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.

In February of 2023 Dr. Kendrick spoke at BSI’s event in Phoenix, AZ. Malcom’s presentation recaps the history of the diet-heart hypothesis, the supposed link between cholesterol and cardiovascular death, and how drug companies have fooled doctors into prescribing medications that are harming patients rather than helping them.

Simply put, a p-value is a measure of the likelihood that the results of a study are due to the hypothesis, and not simply a result of chance. It compares the “null hypothesis,” the idea that the thing being studied has no effect, vs the “alternative hypothesis,” the thing being tested. So if the p-value is low, the data is thought to be significant. However, the p-value does not validate the effectiveness of the thing being studied, it simply claims to shows that the results were not due to chance.

Frighteningly, scientists, researchers, and medical professionals misinterpret the meaning of p-values but place extreme faith in them.

On his podcast, Emily and Dr. Drew talked at length about the overuse of statins to treat coronary heart disease.

In this presentation from 2019, Greg Glassman tells the story of how bad science, primarily in the form of corruption, led him to make business decisions to fight to protect his affiliate gyms.