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”
Episodes
Monday Apr 19, 2021
Monday Apr 19, 2021
#datascience #science #pseudoscience #criticalthinking #reasoning
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.
We have a new series that centers on the discussion of science vs. pseudoscience. Guests of different backgrounds share their insights on what really constitutes science and the highly-contested pseudoscience. 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.
0:00 - Intro
0:43 - Science vs Pseudo/Bad/No Science
05:52 - Demarcation problem of science
12:07 - Incentives in science
13:00 - Glen forgets the word for "book"
13:40 - Luminiferous aether & lunch tables
18:19 - Keeping “good science” out of the science category
22:49 - Aiming to define science in relation to Kuhn’s theory
29:06 - Kuhn’s theory in action in various scenarios
32:53 - Logical fallacies in the world of science
46:17 - Intelligent design theory as science
51:14 - Distinction of different sciences
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