Inductive arguments, inductive fallacies and related ... · • In other words, B does not alter...
Transcript of Inductive arguments, inductive fallacies and related ... · • In other words, B does not alter...
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Fino PhD Lectures 2018 –Genoa, 9 march 2018
Inductive arguments, inductive fallacies and related biases. Part II: probability and causality
MargheritaBenziUniversitàdelPiemonteOrientale
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TopicsWewilldiscussthreeproblems
• Probabilisticfallacies
• Thegambler’sfallacy• Theconjunctionfallacy
• Causalfallacies• Simpson’sparadox
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Butbeforestarting…
HasanyonefoundabouttheBaaderMeinhofeffect? Whatistheassociatedheuristic? Otherbiases?
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• I.Thegambler’sfallacy
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• Tointroducethesubject,let’slookavideo.Itisafragmentofthefilm“RosenkrantzandGuildesternaredead”(1990);itisdirectedbyTomStoppard,whowrotethethetragicomedy(stagedforthefirsttimein1966).TheactorsareTimRothandGaryOldman.
• • • https://www.youtube.com/watch?v=KchhSIVwMdY•
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Questions
• WhyisGuildensternworrying?(or:isthereanythingstrangeandabitdisturbing?)
• WhydoesGuildensternlendtwocoinstoRosenkrantz?• GUIL:“Aweakermanmightbemovedtore-examinehisfaith,ifinnothingelseatleastinthelawofprobability”
• Buthequotestwo“lawsofprobabilities”thatpointtooppositedirections.Whatlawsarethey?
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“Law”I(The“lawofaverages”)• GUIL(understanding):Games.(Flipsacoin.)Thelawofaverages,ifIhavegotthisright,meansthatifsixmonkeyswerethrownupintheairforlongenoughtheywouldlandontheirtailsaboutasoftenastheywouldlandontheir–
• (Comment:hilariousconfusionof3different‘chanceset-up’s:coins,diceandmonkeysinthe“Infinitemonkeystheorem”)
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‘Law’2(equalchance)• GUIL:Timehasstoppeddead,andthesingleexperienceofonecoinbeingspunoncehasbeenrepeated156times...(Heflipsacoin,looksatit,tossesittoROS.)Onthewhole,doubtful.Or:aspectacularvindicationoftheprinciplethateachindividualcoinspunindividually(hespinsone)isaslikelytocomedownheadsastailsandthereforeshouldcausenosurprisethateachindividualtimeitdoes
• Whythereisatensionbetweenthe“lawofaverages”andthislaw?
• Whichoneiswrong?
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• Answer:thes.c.“lawofaverages”isafallacy:thegambler’sfallacy,aka“Thegambler’sruin”,or“Montecarlo’sfallacy”,or“Thefallacyofthematurityofchances”:
• Thisfallacyistheerroneousbeliefthatifapossibleoutcomeofarandomsequencedoesnotoccurforalongtime,thenitismorelikelythatitwilloccurinthenexttrial,oratleastonceinthenextfewtrials.
• Whyisitafallacy?
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• Kolmogorov’sAxioms• • LetAbeanevent(orasentencedescribinganevent)-• • ForanyA,0≤Pr(A)≤1• IfAiscertain,Pr(A)=1• IfAandBareincompatible,Pr(AorB)=Pr(A)+Pr(B)
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• ConditionalprobabilityPr(A|B)“TheprobabilityofAgivenB”
• ProbabilisticIndependence
AisprobabilisticallyindependentofBifProb(A|B)=Prob(A)• TheprobabilityofA-assumedthatB-isnotdifferentfromtheprobabilityofAingeneral.
• Inotherwords,BdoesnotaltertheprobabilityofA.
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Ifweconsideragenuinechancesetup,i.e.somethingthatproducesgenuinerandomevents,liketossinganunbiasedcoin,oneoutcomedoesnotinfluencethenextone.Therefore,theyareprobabilisticallyindependent(bycontrast,knowingthatachildissixyearsoldinfluencesthelikelihoodthatshecanread;therefore,theageofthechildandherabilitytoreadarenotprobabilisticallyindependent)
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• Ifacoin,oraroulette,oradeckofcartsareunbiased,oneoutcomedoesnotinfluencesthenextone.Letusaconsiderthetossingofacoin.
• H=head,T=tail.• Ifthecoinisfair
Pr(T)=Pr(H)=)½ Pr(T|H)=Pr(T)=½
• Wehavealso Pr(H|H)=½,• And
Pr(H|HHHHHHHHHHHHHH)=Pr(T|HHHHHHHHHHHHHH)=½.• Inotherterms,theprobabilityofHHHHHHHHHHHHHHHisthesameastheprobabilityof
HHHHHHHHHHHHHHT
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• Ifweknowforcertainthatthecoinisfair,thefactofhavingobtainedalongsequenceofheadsshouldnotlowerourdegreeofbeliefthatthenexttosswillhavetheoutcome‘head’.
