Science/Pseudoscience after Kuhn, Logical Fallacies, and the Pedestal of Science
Watch it on... YouTube Podbean
We each like to think of ourself as scientific. I'm yet to meet someone who would embrace being called "pseudoscientific". But what makes the difference?
In this episode, Neil Manson talks about the fallout from Thomas Kuhn's 1962 book "The Structure of Scientific Revolutions" and how this created a playbook for many modern critiques/attacks on scientific activity.
The implications for data scientists and statisticians is very interesting, since many of the examples around this debate involved the conflicts between hypothesis-driven science vs data-driven science.
Please consider forwarding this to any data scientists, statisticians, or scientists in general who would find this interesting!
Looking for a friendly introduction? Dien Ho covers the delineation of science from pseudoscience here.
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Glen Wright Colopy
DPhil Oxon
Data Scientist at Cenduit LLC, Durham, NC
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