Representativeness—Review

Managerial Decision Making: Session 6 ƒ Definition: How likely event X belongs to set Y is judged on the basis of how similar X is to the Classic Heuristics: stereotype of Y Representativeness (continued) and Availability ƒ Linda’s description and occupation (X) seems to be the stereotype of © Kent L. Womack, 2003, all rights reserved. “feminist bank teller” (Y) ? Please do not share outside of the Tuck community without permission.

Representativeness Causal thinking

ƒ Local Representativeness ƒ Suppose we wanted to estimate the – We assume small and large samples have similar conditional probability P( X | Datum ). Let X = properties; we don’t understand “random” is streaky the event that Tom gets a job offer with ƒ Gambler’s Fidelity – We think things should even out, even in the short run ƒ Three types of data: ƒ Regression to the Mean – D1 : Tom has a good first interview with Fidelity. A – We “misread” outliers as new trend, rather than causal datum: D1 Î X considering what should be the “most likely” next – D2: Tom goes to work for an investment firm. A observation diagnostic datum: X Î D2 ƒ Non-Regressive Predictions – D3: Fidelity makes 5 offers to Chicago MBAs. An – We overuse (not so valuable) data ‘because it is there’; we incidental datum don’t ask, like we should, “how predictive should this data be?” ƒ What do decision makers typically use?

causal thinking Causal thinking

ƒ Three types of data: ƒ Causal Data: Heuristic and – D1 : Tom has a good first interview with Fidelity. A causal datum: D1 Î X ƒ When evidence has both causal – D2: Tom goes to work for an investment firm. A diagnostic datum: X Î D2 and diagnostic significance, – D3: Fidelity makes 5 offers to Chicago MBAs. people tend to overemphasize An incidental datum the causal impact for the future ƒ Key Points: and underestimate the – Causal data have greater impact on diagnostic implications about the judgments than diagnostic data past. – Incidental data are ignored if they lack a causal interpretation – be less trusting of causal data! Is there a “” in sports?

ƒ"If I’m on, I find that confidence just builds . . .you feel nobody can stop you. It's important to hit that first one, especially if it's a swish. Then you hit another, and . . . You feel like you can do anything." –World B. Free To video

Philadelphia 76ers, 1980-81 Why does belief in the Hot Hand persist? ƒ Conditional probabilities . . . relevant? ƒ “Theories” exist that confidence affects performance . . . ƒ A wider common-sense conviction that . . . – “Success breeds success” – “Failure breeds failure” ƒ True in some realms but not others – Which ones?

Why does belief in the Hot Hand persist? Why does belief in the Hot Hand persist?

ƒ Easy to find real conviction . . . ƒ Nature abhors a vacuum . . . – Spinoza (1677) ƒ Experts and their responses . . . – Red Auerbach, “Who is this guy? So he makes ƒ World does not “play fair”. We get a study. I couldn’t care less.” messy data – Bobby Knight, “there are so many variables – Incomplete, random, unrepresentative, ambiguous, inconsistent, secondhand . . . involved in shooting the basketball that a paper like this really doesn’t mean anything.” ƒ We are looking for patterns that make causal sense . . . – Flawed rationality The Hot Hand: the main point In-class Quiz

ƒ An alternate (and simpler?) ƒ Consider a typical front page explanation . . . from The New York Times – Randomness simply looks streakier than we think it does – We attribute “the hot hand” to confidence or ƒ What percentage of the words on a ???, but evidence simply suggests that is misattribution typical front page have “n” as the next to last letter? Simply guess. – Write down a % from 0 to 100 ______

In-class Quiz letters of the alphabet

ƒ Quiz: Consider all words with 3 or more letters. ƒ Consider a typical front page Is the letter R (or, K, L, N, V) more likely to from The New York Times appear in the first position or the third? ƒ My estimate of the ratio of these 1st to 3rd positions is ______. ƒ What percentage of the words on a ƒ Answer: 105 of 152 subjects judged the first position to be more likely for a majority of the typical front page have “ing” as the letters last 3 letters? Simply guess. ƒ The median estimated ratio was 2:1 for each – Write down a % from 0 to 100 ______of the 5 letters. ƒ A Storage Bias . . .

