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
Individuals matter An Article by Dan Luu danluu.com One of the most common mistakes I see people make when looking at data is incorrectly using an overly simplified model. A specific variant of this that has derailed the majority of work roadmaps I've looked at is treating people as interchangeable, as if it doesn't matter who is doing what, as if individuals don't matter. Individuals matter. On Talent teamworkplanningwork