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
A grossly obese set of requirements Who advocates in the requirements process for the product itself—its conceptual integrity, its efficiency, its economy, it’s robustness? Often, no one. As often, an architect or engineer who can offer only opinion based on taste and instinct, unbuttressed as yet by facts. For in a classical Waterfall Model product process, requirements are set before design is begun. The result, of course, is a grossly obese set of requirements, the union of many wish lists, assembled without constraints. Usually, the list is neither prioritized nor weighted. The social forces in the committee forbid the painful conflicts occasioned by even weighting, much less prioritizing. Frederick P. Brooks, Jr., The Design of Design Requirements proliferationA Plea for Lean Software features