What is the R-factor? The R-factor is a number from 0 to 1 that indicates how reliable is the main claim of a scientific communication and of any verifiable report in general. The R-factor is calculated by dividing the number of studies that have verified the claim by the total number of studies that attempted to do so (Fig. \ref{\ref{\ref{\ref{\ref{\ref{\ref{ttps://www.authorea.com/users/8850/articles/164993/_show_react#author-label-658481}}}}}}}, middle). For example, if 10 studies tested a claim and 8 of them confirmed it, then the R-factor of the report would be 0.8(10). The R-factor of an investigator, a journal, or an institution is an average of the R-factors of the claims they reported. We envision that introducing the R-factor would inhibit the rash to publish (Fig. \ref{\ref{\ref{\ref{\ref{\ref{\ref{ttps://www.authorea.com/users/8850/articles/164993/_show_react#author-label-658481}}}}}}}, bottom) by creating an explicit numerical measure of veracity, in essence, reputation, whose absence would jeopardize the career of the authors. An additional benefit would be the inventory of knowledge, as assigning the R-factor would identify and label the claims that remain untested or have been refuted.