Science vs Pseudoscience | Dien Ho | Philosophy of Data Science

#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, Dien Ho outlines the arguments around a major 20th Century question, "Is it possible to delineate science from 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. 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. In today’s episode, we talk to Professor Dien Ho, PhD, a Professor of Philosophy and Healthcare Ethics, of the Massachusetts College of Pharmacy & Health Sciences. Discover how philosophical ideas and theories are applied in hopes of understanding what really counts as science and what pseudoscience really is. 00:00 - Introduction 5:33 - What is pseudoscience? 08:53 - Legitimacy of other sciences 12:11 - What qualifies as science? 19:00 - Inductivism and empirical falsifiability 26:22 - Positivism and the importance of assumptions 31:36 - Assumptions and observations for data scientists 42:34 - The pursuit of science 49:17 - Scientism and revolutionary scientists 54:43 - Pinning down what science is