So here is an article directly countering the OP and arguing against the hypocrisy and intellectual dishonesty of the "acting white is a myth" proponents.
There appears to be no consensus that it is a myth. There is legit and widespread disagreement about it among relevant researchers (and if it matters, primarily black researchers arguing both sides).
Basically, the problem is really the general problem of ethnographic studies and sociology, which is inherently weak methods that do not allow strong inferences or a direct test of hypotheses either way. The OP article attacks the "anecdotal" nature of the evidence, which is actually ethnographic research using methods at or above what is pervasive in such fields. So, to reject the data as meaningless is to reject most of sociology, anthropology, and ethnographic studies (methods that the "mythers" rely almost exclusively upon to support theories they do want to believe in).
The Slate article points out that while attacking the quality of data in favor of the hypothesis, the "mythers" then rely upon their own data that is at least if not more weak, such as kids' self-reports made to researchers on how much they value education.
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The OP article also dismisses a study showing racial differences in the GPA - popularity relationship. The OP article claims:
Like the rhetoric of clever dishonest salemen and politicians, what they say is technically true, but intended to mislead by deliberate omission of other critical information that impact interpretation.
Here is the actual full results:
First, notice the drop in popularity among blacks with the highest GPA. The OP article conveniently does not point this out, and instead focusses only on the comparisons that it claims don't fit a "acting white" theory. More importantly, the meaningful interpretation requires comparing the patterns for whites and blacks (which the OP ignores). The OP takes the common tactic of building a straw man hypothesis about what the data should look like from the theory it wants to "debunk". In this case, they wrongly claim that the "acting-white" theory requires there to be an overall negative correlation between GPA and popularity. This is only predicted by the assumption that "acting white" is a view held by all blacks and is the sole or most impactful factor in determining popularity, which is not what any proponents of the theory claim. There are many things that impact popularity, GPA could be one, and it might also indirectly related to other factors that drive popularity, such as wealth (which would include having a car, trend-conforming/setting clothes, etc..). The acting white theory does not deny any of these other factors, and since all direct and indirect factors combine to determine a simple single correlation, the theory does not require an overall negative correlation. Instead, if a bunch of things positively related to GPA improve popularity, but then the "acting white" beliefs among some blacks works in the other direction for blacks but not for whites, then the expected result would be similar to what we see. GPA and indirectly related things all work together for whites to create a strong and consistent positive relation between GPA an popularity. However, for blacks GPA has opposing direct and indirect effects so the relationship is very weak and is inconsistent (goes slightly up then down again).
IOW, the data is highly consistent with a more plausible non-straw version of the "acting-white" theory. Sure, it isn't "proof", because their are other theories that could account for the pattern too. For example, maybe blacks value good grades and reward them just as much as whites, but they do not value the other things correlated with grades like wealth, good clothes, and a car. Its a matter of relative plausibility among the various models that could account for the pattern. But hypocritically, those who will jump on the limits of the data in order to discount the "acting white" theory, are the first to offer us far weaker social science methods as supposed proof of their preferred theories on racism. When anyone points to the weaknesses in those data, they are attacked as having an "anything but racism" bias, or their detailed analyses blindly dismissed as "something something stats".