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© 2010 The MITRE Corporation. All rights reserved. Prediction Markets: Do They Improve Risk Management? Jon Schuler MITRE Corporation [email protected] 703-983-3884 22 September 2010

Prediction Markets: Do They Improve Risk …100 200 300 400 500 600 700 800 0 10 20 RiskNav activity for Program5 from 09-Jun-2008 to 01-Sep-2010 daily 0 100 200 300 400 500 600 700

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Page 1: Prediction Markets: Do They Improve Risk …100 200 300 400 500 600 700 800 0 10 20 RiskNav activity for Program5 from 09-Jun-2008 to 01-Sep-2010 daily 0 100 200 300 400 500 600 700

© 2010 The MITRE Corporation. All rights reserved.

Prediction Markets:Do They Improve Risk Management?

Jon SchulerMITRE [email protected] September 2010

mastro
Text Box
Approved for Public Release; Distribution Unlimited Case # 10-3686
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© 2010 The MITRE Corporation. All rights reserved.

■ Introduced an InklingTM prediction market to the USAF■ Generic questions:

– “Will the New England Patriots sign Terrell Owens by the start of the 2010 NFL season? “

– “Will both BP and U.S. Government sources officially report no more oil is leaking from the Deepwater Horizon well by July 1, 2010?

■ Acquisition-program specific questions:– “Will Predator platforms adopt the Program2 Rev B specs?”– “Will any of the load-balancing, multi-path TRILL boxes tested

at last month's UNH Interop lab appear in an USAF Advanced Technology Demonstration by Spring 2011?”

– “Which of following Spectrum bands will Program2 be approved for use by Jan 2011”

What we did:

Page 2

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© 2010 The MITRE Corporation. All rights reserved.

“What’s a prediction market good for?”

Page 3

Improve dialogue withinacquisition team

Lets people offer “reprisal-free” feedback

Foster diversity of viewpointsinto analysis

Etc. etc etc.

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© 2010 The MITRE Corporation. All rights reserved.

■ Pre-existing risk-management process already in place– MITRE provides on-site support to the USAF– Established process that identifies, enunciates, quantifies, and

mitigates acquisition risks– 14 acquisition programs; various levels of activity

■ 2+ years data logged in RiskNav software– Front-end: web-based interface

■ Enter/modify assessments. Provide summary display– Back-end: Microsoft Access database– Primary use: characterize current state– Mining DB change-logs can extract a historical record

Can we clinically measure that?

Page 4

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© 2010 The MITRE Corporation. All rights reserved.

Page 5

Prediction Market Analysis Framework

People

PredictionMarket

Acquisition ProgramRisk Management

Infer Influence

RiskNavanalysis

Prediction Marketanalysis

Page 6: Prediction Markets: Do They Improve Risk …100 200 300 400 500 600 700 800 0 10 20 RiskNav activity for Program5 from 09-Jun-2008 to 01-Sep-2010 daily 0 100 200 300 400 500 600 700

© 2010 The MITRE Corporation. All rights reserved.

Page 6

‘Treatment Effects’ we would expect to see

■ Is there an increase in the overall database activity?■ Is there an increase in the rate of newly identified risks?■ Are new risks identified earlier from their event-horizon?■ Do risks get mitigated or closed more quickly?

PredictionMarket

Acquisition ProgramRisk Management

RiskNavanalysis

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© 2010 The MITRE Corporation. All rights reserved.

■ Special Note:– This doesn’t analyze the prediction market itself; we just

assume that one took place beginning June 2010– This analyzes project risk-management activity, comparing 2

months before with 2 months after the prediction market began

Event timeline under analysis

Page 7

April-May June July-Aug

2010

Base Period Test Period

Inkling outreach/invitationsto USAF

1 June 2010

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© 2010 The MITRE Corporation. All rights reserved.

Database activity over time

Page 8

0 100 200 300 400 500 600 700 8000

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© 2010 The MITRE Corporation. All rights reserved.

