Not all of the genes are known, but there is growing base of knowledge of positive and negative genes for intelligence. We are getting a growing ability to successfully shift the odds of desired genetic results across populations. There is not really genetic determinism but genetics affecting the likelihood of good or bad results.
Proper Training is very important to take advantage of genetic abilities.
Deliberate practice entails more than simply repeating a task — playing a C-minor scale 100 times, for instance, or hitting tennis serves until your shoulder pops out of its socket. Rather, it involves setting specific goals, obtaining immediate feedback and concentrating as much on technique as on outcome.
Their work, compiled in the “Cambridge Handbook of Expertise and Expert Performance,” a 900-page academic book makes a rather startling assertion: the trait we commonly call talent is highly overrated. Or, put another way, expert performers — whether in memory or surgery, ballet or computer programming — are nearly always made, not born.
The odds can be shifted.
It is like poker. For cards it is like picking starting hands based on seeing 2 out of seven cards (selecting based on known information the starting embryo) and then also being given 1 redraw (genetic engineering after birth)
Also, with epigenetic control or RNA interference one could inactivate one or two of the cards that is known to be bad. You keep skewing things towards superior hands.
The more we know then the more we can shift the results and increase the odds and the occurrence of high intelligence.
If we reduce by 50% of those with IQ below 100 and double those with IQ above 150.
then the percentage of people who were effected by the procedures has 3 times the percentage occurrence of people with IQ above 150.
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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