Sunday at BSI’s 2024 Epistemology Camp was a loosely structured open discussion, covering probability, quantum theory, cosmology, and more.

In March 2020, while still serving as CrossFit CEO, Greg Glassman delivers a version of a talk he had delivered during grand rounds at medical schools around the country. Greg Glassman divides various common causes of death into five categories: chronic, microbic, genetic, kinetic, or toxic.

Emily looks at medical tests and explains two concepts commonly used in testing: sensitivity and specificity.

Emily helps understand what hazard ratios are, what they can tell you about risks of a specific treatment, and how other factors like all-cause mortality also need to be considered when deciding on treatments.

Emily delves into the world of randomized clinical trials, explaining the steps in the process, the limitations of the trials, and common problems.

Anthony Garrett delivers a comprehensive lecture, touching on several major themes centered around the principles of probability, scientific methods, and the philosophical underpinnings of science.

Gerd dives into the history of statistical analysis in his field of psychology, which has led to a paradigm of rituals, in place of meaningful thought.

Greg Glassman kicked off the 2024 BSI Epistemology Camp with this presentation. Greg’s talk centers around the ‘breaking point’ from modern science to post modern science.

In this video Emily explains the difference between a Bayesian approach and a frequentist approach to analyzing statistics. A Bayesian analysis looks at prior probabilities combined with data to determine the probability that the hypothesis is true. A frequentist analysis compares the hypothesis to the null-hypothesis, a yes/no approach, to determine if the data could support the null-hypothesis. It then ranks the data with a P-value, but it actually says nothing about the hypothesis being true.