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Mayor (San Francisco, CA; 2018 Special Election)

🔗 sf2018special     (tags: { 2018 , RCV , SF , SF_mayor , SanFrancisco_CA , actual , government , USA , mayor })

Below is the ABIF from the "sf2018special" election (Mayor (San Francisco, CA; 2018 Special Election))

ABIF submission area (show)
Method options
Ballot options

Voting methods: IRV • FPTP • approval • STAR • Pairwise • All methods

Results

🔗https://abif.electorama.com/id/sf2018special

Below are the results of the election represented above using various election methods with abiftool/abiflib. The detected ballot type from the ABIF above is "ranked". Some methods may transform these ballots for analysis; see method notices for details. Resubmit the ABIF with "Transform ballots" turned off to minimize the transformations.

Method Winner
IRV/RCV LONDON BREED
FPTP LONDON BREED
Approval MARK LENO
STAR LONDON BREED
Condorcet/Copeland LONDON BREED
Election results summary showing voting method winners
click/tap to expand
tabbed view

IRV/RCV results

sf2018special IRV/RCV result permalink:
🔗https://abif.electorama.com/id/sf2018special/IRV#IRV

  • IRV/RCV Winner: LONDON BREED with 116,020 votes (45.7%) in final round
  • Runner-up: MARK LENO with 113,652 votes (44.7%) in final round
  • Exhausted ballots in final round: 24,344 (9.6%)
  • Number of rounds: 9
  • Ballots counted in final round: 229,672 (90.4%)
  • Majority of ballots: 127,009 (50.0%)
  • Total ballots: 254,016
Round 1 Round 2 Round 3 Round 4 Round 5 Round 6 Round 7 Round 8 Round 9
Overview:
Active ballots: 254,016 (100.0%)

Exhausted ballots: 2,618 (1.0%)
Counted ballots: 251,398 (99.0%)
Winning threshold: 125,700 (49.49%)
TIE(†): JEFF_SHEEHY, LAWRENCE_STARK_DAGES, RAFAEL_MANDELMAN, WRITE_IN
Overview:
Active ballots: 254,016 (100.0%)

Exhausted ballots: 2,618 (1.0%)
Counted ballots: 251,398 (99.0%)
Winning threshold: 125,700 (49.49%)
 		Overview:
Active ballots: 254,016 (100.0%)

Exhausted ballots: 2,618 (1.0%)
Counted ballots: 251,398 (99.0%)
Winning threshold: 125,700 (49.49%)
 		Overview:
Active ballots: 254,016 (100.0%)

Exhausted ballots: 2,758 (1.1%)
Counted ballots: 251,258 (98.9%)
Winning threshold: 125,630 (49.46%)
 		Overview:
Active ballots: 254,016 (100.0%)

Exhausted ballots: 2,909 (1.1%)
Counted ballots: 251,107 (98.9%)
Winning threshold: 125,554 (49.43%)
 		Overview:
Active ballots: 254,016 (100.0%)

Exhausted ballots: 5,084 (2.0%)
Counted ballots: 248,932 (98.0%)
Winning threshold: 124,467 (49.00%)
 		Overview:
Active ballots: 254,016 (100.0%)

Exhausted ballots: 7,908 (3.1%)
Counted ballots: 246,108 (96.9%)
Winning threshold: 123,055 (48.44%)
 		Overview:
Active ballots: 254,016 (100.0%)

Exhausted ballots: 16,186 (6.4%)
Counted ballots: 237,830 (93.6%)
Winning threshold: 118,916 (46.81%)
 		Overview:
Active ballots: 254,016 (100.0%)

Exhausted ballots: 24,344 (9.6%)
Counted ballots: 229,672 (90.4%)
Winning threshold: 114,837 (45.21%)
LONDON BREED: 91,959 (36.2%)
→
 LONDON BREED: 91,959 (36.2%)
→
 LONDON BREED: 91,962 (36.2%)
→
 LONDON BREED: 92,093 (36.3%)
→
 LONDON BREED: 92,296 (36.3%)
→
 LONDON BREED: 93,466 (36.8%)
→
 LONDON BREED: 96,255 (37.9%)
→
 LONDON BREED: 102,733 (40.4%)
→
 IRV/RCV winner:
LONDON BREED: 116,020 (45.7%)✅
→
MARK LENO: 61,508 (24.2%)
→
 MARK LENO: 61,508 (24.2%)
→
 MARK LENO: 61,508 (24.2%)
→
 MARK LENO: 61,631 (24.3%)
→
 MARK LENO: 61,983 (24.4%)
→
 MARK LENO: 62,960 (24.8%)
→
 MARK LENO: 64,231 (25.3%)
→
 MARK LENO: 68,838 (27.1%)
→
 MARK LENO: 113,652 (44.7%) (🛑eliminated)
→
JANE KIM: 60,953 (24.0%)
→
 JANE KIM: 60,953 (24.0%)
→
 JANE KIM: 60,953 (24.0%)
→
 JANE KIM: 61,047 (24.0%)
→
 JANE KIM: 61,644 (24.3%)
→
 JANE KIM: 62,067 (24.4%)
→
 JANE KIM: 63,474 (25.0%)
→
 JANE KIM: 66,259 (26.1%) (🛑eliminated)
→
 JANE KIM
ANGELA ALIOTO: 17,694 (7.0%)
→
 ANGELA ALIOTO: 17,694 (7.0%)
→
 ANGELA ALIOTO: 17,694 (7.0%)
→
 ANGELA ALIOTO: 17,881 (7.0%)
→
 ANGELA ALIOTO: 18,082 (7.1%)
→
 ANGELA ALIOTO: 19,790 (7.8%)
→
 ANGELA ALIOTO: 22,148 (8.7%) (🛑eliminated)
→
 ANGELA ALIOTO ANGELA ALIOTO
ELLEN LEE ZHOU: 9,587 (3.8%)
→
 ELLEN LEE ZHOU: 9,587 (3.8%)
→
 ELLEN LEE ZHOU: 9,587 (3.8%)
→
 ELLEN LEE ZHOU: 9,697 (3.8%)
→
 ELLEN LEE ZHOU: 9,840 (3.9%)
→
 ELLEN LEE ZHOU: 10,649 (4.2%) (🛑eliminated)
→
 ELLEN LEE ZHOU ELLEN LEE ZHOU ELLEN LEE ZHOU
RICHIE GREENBERG: 7,061 (2.8%)
→
 RICHIE GREENBERG: 7,061 (2.8%)
→
 RICHIE GREENBERG: 7,061 (2.8%)
→
 RICHIE GREENBERG: 7,141 (2.8%)
→
 RICHIE GREENBERG: 7,262 (2.9%) (🛑eliminated)
→
 RICHIE GREENBERG RICHIE GREENBERG RICHIE GREENBERG RICHIE GREENBERG
AMY FARAH WEISS: 1,706 (0.7%)
→
 AMY FARAH WEISS: 1,706 (0.7%)
→
 AMY FARAH WEISS: 1,706 (0.7%)
→
 AMY FARAH WEISS: 1,768 (0.7%) (🛑eliminated)
→
 AMY FARAH WEISS AMY FARAH WEISS AMY FARAH WEISS AMY FARAH WEISS AMY FARAH WEISS
MICHELLE BRAVO: 927 (0.4%)
→
 MICHELLE BRAVO: 927 (0.4%)
→
 MICHELLE BRAVO: 927 (0.4%) (🛑eliminated)
→
 MICHELLE BRAVO MICHELLE BRAVO MICHELLE BRAVO MICHELLE BRAVO MICHELLE BRAVO MICHELLE BRAVO
WRITE-IN ANTOINE R. ROGERS: 3 (0.0%)
→
 WRITE-IN ANTOINE R. ROGERS: 3 (0.0%) (🛑eliminated)
→
 WRITE-IN ANTOINE R. ROGERS WRITE-IN ANTOINE R. ROGERS WRITE-IN ANTOINE R. ROGERS WRITE-IN ANTOINE R. ROGERS WRITE-IN ANTOINE R. ROGERS WRITE-IN ANTOINE R. ROGERS WRITE-IN ANTOINE R. ROGERS
JEFF SHEEHY JEFF SHEEHY JEFF SHEEHY JEFF SHEEHY JEFF SHEEHY JEFF SHEEHY JEFF SHEEHY JEFF SHEEHY JEFF SHEEHY
LAWRENCE ''STARK'' DAGESSE LAWRENCE ''STARK'' DAGESSE LAWRENCE ''STARK'' DAGESSE LAWRENCE ''STARK'' DAGESSE LAWRENCE ''STARK'' DAGESSE LAWRENCE ''STARK'' DAGESSE LAWRENCE ''STARK'' DAGESSE LAWRENCE ''STARK'' DAGESSE LAWRENCE ''STARK'' DAGESSE
RAFAEL MANDELMAN RAFAEL MANDELMAN RAFAEL MANDELMAN RAFAEL MANDELMAN RAFAEL MANDELMAN RAFAEL MANDELMAN RAFAEL MANDELMAN RAFAEL MANDELMAN RAFAEL MANDELMAN
WRITE-IN WRITE-IN WRITE-IN WRITE-IN WRITE-IN WRITE-IN WRITE-IN WRITE-IN WRITE-IN
† - This example employs a limited form "batch elimination", where a batch of multiple candidates who (in sum total) do not have enough remaining top preferences to defeat the next highest candidate in the rankings. †† - When a tie occurs, per the laws in the City and County of San Francisco and the laws in the state of Maine, the losing candidate for the round is randomly eliminated.

