Traps and Biases+steps+mitigation

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25 Terms

1
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Rush to solve

Steps 1,2

solve wrong problem

2
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Decision Trigger

Steps 1,2

Alternatives that blind us from “real prob” (limits options)

3
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Means to an end

Steps 1,2

Confuse means w/ real goal

4
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Frozen Frames

Steps 1,2

1.Acnoledge frame, 2. articulate current frame, 3. Challenge frame, 4. Ask for other views, 5. Proactive framing (generate new frames)

(Hanlons razor)

5
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SALY

Step 3

Label SALY solutions

6
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Zombie Alternative

Step 3

Consider 1. Problem not properly defined, 2. Person needs to feel heard, 3. Idea is good= more consideration, 4. Idea person doesn’t respact others, 5. person doesn’t understand idea is bad

Alternative Idea that won’t die

7
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Idea production Blocking

Step 3

Clustering

8
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Evaluation Apprehension

Step 3

Clustering

9
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WYSIATI

Step 4

10
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Info Overload

Step 4

Refer back to steps 1,2 why data is needed? Do you have enough?

Opposite of WYSIATI

11
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Intuitive Statistition

Step 4

Use statistical tools

Human brain bad statitition

12
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Gamblers fallacy

Step 4

Use statistical tools

Part of intuitive statitition, “correct” random by opposite future

13
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Hot Hand Fallacy

Step 4

Use statistical tools

See patterns where not (part of intuitive statitition)

14
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Ego Depletion

Step 5

Don’t make big decisions when depleted

15
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Paralysis by analysis

Step 5

Keep analyzing w/o conclusion

16
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Conformity

Step 5

reach consensus when some of group don’t agree

17
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Surrogation

Step 5

Use multiple performance metrics, Involve others in strategic decision making

Measure becomes goal

18
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Historians fallacy

Step 6

Evaluating process soley on outcome

19
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Availability Shortcut

Steps 1-4

  1. Awareness, 2. Make opposing case, consult, use objective data

20
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Primary Bias

Steps 1-4

What we see/learn first

21
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Recency bias

Steps 1-4

Overweight what we learned recently

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REPRESENTATIVENESS BIAS

Steps 1-4

tend to judge the likelihood of an

event’s occurrence by the degree to which

their perception resembles the data.

(Religious vs religious and active)

(president look)

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Overconfidence BIas

Steps 3-6

  1. Awareness, challenge estimates, pre mortem thinking

Don’t acnoledge uncertainty (nile river)

24
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Anchoring

Steps 4-6(number)

Don’t look at outcomes before making predictions

Using number too heavily

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Curse of knoledge

Steps 4-6(no number required)

Don’t look at outcomes before making predictions

(like anchor but can be more than numbers)

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