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
Minimum Awesome Product An Article by Carlos Beneyto theuxblog.com Show image 0 Show image 1 Users are accustomed to a minimum of quality, and they expect that of all new products. If our product does not [meet basic expectations of quality], people will automatically believe that it is a bad product and they will not take it seriously. It is not what they expect. Hence my suggestion that the MVP has died and the MAP: Minimum Awesome Product was born. Understanding the Kano ModelDon't Serve Burnt PizzaWhat happens to user experience in a minimum viable product? qualityuxfeaturessoftware