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
The Law of Triviality You’ve likely heard of Parkinson’s Law, which states that tasks expand to fill the amount of time allocated to them. But you might not have heard of the lesser-known Parkinson’s Law of Triviality, also coined by British naval historian and author Cyril Northcote Parkinson in the 1950s. The Law of Triviality states that the amount of time spent discussing an issue in an organization is inversely correlated to its actual importance in the scheme of things. Major, complex issues get the least discussion while simple, minor ones get the most discussion.
The observer effect In biology, when researchers want to observe animals in their natural habitat, it is paramount that they find a way to do so without disturbing those animals. Otherwise, the behavior they see is unlikely to be natural, because most animals (including humans) change their behavior when they are being observed. The Spoken and the Unspoken uxethnography