Database activity over time

Page 9

0 100 200 300 400 500 600 700 8000

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20

RiskNav activity for Program5 from 09-Jun-2008 to 01-Sep-2010

daily

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ct-2008-N

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ar-2009-Apr-2009-M

ay-2009-Jun-2009-Jul-2009-Aug-2009-Sep-2009-O

ct-2009-N

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© 2010 The MITRE Corporation. All rights reserved.

■ April-May updates: 246 (Baseline)■ July-Aug updates: 381 (Test period)

Program1 update activity

Page 10

April-May July-AugJune

0 100 200 300 400 500 600 700 8000

100

200

300RiskNav activity for Program1 from 09-Jun-2008 to 01-Sep-2010

daily

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pr-2009-M

ay-2009-Jun-2009-Jul-2009-A

ug-2009-S

ep-2009-O

ct-2009-N

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ar-2010-A

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ug-2010

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0 50 100 1500

10

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RiskNav activity for Program1 from 01-Apr-2010 to 31-Aug-2010

upda

tes

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© 2010 The MITRE Corporation. All rights reserved.

■ April-May updates: 246 (Baseline)■ July-Aug updates: 381 (Test period)

Program1 update activity

Page 11

O.K….I can see an increase in activity but is that increase significant?

April-May July-AugJune0 50 100 150

0

10

20

30

40

50

60

RiskNav activity for Program1 from 01-Apr-2010 to 31-Aug-2010

upda

tes

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© 2010 The MITRE Corporation. All rights reserved.

■ Pick 62 days at random (with replacement) from baseline period– Tally up the total number of database updates observed in re-sample

Bootstrap re-sampling of baseline (Apr-May) data

Page 12

April-May July-AugJune0 50 100 150

0

10

20

30

40

50

60

RiskNav activity for Program1 from 01-Apr-2010 to 31-Aug-2010

upda

tes

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© 2010 The MITRE Corporation. All rights reserved.

■ Pick 62 days at random (with replacement) from baseline period– Tally up the total number of database updates observed in re-sample

■ Repeat a few thousand times; build empirical distribution

■ 1-sided hypothesis test– If we see 377 or more RiskNav updates in 62 days, we can ascribe this

increase to the Prediction Market…at the 5% chance this could have otherwise occurred ‘naturally’

Bootstrap re-sampling of baseline (Apr-May) data

Page 13

0 100 200 300 400 500 6000

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1bootstrap distribution of #RiskNav updates over a 62-day period

50 100 150 200 250 300 350 400 450 500 5500

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.05 p-value occurs after 377 updates in 62 days

246 baseline

updates381 test period

updates

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© 2010 The MITRE Corporation. All rights reserved.

■ Corresponding bootstrap analysis: how many new risks must we see in a 62-day period?

■ Concluding answer: need to see 17+ new risks

Examine the rate of newly identified risks

Page 14

0 5 10 15 20 25 30 350

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1bootstrap distribution of #RiskNav updates over a 62-day period

0 5 10 15 20 25 300

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.05 p-value occurs after 17 updates in 62 days

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New Risks for Program1 from 09-Jun-2008 to 01-Sep-2010

daily

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-Jul-2008

-Aug-2008

-Sep-2008

-Oct-2008

-Nov-2008

-Dec-2008

-Jan-2009

-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009

-Jul-2009

-Aug-2009

-Sep-2009

-Oct-2009

-Nov-2009

-Dec-2009

-Jan-2010

-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010

-Jul-2010

-Aug-2010

30-d

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© 2010 The MITRE Corporation. All rights reserved.

■ April-May new risks: 11 (Baseline)■ July-Aug new risks: 17 (Test period)

Program1 new risks

Page 15

O.K….I can see an increase in activity, and it is statistically anomalous

April-May July-AugJune0 50 100 150

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5

5.5RiskNav activity for Program1 from 01-Apr-2010 to 31-Aug-2010

upda

tes

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© 2010 The MITRE Corporation. All rights reserved.

