Ranked Choice Voting


                 Candidate Training
                      July 25, 2009
Today’s agenda



✤   Voting
✤   Counting
✤   RCV and your campaign
At the polling place


✤   November 3 is Election Day
    ✤   No primary

✤   Municipal elections only
    ✤   Mayor, City...
Ballot example

1st Choice             2nd Choice             3rd Choice
Candidate Apple        Candidate Apple        Can...
Ballot example

1st Choice             2nd Choice             3rd Choice
Candidate Apple        Candidate Apple        Can...
At the Elections Warehouse


✤   Normalize ballots

    ✤   Fixes voter error

    ✤   Normalization process in ordinance
...
Calculating the threshold



          1              .   + 1 vote
   Number of seats + 1
Single seat elections


✤   If no one passes the threshold (50% + 1 vote) the
    candidate with the fewest votes is elimi...
Single seat example:
Round 1
    Candidates         Votes
   Twins         1,000
   Lynx          800
   Timberwolves 700
...
Single seat example:
The threshold


3,000/2 + 1 = 1,501
Single seat example:
Round 2
 Candidates       Round 1 Redistribution         Round 2
                   results          ...
Single seat example:
 Round 3
 Candidates     Round Round 2 Redistribution       Round 3
               1 results results ...
Multiple Seat Elections
✤   The threshold is calculated
    ✤   Park Board At-Large: 25% +1 vote

    ✤   Board of Estimat...
Multiple Seat Elections
Continued


✤   If candidates have votes over the threshold, their surplus
    votes are proportio...
Park Board example:
Round 1
     Candidates           Votes


Lake Nokomis      1,300


Lake Harriet      850


Lake Hiawa...
Park Board example:
The threshold


4,000/4 + 1 = 1,001
Park Board example:
Round 2
    Candidates    Round 1 results     Redistribution       Round 2 results


Lake Nokomis     ...
Park Board example:
Surplus
surplus votes = surplus fraction
total votes

299   = .23
1,300
Park Board example:
Distributing the surplus

Of all the 1,300 voters who ranked Lake Nokomis first...

1,250 ranked Lake C...
Park Board example:
Distributing the surplus



Lake Calhoun: 1,250 x .23 = 287.5

Lake Hiawatha: 50 x .23 = 11.5
Park Board example:
Round 3
  Candidates     Round 1       Round 2    Redistribution       Round 3
                 result...
Possible voter errors:
Over vote
 1st Choice             2nd Choice             3rd Choice
 Candidate Apple        Candida...
Possible voter errors:
Skipped ranking
 1st Choice             2nd Choice             3rd Choice
 Candidate Apple        C...
Possible voter errors:
Over voting for a candidate
1st Choice             2nd Choice             3rd Choice
Candidate Appl...
Normalization

Skipped one ranking             Next ranking

Skipped two rankings            Exhausted

One over vote for ...
Outreach Activities

✤   Ranked Choice Voting Issues Group

    ✤   Meets 3rd Thursdays, 7pm, Room 132 in City Hall

✤   S...
How we can help you


✤   Review your literature for accuracy

✤   Make educational materials available

    ✤   National ...
Building RCV into your
campaign plan


✤   Explain RCV in all literature, speeches, and other
    communications

✤   Have...
Questions?



✤   Contact Mike Dean and Ona Abderholden Keller, Ranked Choice
    Voting Outreach Coordinators, City of Mi...
Candidate Training Presentation
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Candidate Training Presentation

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Candidate Training Presentation

