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Round 1  Votes  657 46/60 (25%) Max Ken DOUGLAS     666    (25.3%)  1 Graham Ian (Bud) LAVERY     359    (13.6%)  1 Tracey WATERS     356    (13.5%)  1 Liz KELLY     341    (13.0%)  1 Don BORRIE     225    (8.6%)  1 Glynis DENZ     188    (7.1%)  1 Donni ALLUM     132    (5.0%)  1 Dick RENOUF     129    (4.9%)  1 Rose HUDSON     91    (3.5%)  1 Helen DOUGLAS     88    (3.3%)  1 Peter G WINDSOR     56    (2.1%)  1           Results       Ken DOUGLAS Elected               Histograms  Surplus   New Max  Votes: Ballots   Ken DOUGLAS 8 14/60 1 1: 647

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.

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 2  Votes  657 46/60 (25%) Max Ken DOUGLAS     666    (25.3%)  1 Graham Ian (Bud) LAVERY     359    (13.6%)  1 Tracey WATERS     356    (13.5%)  1 Liz KELLY     341    (13.0%)  1 Don BORRIE     225    (8.6%)  1 Glynis DENZ     188    (7.1%)  1 Donni ALLUM     132    (5.0%)  1 Dick RENOUF     129    (4.9%)  1 Rose HUDSON     91    (3.5%)  1 Helen DOUGLAS     88    (3.3%)  1 Peter G WINDSOR     56    (2.1%)  1           Results       Peter G WINDSOR 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 3  Votes  656 16/60 (25%) Max Ken DOUGLAS     668    (25.4%)  1 Graham Ian (Bud) LAVERY     366    (13.9%)  1 Tracey WATERS     371    (14.1%)  1 Liz KELLY     350    (13.3%)  1 Don BORRIE     231    (8.8%)  1 Glynis DENZ     188    (7.2%)  1 Donni ALLUM     134    (5.1%)  1 Dick RENOUF     132    (5.0%)  1 Rose HUDSON     97    (3.7%)  1 Helen DOUGLAS     88    (3.4%)  1 None of these     6                Results       Ken DOUGLAS Equalized               Transfers (to these colors):               Histograms  Surplus   New Max  Votes: Ballots   Ken DOUGLAS 11 44/60 59/60 1: 647

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  656 16/60 (25%) Max Ken DOUGLAS     657 13/60  (25.0%)  59/60 Graham Ian (Bud) LAVERY     367 29/60  (14.0%)  1 Tracey WATERS     371 57/60  (14.2%)  1 Liz KELLY     350 45/60  (13.4%)  1 Don BORRIE     231 51/60  (8.8%)  1 Glynis DENZ     190 7/60  (7.2%)  1 Donni ALLUM     134 10/60  (5.1%)  1 Dick RENOUF     132 19/60  (5.0%)  1 Rose HUDSON     97 26/60  (3.7%)  1 Helen DOUGLAS     91 43/60  (3.5%)  1 None of these     6                Results       Helen DOUGLAS 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  655 16/60 (25%) Max Ken DOUGLAS     695 4/60  (26.5%)  59/60 Graham Ian (Bud) LAVERY     372 2/60  (14.2%)  1 Tracey WATERS     381 13/60  (14.5%)  1 Liz KELLY     355 7/60  (13.5%)  1 Don BORRIE     235 4/60  (9.0%)  1 Glynis DENZ     208 10/60  (7.9%)  1 Donni ALLUM     137 15/60  (5.2%)  1 Dick RENOUF     133 25/60  (5.1%)  1 Rose HUDSON     103 40/60  (4.0%)  1 None of these     10                Results       Ken DOUGLAS Equalized               Transfers (to these colors):               Histograms  Surplus   New Max  Votes: Ballots   Ken DOUGLAS 39 48/60 56/60 59/60: 656