Risk Management Update New # Observed Updates # Observed New RisksProcess Maturity Program Activity Risks Baseline Test .05 Level p-value Baseline Test .05 Level p-valueSelf-Generating Program1 Y Y 246 381 376 0.044 11 17 17 0.047

Program2 * Y 258 117 377 0.991 6 8 6 0.003

Program3 ** 162 145 246 0.635 3 0 3 0.640Stimulus Driven Program4 Y Y 100 222 173 0.003 0 5 0 0.000

Program5 24 8 52 0.839 1 0 3 0.646Program6 Y 8 21 20 0.027 3 0 0 0.000Program7 63 56 132 0.541 2 1 7 0.738

Program8 Y Y 10 30 24 0.012 0 2 0 0.000Initiating Program9 0 0 0 0.000 0 0 0

Program10 Y 0 20 0 0.000 0 3 0 0.000

Program11 46 1 117 0.967 3 0 7 0.870Inactive Program12 0 0 0 0 0 0

Program13 0 0 0 0 0 0

Program14 0 0 0 0 0 0

Update & New Risk activity for all programs

Page 16

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© 2010 The MITRE Corporation. All rights reserved.

■ 4 types of risk-management cultures observed in the 14 programs– Self-generating - routine updates on a

consistent basis with no evident stimulus

– Stimulus Driven – periodic updates as the result of external events (e.g. PMRs, risk meetings, risk team interactions)

– Initiating – programs initializing a risk management process or use of the tool

– Inactive – programs no longer actively managing risks

Let’s break this down into something simpler

Page 17

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RiskNav activity for Program1 from 09-Jun-2008 to 01-Sep-2010

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RiskNav activity for Program5 from 09-Jun-2008 to 01-Sep-2010

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RiskNav activity for Program11 from 09-Jun-2008 to 01-Sep-2010

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RiskNav activity for Program13 from 09-Jun-2008 to 01-Sep-2010

daily

Page 18: Prediction Markets: Do They Improve Risk …100 200 300 400 500 600 700 800 0 10 20 RiskNav activity for Program5 from 09-Jun-2008 to 01-Sep-2010 daily 0 100 200 300 400 500 600 700

© 2010 The MITRE Corporation. All rights reserved.

■ Look at the #days between database entries■ Kruskal-Wallace rank-based 1-way ANOVA tells demarks

programs by significantly different median inter-arrival times

You can distinguish programs rigorously…

Page 18

0

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200

Pro

gram

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Program8

Program14

Program7Program13

Program3

Program4

Program11

Program6

Program5

Program9

Program2

Program12

Program1

Click on the group you want to test

3 groups have mean ranks significantly different from BACN JUON

Page 19: Prediction Markets: Do They Improve Risk …100 200 300 400 500 600 700 800 0 10 20 RiskNav activity for Program5 from 09-Jun-2008 to 01-Sep-2010 daily 0 100 200 300 400 500 600 700

© 2010 The MITRE Corporation. All rights reserved.

■ Treatment effect concentrated in programs with self-generating risk dialogues– *Program2: just coming on-line to

RiskNav– **Program3: Experienced program

cuts in Aug.■ Treatment effect in stimulus driven

is observed but discounted – Sufficiently large variability in

sparse updates

Actionable summary

Page 19

Risk Management Update NewProcess Maturity Program Activity RisksSelf-Generating Program1 Y Y

Program2 * YProgram3 **

Stimulus-Driven Program4 Y YProgram5Program6 YProgram7Program8 Y Y

Initiating Program9Program10 YProgram11

Inactive Program12Program13Program14

Page 20: Prediction Markets: Do They Improve Risk …100 200 300 400 500 600 700 800 0 10 20 RiskNav activity for Program5 from 09-Jun-2008 to 01-Sep-2010 daily 0 100 200 300 400 500 600 700

© 2010 The MITRE Corporation. All rights reserved.

