Why should we assume that intelligence in the total population is Gaussian distributed, even if you assume that you can measure 'intelligence'? A Gaussian distribution of a metric emerges solely for the reason that there is nothing else influencing the out come of the variables (no one way boundary transition conditions) and as a result, there is just a random, scattered cloud of noise around where the values are. Pareto distributions emerge when there's an influencing factor which forces a change (businesses collocating next to each other to reduce costs, people buying things from people/businesses they know) Given that there are are events/phenomenon that will clearly break independence of an intelligence result (child suffers head trauma, exposure to chemicals while in the womb, Malnutrition) I remain skeptical that 'intelligence' is Gaussian distributed.