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  655 16/60 (25%) Max Ken DOUGLAS     662 16/60  (25.3%)  56/60 Graham Ian (Bud) LAVERY     378 8/60  (14.4%)  1 Tracey WATERS     384 52/60  (14.7%)  1 Liz KELLY     358 28/60  (13.7%)  1 Don BORRIE     238 16/60  (9.1%)  1 Glynis DENZ     220 40/60  (8.4%)  1 Donni ALLUM     138    (5.3%)  1 Dick RENOUF     134 40/60  (5.1%)  1 Rose HUDSON     105 40/60  (4.0%)  1 None of these     10                Results       Rose HUDSON 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 7  Votes  653 1/60 (25%) Max Ken DOUGLAS     670 32/60  (25.7%)  56/60 Graham Ian (Bud) LAVERY     387 44/60  (14.8%)  1 Tracey WATERS     410 16/60  (15.7%)  1 Liz KELLY     381 48/60  (14.6%)  1 Don BORRIE     243 28/60  (9.3%)  1 Glynis DENZ     228 52/60  (8.8%)  1 Donni ALLUM     143 20/60  (5.5%)  1 Dick RENOUF     146    (5.6%)  1 None of these     19                Results       Ken DOUGLAS Equalized               Transfers (to these colors):               Histograms  Surplus   New Max  Votes: Ballots   Ken DOUGLAS 17 31/60 55/60 56/60: 652

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 8  Votes  653 1/60 (25%) Max Ken DOUGLAS     659 40/60  (25.3%)  55/60 Graham Ian (Bud) LAVERY     389 55/60  (14.9%)  1 Tracey WATERS     411 35/60  (15.8%)  1 Liz KELLY     383    (14.7%)  1 Don BORRIE     244 35/60  (9.4%)  1 Glynis DENZ     233 5/60  (8.9%)  1 Donni ALLUM     143 40/60  (5.5%)  1 Dick RENOUF     146 30/60  (5.6%)  1 None of these     19                Results       Donni ALLUM 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 9  Votes  650 1/60 (25%) Max Ken DOUGLAS     672 35/60  (25.9%)  55/60 Graham Ian (Bud) LAVERY     402    (15.5%)  1 Tracey WATERS     435 50/60  (16.8%)  1 Liz KELLY     428 40/60  (16.5%)  1 Don BORRIE     259 35/60  (10.0%)  1 Glynis DENZ     241 35/60  (9.3%)  1 Dick RENOUF     159 45/60  (6.1%)  1 None of these     31                Results       Ken DOUGLAS Equalized               Transfers (to these colors):               Histograms  Surplus   New Max  Votes: Ballots   Ken DOUGLAS 22 34/60 53/60 55/60: 653

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 10  Votes  650 1/60 (25%) Max Ken DOUGLAS     650 49/60  (25.0%)  53/60 Graham Ian (Bud) LAVERY     406 24/60  (15.6%)  1 Tracey WATERS     438 34/60  (16.9%)  1 Liz KELLY     431 20/60  (16.6%)  1 Don BORRIE     261 49/60  (10.1%)  1 Glynis DENZ     250 13/60  (9.6%)  1 Dick RENOUF     160 51/60  (6.2%)  1 None of these     31                Results       Dick RENOUF 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 11  Votes  645 31/60 (25%) Max Ken DOUGLAS     674 14/60  (26.1%)  53/60 Graham Ian (Bud) LAVERY     431 13/60  (16.7%)  1 Tracey WATERS     473 37/60  (18.3%)  1 Liz KELLY     455 23/60  (17.6%)  1 Don BORRIE     285 45/60  (11.1%)  1 Glynis DENZ     261 48/60  (10.1%)  1 None of these     49                Results       Ken DOUGLAS Equalized               Transfers (to these colors):               Histograms  Surplus   New Max  Votes: Ballots   Ken DOUGLAS 28 43/60 51/60 53/60: 658

