Bayesian Vs. Frequentist Statistics

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.

Losing Faith In Medical Research

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.