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
Coevolution and the bad take machine An Article by David R. MacIver notebook.drmaciver.com So when you have a bad take machine, you get the following processes: They make a bad take. People are outraged and talk about it. The bad take machine likes it and does more of that behaviour in future. If, on the other hand, they make a take and nobody cares, they do not get reward and the behaviour is selected against. The behaviours drove the spread of the outrage replicator, and the outrage replicator provides the selection mechanism for the behaviours. Thus, via the spread of our outrage on Twitter, we have operant conditioned the bad take machine into producing worse takes. Which is to say, it's bad on purpose to make you replicate it. How to write a high-engagement tweetA bad tweet is like a deepfake of an idea mediaanger