Loading...
sciencemathematicstechnology
Deborah Mayo | Statistics & Severe Testing vs Pseudoscience
About this Episode
Deborah Mayo | Statistics & Severe Testing vs Pseudoscience
Watch it on… YouTube Podbean
In our fourth episode of the “science vs pseudoscience” mini-series, Deborah Mayo (Virginia Tech) specifies several necessary criteria to be scientifically rigorous. She gives several examples of how statistical thinking is essential to scientific thinking and why she believes that the “I’ll know it when I see it” approach to delineating science from pseudoscience is not a good approach.
Looking to catch up with the earlier “Science vs Pseudoscience” episode?
You can watch them here: Intro Episode 1 Episode 2 Episode 3
Hosts & Guests
No transcript available for this episode.
More from Data & Science with Glen Wright Colopy
View all episodes →
Keith O’Rourke | The Logic of Statistics
Data & Science with Glen Wright Colopy
Aug 2, 20221:13:29pending
Jack Fitzsimons | Evil Models: Hiding Malware in Neural Networks
Data & Science with Glen Wright Colopy
Jul 26, 202251:30pending
Scott Cunningham | Causal Inference (The Mixtape)
Data & Science with Glen Wright Colopy