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Chapter 8 Other applications(第1页)

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Chapter8Otherapplis

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&ionsofprobabilityawayfromdibling,andvariousaspeaturalsbeoverlooked.Inthischapter,Ihavepieofitsappearanlaw,soce,sport,andeiphasizeitsubiquity.Theeisthatdeakewilldependontheprobabilitiesofvariousoutes,sowehatleadtoreasonablyreliableestimatesofthosedifferentprobabilities.

&ers

Alth,o-knowhe20thtury,hadamathematicsdegree,fewlawyersfeelfortablewithprobability.Thisoughttobeastonishing,asphrasesrelatiareusedfreelyincivilcases,suchaslibel,tosay‘onthebalanceofprobabilities’clearlyputsthedividi50%.Butinalcases,whereajuryisaskedtolyiftheyare‘sure’ofGuilt,thereisnosusonafigure.Somepeoplewouldwishtovictiftheywere8uilt,otherswoulduse95%her.Theseareplaiiveprobabilities.Andalthoughthesamephraseisusedwhatevertheoffenelyalowerthresholdofproofforarelativelymihisakeithardertoassmurderersthanfaredodgers.

SupposeahattheDNAoftheaccusedmatAfoundatae,andthattheatthelatterandapersorandomisoneinseveralmillion.JurorsmayhavetwodistihisstatemeisthattheymaythinkthatitisequivalenttosayingthatthecetheeDNAisNOTthatofthedefendantisoneinseveralmilliohattheymaytreatallsuyfiguresasequivalehoughoenmilliondiffersfromoneinabillionbyafactorofahundred.

&errorhasbeeheProsecutor’sFallacy’.Starkly,itisequatingtheoaDNAmatch,totheatIhisislogise:theceivenafairroulettewheel,isnotthesameasthecethatthewheelisfair,giventhatzerooccurred.ThistrapbeavoidedbygivingthejuryaeofhowmamatchtheeDNA.ulationofaround60millioillihtbethirtyorso;ifitis1in20millihtbeaboutthree;itisuherearemorethanhalfadozen.Butdohephrase‘selectedatrandom’:themorecloserelativesthealhas,themorematcheswewouldexpect,thelessstrongthisevidetheaccused.

ThesederrorbestbeavoidedbyrememberinghowBayes’Rulemeasurestheusefulnessofanypieceofevidehisevideed,youhavesomeideaoftheoddsthattheaccusedisGuilty.IftheevideimesmorelikelyuhahentheoddsofGuiltgetmultipliedbytehatisthreetimesmorelikelyunderIhaheoddsbyafactorofthree,andsoon.WithDofteheceoftheevidengGuilt,is100%,whichmakestheimpactoftheevideheoddsofGuiltshouldbemultipliedbywhateverthe‘severalmilliouallyis.

Randomizedresponse

&eacherwishestoasortionofhissessmokeabis.Directquestionsareuoproducetruthfulaateownasrandomized responseisavailable.Themaitheteacherregtheaknowwhatquestionisactuallybeihatabisusersareabletoahidentified.

Thewords‘Ismokeabis’arewrittenoneachof80d‘Idonotsmokeabis’onanother20.Eachcardisplaidentivelope,these100envelopesaremixedthhlyihestudentsshouldseethisoperationbeitheyknowthatthebagsbothversioion,andiions.

&sora,readsthequestiontoherself,andsimplysayseither‘Agree’ree’.Shethecardbatheeurothebag,ahebagupreadyforthe.

Supposethatohirdoftherespree’.Becausethestudentsarepigtheerandom,‘Agree’isthehoresponsefrom80%ofusers,and20%ofnon-users.Afewlinesofalgebrashowthatthisistwith29ofthestudentsbeiheheadteacherhashisanswer,noindividualstudeified.

&ively,replaokeabis’withaquestionoedsubject,forwhichtheproportionof‘Agree’answersisknorevioussurveyhasestablishedthathalfthestudentsoet,andthereisoli-owningwithabissmokiementon20cardscouldbe‘Ioet’.Thehirdoftherespree’,weestimatethat724ofthestudentsareusers.

&ionsgiviesareintheAppendix.

&aintyastowhichquestionisbeiimeleadstosomeimprethefie.Theproportiohattheseionshouldbeashighaspossible,butlowenenuineabisuserstobelievethatgivianswerwillnothaverepers.Puttiivequestiononasmanyas95%ofthepostcardswouldnotwork.

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TheingAgeopromotesportasahealthyactivity,byidentifyiakeperformangdrugs,andexgthemfrompetitions.Butwhatevermethodsareused,aingprogrammeisliabletotwoopposingtypesoferror:gthataeisusingdrugswhe,andpassingaeastheyareadruguser.

Uhtheakiypeoferrorofteoiheceoftheother.Forexample,oheratiooftestosteroerohebodynormallyproducesthesesubstanfairlyequalamounts,butthoseathleteswhoseektocheatbyiestosteronewillhaveahighTEratio.Athleteswhoseratioisabovesomespecifiedamount,saysixtoone,willbebaheTEratiovariesnaturally:itenstrualcycle,itwillincreaseifyoucatchflu.SetthecriticalTEratiotoohighandncheatwillfailit;setittoolow,andmaeswillbewronglyaccused.

Supposethecethataparticulartestmakesamistakeis1%.Thatmeansthatiftheathleteisihecetheyfailis1%,iftheyareusersthecetheypassisalso1%.Samfailsthetest:whatisthecesheisi?

Putlikethat,thetemptationtosay‘1%’l–thistestgetsthingswroimeinahundred,soifitsaysshehasfailed,thatwillbewroimeithistemptation.Theonlyvalidansweris‘Wedonotknow.Itcouldbeanyfigure.Weokithepopulation.’

For,supposethatproportionis1%orso.Thenamong10,000athletesweexpect1d9,900iestijustcheattopass,leaving99whofail.But1%ofthe9,900is,i.e.ahletes,willalsofailthetest.Amongthosewhofail, halfareiheceSamisiwouldbe50%.

Iftheproportiosdiffersfrom1%,thisges.Ifitishigher,thecethatSamisiwillbeless,butifitislower,herocewillbeevehelowertheproporticheats,thelesssatisfactoryisthistest,despiteitsapparentlyimpressiveperformance.

Thissamelogicapplieswhenwesiderhowtodetetialterroristsatairports.Whateversgdevicesareused,theyotbeperfect,butsupposethattheprobabilityarealterroristevadesthesechey,110,000,whiletheipersonisledawayforierrogationisaminuscule1100,000.Howlikelyisitthatsomeoisguilty?

&aionwithouthavingsomeideaoftheproportionofwould-bepassengerswhoareterrorists.Tryoneinamillilyhigh,givehrowhaymillionpassehefiguresassureusthat,evenwithfiftypotes,itislylikelythatallwillbedetected.

Unfortunately,fivehundredipassengerswillalsobedetained!Amooppedbythissystem,fewerthaerrorists.Andiftherearefewerthas,theeonewhoisstoppedisiyiseveiohodsmusthavemuchbetterperfuresiftheyaretobeuseful.

Footballresults(1)

&isofsoccermateratesasubstaheUK.Allsortsofexotibemade–ohefirstthrow-iheshirtnumberswornbyallthegoal-sanyredandyellowcardswillbe?ourishedduringthegame–butmostiisonwhichofthethreeresults,Homeaywin,willoccur.Arationalpunterwillassesstherespectiveprobabilitiesoftheseresults,andhisdewhethertobet,andhowmuch,willrestontheseassessmehepayoutpricesofferedbythebookies.

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