PSYCH 2010 Lecture Notes - Lecture 19: Observer-Expectancy Effect, Representativeness Heuristic, Confirmation Bias
30 Sep 2016
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Document Summary
Algorithm : methodical, logical rule or procedure that guarantees solving particular problem - counting all cars you see on a road. Humans love shortcuts (heuristics) - not as accurate. Usually faster, more error prone, often unconscious. Biases - doesn"t quite get you to the right answer (just gets you close to/an approximation) Example: after 9/11 many people did not want to fly so they drove, however, driving is more dangerous and resulted in many more deaths that flying would have. Representative heuristic - judge likelihood of things based on how well they match our prototypes (we place things into categories in our heads) Biases stereotypes, librarian vs, teacher, loose rates. Anchoring - watch for bias of irrelevant anchors . Adjustment - bias of insufficient adjustment we are overly adjusting. The affect heuristic: we don"t just see a house . we see a large, blue, beautiful house. Deductive vs. inductive: induction is more common based on observations.
