judgement bias 1 Flashcards
what are cognitive heuristics
mental strategies used under ‘uncertain conditions’ to make them easier to understand
why use cognitive heuristics
5 reasons
Used due to cognitive limitations Working memory and attention Used due to external constraints e.g., limited time Used due to motivational constraints Lack of interest in or understanding of task
impact of heuristics on biases
Using cognitive heuristics involves not taking (sufficient) account of relevant information, which leads to biased judgements or decisions
Relying too much on information that’s easy to retrieve from memory can create a bias
what was Kahneman and Tversky’s original approach to cognitive heuristics
challenged the dominance of normative models of thinking
used cog heuristics as a way to make complex tasks more manageable
what were the 3 cognitive heuristics ID’d by Kahneman and Tversky
availability
representativeness
anchoring and adjustment
define “availability”
judging something based on ease of recall/mental simulation of consistent evidence or info
define “representativeness”
making judgements based on the similarity between seemingly related things ( e.g personality characteristics and star signs)
define anchoring and adjustment
making judgements based on numerical info - bias is due to insufficiently adjusting from the anchor
Kahneman and Tversky’s research on availability using newspaper articles
found that the p’s who read newspaper articles about house fires overestimated the chance of involvement in an accident reading the article served as a memory primer for event consistent info (led to overestimation
Kahneman and Tversky - English words starting with R and R as 3rd letter
most p’s wrongly judged more english words start w/ R than have R as 3rd letter
actually 3x as many words with r as 3rd letter but easier to think of words beginning with R
( greater cog availability of these words as tend to remember words based on 1st letter
Taxi cab study on Representativeness
gave p’s scenario about hit& run incident involving blue or green company taxi
p’s told of correctness of eyewitness ID of colour of taxi involved (80%)
results of taxi cab study
overestimated probability blue or green taxi involved in accident
implications of taxi cab study
judging on basis of info in scenario about taxi’s colour rather than proportion of blue & green taxis in city
what is conjunction fallacy
thinking error (non-logical) occurring with probabilities 2 (+) not perfectly correlated things judged as being more likely to occur together than seperately
why does conjunction fallacy violate the extension rule of probability theory
because mathematically the prob of 2 (+) events occurring together has to be higher than likelihood they’ll occur separately