Tuck 2002 cell phone ownership

ƒ Yesterday's Quiz: Do you own a cellular phone? – Answered "YES" or "NO“ “Why you looking here?” ƒ Let ? = "What is the percentage of Tuck students who own cellular phones?" – Actual Ownership: N= 51 53% of Tuckies ƒ Those who answered "NO": – N = 24 Prob (? | "NO") = 28.7% ƒ Those who answered "YES": – N = 24 Prob (? | "YES") = 47.1% ƒ Yes, this is a statistically significant difference Quiz: from a former student

ƒ How many deaths worldwide each year from “being killed by shark”?

ƒ How many deaths worldwide each year from “being killed by falling airplane parts”?

ƒ 30x more from “airplane parts”

Quiz: Classic Heuristic #2: Availability

ƒ How many homicides in the US each ƒ Definition: when judging how likely year? something is, the probability is estimated by the ease with which instances or associations can be ƒ How many suicides in the US each brought to mind. year? ƒ Bias: can occur when “availability” (ease of recall) and true frequency ƒ 2x more by suicide diverge

Availability Biases Availability biases

ƒ 1. A pollster who asks a of American ƒ 2. A Notre Dame alumnus confides to a adults to estimate the percentage of the friend, “Did you ever notice how many Notre work force who are currently unemployed. Dame alumni become famous or important? Look anywhere—politics, sports, ƒ They finds an “egocentric” bias. i.e. Hollywood, big business, the arts, even currently unemployed workers tend to crooks! I couldn’t guess the exact figures, overestimate the rate of unemployment, but but I bet we Irish have far more than our currently employed workers tend to share on just about any list in Who’s Who.” underestimate it. ƒ Why? ƒ Why? ƒ and Storage biases . . . ƒ Sampling bias . . . Others? what share do you do? vividness

ƒ Couples were asked what share of certain ƒ Volvo example: activities each partner does, e.g., dishes, cooking starting fights . . ƒ Borgida and Nisbett (1977)— ƒ Results: testimonials vs. data. – Total shares add up to more than 100% ƒ Basketball team members were asked: – a. What was the turning point of the game? – b. Our team won/lost because . . . ƒ Results ƒ The Legal Significance of Guacamole – a. 119 “own team”, 13 “both teams”, 16 “other team” answers – Why was guacamole of decision-making – b. 144 of 158 picked an action by own team value?

Why does belief in the Hot Hand persist? Believing in myth . . .

ƒ What stands out at a Basketball ƒ Adoption increases a couple’s game? fertility ƒ Streaks . . ..!!!!!! ƒ More babies are born when the moon ƒ B-Ballers DO shoot in streaks!!!!, but is full . . . not more so that the laws of chance predict!!!!! ƒ More people believe in ESP than – Lute Olsen’s justification (proof of hot hand!) of his player making six 3-pointers in a row . . . – But, we remember more of them, they are more easily AVAILABLE to us

Availability : Why is it a Bias? availability—themes? How do I “fix” it? ƒ Definition: when judging how likely ƒ What is most available may or may not something is, the probability is be representative of all the information estimated by the ease with which instances can be brought to mind. – Ask: How might it be un-representative? – Ask: Is the information I have the info I really ƒ Fixes? want? ƒ Retrievability: What is most memorable is not the same as what is most accurate or valuable – Ask: How might it be un-representative? Future MDM agenda Plan for Week 4:

ƒ Next week: another classic heuristic ƒ Survey #4 . . . AND social heuristics – Expect one on Wednesday . . . – Read the book Influence ƒ Post-class readings: after today, – Again, there will be a paper to read after the please read the 3 papers assigned. class. They are high quality. ƒ There are three papers to read now that we have talked about Representativeness and Availability. – In the course packet.

Long-term reminders . . . MDM: Key Concepts so far

Satisficing ƒ For those with final-exam-phobia, Heuristics another option is to write a paper on a decision-making disaster Availability – See syllabus . . . Representativeness

– Other options too . . . Analysis ⇒ Good DM Intuition ƒ For the Bad Statistics Contest, I have Base Rates Process one entry . . .

Probability 1. Framing 2.Gathering Conditional Pr Info 3. Deciding & Bayesian Updating