– Program transitioning into RiskNav tool– Abnormally high activity during baseline period.– Don’t see a treatment effect during test period in update activity– Do see a treatment effect for new risks

Program2 in more detail

Page 20

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60RiskNav activity for Program2 from 09-Jun-2008 to 01-Sep-2010

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© 2010 The MITRE Corporation. All rights reserved.

– Mission fundamentally re-evaluated during test period■ Program cuts August 2010

– Treatment effect is observed comparing {July} vs. {April-May}

Program3 in more detail

Page 21

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200400600800

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© 2010 The MITRE Corporation. All rights reserved.

– 100+ update day occurred in June– Had that stimulus-day occurred in May or July, would have

come to different conclusions– Need longer observation time to declare/deny treatment effect

Program4 in more detail

Page 22

0 100 200 300 400 500 600 700 8000

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150RiskNav activity for Program4 from 09-Jun-2008 to 01-Sep-2010

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© 2010 The MITRE Corporation. All rights reserved.

Page 23

‘Treatment Effects’ we would expect to see

■ Is there an increase in the overall database activity?■ Is there an increase the rate of newly identified risks?■ Are new risks identified earlier from their event-horizon?■ Do risks get mitigated or closed more quickly?

PredictionMarket

Acquisition ProgramRisk Management

RiskNavanalysis

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© 2010 The MITRE Corporation. All rights reserved.

■ Subset of new risks specified a lead time:■ Wilcoxon rank-sum test: Do two populations have equally

large values?– Insufficient data to draw any conclusion

Risk lead time

Page 24

Program #newRisks (base) #newRisks (test) medianImpactDays (base) medianImpactDays (test) Wilcoxon p-valueProgram1 10 13 109 82 0.120853576

Program12 0 0

Program2 3 1 476 42 0.5

Program9 0 0

IProgram10 0 3

Program5 1 1 24 101 1

Program6 0 0

Program11 3 6 112 175 0.547619048

Program4 0 7

Program3 1 0

Program13 0 0

Program7 2 1 161 95 1

Program14 0 0

Program8 0 4

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© 2010 The MITRE Corporation. All rights reserved.

■ Constructed Kaplan-Mier survival curves for new risks■ Log-Rank test determines if one population survives longer

than another– Insufficient data to declare closure times are shorter

Risk closures

Page 25

0 20 40 60 80 100 1200

0.2

0.4

0.6

0.8

1

LogRank test for difference in Kaplan-Meier survival function for Program1 between base and test period

Estim

ated

sur

viva

l fun

ctio

ns

Time

Treatment 1Treatment 2Censored

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© 2010 The MITRE Corporation. All rights reserved.

■ Seasonal adjustments– Insufficient RiskNav histories to make meaningful adjustments– Traditionally, July-August is a period of reduced work activity

■ We observe an increase in risk-management activity despite this

■ Connection with the Hawthorne effect– This analysis doesn’t focus on specific questions or derived

information – Improvements may be result of general employee feedback in a

prediction market

■ This work was exploratory research, not a randomized clinical trial– We cannot statistically rule out some other (non-prediction market)

effect going on here■ However

– This provides strong direction for future research inquiries– Analogous to passing ‘Phase-0’ trials in FDA approval process

Possible concerns with this analysis

Page 26

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© 2010 The MITRE Corporation. All rights reserved.

■ After introducing a prediction market to the USAF…– We observe enhanced risk management practices on programs

with self-generating risk identification and mitigation activity– We do not conclusively observe this effect on programs with

stimulus-driven risk management processes■ There was not enough data to evaluate whether prediction

markets would foster earlier risk identification or faster closure of risks

Conclusions

Page 27

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© 2010 The MITRE Corporation. All rights reserved.

