Why Most Published Research Findings Are False A Research Paper by John P.A. Ioannidis journals.plos.org There is increasing concern that most current published research findings are false. The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio of true to no relationships among the relationships probed in each scientific field. In this framework, a research finding is less likely to be true when the studies conducted in a field are smaller; when effect sizes are smaller; when there is a greater number and lesser preselection of tested relationships; where there is greater flexibility in designs, definitions, outcomes, and analytical modes; when there is greater financial and other interest and prejudice; and when more teams are involved in a scientific field in chase of statistical significance. researchsciencetruth
v0.crap I couldn’t seem to convince my writers that I was genuinely ok working with a super rough first draft — i.e., that I’d harbor no hidden judgment about their intelligence, commitment, or excellence at their craft. So I came up with a new word. “Just give me a v0.crap.” (Pronounced “version zero dot crap”.) v.0.crap works because it’s attuned to the psychology of the situation. It’s punching through our innate desire not to “look bad”, plus years of corporate conditioning that tells us not to share less-than-polished work. It’s easier for people used to delivering exceptional work to feel they’ve exceeded the goal of “crap”; they can sit comfortably in “good enough for the current purpose.” Courtney Hohne, The monkey, the tiger beetle and the language of innovation blog.x.company Writing, Briefly qualityideaswritingmaking