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
That which requires caring Today's real world of technology is characterized by the dominance of prescriptive technologies. The temptation to design more or less everything according to prescriptive and broken-up technologies is so strong that it is even applied to those tasks that should be conducted in a holistic way. Any tasks that require caring, whether for people or nature, any tasks that require immediate feedback and adjustment, are best done holistically. Such tasks cannot be planed, coordinated, and controlled the way prescriptive tasks must be. Prescriptive technologies eliminate the occasions for decision-making and judgment in general and especially for the making of principled decisions. Any goal of the technology is incorporated a priori in the design and is not negotiable. Ursula M. Franklin, The Real World of Technology Holistic and prescriptive technologiesThe Nature and Art of WorkmanshipThe Nature and Aesthetics of Design agilesoftwareprocess