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Slide 1 Brookings Institution Decision Making Traps Presented by: Paul J. H. Schoemaker, Ph.D. Tel. 610 - 525 - 0495 www.thinkdsi.com E-mail: [email protected]

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Page 1: Decision Making Traps - Brookings · PDF fileSlide 1 Brookings Institution Decision Making Traps Presented by: ... • Are we solving the right problem? • What are our implicit assumptions?

Slide 1

Brookings Institution

Decision Making Traps

Presented by:Paul J. H. Schoemaker, Ph.D.

Tel. 610 - 525 - 0495 www.thinkdsi.com

E-mail: [email protected]

Page 2: Decision Making Traps - Brookings · PDF fileSlide 1 Brookings Institution Decision Making Traps Presented by: ... • Are we solving the right problem? • What are our implicit assumptions?

Gathering Intelligence

Coming to Conclusions

Learning from Experience

Making the Metadecision(How we make decisions)

The Decision Process

Framing the

Issues

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Slide 3

Step One

Frame it Right

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Slide 4

Definition of Framing

• Defining what must be decided• Structuring and focusing the question• Narrowing or expanding the issues• Determining the criteria that will cause you

to prefer one option over another• Being sensitive to the perspective taken

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Slide 5

Try to Remember

• The next slide contains three cards

• They will be shown very briefly (3 secs)

• Just try to remember what the cards are

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Slide 6

Remember These Three Cards

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Slide 7

Was One of the Cards

• A King of Clubs?

• A Ten of Diamonds?

• A Jack of Hearts?

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Slide 8

These Were the Three Cards

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Slide 9

Mental BoundariesReference PointsYardsticks and MetricsMental ImageryHighlights and Shadows

Elements of A Frame

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Slide 10

Situation X: Imagine you have decided to see a play and bought a ticket costing $100. You are about to enter the theater building and discover that somehow you have lost the ticket. The seat was not marked, you have no receipt and the ticket cannot be recovered or replaced in any way. Would you buy a new ticket for $100?

Will You See the Play?

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Slide 11

Situation Y: Imagine you have decided to see a play where admission is $100 per ticket. As you enter the theater to buy your ticket you discover that you somehow lost a $100 bill from your wallet. Would you still pay $100 for a ticket to see the play?

Will You See the Play?

Page 12: Decision Making Traps - Brookings · PDF fileSlide 1 Brookings Institution Decision Making Traps Presented by: ... • Are we solving the right problem? • What are our implicit assumptions?

Slide 12

GM’s Frame (circa 1968)

• GM is in the business of making money, not cars• Success is the result of rapid adaptation, not

technological leadership• Cars are primarily status symbols: people want to

upgrade• The U.S. car market is isolated from the rest of the

world• Fuel will remain cheap and abundant• The government is an enemy and so are unions

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Slide 13

Suppose that you are the head of a large manufacturing division belonging to a Fortune 500 company. Due to structural changes in the economy that seem irreversible, this division’s factories are threatened with a partial, and possibly a complete, shutdown. They currently employ 600 workers. Your staff has identified the following two options.

Factory Closing Problem

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Slide 14

If Alternative A is pursued, exactly 200 jobs will be saved.

If Alternative B is adopted, there is a one-third chance that 600 jobs will be saved and a two-thirds chance that zero jobs will be saved.

Which alternative do you choose? A or B

You Have Two Options

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Slide 15

If Alternative A is pursued, exactly 400 jobs will be lost.

If Alternative B is adopted, there is a one-third chance that no jobs will be lost and a two-thirds chance that 600 jobs will be lost.

Which alternative do you choose? A or B

Factory Closing Version II

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Slide 16

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Slide 17

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Slide 18

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Slide 19

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Slide 20

Key Framing Questions to Ask• Are we solving the right problem?• What are our implicit assumptions? • How might others frame the issues?• Are their links to other issues/concerns?• How do we define and measure success?• What constraints are we imposing?• Can we find other, more creative, options?• Who else should be or get involved?

