th percentile. For any kind of performance-based skill, this a level of ability that is associated with having a strong reputation.įor IQ, this is a level of 130 or more. This puts you in the state / county level for sport. This is a benchmark for becoming really exceptional. If you have a pre-training IQ below 115, the 1 sigma level of 115 (Smart Fraction level) is an ideal target to train for. So what is this smart fraction threshold?Īccording to the data, a 1 sigma IQ level of 115 places someone just above the threshold ( 5 ). Others have argued for the impact of the smart fraction on media, music, literature, art, philosophy and world-views ( 4 ). The cognitive ability of the smart fraction of any country makes by far the biggest contribution to the strength of that country’s economy, and predicts the quality of economic and political institutions. “IQ is relevant for technological progress, for innovation, for leading a nation, for leading organizations, as entrepreneurs, and so on…I think in the modern economy, human capital and cognitive ability are more important than economic freedom.” Dr Rinderman General intelligence ( g ) is a robust predictor of economic growth and productivity across a large sample of countries. ![]() The Smart Fraction Theory ( 4 ) tells us that national wealth is determined by the fraction of workers with an IQ equal to or greater than some minimum threshold. This is the 1 sigma definition of being exceptional. If you are in the top 16% of those in your sports league, you are a good player. In other areas, if you are in the top 16% of earners, you have a high income. An IQ above 115 is considered to be a high IQ – a level up from ‘above average IQ’. If you have an IQ of 115 (1 sigma) or above you are capable of the cognitive demands of almost any profession, and can attain the highest levels of education and training. If you are more than 1 sigma from the average in the population this puts you above 84% of the population in the top 16%. The 123 Sigma Rule provides 3 benchmarks we can work with, each of which has an intuitive, easy to use interpretation in real life. For the example of IQ, 68% of the population has an IQ between 85 and 115, and 95% of the population is between an IQ of 70 and 130. The 68-95-99.7 rule tells us that 68% of the population is between -1 and +1 sigma from the average 95% is between -2 and +2 sigma from the average and 99.7% is between -3 and +3 sigma from the average. The actual value of 1 sigma will depend on the test being used. The sigma metric is a measure of the spread of a ‘normal’ (bell shaped) distribution of some ability or property in a population – such as reaction time, income or IQ. The 123 Sigma rule extends the well-known 68-95-99.7 rule which can explained as follows:: Applying this rule helps you set up your expectations for training. ![]() FRANK WILCZEK, Nobel Prize Winner & Professor of Physics at MIT.
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