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Post Election Vote Auditing

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Presentation on theme: "Post Election Vote Auditing"— Presentation transcript:

1 Post Election Vote Auditing
Fritz Scheuren University of Chicago

2 If you did not check it, then it did go wrong!
Murphy’s Corollary If you did not check it, then it did go wrong!

3 Outline of Remarks Systems Thinking Sample Vote Verification
Forensic Statistical Additions Exit Polls Better Together

4 Systems Thinking Appreciation of Complexity No Single System Owner
Political Party Roles Media Roles Voters’ Trust and Participation

5 Proactive Response Needed
Benchmarking and Sharing What Works

6 and Voter Surveys Trained Pollworker Tested Ballot Certified Equipment
Audited Votes and Voter Surveys Trustworthy Voting System Verified Identity Educated Voter Secured Tabulation Ishikawa (Fishbone) Diagram

7 Sample Vote Verification
Key to Accountability Transparency and Randomness Rules of Evidence (Florida?) Build A Body of Practice

8 Forensic Statistical Additions?
Exploring Official Results for anomalies Confirming Outliers and Inliers Linking Present to Past Patterns Developing Lessons Learned Data Bases, Persisting

9 Ohio Scatterplot of Kerry Difference Between Actual and Predicted Vs
Ohio Scatterplot of Kerry Difference Between Actual and Predicted Vs. The Total (Trending ) Cuyahoga Franklin Hamilton

10 Cuyahoga Scatterplot of Kerry Difference Between Actual and Predicted Vs. the Total (Grouping Precincts )

11 Exit Polls Warren Mitofsky Not a Substitute for Sample Audits
A Weak Fitness for Use Standard Badly Misunderstood, Redirect and Replace

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13 More on Refusal Versus Fraud Alternative – 2000 v. 2004
Are Precincts with Gaps Different? Data Does not Support this! Actual Results Are Similar not Different Scatterplot Shows Rough Similarity Distributions Virtually Identical Mitofsky “Bias in Refusals” Hypothesis Supported Instead

14 Still More on Predictive Value of Exit Poll v. Actual Results
Another Look at Gap over time 2004 Exit Poll v Actual Gap Versus Change Fraud Hypothesis would Predict Gap is Correlated to Change Correlation only 0.03 However

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16 Better Together Cooperation Already High Among Election Officials
Bring in Skilled Outsiders, Statisticians. Computer Specialists, …, As You Have Include and Inform Critics Make Accountability Evident

17 Media and Marketing Approach Media Ahead of Time
Seize this Timely Moment Stress New Tools, Learning Style Conduct Demonstration Sample Audits and Get the Word Out

18 National Election Scorecard
National Voter (Customer) Survey Build on 2006 Ohio Proof of Concept Put “Horror Stories” in Perspective

19 Fully Auditable Election
Prepare prior data ahead of time, so analysis can be real-time Continue to use Exit Polls but adjusting for the bias in them, if possible.

20 More Examples Create and train election officials in new process recording and Sample Vote Verification Standards Make sure software is fully tested and as close to tamper proof as possible

21 Many Thanks


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