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
Systems, Mistakes, and the Sea An Article by Robin Rendle www.robinrendle.com Every paper cut is felt The design systems between us
Every paper cut is felt My point here is that in a design system every paper cut is felt. Every collapse leads to another, every new modal or unnecessary checkbox component hinders the collective refactoring that’s required to make a codebase consistent and easy to understand. When it comes to hyperobjects and design systems everything matters (although, frustratingly, it is impossible to measure success) and the smallest problem is just a signal in the dark—a premonition of a monster; organizational dysfunction writ large. systemsmistakes