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Deborah Mayo | Statistics & Severe Testing vs Pseudoscience

Deborah Mayo | Statistics & Severe Testing vs Pseudoscience

FromData & Science with Glen Wright Colopy


Deborah Mayo | Statistics & Severe Testing vs Pseudoscience

FromData & Science with Glen Wright Colopy

ratings:
Length:
95 minutes
Released:
May 13, 2021
Format:
Podcast episode

Description

Deborah Mayo | Statistics & Severe Testing vs Pseudoscience
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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    
Released:
May 13, 2021
Format:
Podcast episode

Titles in the series (88)

Data and Science with Glen Wright Colopy is a podcast covering critical scientific reasoning, particularly from a data science / machine learning / statistics perspective. Episodes typically focus on understanding of how to be better scientists and critical thinkers for the practical purpose of being a better data scientists. Previously called: ”Pod of Asclepius”