By definition, 1 in 30,000 people will have an IQ of 160 or higher, which is simply 4 standard deviations above the mean.
By definition, 1 in 30,000 people will have an IQ of 160 or higher, which is simply 4 standard deviations above the mean.
Except in Software Engineering. One day you just realize, that some fucking dude can see the problem and its solution much better and faster. And you realize there is nothing you can do, except fake the comprehension and use fancy words.
It's in a sense the same way getting As in college tells you that they are a good student, but only correlates with other factors. Einstein was a B+ student in college but obviously wasn't a B+ physicist.
GD for General Dumbiness might be good, because it recognizes the subjectiveness of the measure.
They were in fact designed to avoid the testing problems arising from varying cultures, prior knowledge, etc...
This has been proven again and again to not be true. IQ is highly correlated with many measures of success, it absolutely mean something other than just your ability to score well on the test.
In reality -- if they were to take the take the test a few more times, they'd quickly regress (closer) to the mean -- at probably more like 2 deviations above the mean.
Just because the notion of IQ seems to have some validity and can be roughly applicable in some situations -- doesn't mean that it hasn't also morphed (by overuse, overly credulous belief in its fundamentals) into -- just another bullshit psychometric.
And an especially wobbly indicator of anything, especially at higher octaves.
They think Einsteins IQ was around 120, which they think is "Indeed very high!". An IQ of 120 is 10% of the general population. If you sort people, an IQ of 120 might be on the low end for some groups/teams.
If you put 1000 people in a room, you would expect to find 4 "geniuses" with IQ over 140.
They point to data that the average IQ in one Phd program had an average IQ of 140 "doesn't make sense".
In fact it is almost exactly what you would expect. 1% of americans get PhDs, 1% of americans have IQ over 135, so 140 is about what you would expect.
The way they approach IQ suggests they dont appreciate how a normal distribution works.
Questions that are tagged 160 are irrelevant because they norming group is WAYYY to small to say 1 in 30,000 people will get this correct. It's simply not possible to come up with such a question. They questions that get you 160 on IQ score are almost certainly questions that no one in the norming group got correct.
So no, there's zero proof that 1 in 30,000 people have an IQ of 160. There simply haven't been that many IQ test administered to the general population to determine that.