Lecture Notes on Reasoning Biases

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Flashcards about Illusory Correlation, Confirmation Bias and related concepts.

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14 Terms

1
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What is an illusory correlation?

Overestimating the strength of relationships or detecting nonexistent ones.

2
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What is confirmation bias?

Seeking evidence that supports beliefs.

3
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What factors can contribute to an illusory correlation?

Small number of observations, ignoring base rates, confirmation bias

4
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What are base rates?

Stated probabilities that should be used in decision making.

5
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According to Kahneman & Tversky's research, how do people use base rates when making decisions?

People tend to use additional information when given and ignore base-rate probabilities.

6
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What is a common error related to Confirmation Bias?

Searching for positive evidence to confirm an argument.

7
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What is confirmation bias?

Tendency to seek positive evidence that confirms or supports an argument.

8
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How do people typically react to evidence that supports their beliefs versus evidence that contradicts them?

Evidence that supports beliefs is usually accepted; evidence that does not is scrutinized & discounted.

9
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Explain the main finding of the Ross, Lepper, & Hubbard (1975) study on belief perseverance.

Even after being debriefed, participants continued to rate themselves based on earlier false feedback.

10
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What is belief perseverance?

Maintaining beliefs that are not supported by evidence, often due to confirmation bias.

11
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How can discounting affect how disconfirming evidence is remembered?

Discounting disconfirming evidence can affect how it is remembered (i.e., as not very convincing).

12
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How can we reduce the reliance of illusory correlations?

Judgment should involve comparison of ratios, not just the upper-left cell, to avoid illusory correlations

13
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What is representative heuristic?

A mental shortcut used to make judgments based on how similar an object or event is to an existing prototype, often leading to statistical biases.

14
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What is the gambler’s fallacy?

the mistaken belief that future probabilities are influenced by past events in random scenarios, leading individuals to expect a certain outcome after a series of different results.