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Round 1  Votes  105 37/60 (20%) Max Yosemite     150    (28.4%)  1 Redwood     61    (11.6%)  1 Big Sur     49    (9.3%)  1 Sequoia/Kings Canyon     45    (8.5%)  1 Lake Tahoe     43    (8.1%)  1 Lost Coast     42    (8.0%)  1 Joshua Tree     37    (7.0%)  1 Death Valley     29    (5.5%)  1 Pt. Reyes     28    (5.3%)  1 Lassen/Lava Beds     19    (3.6%)  1 Pinnacles     13    (2.5%)  1 Mt. Shasta     12    (2.3%)  1           Results       Yosemite Elected               Transfers (to these colors):               Histograms  Surplus   New Max  Votes: Ballots   Yosemite 44 23/60 41/60 1: 139

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  105 37/60 (20%) Max Yosemite     105 59/60  (20.1%)  41/60 Redwood     71 8/60  (13.5%)  1 Big Sur     54 42/60  (10.4%)  1 Sequoia/Kings Canyon     51 20/60  (9.7%)  1 Lake Tahoe     49 1/60  (9.3%)  1 Lost Coast     42 38/60  (8.1%)  1 Joshua Tree     40 29/60  (7.7%)  1 Death Valley     32 29/60  (6.2%)  1 Pt. Reyes     30 51/60  (5.8%)  1 Lassen/Lava Beds     21 13/60  (4.0%)  1 Pinnacles     13 57/60  (2.6%)  1 Mt. Shasta     14 13/60  (2.7%)  1           Results       Pinnacles 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  105 25/60 (20%) Max Yosemite     108 2/60  (20.5%)  41/60 Redwood     72 5/60  (13.7%)  1 Big Sur     56 42/60  (10.8%)  1 Sequoia/Kings Canyon     52 20/60  (9.9%)  1 Lake Tahoe     49 20/60  (9.4%)  1 Lost Coast     45 38/60  (8.7%)  1 Joshua Tree     40 48/60  (7.7%)  1 Death Valley     32 29/60  (6.2%)  1 Pt. Reyes     32 51/60  (6.2%)  1 Lassen/Lava Beds     21 13/60  (4.0%)  1 Mt. Shasta     15 32/60  (2.9%)  1 None of these     1                Results       Yosemite Equalized               Transfers (to these colors):               Histograms  Surplus   New Max  Votes: Ballots   Yosemite 2 37/60 40/60 41/60: 142

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  105 25/60 (20%) Max Yosemite     105 40/60  (20.1%)  40/60 Redwood     72 40/60  (13.8%)  1 Big Sur     57    (10.8%)  1 Sequoia/Kings Canyon     52 40/60  (10.0%)  1 Lake Tahoe     49 40/60  (9.4%)  1 Lost Coast     45 40/60  (8.7%)  1 Joshua Tree     41    (7.8%)  1 Death Valley     32 40/60  (6.2%)  1 Pt. Reyes     33    (6.3%)  1 Lassen/Lava Beds     21 20/60  (4.0%)  1 Mt. Shasta     15 40/60  (3.0%)  1 None of these     1                Results       Mt. Shasta 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  105 25/60 (20%) Max Yosemite     107 40/60  (20.4%)  40/60 Redwood     75    (14.2%)  1 Big Sur     58    (11.0%)  1 Sequoia/Kings Canyon     53    (10.1%)  1 Lake Tahoe     51 40/60  (9.8%)  1 Lost Coast     50    (9.5%)  1 Joshua Tree     41    (7.8%)  1 Death Valley     33 40/60  (6.4%)  1 Pt. Reyes     33    (6.3%)  1 Lassen/Lava Beds     24    (4.6%)  1 None of these     1                Results       Lassen/Lava Beds 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 6  Votes  105 25/60 (20%) Max Yosemite     110    (20.9%)  40/60 Redwood     78 40/60  (14.9%)  1 Big Sur     60 20/60  (11.4%)  1 Sequoia/Kings Canyon     56 20/60  (10.7%)  1 Lake Tahoe     51 40/60  (9.8%)  1 Lost Coast     53 20/60  (10.1%)  1 Joshua Tree     41    (7.8%)  1 Death Valley     39 40/60  (7.5%)  1 Pt. Reyes     36    (6.8%)  1 None of these     1                Results       Yosemite Equalized               Transfers (to these colors):               Histograms  Surplus   New Max  Votes: Ballots   Yosemite 4 35/60 39/60 40/60: 147

