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Notes -
The Dunning-Kruger effect is autocorrelation
Huh. I can only apologize for the relatively bare link, but I feel like it's worth drawing attention to something so widely accepted yet utterly worthless, especially when it comes up so often here.
The thing about the DK effect is that it makes intuitive sense. To extend it past the realm of typical human intelligence, an ant or a chimp isn't very good at knowing how dumb they are because they're not very good at most things. However, I suspect that the average dumb (human) person does know they're a bit dim, so it confuses me how this finding can even arise.
Is it possible to salvage a non-trivial version of the DKE? The one we know and once loved literally works for random data, so that's right out. In other words, what's the cut-off where a stupid person becomes smart enough to know they're stupid, or at least worse than their peers?*
*In a more general sense than a chimp knowing he's not as strong or big as the alpha male.
Pending a detailed read of Nufher et al. and Gignac & Zajenkowski, this appears as one of three -- either the blogpost is simply wrong; or I have a misundertanding of the Dunning-Kruger effect; or the author has done a really shit job at explaining himself. Either way, I'm not convinced so far.
My understanding of the DKE is that self-assessment is poorly correlated with objective ability in such a way that poor performers overrate their performance and good performers underate theirs. In this case, the lack of correlation in Fig. 7 from y being a variable with a uniform distribution uncorrelated with x already shows the effect! I'm not sure how the author is so sure that plotting uncorrelated variables and "showing" the DKE disproves it, as the entire point is that they're poorly-to-uncorrelated!
If my understanding of the Dunning-Kruger effect is right, I suspect the author may be right to some degree (just based on personal experience, I think DKE is extremely oversold, and even if true is unlikely to be very important), but his working is definitely wrong.
I think the point was something else. Imagine another test where people threw a dice and then they estimated what their dice throw was. Of course people who threw 6 could only underestimate or be correct and people who threw 1 could only be correct or overestimate.
So even if both the result and estimation was random, then you would reproduce Duning-Kruger effect due to autocorrelation. Result of “over/underestimation” is dependent and correlated to the measure you over/underestimate against which is also a variable. The correct answer is just that this is stupid statistical artefact.
Kinky.
Avoid low-effort posts, please.
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