Rationality Flashcards
two main questions in debate of rationality
what does it mean to be rational? are humans rational?
example of irrational statements
more red apples than red things (conjunction fallacy), 2/3 survive better tahn 1/3 die (framing effect), make sure no one goes to concert without ticket means make sure everyone with ticket goes to concert
standard/classical view of rationality
rational is to be in accordance to principles of reasoning based on rules of logic/probability
what classically rational beings are good at
means to end reasoning, decision-making, math, probabilities, logic, consistent beliefs
linda the bank teller
tversky and kahneman (question rationality), Linda cares about social justice, is she a bank teller or bank teller AND feminist, 89% get wrong - conjunction fallacy
conjunction fallacy
A cannot be less than A and B, but get wrong
how subjects response demonstrates conjunction fallacy (linda)
less likely to be bank teller AND feminist than just bank teller
whether responses on linda come from improper education
85% of decision science grad students at Stanford also get wrong
Lawyer v engineer
30 engineer, 70 lawyer, choose 100 descriptions, first sounds like engineer, second is neutral, third has no description, version 1 = lawyer dominant, version 2 = engineer dominant, do base rate neglect so think first is engineer
base rate neglect
ignore all you know when you get a little bit of information in the other direction, like person athletic with fast car - nurse or pro basketball player? would say basketball but statistically is nurse
bayesian reasoning
prior probability, updating, probability of hypothesis on given body of evidence depends on prior probability of hypothesis, if all 19 die vs 19 of 20 die update
cases where subjects commit base rate neglect
1/10 guys hipsters, 7/10 hipsters have mustaches, so higher chance that guy is hipster, also cliff diving example
asian disease
us outbreak where kills 600 people maybe… case 1: program A saves 200, program B 1/3 probability save 600 and 2/3 probability save no one, case 2: program A 400 die, program B 1/3 probability no one die, 2/3 probability 600 die - actually have same probability but 28% do risky with save and 78% do risky with die, framing effect
framing effect
framing of works have effect, choice involving gains are often risk averse and choices involving losses often risk taking
asymmetry in risk taking shown by subjects in asian disease cases
subjects take less risk with save and more risk with die