FPTP result

"FPTP" is "First-past-the-post", also known as "plurality" or "choose-one"
sf2018special FPTP results permalink:
🔗https://abif.electorama.com/id/sf2018special/FPTP#FPTP
📝
Note — Only using first-choices on ranked ballots

  • FPTP Winner: LONDON BREED with 91,959 first-place votes (36.2%)
  • Runner-up: MARK LENO with 61,508 first-place votes (24.2%)
  • Margin of victory: 30,451 votes (12.0 percentage points)
  • First-place votes
    • LONDON BREED: 91,959 votes (36.2 %)
    • MARK LENO: 61,508 votes (24.2 %)
    • JANE KIM: 60,953 votes (24.0 %)
    • ANGELA ALIOTO: 17,694 votes (7.0 %)
    • ELLEN LEE ZHOU: 9,587 votes (3.8 %)
    • RICHIE GREENBERG: 7,061 votes (2.8 %)
    • AMY FARAH WEISS: 1,706 votes (0.7 %)
    • MICHELLE BRAVO: 927 votes (0.4 %)
    • WRITE-IN ANTOINE R. ROGERS: 3 votes (0.0 %)
    • JEFF SHEEHY: 0 votes (0.0 %)
    • LAWRENCE ''STARK'' DAGESSE: 0 votes (0.0 %)
    • RAFAEL MANDELMAN: 0 votes (0.0 %)
    • WRITE-IN: 0 votes (0.0 %)
  • Blanks: 2,618 (1.0 %)
  • Total ballots: 254,016

Approval voting results

sf2018special approval voting results permalink:
🔗https://abif.electorama.com/id/sf2018special/approval#approval
📝
Note — Approval counts estimated from 254,016 ranked ballots using favorite_viable_half method
Details

The 'favorite_viable_half' conversion algorithm: find the candidate with the most first preferences, and then determine the minimum number of figurative seats that would need to be open in order for the candidate to exceed the Hare quota with the given first-prefs. We use this to estimate how many candidates are likely to be viable candidates.

Using first-choice vote totals as a rough guide, approximately 3 candidates appear viable: LONDON BREED, MARK LENO, and JANE KIM. The approximation then assumes each voter approves up to 2 of their top-ranked viable candidates (half of 3, rounded up). All candidates ranked at or above the lowest-ranked of each ballot's top viable candidates receive approval (considering up to 2 viable candidates per ballot).

See transformed ballots

Note: For Approval, these choose_many ballots are inferred from ranked ballots.