Program Analysis DataUpdate Activity and New Risks

Page 28

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Program1

Page 29

Update Activity New Risks Identified

# Observed Base 246# Observed Test 381# at .05 Level 376p-value .044

# Observed Base 11# Observed Test 17# at .05 Level 17p-value .047

0 100 200 300 400 500 600 700 8000

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-Aug-2008

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-Dec-2008

-Jan-2009

-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009

-Jul-2009

-Aug-2009

-Sep-2009

-Oct-2009

-Nov-2009

-Dec-2009

-Jan-2010

-Feb-2010

-Mar-2010

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© 2010 The MITRE Corporation. All rights reserved.

Program2

Page 30

Update Activity New Risks Identified

# Observed Base 258# Observed Test 177# at .05 Level 377p-value .991

# Observed Base 3# Observed Test 8# at .05 Level 6p-value .003

0 100 200 300 400 500 600 700 8000

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ct-2009

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New Risks for Program2 from 09-Jun-2008 to 01-Sep-2010

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10

20

30-d

ay s

um

0

50-Jul-2008

-Aug-2008

-Sep-2008

-Oct-2008

-Nov-2008

-Dec-2008

-Jan-2009

-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009

-Jul-2009

-Aug-2009

-Sep-2009

-Oct-2009

-Nov-2009

-Dec-2009

-Jan-2010

-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010

-Jul-2010

-Aug-2010

30-d

ay b

oots

trap

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Program4

Page 31

Update Activity New Risks Identified

# Observed Base 100# Observed Test 222# at .05 Level 173p-value .003

# Observed Base 0# Observed Test 5# at .05 Level 0p-value .000

0 100 200 300 400 500 600 700 8000

50

100

150RiskNav activity for Program4 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

200

400

30-d

ay s

um

0

500

1000

-Jul-2008-A

ug-2008-S

ep-2008-O

ct-2008-N

ov-2008-D

ec-2008-Jan-2009-Feb-2009-M

ar-2009-A

pr-2009-M

ay-2009-Jun-2009-Jul-2009-A

ug-2009-S

ep-2009-O

ct-2009-N

ov-2009-D

ec-2009-Jan-2010-Feb-2010-M

ar-2010-A

pr-2010-M

ay-2010-Jun-2010-Jul-2010-A

ug-2010

30-d

ay b

oots

trap

0 100 200 300 400 500 600 700 8000

5

10

New Risks for Program4 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

10

20

30-d

ay s

um

0

20

40

60-Jul-2008

-Aug-2008

-Sep-2008

-Oct-2008

-Nov-2008

-Dec-2008

-Jan-2009

-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009

-Jul-2009

-Aug-2009

-Sep-2009

-Oct-2009

-Nov-2009

-Dec-2009

-Jan-2010

-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010

-Jul-2010

-Aug-2010

30-d

ay b

oots

trap

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© 2010 The MITRE Corporation. All rights reserved.

Program5

Page 32

Update Activity New Risks Identified

# Observed Base 24# Observed Test 8# at .05 Level 52p-value .839

# Observed Base 1# Observed Test 0# at .05 Level 3p-value ..636

0 100 200 300 400 500 600 700 8000

10

20

RiskNav activity for Program5 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

20

40

60

30-d

ay s

um

0

50

100

150

-Jul-2008-A

ug-2008-S

ep-2008-O

ct-2008-N

ov-2008-D

ec-2008-Jan-2009-Feb-2009-M

ar-2009-A

pr-2009-M

ay-2009-Jun-2009-Jul-2009-A

ug-2009-S

ep-2009-O

ct-2009-N

ov-2009-D

ec-2009-Jan-2010-Feb-2010-M

ar-2010-A

pr-2010-M

ay-2010-Jun-2010-Jul-2010-A

ug-2010

30-d

ay b

oots

trap

0 100 200 300 400 500 600 700 8000

1

2

3

New Risks for Program5 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

2

4

30-d

ay s

um

0

5

10-Jul-2008

-Aug-2008

-Sep-2008

-Oct-2008

-Nov-2008

-Dec-2008

-Jan-2009

-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009

-Jul-2009

-Aug-2009

-Sep-2009

-Oct-2009

-Nov-2009

-Dec-2009

-Jan-2010

-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010

-Jul-2010

-Aug-2010

30-d

ay b

oots

trap

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Program6

Page 33

Update Activity New Risks Identified

# Observed Base 8# Observed Test 21# at .05 Level 20p-value .027

# Observed Base 0# Observed Test 0# at .05 Level 0p-value

0 100 200 300 400 500 600 700 8000

10

20

30RiskNav activity for Program6 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

