Earlier quoted context omitted.
>A problem here is that there are fields of science that are almost certainly bogus in themselves. One very likely candidate is nutrition, which seems to be fumbling in the dark and has a long history of producing worse recommendations than doing nothing (e.g. replace fat with sugar). It's not the field that is bogus in that case. People were quite literally bribed to push this. This could happen anywhere, anytime, i…
That was just an example, but we can go into more detail - at every point, nutrition studies are highly questionable. Sample sizes are usually minuscule (you can find important studies with 5-10 subjects, and even the largest studies rarely have more than a few hundred), they are often biased samples (only overweight people, only people with heart disease or diabetes etc.), they often don't account for likely confoun…
I can't let go of “The Dunning-Kruger Effect is Autocorrelation”
231–240 of 308 posts
Re: I can't let go of “The Dunning-Kruger Effect is Autocorrelation”
#232In partial "defense" of the "autocorrelation" article, the author was in fact arguing against their own perceived definition of DK, not what most people consider to be DK. They just didn't realise it.
Which is an all too common thing to begin with. (that particular article pulled the same stunt with the definition of the word 'autocorrelation', after all).
Re: I can't let go of “The Dunning-Kruger Effect is Autocorrelation”
#233Earlier quoted context omitted.
Let's not forget though that a great deal of "science" is in fact trash[1]. The problem isn't really people being anti-science or pro-science. The problem is science being done poorly, whether by scientists in the credentialed sense, or amateurs. There is no pat "trust science more" or "trust amateurs less" answer here. The actual answer is that if you want to understand research, you need to actually understand math…
One way that journals could actually add value (a concept to which they seem resistant) would be to review the statistical analysis. Statistics is hard and easy to get subtley wrong, and is often an independent skill to the underlying science. If journals had statistics experts to critique the analysis techniques prior to publishing it would be a great improvement in the confidence in which we could read papers.
Plus, it would reduce the number of publishable papers quite substantially including from high profile authors/groups, so I don't think they want the fight. We should also remember that most journal editors are also involved in publishing this research — they often have no real incentives to make things awkward.
Re: I can't let go of “The Dunning-Kruger Effect is Autocorrelation”
#234Earlier quoted context omitted.
Let's not forget though that a great deal of "science" is in fact trash[1]. The problem isn't really people being anti-science or pro-science. The problem is science being done poorly, whether by scientists in the credentialed sense, or amateurs. There is no pat "trust science more" or "trust amateurs less" answer here. The actual answer is that if you want to understand research, you need to actually understand math…
Completely agreed. While I strongly believe in citizen science and people's right (and perhaps obligation) to critique established science, there is just so much poor analyses done by people to criticize some scientific findings they do not approve, motivated emotionally or otherwise. This phenomenon does not bring us closer to finding scientific facts or resolving the replication crisis. People should learn some bas…
Re: I can't let go of “The Dunning-Kruger Effect is Autocorrelation”
#235"The second option conforms with the Research Methods 101 rule-of-thumb “always assume independence.” Until proven otherwise, we should assume people have no ability to self-assess their performance" It's not that at all. The assumption should be that everyone is equally good (or bad) at assessing their performance. Not that they have no ability but that the means between groups is the same vs. not the same. That the…
This confused me at first too. The issue is that "X" is your performance, and "Y" is your perceived performance. Say that everyone is equally okay at assessing themselves, and get within 0.1 of their actual performance (rated from 0 to 1). Then X and Y are going to be very correlated, as X - 0.1 The only case where X and Y wouldn't correlate at all is if people have no ability to assess their performance (IE, Y isn't…
Re: I can't let go of “The Dunning-Kruger Effect is Autocorrelation”
#236Earlier quoted context omitted.
I could not quickly find the LSAT preparation guide but I found some LSAT sample questions [1] and they seem suitable to assess reasoning abilities. Also I do not think that it really matters which questions you choose as long as they span a wide enough difficulty range so that you are able to separate participants. [1] https://www.petersons.com/blog/sample-lsat-test-questions/
Hmm, do they? The logical reasoning test in that page is a question about lab rat studies on coffee+birth defects, and a hypothetical spokesperson's response that they wouldn't apply a warning label because the government would lose credibility if the study were to be refuted in future. You're then asked a multiple choice question: 1. Which of the following is most strongly suggested by the government’s statement abo…
Re: I can't let go of “The Dunning-Kruger Effect is Autocorrelation”
#237I can't believe nobody has pointed out that the original article debunking the DK effect is in fact an example of the effect. Truly poetic.
Tbh, I only ever hear people reference DK when they're trying to point out that they're "working with morons" (in their opinion, of course).
Re: I can't let go of “The Dunning-Kruger Effect is Autocorrelation”
#238> If you tell me you didn’t have a single serious thought of self-assessing today, even semi-conscious, I simply won’t believe you. I stopped reading at this point. Someone that is so certain that they say “I simply won’t believe you.” is too self-assured to be worth paying much attention to.
Re: I can't let go of “The Dunning-Kruger Effect is Autocorrelation”
#239Earlier quoted context omitted.
That's a nice spot about the decreasing CC as we increase accuracy! My hypothesis would be that some of the DK effect in the original paper may be down to an effect like this (as suggested in the original article) but that asserting it is completely incorrect because of it is premature. We'd need access to more data to verify that the level of reliability was sufficiently acceptable.
Right. Just to be clear, "an effect like this" is (comparatively) unreliable tests, not some elusive statistical phenomena as implied by the original article. I'd have no issue if the author had called the article "the DK effect is due to poor skill tests", spent 5 minutes showing that the DK results are consistent not only with their claims but also with unreliable tests (like you did), then went on to show data tha…
I've gone back and updated the colab notebook to use orderings exclusively instead of values and you can see that the auto correlation plot B from the first article exists when the noise is high enough but disappears when you reduce it, definitely not a statistical law.
Re: I can't let go of “The Dunning-Kruger Effect is Autocorrelation”
#240Gah, I wish I had time to fully read this and get into it, but I have to spend the next few hours driving. Unfortunately the original article isn't very clearly explained, and it's only on reading the discussion in the comments under it that it becomes clear what it's actually saying. The point is about signal & noise. Say your random variable X contains a signal component and a noise component, the former determinis…
Hey omnicognate, good to see you here, appreciated our previous discussion. What you're saying is that we need to verify the statistical reliability of the skill tests DK gave, and to some extent that we need to scrutinize the assumption that there indeed is such a thing as "skill" to be measured in the first place. I hope we can both agree that skill exists. That leaves the test reliability (technical term from stat…