I understand that you’re saying there are more incredible geniuses than full on removed.
However, IQ scores are a normal distribution with an arbitrarily defined mean of 100 and a standard deviation of 15.
So, IQ scores of 0 or 200 are both 6.6 standard deviations from the mean. If IQ is truly a normal distribution, you’d expect the number of people with IQ scores <= 0 and the number with scores >= 200 to be exactly the same, simply because this is how the scores are defined.
If you try to look up what proportion of the population falls outside 6.6 standard deviations, the z-tables don’t go out this far. It’s essentially 0% (0/100) but how many is it out of 8 billion?
I understand that you’re saying there are more incredible geniuses than full on removed.
However, IQ scores are a normal distribution with an arbitrarily defined mean of 100 and a standard deviation of 15.
So, IQ scores of 0 or 200 are both 6.6 standard deviations from the mean. If IQ is truly a normal distribution, you’d expect the number of people with IQ scores <= 0 and the number with scores >= 200 to be exactly the same, simply because this is how the scores are defined.
If you try to look up what proportion of the population falls outside 6.6 standard deviations, the z-tables don’t go out this far. It’s essentially 0% (0/100) but how many is it out of 8 billion?