Increasingly irritated by the pattern: data + shoddy analysis => conclusion X => viral spread by people who like conclusion X, and who don't care whether the study was sound or not.
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This is (a) impossible to avoid by individual action, since it's a collective effect, controlling what we see; and (b) it actually generates _demand_ for (and a livelihood for) people doing the shoddy studies.
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It's also impossible to avoid on the authorial side. You can be as careful as you like with the study and caveats, and yet it's likely to end up being shared a lot by people who like your conclusions, independent of those caveats.
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I expect this rule wouldn't work as well as you think, because it's often possible to see how a study would be biased given its methodology.
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It was a joke. It'd work exactly as well as I think (i.e., it wouldn't work, as indicated by my use of "Tongue-in-cheek"). Though I do think this is an interesting set of questions to think about.
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A version of this would be great for politics. You have to pre-register the tweet based on the policy and you can't change it based on who's proposing it
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i just got chills
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There does seem to be a twitter epidemic of people posting graphics of results without links to the methodology.
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Tongue-in-cheek rule: you can only see the result of a study when you've first approved or disapproved the methodology. The result is then approvingly tweeted by you, no matter what the result was.