Of course it doesn't.https://twitter.com/Slate/status/1048422659770470400 …
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Whether one accepts Ioannidis' estimate or not, it is definitely often. Also, bleeding edge top tier journals are more—not less—prone to this problem because they publish the most preliminary results, filtering for the most interesting or exciting ones. Most end up being wrong.
Scientists, of course, know this about the preliminary nature of a lot of published literature. Lay people tend not to understand this aspect of the scientific literature.
Yeah we used to joke the higher the impact factor the more likely it’s wrong.
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