The "The Dunning-Kruger Effect is Autocorrelation" article is an example of obvious bullshit.
Their claim that "If we have been working with random numbers, how could we possibly have replicated the Dunning-Kruger effect?" is the first blatantly false statement, and then the rest is built upon that so it can be safely disregarded.
It's easy to see this because while the effect is present if everyone evaluates themselves randomly, it's not present if everyone accurately evaluates themselves, and these are both clearly possible states of the world a priori, so it's a testable hypothesis about the real world, contrary to the bizarre claim in the paper.
Also, the knowledge that the authors published that article provides evidence for the Dunning-Kruger effect being stronger than one would otherwise believe.
Your comment amounts to saying that some of the randomly generated data really is consistently over estimating it's performance. How absurd.
Like similar analyses here you don't factor in that DK is about bias. Of course you can't see bias when test score=self assessment. That's because "IF everyone perfectly knows their score then there is no bias in their assessment" is a tautology.
Their claim that "If we have been working with random numbers, how could we possibly have replicated the Dunning-Kruger effect?" is the first blatantly false statement, and then the rest is built upon that so it can be safely disregarded.
It's easy to see this because while the effect is present if everyone evaluates themselves randomly, it's not present if everyone accurately evaluates themselves, and these are both clearly possible states of the world a priori, so it's a testable hypothesis about the real world, contrary to the bizarre claim in the paper.
Also, the knowledge that the authors published that article provides evidence for the Dunning-Kruger effect being stronger than one would otherwise believe.