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Candidate Training Presentation

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  • 1. Ranked Choice Voting Candidate Training July 25, 2009
  • 2. Today’s agenda ✤ Voting ✤ Counting ✤ RCV and your campaign
  • 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. 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. 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. At the Elections Warehouse ✤ Normalize ballots ✤ Fixes voter error ✤ Normalization process in ordinance ✤ Count write-in candidates ✤ Hand count all offices
  • 7. Calculating the threshold 1 . + 1 vote Number of seats + 1
  • 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. Single seat example: Round 1 Candidates Votes Twins 1,000 Lynx 800 Timberwolves 700 Vikings 500 TOTAL 3,000
  • 10. Single seat example: The threshold 3,000/2 + 1 = 1,501
  • 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. 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. 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. 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. 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. Park Board example: The threshold 4,000/4 + 1 = 1,001
  • 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. Park Board example: Surplus surplus votes = surplus fraction total votes 299 = .23 1,300
  • 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. Park Board example: Distributing the surplus Lake Calhoun: 1,250 x .23 = 287.5 Lake Hiawatha: 50 x .23 = 11.5
  • 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. 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. 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. 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. Normalization Skipped one ranking Next ranking Skipped two rankings Exhausted One over vote for a candidate Next ranking
  • 26. Outreach Activities ✤ Ranked Choice Voting Issues Group ✤ Meets 3rd Thursdays, 7pm, Room 132 in City Hall ✤ Speakers Bureau ✤ Organizational Outreach ✤ Media ✤ Visibility
  • 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. 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. Questions? ✤ Contact Mike Dean and Ona Abderholden Keller, Ranked Choice Voting Outreach Coordinators, City of Minneapolis ✤ 612-605-8370 ✤ rcv@ci.minneapolis.mn.us