50

100

30-d

ay s

um

0

100

200

-Jul-2008

-Aug-2008-Sep-2008

-Oct-2008

-Nov-2008

-Dec-2008

-Jan-2009-Feb-2009

-Mar-2009

-Apr-2009-M

ay-2009

-Jun-2009-Jul-2009

-Aug-2009

-Sep-2009-O

ct-2009

-Nov-2009

-Dec-2009

-Jan-2010-Feb-2010-M

ar-2010

-Apr-2010-M

ay-2010

-Jun-2010

-Jul-2010-Aug-2010

30-d

ay b

oots

trap

0 100 200 300 400 500 600 700 8000

2

4

New Risks for Program6 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

5

10

30-d

ay s

um

0

10

20-Jul-2008

-Aug-2008

-Sep-2008

-Oct-2008

-Nov-2008

-Dec-2008

-Jan-2009

-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009

-Jul-2009

-Aug-2009

-Sep-2009

-Oct-2009

-Nov-2009

-Dec-2009

-Jan-2010

-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010

-Jul-2010

-Aug-2010

30-d

ay b

oots

trap

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© 2010 The MITRE Corporation. All rights reserved.

Program7

Page 34

Update Activity New Risks Identified

# Observed Base 63# Observed Test 56# at .05 Level 132p-value .541

# Observed Base 3# Observed Test 1# at .05 Level 7p-value .747

0 100 200 300 400 500 600 700 8000

20

40

RiskNav activity for Program7 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

20

40

60

30-d

ay s

um

0

100

200

300

-Jul-2008-Aug-2008

-Sep-2008-O

ct-2008

-Nov-2008

-Dec-2008

-Jan-2009-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009-Jul-2009-Aug-2009

-Sep-2009-O

ct-2009

-Nov-2009

-Dec-2009

-Jan-2010-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010-Jul-2010-Aug-2010

30-d

ay b

oots

trap

0 100 200 300 400 500 600 700 8000

2

4

New Risks for Program7 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

2

4

30-d

ay s

um

0

10

20-Jul-2008

-Aug-2008

-Sep-2008

-Oct-2008

-Nov-2008

-Dec-2008

-Jan-2009

-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009

-Jul-2009

-Aug-2009

-Sep-2009

-Oct-2009

-Nov-2009

-Dec-2009

-Jan-2010

-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010

-Jul-2010

-Aug-2010

30-d

ay b

oots

trap

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Program8

Page 35

Update Activity New Risks Identified

# Observed Base 10# Observed Test 30# at .05 Level 24p-value .012

# Observed Base 0# Observed Test 2# at .05 Level 0p-value .000

0 100 200 300 400 500 600 700 8000

20

40

60

RiskNav activity for Program8 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

50

100

30-d

ay s

um

0

200

400

-Jul-2008-Aug-2008

-Sep-2008-O

ct-2008

-Nov-2008

-Dec-2008

-Jan-2009-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009-Jul-2009-Aug-2009

-Sep-2009-O

ct-2009

-Nov-2009

-Dec-2009

-Jan-2010-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010-Jul-2010-Aug-2010

