Favorite Pizza
3 ballots
D Winner
3 votes (100%)
B
2 votes (67%)
A
1 vote (33%)
C
1 vote (33%)
Approval Distribution
| Number of Candidates Approved | |||
|---|---|---|---|
| Candidate | 1 | 2 | 3 |
|
All Candidates
(3 voters)
|
— | 66.7% | 33.3% |
|
D
(3 voters)
|
— | 66.7% | 33.3% |
|
B
(2 voters)
|
— | 50.0% | 50.0% |
|
A
(1 voters)
|
— | — | 100.0% |
|
C
(1 voters)
|
— | 100.0% | — |
Co-Approval Matrix
Percentage of voters who approved the row candidate also approved the column candidate
| Approved | D | B | A | C |
|---|---|---|---|---|
| D | — | 66.7% | 33.3% | 33.3% |
| B | 100.0% | — | 50.0% | 0.0% |
| A | 100.0% | 100.0% | — | 0.0% |
| C | 100.0% | 0.0% | 0.0% | — |
Anyone But Analysis
Candidates excluded by voters who approved all other candidates
When electing multiple candidates to a board or committee Proportional Approval Voting ensures that no single voting group dominates the outcome, promoting fair representation and reflecting the diverse preferences of all voters. In scenarios where there are more seats than choices available and where each choice represents a party—this method can allow a popular party to be allocated multiple seats proportionally, mirroring the party’s share of overall support.