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 7  Votes  105 25/60 (20%) Max Yosemite     107 33/60  (20.4%)  39/60 Redwood     79 18/60  (15.0%)  1 Big Sur     60 42/60  (11.5%)  1 Sequoia/Kings Canyon     56 42/60  (10.8%)  1 Lake Tahoe     52 6/60  (9.9%)  1 Lost Coast     53 24/60  (10.1%)  1 Joshua Tree     41 12/60  (7.8%)  1 Death Valley     39 54/60  (7.6%)  1 Pt. Reyes     36 9/60  (6.9%)  1 None of these     1                Results       Pt. Reyes 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  104 37/60 (20%) Max Yosemite     111 27/60  (21.3%)  39/60 Redwood     91 3/60  (17.4%)  1 Big Sur     67 6/60  (12.8%)  1 Sequoia/Kings Canyon     58 3/60  (11.1%)  1 Lake Tahoe     55 48/60  (10.7%)  1 Lost Coast     56 24/60  (10.8%)  1 Joshua Tree     41 33/60  (7.9%)  1 Death Valley     41 36/60  (8.0%)  1 None of these     5                Results       Yosemite Equalized               Transfers (to these colors):               Histograms  Surplus   New Max  Votes: Ballots   Yosemite 6 50/60 37/60 39/60: 153

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 9  Votes  104 37/60 (20%) Max Yosemite     106 21/60  (20.3%)  37/60 Redwood     92 29/60  (17.7%)  1 Big Sur     67 58/60  (13.0%)  1 Sequoia/Kings Canyon     58 49/60  (11.2%)  1 Lake Tahoe     56 44/60  (10.8%)  1 Lost Coast     56 32/60  (10.8%)  1 Joshua Tree     41 59/60  (8.0%)  1 Death Valley     42 8/60  (8.1%)  1 None of these     5                Results       Joshua Tree 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 10  Votes  104 13/60 (20%) Max Yosemite     108 58/60  (20.9%)  37/60 Redwood     100 38/60  (19.3%)  1 Big Sur     75 7/60  (14.4%)  1 Sequoia/Kings Canyon     62 58/60  (12.1%)  1 Lake Tahoe     64 7/60  (12.3%)  1 Lost Coast     63 41/60  (12.2%)  1 Death Valley     45 31/60  (8.7%)  1 None of these     7                Results       Yosemite Equalized               Transfers (to these colors):               Histograms  Surplus   New Max  Votes: Ballots   Yosemite 4 45/60 36/60 37/60: 154

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 11  Votes  104 13/60 (20%) Max Yosemite     106 24/60  (20.4%)  36/60 Redwood     101 24/60  (19.5%)  1 Big Sur     75 36/60  (14.5%)  1 Sequoia/Kings Canyon     63 24/60  (12.2%)  1 Lake Tahoe     64 36/60  (12.4%)  1 Lost Coast     63 48/60  (12.2%)  1 Death Valley     45 48/60  (8.8%)  1 None of these     7                Results       Death Valley 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 12  Votes  103 49/60 (20%) Max Yosemite     114    (22.0%)  36/60 Redwood     109 24/60  (21.1%)  1 Big Sur     80 48/60  (15.6%)  1 Sequoia/Kings Canyon     71    (13.7%)  1 Lake Tahoe     75 48/60  (14.6%)  1 Lost Coast     68    (13.1%)  1 None of these     9                Results       Yosemite Equalized     Redwood Elected               Transfers (to these colors):     Transfers (from these colors):               Histograms  Surplus   New Max  Votes: Ballots   Yosemite 10 11/60 32/60 36/60: 165   Redwood 5 35/60 54/60 1: 83 24/60: 45

