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
Against Canvas An Article by Alan Jacobs ayjay.org Even with all the features and plugins, Canvas presumes certain ways of organizing classes that might not be universal, just typical. And if (like me) you’re an atypical user, you have to choose between constantly fighting with the system or gradually doing more and more things the way Canvas wants you to do them. This, by the way, is why it’s never true to say that technologies are neutral and what matters is how you use them: every technology without exception has affordances, certain actions that it makes easy, and other actions that it makes difficult or impossible. A technology whose affordances run contrary to your convictions can rob you of your independence — and any technology deployed on the scale of Canvas will inevitably do that. It will turn every teacher into an obedient Canvas-user. I don’t want to be an obedient Canvas-user. technologylearningux