• Butevenifweknowthisfact(“thecoin–ortheroulettewheel–“hasnomemory”:inthemovie,alsoRosenkrantzhasnomemory)weoftenfeelstronglyinclinedtothinkthat,thelongerthepastsequenceofheadshasbeen,themoreprobableistheoutcome‘tailofthenexttoss’.
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• Perhapsthemostfamousexampleofthegambler’sfallacyoccurredinagameofrouletteattheMonteCarloCasinoonAugust18,1913,whentheballfellinblack26timesinarow.Thiswasanextremelyuncommonoccurrence,withaprobabilityofaround1in136.8million.Gamblerslostmillionsoffrancsbettingagainstblack,reasoningincorrectlythatthestreakwascausinganimbalanceintherandomnessofthewheel,andthatithadtobefollowedbyalongstreakofred.[Wikipedia]
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• ButwhywethinkthatPr(HHHHHHHHHHHHHHT)>Pr(HHHHHHHHHHHHHHH)?Aplausibleansweristhatthefirstsequenceismoresimilartoournotionof‘randomsequence’;ifthisexplanationiscorrect,wehave,again,aninstanceoftheavailabilityheuristics.
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II.Theconjunctionfallacy
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• Tversky,A.,&Kahneman,D.(1982).Judgmentsofandbyrepresentativeness.InD.Kahneman,P.Slovic,&A.Tversky(Eds.),Judgmentunderuncertainty:Heuristicsandbiases(pp.84–98).NewYork,NY:CambridgeUniversityPress.Tversky,A.,&Kahneman,D.(1983).Extensionalvs.intuitivereasoning:Theconjunctionfallacyinprobabilityjudgment.PsychologicalReview,90,293–3l5.
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• Lindais31yearsold,single,outspokenandverybright.Shemajoredinphilosophy.Asastudent,shewasdeeplyconcernedwithissuesofdiscriminationandsocialjustice,andalsoparticipatedinanti-nucleardemonstrationswhenshewasununiversitystudent
• Choosethemostprobablehypotheses:
(a)Lindaisabankteller
(b)Lindaisabanktellerandisactiveinthefeministmovement
• TverskyandKahnemandiscoveredthatpeoplewerestronglyorientedtojudge(b)moreprobablethan(a)(inparticular,inasampleof142studentswhowereaskedtoassessthecomparativeprobabilityofb)vsa),85%judgedb)moreprobablethana).
Thisanswerisfalse,accordingtoprobabilitycalculus.
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• ConjunctionruleforanypairofeventsAandBtheprobabilityoftheirconjunctioncanneverbehigherthantheprobabilityofanyofthemalone.
Pr(A∧B)≤Pr(A),Pr(B).
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• AccordingtoProb.Calc.theprobabilityoftheconjunctionofAandBcanneverbegreaterthantheprobabilityofanyofitsconjuncts
• examplestheprobabilitythatImetaFrenchmantodaycannotbesmallerthantheprobabilitythatImeetaFrenchmanwearingsunglasses;
• theprobabilitythatgoingoutfromthisbuildingwemeetaladywithadogcannotbelowerthantheprobabilitythatwemeetaladywithadogthatisalabrador).
• Whydopeopleanswerthat(b)(FT)ismoreprobablethan(a)(T)?• Whatheuristicscouldbethecauseoftheconjunctionfallacy,andwhy?• Doyouthinkthatthemorefrequentanswerisirrational,orcompletelywrong?• Ifnot,why?
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• Violationsofrationality• Psychology,philosophy,economy• Morewidespreadhypothesis:AvailabilityHeuristicsstrikesagain• Controversy:«Lindaindustry»
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Gigerenzer
Thelawisnotviolated,however,ifparticipantsinthesestudiesunderstandtheword“probability”inasensedifferentfromtheoneassignedtoitbymodernprobabilitytheory.ThereissimilarlynoviolationifBisinterpretedtomeanT∧¬F,orisinterpretedinanywayotherthanasaconjunctofT∧F.
