Billionares probably give bad advice
Why?
Because in scenarios where you make decisions that have a combination of changes to variance and changes to mean, selecting for the highest value (and maximizing the odds of passing an arbitrary threshold), sometimes increasing variance increases your odds of being in the top bracket more than increases in mean. Specifically, for a given threshold over the mean, increasing variance means increases in the chance to pass it, and similarly for skewness. This occurs for both absolute, and compared to a proportion drawn from a fixed distribution (which is statistically similar to an absolute threshhold).
Buisness hypersuccess has as much to do with doing high variance things as it does with doing high-EV things
This checks out with annecdotal evidence from things like Forbes top 200 by wealth, (most have concentrated holdings and are CEOs in high variance industries) and other measures of things like elite athletes.
(Probably comes from things like the tails separating).
I could work out the precise sizes of these effects for gaussians.
Maximize EV is probably a skewed distribution. But maximize skewness+variance+EV is lower EV than maximize EV for almost certain.