Flawed scientific thinking lies at the heart of postmodern scientific, medical, and institutional failures

Coming August 28th! This episodic series from BSI's Emily Kaplan aims to change our collective conversation through art and science.

In early May 2024, Greg Glassman hosted a group of friends for tacos and an informal presentation of what science is, and the problems with the science of today.

Epoch TV recently released an interview with BSI’s Emily Kaplan on their show American Thought Leaders with Jan Jekielek.

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

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.