Abstract
The article presents two alternative proposals for the use of probability to analyze scientific reasoning: Bayesianism and error statistics. The debate between these two approaches is one of the most important issues in contemporary Philosophy of Science and is a continuation of the well-known debate between Popper and Kuhn. The article presents the explanations offered by Bayesianism for specific phenomena of scientific activity that other approaches have difficulty in explaining, like the ravens paradox. Despite its positive results as a research program, Bayesianism has been the target of strong criticism, for instance, because it allegedly does not offer an adequate solution to Duhemt’s problem. Error Statistics in particular proposes the application of statistical methods and probability calculus to explain scientific reasoning in a way radically different from Bayesianism. The debate started by Popper and Kuhn is continued in probabilistic terms and is far from ended.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Principia: an international journal of epistemology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.