SPRING Reasoning and judgement Flashcards
describe the sally clarke problem
both babies die from sudden infant death - very unlikely
argued that prob so low, more likely to be murder
but lawyers used poor statistical reasoning - two events were not independent of eachother and the prob of two independent events not the same as two linked ones (prosecutors fallacy)
ignores probabilities of two murders in same family
contraceptive probabiities
98% vs 99% effective
over time, 98% sig less effective than 99%
how do we make subjective probability judgements
decision making based on SEU
heuristic strategies to judge the likelihood of event occurance
describe the availability heuristic
judge probability based on ease comes to mind
if more freq then more available
tversky and kahenman availability heuristic
more common: r as first or third letter
most say first - easier to think of words beginning with r
slovic, fichoff and litchenstien 1979 availability heurostic
estimate freq of causes of death
overestimate those unlikely but heavily reported ie murder and underestimate those rarely reported ie emphysema
describe the representativeness heuristic
degree of correspondence between an instance and a category
ie looks and sounds like it so probably is
how much a certain set of circumstances will drive the likelihood of something based on past experience - link closely to stereotypes
tversky and kahenmen 1983 conjunction fallacy (representativeness heuristic)
liinda - bank teller, feminist bank teller, feminist
often chose feminist bank teller but statistically the least likely
two independent events make conjunction of two together even less probable - feminist bankteller is smaller subset of banktellers
describe anchoring heuristic
base estimated probability on the first piece of information we are given
tversky and kahenman 1974 anchoring
estimates under time pressure 1. 1x2x3x4x5x6x7... 2. 7x6x5x4x3x2x1 = ~40000 BUT estimate 1 lower than 2 based on first numbers
lichtenstein et al 1978 anchoring
achoring on first given value means fail to adjust appropriately
estimate freq of 40 causes of death
a. 50000 motor cycle or b.10000 electrocution
estimate higher for a
real world examples of anchoring
anchoring consumers for price reference so view as less expensive
credit card minimums
high prices as ref point for lower
what is bayesian reasoning
update probabilities based on additional information that causes to ignore the original base rate and focus on hit rate
make probabalistic inferences based on additional info and therefore forget the initial info given
kahenman and tversky 1973 base rate fallacy
30 engineers and 70 lawyers stereotypical description of engineer/lawyer or neutral neurtral tend to report 50% rate increase if stereotypical BASE RATE ALWAYS THE SAME: 42%
medical diagnosis problem base rate fallacy
casscells et al 1978
prob breast cancer 1%…given values of pos mamog if have cancer = 80% and not = 9.6%
= overall 7.8% prob
clinicians probability = 70-80% as ignore probability of 1% and focus on hit rate