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
Do they really need it? Does Google really need playful doodles to deliver the value they consistently provide in search results? Does Stripe really need to spend so much energy on the design of its site and SDK’s, which after all, are primarily for the developers that use their API’s? Does Apple really need to sweat the literally thousands of very subtle and often not consciously noticed interactions on its devices? Marty Cagan, Ensuring Excellence On Taste