“An orange used car is least likely to be a lemon.” At least that’s what was claimed by The Seattle Times, The Huffington Post, The New York Times, NPR, and The Wall Street Journal. However, this discovery has since been debunked as inconclusive. As data gets bigger, so does a common pitfall in the application of standard stats: Testing many predictors means taking many small risks of being fooled by randomness, adding up to one big risk. The tragic but common mistake is called p-hacking. In this episode, we cover this issue and provide guidance on tapping data’s potential without drawing false conclusions.
"Are Orange Cars Really not Lemons?" by John Elder and Ben Bullard, Elder Research, Inc.: www.elderresearch.com/orange-car
The Ron Burgundy Podcast
Will Ferrell reprises his role as Ron Burgundy in the world-famous Ron Burgundy Podcast! Each episode has a different theme in which Ron engages in conversation with another notable person on the topic at hand. In true Ron Burgundy fashion, these conversations have a tendency to go off the rails, and we find out things about people we never knew we wanted to know. Join America’s favorite Anchorman, continuing to delight audiences with the comical musings of Ron Burgundy – and leave them wanting more!
Current and classic episodes, featuring compelling true-crime mysteries, powerful documentaries and in-depth investigations.
Stuff You Should Know
If you've ever wanted to know about champagne, satanism, the Stonewall Uprising, chaos theory, LSD, El Nino, true crime and Rosa Parks then look no further. Josh and Chuck have you covered.