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 12  Votes  645 31/60 (25%) Max Ken DOUGLAS     652 18/60  (25.3%)  51/60 Graham Ian (Bud) LAVERY     435 51/60  (16.9%)  1 Tracey WATERS     476 39/60  (18.5%)  1 Liz KELLY     458 21/60  (17.8%)  1 Don BORRIE     288 15/60  (11.2%)  1 Glynis DENZ     270 36/60  (10.5%)  1 None of these     49                Results       Glynis DENZ 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 13  Votes  635 31/60 (25%) Max Ken DOUGLAS     756 57/60  (29.8%)  51/60 Graham Ian (Bud) LAVERY     453 51/60  (17.9%)  1 Tracey WATERS     520 33/60  (20.5%)  1 Liz KELLY     509 51/60  (20.1%)  1 Don BORRIE     300 48/60  (11.8%)  1 None of these     89                Results       Ken DOUGLAS Equalized               Transfers (to these colors):               Histograms  Surplus   New Max  Votes: Ballots   Ken DOUGLAS 121 26/60 37/60 51/60: 507

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 14  Votes  635 31/60 (25%) Max Ken DOUGLAS     638 39/60  (25.1%)  37/60 Graham Ian (Bud) LAVERY     490 57/60  (19.3%)  1 Tracey WATERS     547 51/60  (21.6%)  1 Liz KELLY     542 17/60  (21.3%)  1 Don BORRIE     322 16/60  (12.7%)  1 None of these     89                Results       Don BORRIE 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 15  Votes  619 1/60 (25%) Max Ken DOUGLAS     716 38/60  (28.9%)  37/60 Graham Ian (Bud) LAVERY     541 27/60  (21.9%)  1 Tracey WATERS     618 17/60  (25.0%)  1 Liz KELLY     599 38/60  (24.2%)  1 None of these     155                Results       Ken DOUGLAS Equalized               Transfers (to these colors):               Histograms  Surplus   New Max  Votes: Ballots   Ken DOUGLAS 97 37/60 26/60 37/60: 494

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 16  Votes  619 1/60 (25%) Max Ken DOUGLAS     626 4/60  (25.3%)  26/60 Graham Ian (Bud) LAVERY     576 6/60  (23.3%)  1 Tracey WATERS     643 46/60  (26.0%)  1 Liz KELLY     630 4/60  (25.4%)  1 None of these     155                Results       Liz KELLY Elected     Tracey WATERS Elected               Histograms  Surplus   New Max  Votes: Ballots   Liz KELLY 11 3/60 1 1: 347 34/60: 70   Tracey WATERS 24 45/60 1 1: 332 34/60: 38

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 17  Votes  619 1/60 (25%) Max Ken DOUGLAS     626 4/60  (25.3%)  26/60 Graham Ian (Bud) LAVERY     576 6/60  (23.3%)  1 Tracey WATERS     643 46/60  (26.0%)  1 Liz KELLY     630 4/60  (25.4%)  1 None of these     155                Results       Graham Ian (Bud) LAVERY 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 18  Votes  787 (33.3%) Max Ken DOUGLAS     783 34/60  (33.2%)  26/60 Tracey WATERS     867 44/60  (36.8%)  1 Liz KELLY     709 42/60  (30.1%)  1 None of these     270                Results       Tracey WATERS Equalized     Ken DOUGLAS Equalized               Transfers (to these colors):     Transfers (from these colors):               Histograms  Surplus   New Max  Votes: Ballots   Tracey WATERS 80 44/60 44/60 1: 339 34/60: 48   Ken DOUGLAS     23/60 26/60: 419 14/60: 25

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 19  Votes  787 (33.3%) Max Ken DOUGLAS     789 33/60  (33.4%)  23/60 Tracey WATERS     787 38/60  (33.4%)  44/60 Liz KELLY     783 49/60  (33.2%)  1 None of these     270                Results         Ken DOUGLAS Elected     Liz KELLY Elected     Tracey WATERS 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	47.5%
2nd	28.3%
3rd	16.7%
4th	3.6%
5th	1.6%
6th	1.1%
7th	0.7%
8th	0.3%

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Slices	Percentage of ballots with that many slices
1	67.9%
2	32.1%