PSYB01H3 Lecture Notes - Lecture 2: Knowledge Engineering, Confirmation Bias, Falsifiability

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30 Jan 2019
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Review from last week 7 limitations of personal experience: Inferences may be based on very little data. So why science? it provides an objective set of rules for gathering, evaluating and reporting info! Conclusions about the world based on collection and evaluation of the data in a systematic way theory drive. Questions must be falsifiable! theory prediction test theory modification. Common sense theory or folk myth is not falsifiable. Drew blood out of people in belief that it would help cure the epidemic. His position as teacher and his facile pen benjamin rush had more influence upon american medicine and was more potent in propagation and long perpetuation of medical errors than any man of his day. Has to be able to replicated, criticized and extended. Need for skepticism! ideas must be evaluated based on careful logic and results from scientific investigation therefore, the more you know about the scientific method, the more skeptical you will be of research results.

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