Dunning-Kruger

I mean in their code the simulation is incorrect. Someone found the source: https://github.com/pem725/Dunning-Kruger They're sampling slope and bias for the line from U[0,1] and U[0,100], the expected values of which will be 0.5 and 50. That's why they get what they get. They say that randomness is any positively sloped line with any positive bias. So they assume dependence, just a very high variance of it. It's incorrect as they miss the negative half of the parameters - it would then correctly yield zeroes, for the presumed independence.

Huh? The point is that the two graphs come out looking the same, making the original no more meaningful than random. Source code is here: https://github.com/pem725/Dunning-Kruger (found here: https://pem725.github.io)