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
Stretching the product When we’re thinking about where to take our product next, we actually take a lot of inspiration from our customers and the Figma Community, to see how they’re stretching our product in interesting or unexpected ways. We saw this happening in the early days of the pandemic. Our users were starting to use Figma for everything from brainstorming ideas to running team warm-up activities, to even putting on social events for people to get to know each other. We saw a lot of use cases that got us thinking. Yuhki Yamashita, A Q&A with Figma's VP of Product All sorts of ways to use the machineHacking is the opposite of marketingIn ways you didn't anticipateThis tactile form of doodling tools