Confirmation Bias

Applied to Ideological Bayesians by Kevin Dorst 2mo ago

Confirmation bias (also known as positive bias) is the tendency to search for, interpret, favor, and recall information in a way that confirms or strengthens one'one's prior personal beliefs or hypotheses [1].   For example, one might test hypotheses with positive rather than negative examples, thus missing obvious disconfirming tests.

“I had, also, during many years followed a golden rule, namely, that whenever a published fact, a new observation or thought came across me, which was opposed to my general results, to make a memorandum of it without fail and at once; for I had found by experience that such facts and thoughts were far more apt to escape from the memory than favourable ones. Owing to this habit, very few objections were raised against my views which I had not at least noticed and attempted to answer.” - Charles Darwin (autobiography)

See also: Motivated skepticism, Privileging the hypothesis, Falsifiability, Heuristics and Biases, Availability heuristic, Surprise, Narrative fallacy, Privileging the hypothesis, Heuristics and Biases

Applied to ChatGPT vs the 2-4-6 Task by cwillu 1y ago
Applied to The Plan - 2022 Update by weverka 1y ago

Confirmation bias (also known as positive bias) is the tendency to search for, interpret, favor, and recall information in a way that confirms or strengthens one'one's prior personal beliefs or hypotheses [1].   For example, one might test hypotheses with positive rather than negative examples, thus missing obvious disconfirming tests.

Confirmation bias (also known as positive bias) is the tendency to search for, interpret, favor, and recall information in a way that confirms or strengthens one's prior personal beliefs or hypotheses [1].  For example, one might test hypotheses with positive rather than negative examples, thus missing obvious disconfirming tests.

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