Conversion method: favorite_viable_half

#------- metadata -------
{ballotcount: 254016}
{ballotcount_abif_metadata: "254016"}
{contestid: "0000020"}
{is_ranking_to_rating: true}
#------ candlines ------
=MICHELLE_BRAVO:[MICHELLE BRAVO]
=JEFF_SHEEHY:[JEFF SHEEHY]
=LONDON_BREED:[LONDON BREED]
=LAWRENCE_STARK_DAGES:[LAWRENCE ''STARK'' DAGESSE]
=MARK_LENO:[MARK LENO]
=RAFAEL_MANDELMAN:[RAFAEL MANDELMAN]
=WRITE_IN:[WRITE-IN]
=JANE_KIM:[JANE KIM]
=RICHIE_GREENBERG:[RICHIE GREENBERG]
=ANGELA_ALIOTO:[ANGELA ALIOTO]
=AMY_FARAH_WEISS:[AMY FARAH WEISS]
=ELLEN_LEE_ZHOU:[ELLEN LEE ZHOU]
=wi_ANTOINE_R_ROGERS:[WRITE-IN ANTOINE R. ROGERS]
#------- votelines ------
15654:JANE_KIM/1=MARK_LENO/1
14457:LONDON_BREED/1
11937:LONDON_BREED/1=MARK_LENO/1
11074:JANE_KIM/1=MARK_LENO/1
10848:JANE_KIM/1=LONDON_BREED/1
10484:JANE_KIM/1=MARK_LENO/1
7705:LONDON_BREED/1=MARK_LENO/1
7112:JANE_KIM/1=MARK_LENO/1
6906:JANE_KIM/1=MARK_LENO/1
6188:LONDON_BREED/1=MARK_LENO/1
5888:LONDON_BREED/1=MARK_LENO/1
5811:JANE_KIM/1=MARK_LENO/1
5761:JANE_KIM/1=LONDON_BREED/1
5662:LONDON_BREED/1
4649:JANE_KIM/1=MARK_LENO/1
4514:JANE_KIM/1=MARK_LENO/1
4238:JANE_KIM/1=LONDON_BREED/1
4231:ANGELA_ALIOTO/1=LONDON_BREED/1=MARK_LENO/1
3856:MARK_LENO/1
3118:LONDON_BREED/1=MARK_LENO/1
2981:ANGELA_ALIOTO/1=JANE_KIM/1=LONDON_BREED/1
2956:LONDON_BREED/1
2899:LONDON_BREED/1=MARK_LENO/1
2440:JANE_KIM/1=LONDON_BREED/1
1892:JANE_KIM/1
1798:JANE_KIM/1=LONDON_BREED/1
1715:MARK_LENO/1
1715:ANGELA_ALIOTO/1=LONDON_BREED/1=MARK_LENO/1
1670:ANGELA_ALIOTO/1=JANE_KIM/1=MARK_LENO/1
1490:ANGELA_ALIOTO/1=LONDON_BREED/1=MARK_LENO/1
1431:LONDON_BREED/1
1407:JANE_KIM/1=MARK_LENO/1
1406:LONDON_BREED/1
1192:AMY_FARAH_WEISS/1=JANE_KIM/1=MARK_LENO/1
1187:LONDON_BREED/1
1145:JANE_KIM/1=LONDON_BREED/1
1126:ANGELA_ALIOTO/1=LONDON_BREED/1=MARK_LENO/1
1076:JANE_KIM/1
1014:ANGELA_ALIOTO/1=JANE_KIM/1=MARK_LENO/1
1010:ANGELA_ALIOTO/1=JANE_KIM/1=LONDON_BREED/1
984:JANE_KIM/1=LONDON_BREED/1
982:JANE_KIM/1=MARK_LENO/1
953:LONDON_BREED/1=MARK_LENO/1
926:LONDON_BREED/1
912:ANGELA_ALIOTO/1=JANE_KIM/1=MARK_LENO/1
879:ANGELA_ALIOTO/1=JANE_KIM/1=LONDON_BREED/1
835:LONDON_BREED/1=MARK_LENO/1
834:ANGELA_ALIOTO/1=LONDON_BREED/1
770:MARK_LENO/1
763:LONDON_BREED/1=MARK_LENO/1
759:ANGELA_ALIOTO/1=JANE_KIM/1=MARK_LENO/1
748:JANE_KIM/1=LONDON_BREED/1
732:ELLEN_LEE_ZHOU/1=LONDON_BREED/1
703:LONDON_BREED/1
694:LONDON_BREED/1
688:ANGELA_ALIOTO/1=JANE_KIM/1=LONDON_BREED/1
661:JANE_KIM/1=LONDON_BREED/1
558:ANGELA_ALIOTO/1=ELLEN_LEE_ZHOU/1=LONDON_BREED/1
543:ELLEN_LEE_ZHOU/1=LONDON_BREED/1=MARK_LENO/1
521:LONDON_BREED/1=MARK_LENO/1
496:JANE_KIM/1=MARK_LENO/1
492:JANE_KIM/1=MARK_LENO/1
483:LONDON_BREED/1=MARK_LENO/1
480:JANE_KIM/1=MARK_LENO/1
480:ELLEN_LEE_ZHOU/1=LONDON_BREED/1=MARK_LENO/1
469:ANGELA_ALIOTO/1=LONDON_BREED/1
457:JANE_KIM/1=MARK_LENO/1
454:JANE_KIM/1=LONDON_BREED/1
449:LONDON_BREED/1=MARK_LENO/1
442:ANGELA_ALIOTO/1=MARK_LENO/1
432:ANGELA_ALIOTO/1=LONDON_BREED/1=RICHIE_GREENBERG/1
429:JANE_KIM/1=MARK_LENO/1
418:ELLEN_LEE_ZHOU/1=JANE_KIM/1=LONDON_BREED/1
405:ELLEN_LEE_ZHOU/1=JANE_KIM/1=LONDON_BREED/1
403:LONDON_BREED/1=MARK_LENO/1
399:AMY_FARAH_WEISS/1=JANE_KIM/1=MARK_LENO/1
390:ELLEN_LEE_ZHOU/1=JANE_KIM/1=LONDON_BREED/1
382:LONDON_BREED/1=MARK_LENO/1
371:LONDON_BREED/1=RICHIE_GREENBERG/1
360:ELLEN_LEE_ZHOU/1=JANE_KIM/1=LONDON_BREED/1
359:MARK_LENO/1
355:JANE_KIM/1
355:ANGELA_ALIOTO/1=MARK_LENO/1
355:AMY_FARAH_WEISS/1=JANE_KIM/1=MARK_LENO/1
354:LONDON_BREED/1
350:LONDON_BREED/1
343:LONDON_BREED/1=MARK_LENO/1
343:LONDON_BREED/1
340:LONDON_BREED/1=MARK_LENO/1=RICHIE_GREENBERG/1
339:ELLEN_LEE_ZHOU/1=JANE_KIM/1=MARK_LENO/1
336:MARK_LENO/1
334:ELLEN_LEE_ZHOU/1=LONDON_BREED/1=MARK_LENO/1
325:LONDON_BREED/1
321:LONDON_BREED/1
319:ELLEN_LEE_ZHOU/1=JANE_KIM/1=MARK_LENO/1
318:JANE_KIM/1=MARK_LENO/1
316:LONDON_BREED/1
311:LONDON_BREED/1
311:MARK_LENO/1
308:ANGELA_ALIOTO/1=LONDON_BREED/1
302:AMY_FARAH_WEISS/1=LONDON_BREED/1=MARK_LENO/1
298:LONDON_BREED/1
292:JANE_KIM/1=LONDON_BREED/1
290:MARK_LENO/1
290:ELLEN_LEE_ZHOU/1=LONDON_BREED/1
287:LONDON_BREED/1
278:JANE_KIM/1=LONDON_BREED/1
275:JANE_KIM/1=LONDON_BREED/1
274:ELLEN_LEE_ZHOU/1=JANE_KIM/1=MARK_LENO/1
270:ANGELA_ALIOTO/1=LONDON_BREED/1=RICHIE_GREENBERG/1
269:JANE_KIM/1
268:LONDON_BREED/1
261:LONDON_BREED/1
259:ELLEN_LEE_ZHOU/1=LONDON_BREED/1
251:ANGELA_ALIOTO/1=LONDON_BREED/1
245:ANGELA_ALIOTO/1=MARK_LENO/1=RICHIE_GREENBERG/1
244:JANE_KIM/1
240:JANE_KIM/1
236:MARK_LENO/1
230:LONDON_BREED/1
227:JANE_KIM/1=LONDON_BREED/1
227:ANGELA_ALIOTO/1=LONDON_BREED/1
226:ELLEN_LEE_ZHOU/1=LONDON_BREED/1=MARK_LENO/1
217:ANGELA_ALIOTO/1=MARK_LENO/1=RICHIE_GREENBERG/1
217:AMY_FARAH_WEISS/1=JANE_KIM/1=LONDON_BREED/1
215:LONDON_BREED/1
209:ELLEN_LEE_ZHOU/1=LONDON_BREED/1=RICHIE_GREENBERG/1