  1. 1. Ranked Choice Voting Candidate Training July 25, 2009
  2. 2. Today’s agenda ✤ Voting ✤ Counting ✤ RCV and your campaign
  3. 3. At the polling place ✤ November 3 is Election Day ✤ No primary ✤ Municipal elections only ✤ Mayor, City Council, Park Board, Board of Estimate and Taxation ✤ Voters rank up to three candidates for each race
  4. 4. Ballot example 1st Choice 2nd Choice 3rd Choice Candidate Apple Candidate Apple Candidate Apple Candidate Orange Candidate Orange Candidate Orange Candidate Plum Candidate Plum Candidate Plum Candidate Kiwi Candidate Kiwi Candidate Kiwi Candidate Banana Candidate Banana Candidate Banana Candidate Gooseberry Candidate Gooseberry Candidate Gooseberry
  5. 5. Ballot example 1st Choice 2nd Choice 3rd Choice Candidate Apple Candidate Apple Candidate Apple Candidate Orange Candidate Orange Candidate Orange Candidate Plum Candidate Plum Candidate Plum Candidate Kiwi Candidate Kiwi Candidate Kiwi Candidate Banana Candidate Banana Candidate Banana Candidate Gooseberry Candidate Gooseberry Candidate Gooseberry
  6. 6. At the Elections Warehouse ✤ Normalize ballots ✤ Fixes voter error ✤ Normalization process in ordinance ✤ Count write-in candidates ✤ Hand count all offices
  7. 7. Calculating the threshold 1 . + 1 vote Number of seats + 1
  8. 8. Single seat elections ✤ If no one passes the threshold (50% + 1 vote) the candidate with the fewest votes is eliminated ✤ The second choice votes from the eliminated candidate are redistributed ✤ Counting continues until a winner is declared
  9. 9. Single seat example: Round 1 Candidates Votes Twins 1,000 Lynx 800 Timberwolves 700 Vikings 500 TOTAL 3,000
  10. 10. Single seat example: The threshold 3,000/2 + 1 = 1,501
  11. 11. Single seat example: Round 2 Candidates Round 1 Redistribution Round 2 results results Twins 1,000 0 1,000 Lynx 800 +250 1,050 Timberwolves 700 +250 950 Vikings 500 -500 0 TOTAL 3,000 500 3,000 Threshold = 1,501 votes
  12. 12. Single seat example: Round 3 Candidates Round Round 2 Redistribution Round 3 1 results results results Twins 1,000 1,000 0 1,000 Lynx 800 1,050 +950 2,000 Timberwolves 700 950 -950 0 Vikings 500 0 0 0 TOTAL 3,000 3,000 500 3,000 Threshold = 1,501 votes
  13. 13. Multiple Seat Elections ✤ The threshold is calculated ✤ Park Board At-Large: 25% +1 vote ✤ Board of Estimate and Taxation: 33% + 1 vote ✤ If all of the seats are not filled during the first round, mathematical elimination begins ✤ The second choice votes from the mathematically eliminated candidate are redistributed ✤ This continues until there are no more candidates that can be mathematically eliminated.
  14. 14. Multiple Seat Elections Continued ✤ If candidates have votes over the threshold, their surplus votes are proportionally redistributed. ✤ Mathematical elimination begins again if there are no more surplus votes. ✤ This continues until all the seats are filled.
  15. 15. Park Board example: Round 1 Candidates Votes Lake Nokomis 1,300 Lake Harriet 850 Lake Hiawatha 750 Lake Calhoun 710 Brownie Lake 390 TOTAL 4,000
  16. 16. Park Board example: The threshold 4,000/4 + 1 = 1,001
  17. 17. Park Board example: Round 2 Candidates Round 1 results Redistribution Round 2 results Lake Nokomis 1,300 1,300 Lake Harriet 850 850 Lake Hiawatha 750 +300 1,050 Lake Calhoun 710 +90 800 Brownie Lake 390 -390 0 TOTAL 4,000 4,000
  18. 18. Park Board example: Surplus surplus votes = surplus fraction total votes 299 = .23 1,300
  19. 19. Park Board example: Distributing the surplus Of all the 1,300 voters who ranked Lake Nokomis first... 1,250 ranked Lake Calhoun second 50 ranked Lake Hiawatha second
  20. 20. Park Board example: Distributing the surplus Lake Calhoun: 1,250 x .23 = 287.5 Lake Hiawatha: 50 x .23 = 11.5
  21. 21. Park Board example: Round 3 Candidates Round 1 Round 2 Redistribution Round 3 results results results Lake Nokomis 1,300 1,300 -299 1,001 Lake Harriet 850 850 +11.5 861.5 Lake Hiawatha 750 1,050 1,050 Lake Calhoun 710 800 +287.5 1,087.5 Brownie Lake 390 0 0 TOTAL 4,000 4,000 4,000
  22. 22. Possible voter errors: Over vote 1st Choice 2nd Choice 3rd Choice Candidate Apple Candidate Apple Candidate Apple Candidate Orange Candidate Orange Candidate Orange Candidate Plum Candidate Plum Candidate Plum Candidate Kiwi Candidate Kiwi Candidate Kiwi Candidate Banana Candidate Banana Candidate Banana Candidate Gooseberry Candidate Gooseberry Candidate Gooseberry
  23. 23. Possible voter errors: Skipped ranking 1st Choice 2nd Choice 3rd Choice Candidate Apple Candidate Apple Candidate Apple Candidate Orange Candidate Orange Candidate Orange Candidate Plum Candidate Plum Candidate Plum Candidate Kiwi Candidate Kiwi Candidate Kiwi Candidate Banana Candidate Banana Candidate Banana Candidate Gooseberry Candidate Gooseberry Candidate Gooseberry
  24. 24. Possible voter errors: Over voting for a candidate 1st Choice 2nd Choice 3rd Choice Candidate Apple Candidate Apple Candidate Apple Candidate Orange Candidate Orange Candidate Orange Candidate Plum Candidate Plum Candidate Plum Candidate Kiwi Candidate Kiwi Candidate Kiwi Candidate Banana Candidate Banana Candidate Banana Candidate Gooseberry Candidate Gooseberry Candidate Gooseberry
  25. 25. Normalization Skipped one ranking Next ranking Skipped two rankings Exhausted One over vote for a candidate Next ranking
  26. 26. Outreach Activities ✤ Ranked Choice Voting Issues Group ✤ Meets 3rd Thursdays, 7pm, Room 132 in City Hall ✤ Speakers Bureau ✤ Organizational Outreach ✤ Media ✤ Visibility
  27. 27. How we can help you ✤ Review your literature for accuracy ✤ Make educational materials available ✤ National Night Out (August 4) ✤ Direct supporters to our website
  28. 28. Building RCV into your campaign plan ✤ Explain RCV in all literature, speeches, and other communications ✤ Have your supporters practice filling out a ballot ✤ Ranked Choice Dessert
  29. 29. Questions? ✤ Contact Mike Dean and Ona Abderholden Keller, Ranked Choice Voting Outreach Coordinators, City of Minneapolis ✤ 612-605-8370 ✤ rcv@ci.minneapolis.mn.us

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