Now, what could be quibbled with is who is actually an expert. Having a lot of money and having founded a successful tech company 25 years ago does not make you an expert at everything.
Now, what could be quibbled with is who is actually an expert. Having a lot of money and having founded a successful tech company 25 years ago does not make you an expert at everything.
I like to say that, too, but it's not technically true. It's confusing median with mean.
Human intelligence (usually IQ) is not something that can be measured in a vacuum, so it is generally measured in comparison to the whole. So scores are adjusted on a bell curve such that the mean and median score are the same. For IQ that is 100.
So in the case of measuring intelligence, mean always equals median.
But if we were talking about income, then of course you would be right. Way more than half of the world is below the average income.
Not necessary
In a perfect world, exactly half of a population will be (equal to or) below any average when frequency is a normal distribution. Like IQ scores. So when they say "half of the population is below average [IQ]", it's not complete nonsense.
While that is a very vaguely defined term which is hard to measure accurately, it seem likely that it does not follow a normal distribution but is rather has a bulge at the lower end and have a long tail at the upper end. If this hand-wavey distribution is accepted, that would likely mean that fewer than half are above average. But again, that is contingent on the distribution and not a necessary truth.
> the median is the value separating the higher half from the lower half of a data sample, a population, or a probability distribution