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
80/20 is the new Half-Ass An Article by Shawn Wang www.swyx.io The Pareto Principle is making you lazy. Let me be more precise: The Pareto distribution is a useful model of power law effects in real life. But people are using it poorly, primarily as an excuse to be lazy. ...People forget that the devil is in the details. The first 20% everyone knows to say on Twitter. The remaining 80% is the ugly, nasty, hacky, unglamorous shit nobody talks about unless you've got time to sweat the details. The Pareto principle detailscraft