Is that COVID-19 model true? An intro to quantitative falsifiability metrics for confirming the safety and effectiveness of drugs and medical treatments, the reliability of mathematical models used in complex derivative securities and other practical applications. It starts with a discussion of the myth of falsifiability, a commonly cited doctrine often used to exclude certain points of view and evidence from consideration as “not scientific”. It discusses the glaring problems with the popular versions of this doctrine and the lack of a rigorous quantitative formulation of a more nuanced concept of falsifiability as originally proposed, but not developed, by the philosopher Karl Popper. The video concludes with a brief accessible presentation of our work on rigorous quantitative falsifiability metrics for practical science and engineering.
The video is also available at: https://www.bitchute.com/video/naogjPPRGkaG/
UPDATE: The Myth of Falsifiability Article
It is generally faster to read the article than watch the video.
(C) 2020 by John F. McGowan, Ph.D.
About Me
John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).