208:LONDON_BREED/1=RICHIE_GREENBERG/1
207:LONDON_BREED/1
203:LONDON_BREED/1=MARK_LENO/1=RICHIE_GREENBERG/1
201:LONDON_BREED/1=MARK_LENO/1=RICHIE_GREENBERG/1
200:LONDON_BREED/1=MARK_LENO/1=RICHIE_GREENBERG/1
197:LONDON_BREED/1
197:LONDON_BREED/1
194:ANGELA_ALIOTO/1=ELLEN_LEE_ZHOU/1=LONDON_BREED/1
189:AMY_FARAH_WEISS/1=JANE_KIM/1=MARK_LENO/1
189:LONDON_BREED/1=MARK_LENO/1
187:ANGELA_ALIOTO/1=ELLEN_LEE_ZHOU/1=MARK_LENO/1
187:AMY_FARAH_WEISS/1=JANE_KIM/1=LONDON_BREED/1
186:LONDON_BREED/1=MARK_LENO/1
182:ELLEN_LEE_ZHOU/1=JANE_KIM/1
180:LONDON_BREED/1
180:ANGELA_ALIOTO/1=MARK_LENO/1
173:MARK_LENO/1
172:ELLEN_LEE_ZHOU/1=MARK_LENO/1
172:ELLEN_LEE_ZHOU/1=JANE_KIM/1=MARK_LENO/1
172:MARK_LENO/1=RICHIE_GREENBERG/1
171:ANGELA_ALIOTO/1=JANE_KIM/1
169:ANGELA_ALIOTO/1=MARK_LENO/1
164:JANE_KIM/1=LONDON_BREED/1
161:LONDON_BREED/1
160:AMY_FARAH_WEISS/1=LONDON_BREED/1=MARK_LENO/1
159:ANGELA_ALIOTO/1=MARK_LENO/1
157:LONDON_BREED/1
156:MARK_LENO/1
156:MARK_LENO/1
154:ANGELA_ALIOTO/1=MARK_LENO/1
154:MARK_LENO/1
152:JANE_KIM/1=MARK_LENO/1=RICHIE_GREENBERG/1
150:MARK_LENO/1
148:ANGELA_ALIOTO/1=JANE_KIM/1
148:JANE_KIM/1=LONDON_BREED/1
147:ANGELA_ALIOTO/1=LONDON_BREED/1
141:LONDON_BREED/1=MARK_LENO/1
140:JANE_KIM/1=MARK_LENO/1
137:JANE_KIM/1=MARK_LENO/1=RICHIE_GREENBERG/1
137:ANGELA_ALIOTO/1=JANE_KIM/1
136:JANE_KIM/1
136:JANE_KIM/1=LONDON_BREED/1=RICHIE_GREENBERG/1
134:JANE_KIM/1
133:MARK_LENO/1=RICHIE_GREENBERG/1
127:MARK_LENO/1
126:JANE_KIM/1
126:ANGELA_ALIOTO/1=JANE_KIM/1=RICHIE_GREENBERG/1
119:ANGELA_ALIOTO/1=ELLEN_LEE_ZHOU/1=MARK_LENO/1
116:JANE_KIM/1=LONDON_BREED/1
114:JANE_KIM/1=MARK_LENO/1
109:LONDON_BREED/1
106:MARK_LENO/1
105:ANGELA_ALIOTO/1=ELLEN_LEE_ZHOU/1=JANE_KIM/1
104:JANE_KIM/1=LONDON_BREED/1=MICHELLE_BRAVO/1
104:JANE_KIM/1
103:ANGELA_ALIOTO/1=JANE_KIM/1
101:LONDON_BREED/1=MARK_LENO/1=MICHELLE_BRAVO/1
99:JANE_KIM/1
98:MARK_LENO/1
97:ANGELA_ALIOTO/1=ELLEN_LEE_ZHOU/1=JANE_KIM/1
95:ELLEN_LEE_ZHOU/1=MARK_LENO/1
95:JANE_KIM/1=MARK_LENO/1=RICHIE_GREENBERG/1
95:ELLEN_LEE_ZHOU/1=LONDON_BREED/1=RICHIE_GREENBERG/1
93:JANE_KIM/1=LONDON_BREED/1=RICHIE_GREENBERG/1
93:MARK_LENO/1
93:MARK_LENO/1
93:LONDON_BREED/1=RICHIE_GREENBERG/1
92:JANE_KIM/1
91:AMY_FARAH_WEISS/1=ANGELA_ALIOTO/1=LONDON_BREED/1
90:ANGELA_ALIOTO/1=JANE_KIM/1=RICHIE_GREENBERG/1
89:JANE_KIM/1
88:MARK_LENO/1
87:MARK_LENO/1
87:ELLEN_LEE_ZHOU/1=JANE_KIM/1
86:JANE_KIM/1
82:MARK_LENO/1
82:AMY_FARAH_WEISS/1=JANE_KIM/1=LONDON_BREED/1
82:AMY_FARAH_WEISS/1=ANGELA_ALIOTO/1=JANE_KIM/1
81:MARK_LENO/1
81:MARK_LENO/1
80:JANE_KIM/1
80:JANE_KIM/1=LONDON_BREED/1=RICHIE_GREENBERG/1
79:ANGELA_ALIOTO/1=LONDON_BREED/1
78:ELLEN_LEE_ZHOU/1=MARK_LENO/1=RICHIE_GREENBERG/1
77:ELLEN_LEE_ZHOU/1=MARK_LENO/1=RICHIE_GREENBERG/1
76:LONDON_BREED/1
75:ANGELA_ALIOTO/1=JANE_KIM/1
72:ELLEN_LEE_ZHOU/1=MARK_LENO/1
70:JANE_KIM/1
70:MARK_LENO/1
69:MARK_LENO/1
68:JANE_KIM/1=LONDON_BREED/1=RICHIE_GREENBERG/1
68:ELLEN_LEE_ZHOU/1=JANE_KIM/1=RICHIE_GREENBERG/1
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68:MARK_LENO/1=RICHIE_GREENBERG/1
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68:MARK_LENO/1
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65:MARK_LENO/1=RICHIE_GREENBERG/1
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64:JANE_KIM/1
63:JANE_KIM/1=RICHIE_GREENBERG/1
63:ANGELA_ALIOTO/1=LONDON_BREED/1=MICHELLE_BRAVO/1
63:MARK_LENO/1
63:MARK_LENO/1=RICHIE_GREENBERG/1
62:JANE_KIM/1
62:JANE_KIM/1=MARK_LENO/1=RICHIE_GREENBERG/1
60:ELLEN_LEE_ZHOU/1=JANE_KIM/1=RICHIE_GREENBERG/1
60:JANE_KIM/1=LONDON_BREED/1
59:MARK_LENO/1
58:ANGELA_ALIOTO/1=MARK_LENO/1
57:ELLEN_LEE_ZHOU/1=LONDON_BREED/1
57:AMY_FARAH_WEISS/1=LONDON_BREED/1=MARK_LENO/1
57:ELLEN_LEE_ZHOU/1=JANE_KIM/1
56:JANE_KIM/1
56:JANE_KIM/1
55:LONDON_BREED/1
53:ELLEN_LEE_ZHOU/1=JANE_KIM/1
53:ANGELA_ALIOTO/1=JANE_KIM/1=MICHELLE_BRAVO/1
52:ELLEN_LEE_ZHOU/1=JANE_KIM/1
51:MARK_LENO/1
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49:JANE_KIM/1
49:JANE_KIM/1=RICHIE_GREENBERG/1
49:JANE_KIM/1
47:JANE_KIM/1
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45:LONDON_BREED/1=RICHIE_GREENBERG/1
42:JANE_KIM/1=MARK_LENO/1=MICHELLE_BRAVO/1
39:JANE_KIM/1=MARK_LENO/1=MICHELLE_BRAVO/1
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34:ELLEN_LEE_ZHOU/1=LONDON_BREED/1
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32:JANE_KIM/1
31:MARK_LENO/1=MICHELLE_BRAVO/1=RICHIE_GREENBERG/1
31:AMY_FARAH_WEISS/1=ANGELA_ALIOTO/1=JANE_KIM/1
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30:AMY_FARAH_WEISS/1=ELLEN_LEE_ZHOU/1=LONDON_BREED/1
30:LONDON_BREED/1
29:ANGELA_ALIOTO/1=JANE_KIM/1
29:AMY_FARAH_WEISS/1=ANGELA_ALIOTO/1=LONDON_BREED/1
29:JANE_KIM/1=RICHIE_GREENBERG/1
28:ELLEN_LEE_ZHOU/1=LONDON_BREED/1=MICHELLE_BRAVO/1
