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
Clues for software design in how we sketch maps of cities An Article by Matt Webb interconnected.org Given there’s an explosion in software to accrete and organise knowledge, is the page model really the best approach? Perhaps the building blocks shouldn’t be pages or blocks, but neighbourhoods roads rooms and doors landmarks. Or rather, as a knowledge base or wiki develops, it should - just like a real city - encourage its users to gravitate towards these different fundamental elements. A page that starts to function a little bit like a road should transform into a slick navigation element, available on all its linked pages. A page which is functioning like a landmark should start being visible from two hops away. The Image of the City urbanismcitiessoftwareunderstanding