Lecture 3: Making Likelihood Judgements Flashcards

1
Q

Uncertainty

A

Statistical Definition

The probability of an event occurring is not equal to 0 or 1

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2
Q

Likelihood judgement

A

judgment of how probable an event is to occur or how likely a statement is to be true

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2
Q

Heuristic

A
  • systematic
  • quick to use
  • easy to use
  • used under conditions of
    uncertainty
  • simplifies the procedure for obtaining a probability
  • reduces the complexity of obtaining a probability
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3
Q

Tversky and Kahneman (1973)
Do people use the availability heuristic when estimating frequencies?

A

People use the availability heuristic when estimating frequencies

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3
Q

Availability Heuristic

A

“People assess the frequency of a class or the probability of an event by the ease with which instances or occurrences can be brought to mind” (Tversky & Kahneman, 1974, p 1127)

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4
Q

Judge the size of a set/frequency of events

A

normative - how many items/events

Descriptive - use rule: how many items, events can be easily recalled

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5
Q

Method: Relative Frequency-of-Occurrence Judgement

A
  • Participants given or asked to generate lists of two possible events or items
  • Participants asked to determine which item or event occurs more frequently
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6
Q

Result of Relative Frequency-of-Occurrence Judgement

A

For the consonants K, L, N, R, V:

“Among the 152 subjects, 105 judged the first position to be more likely for a majority of the letters, and 47 judged the third position to be more likely for a majority of the letters.”
(Tversky & Kahneman, 1973, p211-212)

The reality; there are more words where these letters appear in the third position

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7
Q

Tversky and Kahneman (1973)
Do people use the availability heuristic to estimate frequencies when the actual frequencies are presented?

A

When people estimate frequencies based on available information, people use availability heuristic

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8
Q

Method: Set-Size Judgement

A

Participants asked to estimate the number of items in the set or class

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9
Q

Result of Set-Size Judgement

A

“Among the 99 subjects who compared the
frequency of men and women in the lists, 80 erroneously judged the class consisting of the more famous names to be more frequent”
(Tversky & Kahneman, 1973, p221)

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10
Q

Finding Interpretation of Set-Size Judgement

A

“people judge the frequency of a class by assessed availability, i.e., by the ease with which the relevant instances come to mind.”

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11
Q

The availbility heuristic in clinical decision making

A

Do clinicians make use of the availability heuristic when making diagnoses?

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12
Q

The law of small numbers

A

the tendency to think of small samples that appear random are representative of the population

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13
Q

Kahneman and Tversky (1973)
Do people use the representativeness heuristic?

A
  • people use the representativeness heuristic
  • as a consequence people commit the base rate fallacy
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14
Q

Base Rate

A

Statistics:
- unconditional probability
- probability that does not take into account any existing evidence

15
Q

Base Rate Fallacy

A

when people estimate probabilities
- people ignore relevant statistical information

  • people favour information based on a single case
16
Q

Kahneman and Tversky (1983)
Do people use the representativeness heuristic?

A
  • people use the representative heuristic
  • as a consequence, people commit the conjunction fallacy
17
Q

Conjunction Fallacy

A

People fail to consider the implications of the word “and” when making probability judgements

The probability of any one certain event can’t be less than the probability that this event and another uncertain event can occur together

18
Q

Two types of fallacies

A

Base-rate fallacy
- people rely on information from a single source

  • people do not reason based on probabilities

Conjunction Fallacy
- people rely on information from a single case

  • people do not reason based on processing conjunctions