28:AMY_FARAH_WEISS/1=LONDON_BREED/1
27:LONDON_BREED/1
27:LONDON_BREED/1=MICHELLE_BRAVO/1
27:JANE_KIM/1=MARK_LENO/1=MICHELLE_BRAVO/1
27:JANE_KIM/1=RICHIE_GREENBERG/1
27:AMY_FARAH_WEISS/1=MARK_LENO/1
27:AMY_FARAH_WEISS/1=ANGELA_ALIOTO/1=MARK_LENO/1
27:LONDON_BREED/1
26:ANGELA_ALIOTO/1=LONDON_BREED/1=MICHELLE_BRAVO/1
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26:MARK_LENO/1
25:ANGELA_ALIOTO/1=JANE_KIM/1=MICHELLE_BRAVO/1
24:MARK_LENO/1=RICHIE_GREENBERG/1
24:ELLEN_LEE_ZHOU/1=MARK_LENO/1
23:JANE_KIM/1
22:MARK_LENO/1
22:LONDON_BREED/1
22:JANE_KIM/1=MARK_LENO/1=MICHELLE_BRAVO/1
21:AMY_FARAH_WEISS/1=ELLEN_LEE_ZHOU/1=JANE_KIM/1
21:JANE_KIM/1=LONDON_BREED/1=MICHELLE_BRAVO/1
21:MARK_LENO/1
20:JANE_KIM/1
20:LONDON_BREED/1=MARK_LENO/1=MICHELLE_BRAVO/1
20:AMY_FARAH_WEISS/1=JANE_KIM/1
20:AMY_FARAH_WEISS/1=JANE_KIM/1
19:JANE_KIM/1=MICHELLE_BRAVO/1=RICHIE_GREENBERG/1
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19:LONDON_BREED/1
19:AMY_FARAH_WEISS/1=MARK_LENO/1
18:ELLEN_LEE_ZHOU/1=JANE_KIM/1=MICHELLE_BRAVO/1
18:JANE_KIM/1=MICHELLE_BRAVO/1
18:AMY_FARAH_WEISS/1=JANE_KIM/1=RICHIE_GREENBERG/1
18:MARK_LENO/1
18:AMY_FARAH_WEISS/1=MARK_LENO/1=RICHIE_GREENBERG/1
18:MARK_LENO/1=MICHELLE_BRAVO/1
18:JANE_KIM/1
18:JANE_KIM/1
18:MARK_LENO/1=MICHELLE_BRAVO/1
17:JANE_KIM/1
17:ELLEN_LEE_ZHOU/1=MARK_LENO/1=MICHELLE_BRAVO/1
17:AMY_FARAH_WEISS/1=MARK_LENO/1=MICHELLE_BRAVO/1
17:LONDON_BREED/1=MICHELLE_BRAVO/1=RICHIE_GREENBERG/1
17:JANE_KIM/1
16:JANE_KIM/1=LONDON_BREED/1=MICHELLE_BRAVO/1
16:MARK_LENO/1
16:ELLEN_LEE_ZHOU/1=JANE_KIM/1
15:MARK_LENO/1
15:JANE_KIM/1=RICHIE_GREENBERG/1
15:LONDON_BREED/1=RICHIE_GREENBERG/1
14:MARK_LENO/1=MICHELLE_BRAVO/1=RICHIE_GREENBERG/1
14:AMY_FARAH_WEISS/1=LONDON_BREED/1
14:MARK_LENO/1
14:JANE_KIM/1=RICHIE_GREENBERG/1
13:LONDON_BREED/1=MICHELLE_BRAVO/1
13:AMY_FARAH_WEISS/1=JANE_KIM/1=MICHELLE_BRAVO/1
12:AMY_FARAH_WEISS/1=ELLEN_LEE_ZHOU/1=LONDON_BREED/1
12:LONDON_BREED/1=MICHELLE_BRAVO/1=RICHIE_GREENBERG/1
11:JANE_KIM/1
11:JANE_KIM/1
11:MARK_LENO/1=RICHIE_GREENBERG/1
11:ELLEN_LEE_ZHOU/1=MARK_LENO/1=MICHELLE_BRAVO/1
11:AMY_FARAH_WEISS/1=LONDON_BREED/1
10:LONDON_BREED/1=MICHELLE_BRAVO/1
10:AMY_FARAH_WEISS/1=ELLEN_LEE_ZHOU/1=MARK_LENO/1
10:JANE_KIM/1=MICHELLE_BRAVO/1
10:MARK_LENO/1=MICHELLE_BRAVO/1
10:AMY_FARAH_WEISS/1=ELLEN_LEE_ZHOU/1=JANE_KIM/1
10:AMY_FARAH_WEISS/1=JANE_KIM/1
10:ELLEN_LEE_ZHOU/1=MARK_LENO/1
10:AMY_FARAH_WEISS/1=LONDON_BREED/1=RICHIE_GREENBERG/1
9:ELLEN_LEE_ZHOU/1=JANE_KIM/1=MICHELLE_BRAVO/1
9:MARK_LENO/1=MICHELLE_BRAVO/1
9:ELLEN_LEE_ZHOU/1=LONDON_BREED/1=MICHELLE_BRAVO/1
9:MARK_LENO/1
8:JANE_KIM/1
8:LONDON_BREED/1=MICHELLE_BRAVO/1
8:AMY_FARAH_WEISS/1=LONDON_BREED/1=MICHELLE_BRAVO/1
8:JANE_KIM/1=MICHELLE_BRAVO/1
8:MARK_LENO/1=MICHELLE_BRAVO/1
8:AMY_FARAH_WEISS/1=LONDON_BREED/1
8:JANE_KIM/1
7:JANE_KIM/1=MICHELLE_BRAVO/1
7:MARK_LENO/1=MICHELLE_BRAVO/1
7:AMY_FARAH_WEISS/1=LONDON_BREED/1
7:LONDON_BREED/1=MICHELLE_BRAVO/1
7:JANE_KIM/1
7:LONDON_BREED/1=MICHELLE_BRAVO/1
7:AMY_FARAH_WEISS/1=MARK_LENO/1
7:AMY_FARAH_WEISS/1=JANE_KIM/1=MICHELLE_BRAVO/1
7:AMY_FARAH_WEISS/1=JANE_KIM/1
7:AMY_FARAH_WEISS/1=LONDON_BREED/1
6:MARK_LENO/1
6:MARK_LENO/1=MICHELLE_BRAVO/1
6:AMY_FARAH_WEISS/1=JANE_KIM/1=RICHIE_GREENBERG/1
6:JANE_KIM/1=MICHELLE_BRAVO/1
6:AMY_FARAH_WEISS/1=MARK_LENO/1=MICHELLE_BRAVO/1
5:AMY_FARAH_WEISS/1=MARK_LENO/1
5:AMY_FARAH_WEISS/1=MARK_LENO/1
5:JANE_KIM/1=MICHELLE_BRAVO/1
4:JANE_KIM/1=RICHIE_GREENBERG/1
4:JANE_KIM/1=MICHELLE_BRAVO/1=RICHIE_GREENBERG/1
4:AMY_FARAH_WEISS/1=LONDON_BREED/1=MICHELLE_BRAVO/1
4:LONDON_BREED/1=MARK_LENO/1
3:AMY_FARAH_WEISS/1=JANE_KIM/1
3:JANE_KIM/1
3:LONDON_BREED/1=MICHELLE_BRAVO/1
3:JANE_KIM/1=MARK_LENO/1
2:AMY_FARAH_WEISS/1=JANE_KIM/1
2:AMY_FARAH_WEISS/1=LONDON_BREED/1
2:JANE_KIM/1=MICHELLE_BRAVO/1
2:LONDON_BREED/1=wi_ANTOINE_R_ROGERS/1
2:LONDON_BREED/1
2:LONDON_BREED/1
1:AMY_FARAH_WEISS/1=MARK_LENO/1
1:LONDON_BREED/1=wi_ANTOINE_R_ROGERS/1
1:JANE_KIM/1=MARK_LENO/1
1:LONDON_BREED/1
  • Approval Winner: MARK LENO
  • Approval Results:
    • MARK LENO (MARK_LENO) — 149,031 approvals (58.67% of ballots) (✅ winner)
    • LONDON BREED (LONDON_BREED) — 135,905 approvals (53.5% of ballots)
    • JANE KIM (JANE_KIM) — 126,715 approvals (49.88% of ballots)
    • ANGELA ALIOTO (ANGELA_ALIOTO) — 26,258 approvals (10.34% of ballots)
    • ELLEN LEE ZHOU (ELLEN_LEE_ZHOU) — 8,732 approvals (3.44% of ballots)
    • RICHIE GREENBERG (RICHIE_GREENBERG) — 5,495 approvals (2.16% of ballots)
    • AMY FARAH WEISS (AMY_FARAH_WEISS) — 4,108 approvals (1.62% of ballots)
    • MICHELLE BRAVO (MICHELLE_BRAVO) — 1,240 approvals (0.49% of ballots)
    • WRITE-IN ANTOINE R. ROGERS (wi_ANTOINE_R_ROGERS) — 3 approvals (0.0% of ballots)
  • Total: 254,016 ballots (457,487 total approvals)

