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When I was on the editorial board of 'Intelligence', I think we were pretty good at quality control for publishing papers. Small niche journals with smart experts in a domain with a strong track record of empirical results tend to be pretty good at spotting nonsense.
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I think most respectable journals meet that bar. Which those are though depends on the area. One problem for outsiders is there's so many low-quality journals it's hard to tell the good from the bad. Really, you need an area expert.
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Depends on the field. In economics you can be sure that such failures don't occur in most top 5 journals. Especially Econometrica has high standards. But a field like medicine or psychology has no such journals afaik
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Referees at good journals should recommend to reject papers that have bad methods and hopefully they won't get published. You can check whether a journal is good roughly by how much its articles are cited.
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The review process in almost all *decent* journals will spot obvious statistical failures. But clearing this bar does not guarantee in any way that the study is "actually good", nor protects against fabricated data, etc.
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For natural/life sciences, usually the higher-IF *field-specific* journals are more reliable. E.g. in chemistry, I find JACS or an ACS sub-journal to be more reliable than Science/Nature and than MDPI and their ilk. Cell Systems more than Cell etc.
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