Ep 6: William Briggs - Dangers of Statistical Misinterpretation

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.

Great job exposing p-values as nearly useless

As an industrial statistician I’ve long taught that significance doesn’t mean importance. This podcast explains why.