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Slide 21

Step Two

Gather the Right Intelligence

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Slide 22

Overconfidence in our Judgment

Overweighing the Available Information

Anchoring Your Estimates Too Much

Looking for Confirming Evidence

Intelligence Gathering Traps

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Slide 23

“What do you mean ‘Your guess is as good as mine’?My guess is a hell of a lot better than your guess!”

(Source: Gary Larson, The Farside Gallery Chronicle Publishing Co., 1980)

Overconfidence Defined

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Slide 24

“That idea is so damned nonsensical and impossible that I’m willing to stand on the bridge of a battleship while that nitwit tries to hit me from the air.”

Newton D. Baker

U.S. Secretary of War, 1921

Can Airplanes Sink Ships?

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Slide 25

On the Wrong Wave-Length?

““We don’t like theirWe don’t like their sound, groups of sound, groups of

guitars are on their guitars are on their way out.”way out.”

--Decca Recording Decca Recording Company exec. Company exec.

Turning down The Turning down The Beatles in 1962Beatles in 1962

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Slide 26

’’

‘‘

’’

They Believed It

Heavier-than-air flying machines are impossible

Lord Kelvin (British mathematician, physicist and President of the British Royal Society), c. 1895

With over 50 foreign cars already on sale here, the Japanese auto industry isn’t likely to carve out a big slice of the U.S. market for itself.

Business Week, August 2, 1968.

A severe depression like that of 1920-1921 is outside the range of probability.

The Harvard Economic Society, November 16, 1929.There is no reason for any

individual to have a computer in their home.

Ken Olson, President of Digital Equipment Corporation, 1977.

I think there is a world market for about five computers

Chairman of IBM, 1943.Thomas J. Watson,

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Slide 27

Best

Guess

Are You Overconfident?For each of the questions, enter a range (low and high boundaries) for which you are 90% confident you are correct

Low

Guess

High

Guess

90% Confidence Range

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Slide 28

First Five Questions

Q1. Length of the Nile river (in miles or km)?

Q2. Year in which John Steinbeck won the Nobel Prize for literature?

Q3. Average gestation period (in days) of female Asian elephant?

Q4. What was the level of the Down Jones Industrial Average on July 1, 1985?

Q5. How old was Martin Luther King when he was assassinated?

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Slide 29

The Answers

Q1. 4,187 miles or 6,699 km

Q2. Year: 1962

Q3. 645 days

Q4. Dow was 1337

Q5. 39 years old

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Slide 30

A. Stroke (Press 1)

All accidents (Press 2)

B. Lung cancer (Press 1)

Motor vehicle accidents (Press 2)

C. Emphysema (Press 1)

Homicide (Press 2)

Which Kills More People Annually in the USA?

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Slide 31

ACTUAL, PERCEIVED & REPORTED FREQUENCIES

ANNUAL PEOPLE’S NEWSPAPERU.S. TOTAL ESTIMATE REPORTS

CAUSES OF DEATH (IN 1000’s) (IN 1000’s) PER YEAR

Stroke 209 7 8Accidents (All) 112 89 276

Lung Cancer 76 10 3Motor Vehicle Accident 55 41 136

Emphysema 22 3 1Homicide 19 6 264

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Slide 32

Anchoring Bias

Making Estimations by Adjusting Awayfrom a Convenient Starting Point

Anchor Target

This Year’sBudget

Next Year’sBudget

X

Problem = Insufficient Adjustment

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Slide 33

Clueless Anchors

0

200

400

600

800

1000

1200

0 to 199 200-399 400-599 600-799 800-1000

Estimate of Year of Attila’s Defeat

Range of Random Starting Points

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Slide 34

Key Intelligence Questions to Ask

• What don’t we know that we should and can?

• Where might we be overconfident or anchored?

• Is some of our information slanted or biased?

• What are the major unknowables in this situation?

• Should we use range estimates or develop scenarios?

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Slide 35

Actual IntendedTime Time

The Four Phases Allocation Allocation

Framing 5% 20%

Intelligence-Gathering 45% 35%

Coming to Conclusions 40% 25%

Learning Focus 10% 20%

Changing Your Habits