You’re not quoting the overlap, you’re quoting the (IMO) misleading framing that compares extremes. If you look at the picture, roughly one third of the distrib

You’re not quoting the overlap, you’re quoting the (IMO) misleading framing that compares extremes. If you look at the picture, roughly one third of the distribution has overlap. It’s not a majority, but it’s certainly not negligible either. BTW, the 0.1% number may be sampling noise, as similar studies have come up with numbers like 1% or 3%. While they’re all small, 3% is 30x larger than 0.1%. Don’t put a lot of stock in that number; it’s trying to draw conclusions from the noisiest lowest-data part of the distribution, and therefore is highly prone to error.