Ep 6: William Briggs - Dangers of Statistical Misinterpretation
Listen now
Description
If you’ve ever taken Statistics 101 – or participated in any basic research work – you’re probably familiar with the old adage “correlation does not imply causation.” Despite the saying’s popularity, many researchers (and media outlets) are quick to publicize “statistically significant” findings without further investigation in cause. This week, we explore the complexities of interpreting scientific data with a deep dive into the world of statistics with statistician William Briggs, which was recorded during his appearance at Hillsdale College's April 2023.
More Episodes
Published 11/15/23
This week on The Broken Science Podcast we look back at Emily’s introduction to the BSI’s event last February in Phoenix, Arizona. In post-modern science, the merits of a study are determined by consensus rather than the study’s predictive value. In her introduction to the event, Emily lays out...
Published 11/15/23
For most of modern history, people considered Alzheimer's to be a hopeless diagnosis, with nothing to do but wait for the inevitable decline of one's mind. In this week’s podcast we hear from Dr. Dale Bredesen, a renowned neuroscientist who took on his own industry and challenged the current...
Published 08/09/23