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
Human-scale digital spaces An Article by Alexis Lloyd medium.com The open web is much like emergent, unplanned cities — it happens at the scale of the individual, it allows for unexpected creativity, it gives agency to anyone (well, anyone with sufficient technical knowledge) to shape their own spaces. On the other hand, the platforms that now dominate much of the web experience are more evocative of Moses’s planned cities—they often occur at the scale of the corporation, and have rigid, predictable constraints for how individuals can behave and express themselves. wwwurbanism