STAR results

sf2018special STAR results permalink:
🔗https://abif.electorama.com/id/sf2018special/STAR#STAR
📝
Note — STAR ratings estimated from ranked ballots using Borda scoring method
Details

The ranked ballots have been converted to STAR ratings using Borda scoring: each candidate receives points equal to (number_of_candidates - their_rank). In this election, we have 13 candidates, so the 1st choice gets 12 points, the 2nd choice gets 11 points, etc. These Borda scores are then used as STAR ratings for tabulation by STAR.

  • STAR winner: LONDON BREED
  • Finalists: MARK LENO vs LONDON BREED
  • Runoff result:
    • MARK LENO: 113,652 votes (44.7%)
    • LONDON BREED: 116,020 votes (45.7%)
    • No preference: 24344 voters (9.6%)
  • Total stars allocated: 7,111,760
  • Total ballots: 254,016
★★★★★★

★★★★★

★★★★★★
★★★★★
★★★★★★
★★★★★
★★★★★★
★★★★★
★★★★★★
(one star above is approximately 142,235 stars allocated by voters)
  • First round:
    • ★#0: MARK LENO received 1,853,717 stars (26.1%) from 165,640 voters (65.2%)
    • ★#1: LONDON BREED received 1,793,409 stars (25.2%) from 157,463 voters (62.0%)
    • ★#2: JANE KIM received 1,640,986 stars (23.1%) from 146,357 voters (57.6%)
    • ★#3: ANGELA ALIOTO received 833,296 stars (11.7%) from 77,024 voters (30.3%)
    • ★#4: AMY FARAH WEISS received 360,258 stars (5.1%) from 35,108 voters (13.8%)
    • ★#5: ELLEN LEE ZHOU received 302,166 stars (4.2%) from 27,548 voters (10.8%)
    • ★#6: RICHIE GREENBERG received 230,406 stars (3.2%) from 20,992 voters (8.3%)
    • ★#7: MICHELLE BRAVO received 97,340 stars (1.4%) from 9,274 voters (3.7%)
    • ★#8: WRITE-IN ANTOINE R. ROGERS received 182 stars (0.0%) from 17 voters (0.0%)
    • ★#9: JEFF SHEEHY received 0 stars (0.0%) from 0 voters (0.0%)
    • ★#9: LAWRENCE ''STARK'' DAGESSE received 0 stars (0.0%) from 0 voters (0.0%)
    • ★#9: RAFAEL MANDELMAN received 0 stars (0.0%) from 0 voters (0.0%)
    • ★#9: WRITE-IN received 0 stars (0.0%) from 0 voters (0.0%)
  • Finalists:
    • ★MARK LENO (✅ winner) preferred by 113,652 of 254,016 voters
    • ★LONDON BREED preferred by 116,020 of 254,016 voters
    • ★No preference between the finalists: 24344

NOTE: Since ratings or stars are not present in the provided ballots, allocated stars are estimated using a Borda-like formula.

Condorcet/Copeland results

sf2018special Condorcet/Copeland results permalink:
🔗https://abif.electorama.com/id/sf2018special/pairwise#pairwise
📝
Note — Condorcet cycle or Copeland tie
Details

"Victories" and "losses" sometimes aren't displayed in the expected location when there are ties and/or cycles in the results, but the numbers provided should be accurate.

  • Winner: LONDON BREED
  • Runner-up: MARK LENO (beats all other candidates except LONDON BREED)
  • Smallest margin: WRITE-IN ANTOINE R. ROGERS over JEFF SHEEHY (17-0; margin: 17)
  • Largest margin: MARK LENO over JEFF SHEEHY (165,640-0; margin: 165,640)
  • Pairwise ties: 6
  • Total ballots: 254,016

