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
Beyond 10× An Article by Matthew Ström matthewstrom.com Forget 10×. With a focus on outcomes and an eye towards the border between net-positive and net-negative work, any team can push their productivity beyond their previous limits. ...If you can perform one task better than most people, you might be a 10× designer or developer or product manager (or whatever you are). But if your team can find small ways to make many of their tasks net-positive, 10× is just the start. productivity