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
You can almost tell which software they were designed in Tatiana von Preussen, cofounder of London practice vPPR Architects, says that certain software comes with constraints that encourage a particular style: “Something I’ve noticed with new buildings is that you can almost tell which software they were designed in. For instance, if you take Revit, it’s very hard to freely create non-orthogonal, non-linear geometries, and it’s very easy to create repetitive elements, so it lends itself to a particular way of building.” Nick Jones, Back to the Drawing Board Every Tool Shapes the Task constraintstoolsdesign