In Bland's discussion of regression to the mean, there are several sections which detail examples of regression to the mean, which I understand to be an unavoidable consequence of not taking the mean of several measurements per subject. In the section entitled Comparison of two methods of measurement, Bland notes research which compared measured weights with self-reported weights. The conclusions of the research were that overweight people tended to underreport their weight whereas underweight people tended to overreport their weight. Bland says this is expected due to regression to the mean.
From my understanding, this comparison paradigm is the same as that used to establish the Dunning-Kruger effect which states that those who are unskilled believe they are more skilled than they really are, and those who are highly skilled believe they are less skilled than they really are.
It seems that, if Bland is correct, the Dunning-Kruger effect is more a statistical artefact and not necessarily reality. I've had a cursory read of the papers in support of the Dunning-Kruger effect and it seems that they do indeed rely on a single measurement for both "instruments" (i.e. self-reported vs measured).
Am I missing something or is there actually strong evidence of the Dunning-Kruger effect which is robust with regard to regression to the mean?