Misinformation and disinformation in statistical methodology for social sciences: causes, consequences and remedies

The present is an introductory summary on the topic of misinformative and fraudolent statistical inferences, in light recent attempts to reform social sciences. manuscript focused concept replicability, that likelihood a scientific result be reached by two independent sources. Replication studies are often ignored most interest regards papers presenting theoretical novelties. As result, replicability happens uncorrelated with bibliometric performances. These reflect only popularity theory, but not its validity. topics illustrated via case very popular theories. Statistical errors bad practices discussed. consequences practice omitting inconclusive results from paper, or 'p-hacking', Among remedies, preregistration presented, along peer review through it. tool measure sensitivity theory misinformation disinformation, multiversal methods