THE ELEMENTS OF PREDICTION

 

 

1)    MEASURABILITY OF OUTCOME

 

 4 obvious, clear

 

 3 discoverable and shared definition

 

 1 discoverable, but fluid or inconsistent

 

 0 not measurable/undiscoverable

 

2)    VANTAGE

 

 3 perspective view

 

 2 proxy view

 

 0 obstructed or no view

 

3)    IMMINENCE

 

 4 imminent

 

 2 foreseeable

 

 0 remote

 

4)    CONTEXT

 

 3 fully revealed

 

 0 concealed

 

5)    PRE-INCIDENT INDICATORS

 

 5 several, reliable, detectable

 

 3 few, reliable, detectable

 

 0 unreliable or undetectable

 

6)    EXPERIENCE

 

 5 extensive with both outcomes

 

 3 with both outcomes

 

 2 one outcome

 

 0 elemental/partial/irrelevant

 

7)    COMPARABLE EVENTS

 

 4 substantively comparable

 

 1 comparable

 

 0 not comparable

 

8)    OBJECTIVITY

 

 2 believes either outcome is possible

 

 0 believes only one outcome or neither outcome is possible

 

9)    INVESTMENT

 

 3 invested in outcome

 

 1 emotionally invested in outcome

 

 0 uninvested in outcome

 

10)   REPLICABILITY

 

 5 easily replicable

 

 2 replicable by sample or proxy

 

 0 impractical or not replicable

 

11)   KNOWLEDGE

 

 2 relevant & accurate

 

 0 partial or inaccurate

 

 

This scale helps determine if a given prediction can be made successfully (which is distinct from whether it will be made successfully). To evaluate a prediction, answer the eleven questions described in chapter 6 by selecting from the range of possible answers above. Then add up the total points.

 
22 or lower: Not reliably predictable; a matter of chance
23–27: Low likelihood of success
28–32: Predictable
32 or higher: Highly predictable
 

Note: The vantage question asks if the person making the prediction is in a position to observe the pre-incident indicators and context. If you can observe the situation and pre-incident indicators directly, then you have a Perspective View, but if you can only observe them through some medium (such as reports or other evidence), select Proxy View.

 

Following are some popular predictions, scored on the assumption that the person answering the question cares about the outcome and is as objective as possible:

 
WHO WILL WIN THE OSCAR?

(predicted by film historian, Rod Lurie)

 
22     mere chance
WILL A THREATENER WHO IS KNOWN AND IDENTIFIED SHOW UP IN THE PRESIDENT’S ENVIRONMENT WITH A WEAPON?

(predicted by Bryan Vosekuill and Robert Fein of the U.S. Secret Service)

 
33     highly predictable
WILL A GOOD FRIEND DEFAULT ON A LOAN?

(predicted by the lender, who frequently lends money to friends)

 
33     highly predictable
WILL THE DOG IN FRONT OF ME ATTACK ME?

(predicted by dog behavior experts, Jim and Leah Canino)

 
34     highly predictable
WILL A PUBLISHER BE INTERESTED IN A GIVEN BOOK IDEA?

(predicted by literary agent, Kathy Robbins)

 
37     highly predictable
HOW WILL A GIVEN BOOK SELL?

(predicted by editor Bill Phillips at the time of paying advance to author)

 
29     predictable
WILL A GIVEN GUEST DO WELL ON A TALK SHOW NEXT WEEK?

(predicted by Peter Lassally, executive producer of the Tonight Show starring Johnny Carson and the Late Show starring David Letterman)

 
30     predictable
WILL A GIVEN STAND-UP COMEDIAN DO WELL ON A TALK SHOW NEXT WEEK?

(predicted by Peter Lassally)

 
36     highly predictable

(This prediction ranks higher than that of a regular guest because we all share a common definition of what it means for a comedian to do well: The audience laughs. The definition of what it means for a regular guest to do well is more fluid—the audience could be informed, amused, or moved. This prediction also scores higher because a comedian’s performance can be replicated with another audience first.)

 
WILL THERE BE A MAJOR EARTHQUAKE IN LOS ANGELES THIS YEAR?

(predicted by geologist, Gregory Dern)

 
22     mere chance
WILL THE PLANE I AM ON CRASH?

(predicted by Tom Nolan, member “Million Mile Club” while flying smoothly cross-country)

 
24     low success prediction
WILL MY SIX-YEAR OLD LIKE A PARTICULAR FOOD?

(predicted by Lisa Gordon, parent)

 
34     highly predictable
WILL I QUIT SMOKING NEXT WEEK?

(predicted by a smoker who has quit in the past, but started again)

 
35     highly predictable
WHICH PASSENGER BOARDING A FLIGHT, IF ANY, WILL ATTEMPT TO HIJACK THE PLANE?

(predicted by the ticket agent)

 
19     mere chance
WHICH PERSON IN THE FRONT ROW, IF ANY, WILL LEAVE HIS SEAT AND TRY TO GET ON STAGE DURING A CONCERT?

(predicted during show by Jeff Marquart, professional bodyguard trained in “AMMO,” Audience Management, Monitoring, and Observation)

 
33     highly predictable
WILL A GIVEN EMPLOYEE WHO KNOWS HE IS TO BE FIRED GO ON A SHOOTING SPREE?

(predicted by David Batza, Director of TAM at Gavin de Becker, Incorporated)

 
35     highly predictable
WILL AN ABUSIVE HUSBAND ESCALATE HIS VIOLENCE WHEN HE LEARNS HIS WIFE HAS FILED FOR DIVORCE?

(predicted by his wife)

 
35     highly predictable
The Gift of Fear
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