Win-loss-tie (Condorcet/Copeland) table

sf2018special w-l-t table permalink:
🔗https://abif.electorama.com/id/sf2018special/pairwise#wlt
Mayor (San Francisco, CA; 2018 Special Election) pairwise matchups
LONDON BREED
(12-0-0)
LONDON BREED
12 victories ⇣
MARK LENO
(11-1-0)
LONDON BREED: 116,020(45.7%)
MARK LENO: 113,652(44.7%)
(No preference: 24,344; 9.6%)
MARK LENO
⇽ 1 loss / 11 victories† ⇣
JANE KIM
(10-2-0)
LONDON BREED: 122,618(48.3%)
JANE KIM: 101,138(39.8%)
(No preference: 30,260; 11.9%)
MARK LENO: 104,217(41.0%)
JANE KIM: 91,836(36.2%)
(No preference: 57,963; 22.8%)
JANE KIM
⇽ 2 losses / 10 victories† ⇣
ANGELA ALIOTO
(9-3-0)
LONDON BREED: 146,577(57.7%)
ANGELA ALIOTO: 42,978(16.9%)
(No preference: 64,461; 25.4%)
MARK LENO: 153,641(60.5%)
ANGELA ALIOTO: 50,610(19.9%)
(No preference: 49,765; 19.6%)
JANE KIM: 136,897(53.9%)
ANGELA ALIOTO: 56,806(22.4%)
(No preference: 60,313; 23.7%)
ANGELA ALIOTO
⇽ 3 losses / 9 victories† ⇣
AMY FARAH WEISS
(8-4-0)
LONDON BREED: 156,569(61.6%)
AMY FARAH WEISS: 28,410(11.2%)
(No preference: 69,037; 27.2%)
MARK LENO: 163,157(64.2%)
AMY FARAH WEISS: 11,543(4.5%)
(No preference: 79,316; 31.2%)
JANE KIM: 144,785(57.0%)
AMY FARAH WEISS: 11,285(4.4%)
(No preference: 97,946; 38.6%)
ANGELA ALIOTO: 76,006(29.9%)
AMY FARAH WEISS: 31,544(12.4%)
(No preference: 146,466; 57.7%)
AMY FARAH WEISS
⇽ 4 losses / 8 victories† ⇣
ELLEN LEE ZHOU
(7-5-0)
LONDON BREED: 152,539(60.1%)
ELLEN LEE ZHOU: 18,633(7.3%)
(No preference: 82,844; 32.6%)
MARK LENO: 162,382(63.9%)
ELLEN LEE ZHOU: 22,070(8.7%)
(No preference: 69,564; 27.4%)
JANE KIM: 143,552(56.5%)
ELLEN LEE ZHOU: 21,260(8.4%)
(No preference: 89,204; 35.1%)
ANGELA ALIOTO: 72,235(28.4%)
ELLEN LEE ZHOU: 23,258(9.2%)
(No preference: 158,523; 62.4%)
AMY FARAH WEISS: 33,672(13.3%)
ELLEN LEE ZHOU: 26,607(10.5%)
(No preference: 193,737; 76.3%)
ELLEN LEE ZHOU
⇽ 5 losses / 7 victories† ⇣
RICHIE GREENBERG
(6-6-0)
LONDON BREED: 154,736(60.9%)
RICHIE GREENBERG: 14,401(5.7%)
(No preference: 84,879; 33.4%)
MARK LENO: 163,348(64.3%)
RICHIE GREENBERG: 16,869(6.6%)
(No preference: 73,799; 29.1%)
JANE KIM: 145,072(57.1%)
RICHIE GREENBERG: 19,093(7.5%)
(No preference: 89,851; 35.4%)
ANGELA ALIOTO: 73,226(28.8%)
RICHIE GREENBERG: 15,871(6.2%)
(No preference: 164,919; 64.9%)
AMY FARAH WEISS: 33,747(13.3%)
RICHIE GREENBERG: 20,351(8.0%)
(No preference: 199,918; 78.7%)
ELLEN LEE ZHOU: 25,807(10.2%)
RICHIE GREENBERG: 18,313(7.2%)
(No preference: 209,896; 82.6%)
RICHIE GREENBERG
⇽ 6 losses / 6 victories† ⇣
MICHELLE BRAVO
(5-7-0)
LONDON BREED: 157,038(61.8%)
MICHELLE BRAVO: 5,587(2.2%)
(No preference: 91,391; 36.0%)
MARK LENO: 165,120(65.0%)
MICHELLE BRAVO: 6,569(2.6%)
(No preference: 82,327; 32.4%)
JANE KIM: 145,921(57.4%)
MICHELLE BRAVO: 7,166(2.8%)
(No preference: 100,929; 39.7%)
ANGELA ALIOTO: 76,319(30.0%)
MICHELLE BRAVO: 6,762(2.7%)
(No preference: 170,935; 67.3%)
AMY FARAH WEISS: 34,517(13.6%)
MICHELLE BRAVO: 8,585(3.4%)
(No preference: 210,914; 83.0%)
ELLEN LEE ZHOU: 26,792(10.5%)
MICHELLE BRAVO: 8,070(3.2%)
(No preference: 219,154; 86.3%)
RICHIE GREENBERG: 20,548(8.1%)
MICHELLE BRAVO: 8,232(3.2%)
(No preference: 225,236; 88.7%)
MICHELLE BRAVO
⇽ 7 losses / 5 victories† ⇣
WRITE-IN ANTOINE R. ROGERS
(4-8-0)
LONDON BREED: 157,460(62.0%)
WRITE-IN ANTOINE R. ROGERS: 8(0.0%)
(No preference: 96,548; 38.0%)
MARK LENO: 165,640(65.2%)
WRITE-IN ANTOINE R. ROGERS: 9(0.0%)
(No preference: 88,367; 34.8%)
JANE KIM: 146,357(57.6%)
WRITE-IN ANTOINE R. ROGERS: 13(0.0%)
(No preference: 107,646; 42.4%)
ANGELA ALIOTO: 77,020(30.3%)
WRITE-IN ANTOINE R. ROGERS: 17(0.0%)
(No preference: 176,979; 69.7%)
AMY FARAH WEISS: 35,108(13.8%)
WRITE-IN ANTOINE R. ROGERS: 17(0.0%)
(No preference: 218,891; 86.2%)
ELLEN LEE ZHOU: 27,547(10.8%)
WRITE-IN ANTOINE R. ROGERS: 17(0.0%)
(No preference: 226,452; 89.1%)
RICHIE GREENBERG: 20,992(8.3%)
WRITE-IN ANTOINE R. ROGERS: 16(0.0%)
(No preference: 233,008; 91.7%)
MICHELLE BRAVO: 9,273(3.7%)
WRITE-IN ANTOINE R. ROGERS: 17(0.0%)
(No preference: 244,726; 96.3%)
WRITE-IN ANTOINE R. ROGERS
⇽ 8 losses / 4 victories† ⇣
JEFF SHEEHY
(0-9-6)
LONDON BREED: 157,463(62.0%)
JEFF SHEEHY: 0(0.0%)
(No preference: 96,553; 38.0%)
MARK LENO: 165,640(65.2%)
JEFF SHEEHY: 0(0.0%)
(No preference: 88,376; 34.8%)
JANE KIM: 146,357(57.6%)
JEFF SHEEHY: 0(0.0%)
(No preference: 107,659; 42.4%)
ANGELA ALIOTO: 77,024(30.3%)
JEFF SHEEHY: 0(0.0%)
(No preference: 176,992; 69.7%)
AMY FARAH WEISS: 35,108(13.8%)
JEFF SHEEHY: 0(0.0%)
(No preference: 218,908; 86.2%)
ELLEN LEE ZHOU: 27,548(10.8%)
JEFF SHEEHY: 0(0.0%)
(No preference: 226,468; 89.2%)
RICHIE GREENBERG: 20,992(8.3%)
JEFF SHEEHY: 0(0.0%)
(No preference: 233,024; 91.7%)
MICHELLE BRAVO: 9,274(3.7%)
JEFF SHEEHY: 0(0.0%)
(No preference: 244,742; 96.3%)
WRITE-IN ANTOINE R. ROGERS: 17(0.0%)
JEFF SHEEHY: 0(0.0%)
(No preference: 253,999; 100.0%)
JEFF SHEEHY
⇽ 9 losses / 0 victories† ⇣
LAWRENCE ''STARK'' DAGESSE
(0-9-6)
LONDON BREED: 157,463(62.0%)
LAWRENCE ''STARK'' DAGESSE: 0(0.0%)
(No preference: 96,553; 38.0%)
MARK LENO: 165,640(65.2%)
LAWRENCE ''STARK'' DAGESSE: 0(0.0%)
(No preference: 88,376; 34.8%)
JANE KIM: 146,357(57.6%)
LAWRENCE ''STARK'' DAGESSE: 0(0.0%)
(No preference: 107,659; 42.4%)
ANGELA ALIOTO: 77,024(30.3%)
LAWRENCE ''STARK'' DAGESSE: 0(0.0%)
(No preference: 176,992; 69.7%)
AMY FARAH WEISS: 35,108(13.8%)
LAWRENCE ''STARK'' DAGESSE: 0(0.0%)
(No preference: 218,908; 86.2%)
ELLEN LEE ZHOU: 27,548(10.8%)
LAWRENCE ''STARK'' DAGESSE: 0(0.0%)
(No preference: 226,468; 89.2%)
RICHIE GREENBERG: 20,992(8.3%)
LAWRENCE ''STARK'' DAGESSE: 0(0.0%)
(No preference: 233,024; 91.7%)
MICHELLE BRAVO: 9,274(3.7%)
LAWRENCE ''STARK'' DAGESSE: 0(0.0%)
(No preference: 244,742; 96.3%)
WRITE-IN ANTOINE R. ROGERS: 17(0.0%)
LAWRENCE ''STARK'' DAGESSE: 0(0.0%)
(No preference: 253,999; 100.0%)
JEFF SHEEHY: 0(0.0%)
LAWRENCE ''STARK'' DAGESSE: 0(0.0%)†
(No preference: 254,016; 100.0%)
LAWRENCE ''STARK'' DAGESSE
⇽ 9 losses / 0 victories† ⇣
RAFAEL MANDELMAN
(0-9-6)
LONDON BREED: 157,463(62.0%)
RAFAEL MANDELMAN: 0(0.0%)
(No preference: 96,553; 38.0%)
MARK LENO: 165,640(65.2%)
RAFAEL MANDELMAN: 0(0.0%)
(No preference: 88,376; 34.8%)
JANE KIM: 146,357(57.6%)
RAFAEL MANDELMAN: 0(0.0%)
(No preference: 107,659; 42.4%)
ANGELA ALIOTO: 77,024(30.3%)
RAFAEL MANDELMAN: 0(0.0%)
(No preference: 176,992; 69.7%)
AMY FARAH WEISS: 35,108(13.8%)
RAFAEL MANDELMAN: 0(0.0%)
(No preference: 218,908; 86.2%)
ELLEN LEE ZHOU: 27,548(10.8%)
RAFAEL MANDELMAN: 0(0.0%)
(No preference: 226,468; 89.2%)
RICHIE GREENBERG: 20,992(8.3%)
RAFAEL MANDELMAN: 0(0.0%)
(No preference: 233,024; 91.7%)
MICHELLE BRAVO: 9,274(3.7%)
RAFAEL MANDELMAN: 0(0.0%)
(No preference: 244,742; 96.3%)
WRITE-IN ANTOINE R. ROGERS: 17(0.0%)
RAFAEL MANDELMAN: 0(0.0%)
(No preference: 253,999; 100.0%)
JEFF SHEEHY: 0(0.0%)
RAFAEL MANDELMAN: 0(0.0%)†
(No preference: 254,016; 100.0%)
LAWRENCE ''STARK'' DAGESSE: 0(0.0%)
RAFAEL MANDELMAN: 0(0.0%)†
(No preference: 254,016; 100.0%)
RAFAEL MANDELMAN
⇽ 9 losses / 0 victories† ⇣
WRITE-IN
(0-9-6)
LONDON BREED: 157,463(62.0%)
WRITE-IN: 0(0.0%)
(No preference: 96,553; 38.0%)
MARK LENO: 165,640(65.2%)
WRITE-IN: 0(0.0%)
(No preference: 88,376; 34.8%)
JANE KIM: 146,357(57.6%)
WRITE-IN: 0(0.0%)
(No preference: 107,659; 42.4%)
ANGELA ALIOTO: 77,024(30.3%)
WRITE-IN: 0(0.0%)
(No preference: 176,992; 69.7%)
AMY FARAH WEISS: 35,108(13.8%)
WRITE-IN: 0(0.0%)
(No preference: 218,908; 86.2%)
ELLEN LEE ZHOU: 27,548(10.8%)
WRITE-IN: 0(0.0%)
(No preference: 226,468; 89.2%)
RICHIE GREENBERG: 20,992(8.3%)
WRITE-IN: 0(0.0%)
(No preference: 233,024; 91.7%)
MICHELLE BRAVO: 9,274(3.7%)
WRITE-IN: 0(0.0%)
(No preference: 244,742; 96.3%)
WRITE-IN ANTOINE R. ROGERS: 17(0.0%)
WRITE-IN: 0(0.0%)
(No preference: 253,999; 100.0%)
JEFF SHEEHY: 0(0.0%)
WRITE-IN: 0(0.0%)†
(No preference: 254,016; 100.0%)
LAWRENCE ''STARK'' DAGESSE: 0(0.0%)
WRITE-IN: 0(0.0%)†
(No preference: 254,016; 100.0%)
RAFAEL MANDELMAN: 0(0.0%)
WRITE-IN: 0(0.0%)†
(No preference: 254,016; 100.0%)

