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Round 1  Votes  290 73/84 (14.3%) Max Jan TUCKER     656    (32.2%)  1 Ross DAVIES     476    (23.4%)  1 Trevor JOHNSON     249    (12.2%)  1 Angela MCERLANE     203    (10.0%)  1 John NEILSON     151    (7.4%)  1 Andre MABON     111    (5.5%)  1 Bev MCKEOWN     101    (5.0%)  1 Paul J ADAMS     89    (4.4%)  1           Results       Ross DAVIES Elected     Jan TUCKER Elected               Transfers (to these colors):     Transfers (from these colors):               Histograms  Surplus   New Max  Votes: Ballots   Ross DAVIES 185 11/84 49/84 1: 432   Jan TUCKER 365 11/84 33/84 1: 598

Each ballot initially counts toward its highest-ranked eligible choice. However, in future rounds, a maximum fraction of a ballot may be imposed on a candidate. This allows voters for popular winners (or for eliminated losers) to help unelected candidates or candidates elected later. If there are no such candidates, the leftover fraction goes back to the first winner, or count toward "none of these" if there are no ranked winners.

The ballot fraction precision is equal to 1/Seats(Seats+1), which ensures that winners can always be kept between Enough votes to win, more than (Total Votes for Candidates)/(Seats+1), and the Ideal Number of votes, (Total Votes for Candidates)/Seats.
If all winners have at least "Enough" votes, it is impossible to elect too many candidates. This number is Ballots/(Seats+1) plus the smallest fraction.
If all winners have exactly the Ideal Number of votes, and they each have an equal voice, everyone who voted for a winner is equally represented.
The dotted line on the graph represents Enough votes.
The histogram shows how many ballots count a given fraction of a vote toward a winner. It is used to determine how much to lower the maximum. Ballots that cannot count for a lower-ranked candidate are not included in the histogram. The maximum is reduced in steps of the defined fractional precision, reducing the surplus by the number of ballots in the affected histogram bins divided by that precision. This process stops just before too many would be transferred. At this point, the affected bins are shown in red.
When only winners remain, they may reduce their maxima toward the Ideal Number.

Go to the next round

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Round 2  Votes  290 73/84 (14.3%) Max Jan TUCKER     333 67/84  (16.4%)  33/84 Ross DAVIES     393 59/84  (19.3%)  49/84 Trevor JOHNSON     363 22/84  (17.8%)  1 Angela MCERLANE     275 28/84  (13.5%)  1 John NEILSON     222 6/84  (10.9%)  1 Andre MABON     177 46/84  (8.7%)  1 Bev MCKEOWN     138 75/84  (6.8%)  1 Paul J ADAMS     131 33/84  (6.5%)  1           Results       Ross DAVIES Equalized     Trevor JOHNSON Elected     Jan TUCKER Equalized               Transfers (to these colors):     Transfers (from these colors):               Histograms  Surplus   New Max  Votes: Ballots   Ross DAVIES 102 70/84 35/84 49/84: 587   Trevor JOHNSON 72 33/84 58/84 1: 229 51/84: 107 35/84: 81 2/84: 53   Jan TUCKER 42 78/84 28/84 33/84: 684

The histogram shows how many ballots count a given fraction of a vote toward a winner. It is used to determine how much to lower the maximum. Ballots that cannot count for a lower-ranked candidate are not included in the histogram. The maximum is reduced in steps of the defined fractional precision, reducing the surplus by the number of ballots in the affected histogram bins divided by that precision. This process stops just before too many would be transferred. At this point, the affected bins are shown in red.
When only winners remain, they may reduce their maxima toward the Ideal Number.

Go to the next round

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Round 3  Votes  290 73/84 (14.3%) Max Jan TUCKER     309 45/84  (15.2%)  28/84 Ross DAVIES     312 83/84  (15.4%)  35/84 Trevor JOHNSON     330 59/84  (16.2%)  58/84 Angela MCERLANE     307 20/84  (15.1%)  1 John NEILSON     252 83/84  (12.4%)  1 Andre MABON     210 35/84  (10.3%)  1 Bev MCKEOWN     160 38/84  (7.9%)  1 Paul J ADAMS     151 57/84  (7.4%)  1           Results       Ross DAVIES Equalized     Trevor JOHNSON Equalized     Angela MCERLANE Elected     Jan TUCKER Equalized               Transfers (to these colors):     Transfers (from these colors):               Histograms  Surplus   New Max  Votes: Ballots   Ross DAVIES 22 10/84 30/84 35/84: 587 26/84: 49   Trevor JOHNSON 39 70/84 46/84 58/84: 229 56/84: 107 49/84: 81 21/84: 53   Angela MCERLANE 16 31/84 68/84 1: 187 56/84: 60 49/84: 65 26/84: 24 21/84: 29   Jan TUCKER 18 56/84 25/84 28/84: 684 26/84: 39