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• “AccordingtoHertwigandGigerenzer(1999,p.278),subjectsareevenurgedtochooseanon-mathematicalinterpretationbecauseofPaulGrice’srelevancemaxim.Thismaximisaconversationalruleusuallytakentobefollowedbyparticipantsinadialogue.Itsays,roughly,thatone’scontributionshavetoberelevanttothetopicandgoaloftheconversation.Appliedtothecaseathand,thismeansthateverypartoftheexperimenters’instructionisrelevant.Onthemathematicalinterpretationof‘probable’,however,thedescriptionofLindaisirrelevanttothequestionsubjectsaresupposedtoanswer.Hence,peoplemightchooseareadingof‘probable’notcapturedbyprobabilitytheorybecause,otherwise,thepersonalitysketchhadtobeconsideredidle.”[MarkSiebel.”There’ssomethingaboutLinda”Siebel,Mark."There’ssomethingaboutLinda:Probability,coherenceandrationality."InFirstSalzburgworkshoponparadigmsofcognition,Salzburg.2002.]
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• Likelihoodvsprobability
• Pr(E|H)vsPr(H|E)
• ConfirmationvsProbability
(Crupi,tentorieRusso2013)
(Theportraitconfirms‘feminist’morethanbankteller)Thestorycontinues
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• Averyshortvisualbreak• Otherstatisticalfallacies:falseassociation
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False statistical associations http://www.tylervigen.com/spurious-correlations
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http://www.tylervigen.com/spurious-correlations
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http://www.tylervigen.com/spurious-correlations
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http://www.tylervigen.com/spurious-correlations
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• PartIICausalfallacies
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Causalfallaciesareinductivefallaciesthatresultinwrongcausaljudgements.manysubspecies‘posthocergopropterhoc’‘cumhocergopropterhoc’‘noncausaprocausa’apopularfallacyaboutafallacy–thetermisoftenusedasageneralizationovertheprecedingtwo,butthefallacyof‘noncausaprocausa’wasnotbornasaninductivefallacy,butasalogicalone.
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• ParadossodiSimpson
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Nel campione generale la proporzione di guariti tra chi prende la medicina è più alta della percentuale di guariti tra chi non prende la medicina. La med. sembra efficace
Popolaz. Guariti NonGuariti
Totale %guariti
Medicina 20 20 40 50%
NoMedicina
16 24 40 40%
36 44 80
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Tra le donne la proporzione di guarite tra chi prende la medicina è più bassa della percentuale di guarite tra chi non prende la medicina. La med. non sembra efficace
Femmine Guarite NonGuarite
Totale %guarite
Medicina 2 8 10 20%
NoMedicina
9 21 30 30%
11 29 40
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Tra i maschi la proporzione di guariti tra chi prende la medicina è più bassa della percentuale di guariti tra chi non prende la medicina. La med. non sembra efficace
Maschi Guariti NonGuariti
Totale %guariti
Medicina 18 12 30 60%
NoMedicina
7 3 10 70%
25 15 40
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Simpson’s paradox
Adrugisinactiveinthesub-populationsButlooksbeneficialwrtthewholepopulation
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Why?
DifferentproportionsanddimentionsManrecovernomatterhow(genderasconfounder)
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LagraduateschooldiBerkeleyfuaccusatadiattuareunapoliticadiammissionechediscriminavaledonne.Diconseguenza,siponevalaseguentequestione:‘IlfattodiessereunadonnaèrealmenteunacausadinonammissioneaBerkeley?’.L’accusaapparivafondatasullabasedeidatiprobabilistici:laprobabilitàdiessereaccettatieramoltopiùaltaperimaschidiquantononlofosseperlefemmine.Tuttavia,Bickel,HammeleO’Connell[...]esaminaronoidaticonmaggioreattenzioneescoprironochequestocessavadivalerequandoripartivano[leammissioni]perdipartimento.Nellamaggiorpartedegliottantacinquedipartimentilaprobabilitàcheunadonnafosseammessaeraesattamentelastessadiunuomo,edinalcunidipartimentieraaddiritturapiùalta.[Cartwright1983,p.37]
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Other inductive causal fallacies • “jumping”fromassociationsorfromtemporalsuccessionstocausalrelations.• cumhocergopropterhoc(constantconjunction)• everytimeMariocomestothepicnic,itrains;• posthocergopropterhoc• theroostercausesthesunrisebecauseitstartssingingjustbeforeit.• inversecausation• Scratchingisthecauseoftheitchingofmyhand• Selectionbias:• wetendtothinkthatsomeactivities,asbeinganOlympicswimmer,oraprofessionaldancer,haveaverystrongeffectonthephysicalconstitutionoftheswimmersorthedancers,withoutconsideringthatifonehasnotacertaintypeofphysicalconstitutionitisverydifficultthatheorshebecomesanOlympicswimmeroraprofessionaldancer.
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• mentendedtoapplytothedepartmentsthatarethehardesttogetinto
• mentendedtoapplytodepartmentsthatwereeasiertogetinto
• Sowomenwererejectedmorethanmen.