Pairwise tournament (Copeland ordered)

sf2018special pairwise diagram permalink:
🔗https://abif.electorama.com/id/sf2018special/pairwise#dot

%3 LONDON_BREED LONDON_BREED 12-0-0 (12 wins, 0 losses, 0 ties) MARK_LENO MARK_LENO 11-1-0 LONDON_BREED->MARK_LENO ← LONDON_BREED: 116020 MARK_LENO: 113652 JANE_KIM JANE_KIM 10-2-0 LONDON_BREED->JANE_KIM ← LONDON_BREED: 122618 JANE_KIM: 101138 ANGELA_ALIOTO ANGELA_ALIOTO 9-3-0 LONDON_BREED->ANGELA_ALIOTO ← LONDON_BREED: 146577 ANGELA_ALIOTO: 42978 AMY_FARAH_WEISS AMY_FARAH_WEISS 8-4-0 LONDON_BREED->AMY_FARAH_WEISS ← LONDON_BREED: 156569 AMY_FARAH_WEISS: 28410 ELLEN_LEE_ZHOU ELLEN_LEE_ZHOU 7-5-0 LONDON_BREED->ELLEN_LEE_ZHOU ← LONDON_BREED: 152539 ELLEN_LEE_ZHOU: 18633 RICHIE_GREENBERG RICHIE_GREENBERG 6-6-0 LONDON_BREED->RICHIE_GREENBERG ← LONDON_BREED: 154736 RICHIE_GREENBERG: 14401 MICHELLE_BRAVO MICHELLE_BRAVO 5-7-0 LONDON_BREED->MICHELLE_BRAVO ← LONDON_BREED: 157038 MICHELLE_BRAVO: 5587 wi_ANTOINE_R_ROGERS wi_ANTOINE_R_ROGERS 4-8-0 LONDON_BREED->wi_ANTOINE_R_ROGERS ← LONDON_BREED: 157460 wi_ANTOINE_R_ROGERS: 8 JEFF_SHEEHY JEFF_SHEEHY 0-9-6 LONDON_BREED->JEFF_SHEEHY ← LONDON_BREED: 157463 JEFF_SHEEHY: 0 LAWRENCE_STARK_DAGES LAWRENCE_STARK_DAGES 0-9-6 LONDON_BREED->LAWRENCE_STARK_DAGES ← LONDON_BREED: 157463 LAWRENCE_STARK_DAGES: 0 RAFAEL_MANDELMAN RAFAEL_MANDELMAN 0-9-6 LONDON_BREED->RAFAEL_MANDELMAN ← LONDON_BREED: 157463 RAFAEL_MANDELMAN: 0 WRITE_IN WRITE_IN 0-9-6 LONDON_BREED->WRITE_IN ← LONDON_BREED: 157463 WRITE_IN: 0 MARK_LENO->JANE_KIM ← MARK_LENO: 104217 JANE_KIM: 91836 MARK_LENO->ANGELA_ALIOTO ← MARK_LENO: 153641 ANGELA_ALIOTO: 50610 MARK_LENO->AMY_FARAH_WEISS ← MARK_LENO: 163157 AMY_FARAH_WEISS: 11543 MARK_LENO->ELLEN_LEE_ZHOU ← MARK_LENO: 162382 ELLEN_LEE_ZHOU: 22070 MARK_LENO->RICHIE_GREENBERG ← MARK_LENO: 163348 RICHIE_GREENBERG: 16869 MARK_LENO->MICHELLE_BRAVO ← MARK_LENO: 165120 MICHELLE_BRAVO: 6569 MARK_LENO->wi_ANTOINE_R_ROGERS ← MARK_LENO: 165640 wi_ANTOINE_R_ROGERS: 9 MARK_LENO->JEFF_SHEEHY ← MARK_LENO: 165640 JEFF_SHEEHY: 0 MARK_LENO->LAWRENCE_STARK_DAGES ← MARK_LENO: 165640 LAWRENCE_STARK_DAGES: 0 MARK_LENO->RAFAEL_MANDELMAN ← MARK_LENO: 165640 RAFAEL_MANDELMAN: 0 MARK_LENO->WRITE_IN ← MARK_LENO: 165640 WRITE_IN: 0 JANE_KIM->ANGELA_ALIOTO ← JANE_KIM: 136897 ANGELA_ALIOTO: 56806 JANE_KIM->AMY_FARAH_WEISS ← JANE_KIM: 144785 AMY_FARAH_WEISS: 11285 JANE_KIM->ELLEN_LEE_ZHOU ← JANE_KIM: 143552 ELLEN_LEE_ZHOU: 21260 JANE_KIM->RICHIE_GREENBERG ← JANE_KIM: 145072 RICHIE_GREENBERG: 19093 JANE_KIM->MICHELLE_BRAVO ← JANE_KIM: 145921 MICHELLE_BRAVO: 7166 JANE_KIM->wi_ANTOINE_R_ROGERS ← JANE_KIM: 146357 wi_ANTOINE_R_ROGERS: 13 JANE_KIM->JEFF_SHEEHY ← JANE_KIM: 146357 JEFF_SHEEHY: 0 JANE_KIM->LAWRENCE_STARK_DAGES ← JANE_KIM: 146357 LAWRENCE_STARK_DAGES: 0 JANE_KIM->RAFAEL_MANDELMAN ← JANE_KIM: 146357 RAFAEL_MANDELMAN: 0 JANE_KIM->WRITE_IN ← JANE_KIM: 146357 WRITE_IN: 0 ANGELA_ALIOTO->AMY_FARAH_WEISS ← ANGELA_ALIOTO: 76006 AMY_FARAH_WEISS: 31544 ANGELA_ALIOTO->ELLEN_LEE_ZHOU ← ANGELA_ALIOTO: 72235 ELLEN_LEE_ZHOU: 23258 ANGELA_ALIOTO->RICHIE_GREENBERG ← ANGELA_ALIOTO: 73226 RICHIE_GREENBERG: 15871 ANGELA_ALIOTO->MICHELLE_BRAVO ← ANGELA_ALIOTO: 76319 MICHELLE_BRAVO: 6762 ANGELA_ALIOTO->wi_ANTOINE_R_ROGERS ← ANGELA_ALIOTO: 77020 wi_ANTOINE_R_ROGERS: 17 ANGELA_ALIOTO->JEFF_SHEEHY ← ANGELA_ALIOTO: 77024 JEFF_SHEEHY: 0 ANGELA_ALIOTO->LAWRENCE_STARK_DAGES ← ANGELA_ALIOTO: 77024 LAWRENCE_STARK_DAGES: 0 ANGELA_ALIOTO->RAFAEL_MANDELMAN ← ANGELA_ALIOTO: 77024 RAFAEL_MANDELMAN: 0 ANGELA_ALIOTO->WRITE_IN ← ANGELA_ALIOTO: 77024 WRITE_IN: 0 AMY_FARAH_WEISS->ELLEN_LEE_ZHOU ← AMY_FARAH_WEISS: 33672 ELLEN_LEE_ZHOU: 26607 AMY_FARAH_WEISS->RICHIE_GREENBERG ← AMY_FARAH_WEISS: 33747 RICHIE_GREENBERG: 20351 AMY_FARAH_WEISS->MICHELLE_BRAVO ← AMY_FARAH_WEISS: 34517 MICHELLE_BRAVO: 8585 AMY_FARAH_WEISS->wi_ANTOINE_R_ROGERS ← AMY_FARAH_WEISS: 35108 wi_ANTOINE_R_ROGERS: 17 AMY_FARAH_WEISS->JEFF_SHEEHY ← AMY_FARAH_WEISS: 35108 JEFF_SHEEHY: 0 AMY_FARAH_WEISS->LAWRENCE_STARK_DAGES ← AMY_FARAH_WEISS: 35108 LAWRENCE_STARK_DAGES: 0 AMY_FARAH_WEISS->RAFAEL_MANDELMAN ← AMY_FARAH_WEISS: 35108 RAFAEL_MANDELMAN: 0 AMY_FARAH_WEISS->WRITE_IN ← AMY_FARAH_WEISS: 35108 WRITE_IN: 0 ELLEN_LEE_ZHOU->RICHIE_GREENBERG ← ELLEN_LEE_ZHOU: 25807 RICHIE_GREENBERG: 18313 ELLEN_LEE_ZHOU->MICHELLE_BRAVO ← ELLEN_LEE_ZHOU: 26792 MICHELLE_BRAVO: 8070 ELLEN_LEE_ZHOU->wi_ANTOINE_R_ROGERS ← ELLEN_LEE_ZHOU: 27547 wi_ANTOINE_R_ROGERS: 17 ELLEN_LEE_ZHOU->JEFF_SHEEHY ← ELLEN_LEE_ZHOU: 27548 JEFF_SHEEHY: 0 ELLEN_LEE_ZHOU->LAWRENCE_STARK_DAGES ← ELLEN_LEE_ZHOU: 27548 LAWRENCE_STARK_DAGES: 0 ELLEN_LEE_ZHOU->RAFAEL_MANDELMAN ← ELLEN_LEE_ZHOU: 27548 RAFAEL_MANDELMAN: 0 ELLEN_LEE_ZHOU->WRITE_IN ← ELLEN_LEE_ZHOU: 27548 WRITE_IN: 0 RICHIE_GREENBERG->MICHELLE_BRAVO ← RICHIE_GREENBERG: 20548 MICHELLE_BRAVO: 8232 RICHIE_GREENBERG->wi_ANTOINE_R_ROGERS ← RICHIE_GREENBERG: 20992 wi_ANTOINE_R_ROGERS: 16 RICHIE_GREENBERG->JEFF_SHEEHY ← RICHIE_GREENBERG: 20992 JEFF_SHEEHY: 0 RICHIE_GREENBERG->LAWRENCE_STARK_DAGES ← RICHIE_GREENBERG: 20992 LAWRENCE_STARK_DAGES: 0 RICHIE_GREENBERG->RAFAEL_MANDELMAN ← RICHIE_GREENBERG: 20992 RAFAEL_MANDELMAN: 0 RICHIE_GREENBERG->WRITE_IN ← RICHIE_GREENBERG: 20992 WRITE_IN: 0 MICHELLE_BRAVO->wi_ANTOINE_R_ROGERS ← MICHELLE_BRAVO: 9273 wi_ANTOINE_R_ROGERS: 17 MICHELLE_BRAVO->JEFF_SHEEHY ← MICHELLE_BRAVO: 9274 JEFF_SHEEHY: 0 MICHELLE_BRAVO->LAWRENCE_STARK_DAGES ← MICHELLE_BRAVO: 9274 LAWRENCE_STARK_DAGES: 0 MICHELLE_BRAVO->RAFAEL_MANDELMAN ← MICHELLE_BRAVO: 9274 RAFAEL_MANDELMAN: 0 MICHELLE_BRAVO->WRITE_IN ← MICHELLE_BRAVO: 9274 WRITE_IN: 0 wi_ANTOINE_R_ROGERS->JEFF_SHEEHY ← wi_ANTOINE_R_ROGERS: 17 JEFF_SHEEHY: 0 wi_ANTOINE_R_ROGERS->LAWRENCE_STARK_DAGES ← wi_ANTOINE_R_ROGERS: 17 LAWRENCE_STARK_DAGES: 0 wi_ANTOINE_R_ROGERS->RAFAEL_MANDELMAN ← wi_ANTOINE_R_ROGERS: 17 RAFAEL_MANDELMAN: 0 wi_ANTOINE_R_ROGERS->WRITE_IN ← wi_ANTOINE_R_ROGERS: 17 WRITE_IN: 0 JEFF_SHEEHY->LAWRENCE_STARK_DAGES ← JEFF_SHEEHY: 0 LAWRENCE_STARK_DAGES: 0 JEFF_SHEEHY->RAFAEL_MANDELMAN ← JEFF_SHEEHY: 0 RAFAEL_MANDELMAN: 0 JEFF_SHEEHY->WRITE_IN ← JEFF_SHEEHY: 0 WRITE_IN: 0 LAWRENCE_STARK_DAGES->JEFF_SHEEHY ← LAWRENCE_STARK_DAGES: 0 JEFF_SHEEHY: 0 LAWRENCE_STARK_DAGES->RAFAEL_MANDELMAN ← LAWRENCE_STARK_DAGES: 0 RAFAEL_MANDELMAN: 0 LAWRENCE_STARK_DAGES->WRITE_IN ← LAWRENCE_STARK_DAGES: 0 WRITE_IN: 0 RAFAEL_MANDELMAN->JEFF_SHEEHY ← RAFAEL_MANDELMAN: 0 JEFF_SHEEHY: 0 RAFAEL_MANDELMAN->LAWRENCE_STARK_DAGES ← RAFAEL_MANDELMAN: 0 LAWRENCE_STARK_DAGES: 0 RAFAEL_MANDELMAN->WRITE_IN ← RAFAEL_MANDELMAN: 0 WRITE_IN: 0 WRITE_IN->JEFF_SHEEHY ← WRITE_IN: 0 JEFF_SHEEHY: 0 WRITE_IN->LAWRENCE_STARK_DAGES ← WRITE_IN: 0 LAWRENCE_STARK_DAGES: 0 WRITE_IN->RAFAEL_MANDELMAN ← WRITE_IN: 0 RAFAEL_MANDELMAN: 0

Voting methods: IRV • FPTP • approval • STAR • Pairwise • All methods

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