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
An incoherent rant about design systems An Article by Robin Rendle www.robinrendle.com No matter how fancy your Figma file is or how beautiful and lovingly well organized that Storybook documentation is; the front-end is always your source of truth. You can hate it as much as you like—all those weird buttons, variables, inaccessible form inputs—but that right there is your design system. ...being honest about this is the first step to fixing it. uxcode