The histogram shows how many ballots count a given fraction of a vote toward a winner. It is used to determine how much to lower the maximum. Ballots that cannot count for a lower-ranked candidate are not included in the histogram. The maximum is reduced in steps of the defined fractional precision, reducing the surplus by the number of ballots in the affected histogram bins divided by that precision. This process stops just before too many would be transferred. At this point, the affected bins are shown in red.
When only winners remain, they may reduce their maxima toward the Ideal Number.

Go to the next round

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Round 4  Votes  290 73/84 (14.3%) Max Jan TUCKER     295 75/84  (14.5%)  25/84 Ross DAVIES     296 78/84  (14.6%)  30/84 Trevor JOHNSON     294    (14.4%)  46/84 Angela MCERLANE     291 78/84  (14.3%)  68/84 John NEILSON     273 3/84  (13.4%)  1 Andre MABON     235 74/84  (11.6%)  1 Bev MCKEOWN     180 38/84  (8.9%)  1 Paul J ADAMS     167 74/84  (8.2%)  1           Results       Paul J ADAMS Defeated               Transfers (to these colors):

No elected candidates could reduce their maxima, so candidates were eliminated instead.
The last-place candidate is eliminated.
Go to the next round

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Round 5  Votes  288 49/84 (14.3%) Max Jan TUCKER     313 9/84  (15.5%)  25/84 Ross DAVIES     322 16/84  (16.0%)  30/84 Trevor JOHNSON     324 71/84  (16.1%)  46/84 Angela MCERLANE     313 75/84  (15.5%)  68/84 John NEILSON     290 68/84  (14.4%)  1 Andre MABON     249 53/84  (12.4%)  1 Bev MCKEOWN     205 44/84  (10.2%)  1 None of these     16                Results       Ross DAVIES Equalized     Trevor JOHNSON Equalized     Angela MCERLANE Equalized     John NEILSON Elected     Jan TUCKER Equalized               Transfers (to these colors):     Transfers (from these colors):               Histograms  Surplus   New Max  Votes: Ballots   Ross DAVIES 33 51/84 24/84 30/84: 677 16/84: 39 13/84: 40   Trevor JOHNSON 36 22/84 36/84 46/84: 450 29/84: 69 16/84: 19   Angela MCERLANE 25 26/84 52/84 68/84: 194 59/84: 59 54/84: 74 38/84: 24 29/84: 37 13/84: 25 8/84: 31   John NEILSON 2 19/84 68/84 1: 137 59/84: 83 54/84: 41 38/84: 23 29/84: 36 16/84: 9 13/84: 23 8/84: 16   Jan TUCKER 24 44/84 20/84 25/84: 723 16/84: 31 8/84: 36

The histogram shows how many ballots count a given fraction of a vote toward a winner. It is used to determine how much to lower the maximum. Ballots that cannot count for a lower-ranked candidate are not included in the histogram. The maximum is reduced in steps of the defined fractional precision, reducing the surplus by the number of ballots in the affected histogram bins divided by that precision. This process stops just before too many would be transferred. At this point, the affected bins are shown in red.
When only winners remain, they may reduce their maxima toward the Ideal Number.

Go to the next round

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Round 6  Votes  288 49/84 (14.3%) Max Jan TUCKER     294    (14.6%)  20/84 Ross DAVIES     297 16/84  (14.7%)  24/84 Trevor JOHNSON     294 76/84  (14.6%)  36/84 Angela MCERLANE     296 32/84  (14.7%)  52/84 John NEILSON     297 20/84  (14.7%)  68/84 Andre MABON     296 52/84  (14.7%)  1 Bev MCKEOWN     243 56/84  (12.1%)  1 None of these     16                Results       Andre MABON Elected               Histograms  Surplus   New Max  Votes: Ballots   Andre MABON 8 3/84 1 1: 104 64/84: 75 60/84: 51 48/84: 37 40/84: 40 32/84: 30 28/84: 19 24/84: 38 16/84: 16 12/84: 16 8/84: 16 4/84: 31

The histogram shows how many ballots count a given fraction of a vote toward a winner. It is used to determine how much to lower the maximum. Ballots that cannot count for a lower-ranked candidate are not included in the histogram. The maximum is reduced in steps of the defined fractional precision, reducing the surplus by the number of ballots in the affected histogram bins divided by that precision. This process stops just before too many would be transferred. At this point, the affected bins are shown in red.
When only winners remain, they may reduce their maxima toward the Ideal Number.

