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Round 1  Votes  948 13/60 (20%) Max Chris ADAMS     1438    (30.3%)  1 Brian CASHMERE     959    (20.2%)  1 Lester HARVEY     768    (16.2%)  1 Martin DILLON     694    (14.6%)  1 John M HANRAHAN     447    (9.4%)  1 Bill FEATHER     435    (9.2%)  1           Results       Brian CASHMERE Elected     Chris ADAMS Elected               Transfers (to these colors):     Transfers (from these colors):               Histograms  Surplus   New Max  Votes: Ballots   Brian CASHMERE 10 47/60 52/60 1: 902   Chris ADAMS 489 47/60 37/60 1: 1316

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.

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Round 2  Votes  948 13/60 (20%) Max Chris ADAMS     958 28/60  (20.2%)  37/60 Brian CASHMERE     949 8/60  (20.0%)  52/60 Lester HARVEY     877 4/60  (18.5%)  1 Martin DILLON     899 40/60  (19.0%)  1 John M HANRAHAN     540 18/60  (11.4%)  1 Bill FEATHER     516 22/60  (10.9%)  1           Results       Bill FEATHER Defeated               Transfers (to these colors):

No elected candidates could reduce their maxima, so candidates were eliminated instead.
The last-place candidate is eliminated.
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Round 3  Votes  939 1/60 (20%) Max Chris ADAMS     1036 40/60  (22.1%)  37/60 Brian CASHMERE     1016 11/60  (21.6%)  52/60 Lester HARVEY     987 56/60  (21.0%)  1 Martin DILLON     983 11/60  (20.9%)  1 John M HANRAHAN     671 2/60  (14.3%)  1 None of these     46                Results       Martin DILLON Elected     Lester HARVEY Elected               Histograms  Surplus   New Max  Votes: Ballots   Martin DILLON 44 10/60 1 1: 680 23/60: 426 8/60: 192   Lester HARVEY 48 55/60 1 1: 744 23/60: 197 8/60: 241

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.
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Round 4  Votes  939 1/60 (20%) Max Chris ADAMS     1036 40/60  (22.1%)  37/60 Brian CASHMERE     1016 11/60  (21.6%)  52/60 Lester HARVEY     987 56/60  (21.0%)  1 Martin DILLON     983 11/60  (20.9%)  1 John M HANRAHAN     671 2/60  (14.3%)  1 None of these     46                Results       John M HANRAHAN 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  1157 15/60 (25%) Max Chris ADAMS     1152 14/60  (24.9%)  37/60 Brian CASHMERE     1155 35/60  (25.0%)  52/60 Lester HARVEY     1186 43/60  (25.6%)  1 Martin DILLON     1134 28/60  (24.5%)  1 None of these     112                Results       Lester HARVEY Equalized               Transfers (to these colors):               Histograms  Surplus   New Max  Votes: Ballots   Lester HARVEY 29 28/60 58/60 1: 807 23/60: 209 8/60: 266

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 6  Votes  1157 15/60 (25%) Max Chris ADAMS     1161 56/60  (25.1%)  37/60 Brian CASHMERE     1166 47/60  (25.2%)  52/60 Lester HARVEY     1159 49/60  (25.1%)  58/60 Martin DILLON     1140 28/60  (24.6%)  1 None of these     112                Results         Chris ADAMS Elected     Brian CASHMERE Elected     Martin DILLON Elected     Lester HARVEY 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	70.1%
2nd	22.0%

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Slices	Percentage of ballots with that many slices
1	29.8%
2	70.2%