Deborah Mayo | Statistics & Severe Testing vs Pseudoscience

from Data & Science with Glen Wright Colopy · host podofasclepius

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

Episode metadata supplied by the publisher feed · Published May 13, 2021

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Deborah Mayo | Statistics & Severe Testing vs Pseudoscience

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