Dr. Drew and Emily call attention to the flaws in the current state of modern science. Emily and Drew discuss the Dana-Farber scandal, the cost/benefit of going to college, the do-or-die culture in science, and the lack of curiosity among journalists.

William Briggs explains the basics of calculating probability, which pieces of the calculation are subjective, and how the results can influence beliefs and actions.

Economist Gary Smith digs into a published study on green innovations that failed to disclose missing pieces of its dataset.

BSI Co-Founder and CEO Emily Kaplan was interviewed by Dr. Ken Berry. During the livestream, the two discussed diabetes, misleading health studies, and issues with medical journalism.

Co-founder and CEO of The Broken Science Initiative, Emily Kaplan, went onto the B FIT Podcast with Connor Murphy discussing the fundamentals of BSI.

Breaking down composite endpoints to their component parts.

Februaury 15, 2024 Article by Elisabeth Bik. “A review article with some obviously fake and non-scientific illustrations created by Artificial Intelligence (AI) was the talk on X […]

How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy

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.