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
Embracing the mess Design is non-linear. At Figma, we often talk about “embracing the mess,” and that really means leaning into the chaos and complexity that makes the design process what it is. Even once you have the seedling of an idea, you need to explore and iterate, then pull back and evaluate to see what’s working and what’s not. Sometimes you’ll scrap an idea after a brainstorm session, and other times you’ll get pretty far with a concept, but still need different perspectives and input to move forward. Yuhki Yamashita, A Q&A with Figma's VP of Product The Design Squiggle designmakingiteration