How Should Scientific Journals Handle 'Big If True' Submissions?. Issue 2 (3rd April 2022)

• Record Type: Journal Article
• Authors: Gelman, Andrew
• Is Part Of: Chance. Volume 35:Issue 2(2022)
• Page Start: 41
• Page End: 43
• Publication Date: 2022-04-03
• Subjects: Statistics -- Periodicals; Mathematical statistics -- Periodicals; Mathematical statistics -- Data processing -- Periodicals; Probablities -- Periodicals; 519.205
• DOI: 10.1080/09332480.2022.2066415
• Languages: English
• ISSNs: 0933-2480

Abstract

Abstract : How can scientific journals satisfy an admirable desire for open-mindedness and aversion to censorship while minimizing the publication of junk science? We consider this question in the context of the Bem (2011) paper reporting extra-sensory perception among Cornell students, which received a lot of attention in part because the editors made the decision to publish the article despite extreme skepticism of its claims. We consider the reasons, good and bad, for journals to publish such papers, and then we propose an alternative way in which the journal could publish without seeming to endorse outlandish claims. Our proposal is to flip the standard scheme of scientific publication by privileging data rather than strong conclusions presented with an air of certainty. This proposal could work for the publication of "big if true" claims more generally.