There is a newly elected candidate whose maximum could not be reduced. The surplus is lower than the number of ballots in the first histogram bin (the ballots counting the largest fraction toward the candidate) times the smallest fraction, so they cannot all transfer that fraction without exceeding the surplus.
Go to the next round

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Round 7  Votes  288 49/84 (14.3%) Max Jan TUCKER     294    (14.6%)  20/84 Ross DAVIES     297 16/84  (14.7%)  24/84 Trevor JOHNSON     294 76/84  (14.6%)  36/84 Angela MCERLANE     296 32/84  (14.7%)  52/84 John NEILSON     297 20/84  (14.7%)  68/84 Andre MABON     296 52/84  (14.7%)  1 Bev MCKEOWN     243 56/84  (12.1%)  1 None of these     16                Results       Bev MCKEOWN Defeated               Transfers (to these colors):

No elected candidates could reduce their maxima, so candidates were eliminated instead.
The last-place candidate is eliminated.
Go to the next round

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Round 8  Votes  335 42/84 (16.7%) Max Jan TUCKER     328 60/84  (16.3%)  20/84 Ross DAVIES     328 48/84  (16.3%)  24/84 Trevor JOHNSON     329 60/84  (16.4%)  36/84 Angela MCERLANE     356 80/84  (17.7%)  52/84 John NEILSON     329 32/84  (16.4%)  68/84 Andre MABON     339 56/84  (16.9%)  1 None of these     23                Results       Andre MABON Equalized     Angela MCERLANE Equalized               Transfers (to these colors):     Transfers (from these colors):               Histograms  Surplus   New Max  Votes: Ballots   Andre MABON 4 14/84 76/84 1: 111 64/84: 86 60/84: 52 48/84: 40 40/84: 47 32/84: 35 28/84: 26 24/84: 50 16/84: 16 12/84: 25 8/84: 27 4/84: 33   Angela MCERLANE 21 38/84 47/84 52/84: 363 48/84: 31 40/84: 40 28/84: 34 24/84: 33 16/84: 13 4/84: 30

The histogram shows how many ballots count a given fraction of a vote toward a winner. It is used to determine how much to lower the maximum. Ballots that cannot count for a lower-ranked candidate are not included in the histogram. The maximum is reduced in steps of the defined fractional precision, reducing the surplus by the number of ballots in the affected histogram bins divided by that precision. This process stops just before too many would be transferred. At this point, the affected bins are shown in red.
When only winners remain, they may reduce their maxima toward the Ideal Number.

Only winners remain, so the dotted line is raised to the Ideal Number.
Go to the next round

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Round 9  Votes  335 42/84 (16.7%) Max Jan TUCKER     334 41/84  (16.6%)  20/84 Ross DAVIES     335 1/84  (16.6%)  24/84 Trevor JOHNSON     337 37/84  (16.8%)  36/84 Angela MCERLANE     337 6/84  (16.7%)  47/84 John NEILSON     333 27/84  (16.6%)  68/84 Andre MABON     335 56/84  (16.7%)  76/84 None of these     23                Results         Ross DAVIES Elected     Trevor JOHNSON Elected     Andre MABON Elected     Angela MCERLANE Elected     John NEILSON Elected     Jan TUCKER Elected

No further maximum reductions are allowed, so the count is complete. All winners should be near the Ideal Number of votes. Usually most ballots count toward their highest-ranked winner. Some count for two winners, but rarely more than that. See the slice report. The depth report shows the contribution of lower choices to the result. The "none of these" pile is an accurate measure of unsatisfied voters.

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Rank	Fraction of votes for winners
1st	42.7%
2nd	34.9%

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Slices	Percentage of ballots with that many slices
1	11.8%
2	43.7%
3	36.6%
4	7.9%