30-d

ay b

oots

trap

0 100 200 300 400 500 600 700 8000

5

10

New Risks for Program8 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

10

20

30-d

ay s

um

020406080

-Jul-2008

-Aug-2008

-Sep-2008

-Oct-2008

-Nov-2008

-Dec-2008

-Jan-2009

-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009

-Jul-2009

-Aug-2009

-Sep-2009

-Oct-2009

-Nov-2009

-Dec-2009

-Jan-2010

-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010

-Jul-2010

-Aug-2010

30-d

ay b

oots

trap

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Program9

Page 36

Update Activity New Risks Identified

# Observed Base 0# Observed Test 0# at .05 Level 0p-value

# Observed Base 0# Observed Test 0# at .05 Level 0p-value

0 100 200 300 400 500 600 700 8000

5

10

RiskNav activity for Program9 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

10

20

30-d

ay s

um

0

20

40

60

-Jul-2008-Aug-2008

-Sep-2008-O

ct-2008

-Nov-2008

-Dec-2008

-Jan-2009-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009-Jul-2009-Aug-2009

-Sep-2009-O

ct-2009

-Nov-2009

-Dec-2009

-Jan-2010-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010-Jul-2010-Aug-2010

30-d

ay b

oots

trap

0 100 200 300 400 500 600 700 8000

2

4

New Risks for Program9 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

2

4

30-d

ay s

um

0

10

20-Jul-2008

-Aug-2008

-Sep-2008

-Oct-2008

-Nov-2008

-Dec-2008

-Jan-2009

-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009

-Jul-2009

-Aug-2009

-Sep-2009

-Oct-2009

-Nov-2009

-Dec-2009

-Jan-2010

-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010

-Jul-2010

-Aug-2010

30-d

ay b

oots

trap

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Program10

Page 37

Update Activity New Risks Identified

# Observed Base 0# Observed Test 20# at .05 Level 0p-value .000

# Observed Base 0# Observed Test 3# at .05 Level 0p-value .000

0 100 200 300 400 500 600 700 8000

10

20

RiskNav activity for Program10 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

10

20

30-d

ay s

um

0

50

-Jul-2008-Aug-2008

-Sep-2008-O

ct-2008

-Nov-2008

-Dec-2008

-Jan-2009-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009-Jul-2009-Aug-2009

-Sep-2009-O

ct-2009

-Nov-2009

-Dec-2009

-Jan-2010-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010-Jul-2010-Aug-2010

30-d

ay b

oots

trap

0 100 200 300 400 500 600 700 8000

1

2

3

New Risks for Program10 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

1

2

3

30-d

ay s

um

0

5

10

15-Jul-2008

-Aug-2008

-Sep-2008

-Oct-2008

-Nov-2008

-Dec-2008

-Jan-2009

-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009

-Jul-2009

-Aug-2009

-Sep-2009

-Oct-2009

-Nov-2009

-Dec-2009

-Jan-2010

-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010

-Jul-2010

-Aug-2010

30-d

ay b

oots

trap

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Program11

Page 38

Update Activity New Risks Identified

# Observed Base 49# Observed Test 1# at .05 Level 117p-value .967

# Observed Base 3# Observed Test 0# at .05 Level 7p-value .870

0 100 200 300 400 500 600 700 8000

20

40

RiskNav activity for Program11 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

50

100

30-d

ay s

um

0

100

200

300

-Jul-2008-Aug-2008

-Sep-2008-O

ct-2008

-Nov-2008

-Dec-2008

-Jan-2009-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009-Jul-2009-Aug-2009

-Sep-2009-O

ct-2009

-Nov-2009

-Dec-2009

-Jan-2010-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010-Jul-2010-Aug-2010

30-d

ay b

oots

trap

0 100 200 300 400 500 600 700 8000

1

2

3

New Risks for Program11 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

2

4

6

30-d

ay s

um

0

10

20

-Jul-2008

-Aug-2008

-Sep-2008

-Oct-2008

-Nov-2008

-Dec-2008

-Jan-2009

-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009

-Jul-2009

-Aug-2009

-Sep-2009

-Oct-2009

-Nov-2009

-Dec-2009

-Jan-2010

-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010

-Jul-2010

-Aug-2010

30-d

ay b

oots

trap

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Program12

Page 39

Update Activity New Risks Identified

# Observed Base 0# Observed Test 0# at .05 Level 0p-value

# Observed Base 0# Observed Test 0# at .05 Level 0p-value

0 100 200 300 400 500 600 700 8000

20406080

RiskNav activity for Program12 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

