In the second full length episode of the podcast, we discuss the current state of personalized medicine and the advancements in genetics that have made it possible.

This podcast explores the concept of p-values in hypothesis testing using an experiment on plant flowering. It emphasizes the importance of large sample sizes and statistically significant results. The significance of p-values in scientific experiments and different alpha values for rejecting the null hypothesis are discussed. The podcast also covers controlling for multiple comparisons with the Bonferoni correction and the limitations of statistical significance using the movie 'Particle Field' as a reference.

A conversation with Convertro's Nathan Janos about methodologies used to help advertisers understand the affect each of their marketing efforts (print, SEM, display, skywriting, etc.) contributes to their overall return.

In this first mini-episode of the Data Skeptic Podcast, we define and discuss type i and type ii errors (a.k.a. false positives and false negatives).

The Data Skeptic Podcast features conversations with topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches. This first episode is a short discussion about what this podcast is all about.