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
Designing with code An Article by Matthew Ström matthewstrom.com Recently I’ve had a few opportunities to use code to create design. In two of my bigger projects at The Wall Street Journal, writing code has led to new ideas. Problems that typically plague early designs — e.g. “how does this look with real content?” — are easy to solve. By exploring visual ideas directly in code, I’ve started to see the amazing potential of code as a design tool. ColophonPainting With the WebI never have engineers that aren't designers codedesign