50

100

30-d

ay s

um

0

200

400

-Jul-2008-Aug-2008

-Sep-2008-O

ct-2008

-Nov-2008

-Dec-2008

-Jan-2009-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009-Jul-2009-Aug-2009

-Sep-2009-O

ct-2009

-Nov-2009

-Dec-2009

-Jan-2010-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010-Jul-2010-Aug-2010

30-d

ay b

oots

trap

0 100 200 300 400 500 600 700 8000

2

4

6

New Risks for Program12 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

2

4

6

30-d

ay s

um

0

10

20

30-Jul-2008

-Aug-2008

-Sep-2008

-Oct-2008

-Nov-2008

-Dec-2008

-Jan-2009

-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009

-Jul-2009

-Aug-2009

-Sep-2009

-Oct-2009

-Nov-2009

-Dec-2009

-Jan-2010

-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010

-Jul-2010

-Aug-2010

30-d

ay b

oots

trap

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Program13

Page 40

Update Activity New Risks Identified

# Observed Base 0# Observed Test 0# at .05 Level 0p-value

# Observed Base 0# Observed Test 0# at .05 Level 0p-value

0 100 200 300 400 500 600 700 8000

50

100

150RiskNav activity for Program13 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

200

400

30-d

ay s

um

0200400600800

-Jul-2008-Aug-2008

-Sep-2008-O

ct-2008

-Nov-2008

-Dec-2008

-Jan-2009-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009-Jul-2009-Aug-2009

-Sep-2009-O

ct-2009

-Nov-2009

-Dec-2009

-Jan-2010-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010-Jul-2010-Aug-2010

30-d

ay b

oots

trap

0 100 200 300 400 500 600 700 8000

10

20

New Risks for Program13 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

20

40

30-d

ay s

um

0

50-Jul-2008

-Aug-2008

-Sep-2008

-Oct-2008

-Nov-2008

-Dec-2008

-Jan-2009

-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009

-Jul-2009

-Aug-2009

-Sep-2009

-Oct-2009

-Nov-2009

-Dec-2009

-Jan-2010

-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010

-Jul-2010

-Aug-2010

30-d

ay b

oots

trap

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Program14

Page 41

Update Activity New Risks Identified

# Observed Base 0# Observed Test 0# at .05 Level 0p-value

# Observed Base 0# Observed Test 0# at .05 Level 0p-value

0 100 200 300 400 500 600 700 8000

5

10

15

RiskNav activity for Program14 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

5

10

15

30-d

ay s

um

0

50

-Jul-2008-Aug-2008

-Sep-2008-O

ct-2008

-Nov-2008

-Dec-2008

-Jan-2009-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009-Jul-2009-Aug-2009

-Sep-2009-O

ct-2009

-Nov-2009

-Dec-2009

-Jan-2010-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010-Jul-2010-Aug-2010

30-d

ay b

oots

trap

0 100 200 300 400 500 600 700 8000

2

4

New Risks for Program14 from 09-Jun-2008 to 01-Sep-2010

daily

0 100 200 300 400 500 600 700 8000

1

2

30-d

ay s

um

0

5

10

-Jul-2008

-Aug-2008

-Sep-2008

-Oct-2008

-Nov-2008

-Dec-2008

-Jan-2009

-Feb-2009

-Mar-2009

-Apr-2009

-May-2009

-Jun-2009

-Jul-2009

-Aug-2009

-Sep-2009

-Oct-2009

-Nov-2009

-Dec-2009

-Jan-2010

-Feb-2010

-Mar-2010

-Apr-2010

-May-2010

-Jun-2010

-Jul-2010

-Aug-2010

30-d

ay b

oots

trap