Six more retractions: JAMA, or Acta Retracta?
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Six more retractions: JAMA, or Acta Retracta?
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In an interview on NPR several weeks ago a researcher criticized data dredging, although I don't recall whether he pointed specifically to Wansink.
I'm wondering whether it's a mistake to disregard apparent patterns in data. Sure, it's a mistake to publish findings representing these as statistically significant or indicative of anything that might influence people's health choices.
But the fellow in the interview sounded a bit zealous, as if it were a sin against science to even consider data dredging to look for issues that might merit further study. He sounded a bit like those psychologists who say we're overwhelmed by consumer choices, so we're better off with fewer choices. No, thanks, I'm capable of choosing what I need, want or like without false monopolies being presented as some sort of neo-consumerist advocacy.
I'm wondering whether it's a mistake to disregard apparent patterns in data. Sure, it's a mistake to publish findings representing these as statistically significant or indicative of anything that might influence people's health choices.
But the fellow in the interview sounded a bit zealous, as if it were a sin against science to even consider data dredging to look for issues that might merit further study. He sounded a bit like those psychologists who say we're overwhelmed by consumer choices, so we're better off with fewer choices. No, thanks, I'm capable of choosing what I need, want or like without false monopolies being presented as some sort of neo-consumerist advocacy.
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The problem is expectation bias vs. statistical noise.
Some apparent correlations really are meaningless.
Some apparent correlations really are meaningless.
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I know this is a joke, but the graph doesn't go to zero. Plotted on a full scale axis the dip in beef consumption looks a lot less meaningful. Plenty of steaks would still be consumed at 58lbs
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What if the relative rate of suicide by handgun per age group is constant, but more people are living longer because they eat ethically? Then the rise in suicide absolute numbers is a statistical artifact, due to people living longer because they didn't consume cow carcass.
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Non omnino gravis
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Here is possibly the most frightening part of the article:
So, this guy is a Prof. of Marketing and he is publishing nutritional and dietary statistical studies in JAMA?
Wansink released a statement to Buzzfeed saying: “I have been tremendously honored and blessed to be a Cornell professor and especially to be the first John S. Dyson Professor of Marketing at the Charles H. Dyson School of Applied Economics and Management.”
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What if the relative rate of suicide by handgun per age group is constant, but more people are living longer because they eat ethically? Then the rise in suicide absolute numbers is a statistical artifact, due to people living longer because they didn't consume cow carcass.
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So, the Autism "epidemic" has caused an uptick in organic food sales?
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I just got done giving a test (and trying to explain the results) where a whole lot of my students didn't understand that, when faced with data that doesn't support your hypothesis, you can't just make up a new hypothesis that fits your data perfectly and then go and publish that as is. You still need to test your new hypothesis (usually with new/different controls and possibly a new design) if for no other reason than to show your findings are reproducible (but also because you probably didn't control for all the right things perfectly when your first hypothesis was different).
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Wow, I didn't see that. No wonder he was trolling large datasets for deviations. Isn't that the whole point of directed micromarketing or whatever the hell it is that they call that stuff?
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I just got done giving a test (and trying to explain the results) where a whole lot of my students didn't understand that, when faced with data that doesn't support your hypothesis, you can't just make up a new hypothesis that fits your data perfectly and then go and publish that as is. You still need to test your new hypothesis (usually with new/different controls and possibly a new design) if for no other reason than to show your findings are reproducible (but also because you probably didn't control for all the right things perfectly when your first hypothesis was different).
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Yeah, that was supposed to be a joke.
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What if the relative rate of suicide by handgun per age group is constant, but more people are living longer because they eat ethically? Then the rise in suicide absolute numbers is a statistical artifact, due to people living longer because they didn't consume cow carcass.
#20
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I've heard the word gullible is not in any dictionary.
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In this thread, Internet Brands should be signing some kind of release with the "Journal of Irreproducible Results!"