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 13  Votes  103 49/60 (20%) Max Yosemite     105 54/60  (20.4%)  32/60 Redwood     104 30/60  (20.1%)  54/60 Big Sur     83 56/60  (16.2%)  1 Sequoia/Kings Canyon     75 12/60  (14.5%)  1 Lake Tahoe     79 54/60  (15.4%)  1 Lost Coast     69 34/60  (13.4%)  1 None of these     9                Results       Lost Coast 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 14  Votes  100 37/60 (20%) Max Yosemite     115 42/60  (23.0%)  32/60 Redwood     119 54/60  (23.8%)  54/60 Big Sur     93 36/60  (18.6%)  1 Sequoia/Kings Canyon     82 14/60  (16.3%)  1 Lake Tahoe     91 34/60  (18.2%)  1 None of these     25                Results       Yosemite Equalized     Redwood Equalized               Transfers (to these colors):     Transfers (from these colors):               Histograms  Surplus   New Max  Votes: Ballots   Yosemite 15 5/60 25/60 32/60: 168 6/60: 29   Redwood 19 17/60 39/60 54/60: 93 28/60: 48

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 15  Votes  100 37/60 (20%) Max Yosemite     103 51/60  (20.6%)  25/60 Redwood     102 57/60  (20.5%)  39/60 Big Sur     100 27/60  (20.0%)  1 Sequoia/Kings Canyon     94 13/60  (18.7%)  1 Lake Tahoe     101 32/60  (20.2%)  1 None of these     25                Results       Lake Tahoe Elected     Yosemite Equalized     Redwood Equalized               Transfers (to these colors):     Transfers (from these colors):               Histograms  Surplus   New Max  Votes: Ballots   Lake Tahoe   55/60 1 1: 58 35/60: 37 21/60: 11   Yosemite 3 14/60 24/60 25/60: 168 21/60: 29   Redwood 2 20/60 38/60 39/60: 93 35/60: 48

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 16  Votes  100 37/60 (20%) Max Yosemite     101 34/60  (20.2%)  24/60 Redwood     102 18/60  (20.3%)  38/60 Big Sur     101 12/60  (20.1%)  1 Sequoia/Kings Canyon     95 18/60  (18.9%)  1 Lake Tahoe     102 38/60  (20.4%)  1 None of these     25                Results       Big Sur Elected               Histograms  Surplus   New Max  Votes: Ballots   Big Sur   35/60 1 1: 70 36/60: 28 22/60: 7

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  100 37/60 (20%) Max Yosemite     101 34/60  (20.2%)  24/60 Redwood     102 18/60  (20.3%)  38/60 Big Sur     101 12/60  (20.1%)  1 Sequoia/Kings Canyon     95 18/60  (18.9%)  1 Lake Tahoe     102 38/60  (20.4%)  1 None of these     25                Results       Sequoia/Kings Canyon 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  123 (25%) Max Yosemite     122 18/60  (24.9%)  24/60 Redwood     135 52/60  (27.6%)  38/60 Big Sur     120 24/60  (24.5%)  1 Lake Tahoe     113 26/60  (23.1%)  1 None of these     36                Results       Redwood Equalized     Big Sur Equalized               Transfers (to these colors):     Transfers (from these colors):               Histograms  Surplus   New Max  Votes: Ballots   Redwood 12 52/60 33/60 38/60: 98 36/60: 70   Big Sur     59/60 1: 69 36/60: 35 27/60: 10 3/60: 37

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  123 (25%) Max Yosemite     125 14/60  (25.5%)  24/60 Redwood     124 34/60  (25.3%)  33/60 Big Sur     123 18/60  (25.1%)  59/60 Lake Tahoe     118 54/60  (24.2%)  1 None of these     36                Results         Lake Tahoe Elected     Yosemite Elected     Redwood Elected     Big Sur 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	40.6%
2nd	26.8%
3rd	15.4%
4th	8.0%
5th	4.2%
6th	2.9%
7th	1.5%
8th	0.4%

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Slices	Percentage of ballots with that many slices
1	28.3%
2	48.2%
3	23.6%