Here's an easy numerical example of why conditional probabilities as employed in Bayes Rule are important: https://www.youtube.com/watch?v=x5FfTjJtV3E&feature=share <https://nam05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3Dx5FfTjJtV3E%26feature%3Dshare&data=02%7C01%7Ckelsey%40edc.pitt.edu%7Cd4539c648e544adc9a3608d7ec422ca0%7C9ef9f489e0a04eeb87cc3a526112fd0d%7C1%7C1%7C637237641268432573&sdata=sSVCqTqIkvlnbjX%2BoUoUxdPdt%2FolTIHHw%2FZiJzCgCMk%3D&reserved=0>
George Duncan Emeritus Professor of Statistics, Carnegie Mellon University georgeduncanart.com See posts on Facebook, Twitter, and Instagram Land: (505) 983-6895 Mobile: (505) 469-4671 My art theme: Dynamic exposition of the tension between matrix order and luminous chaos. "Attempt what is not certain. Certainty may or may not come later. It may then be a valuable delusion." >From "Notes to myself on beginning a painting" by Richard Diebenkorn. "It's that knife-edge of uncertainty where we come alive to our truest power." Joanna Macy.
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