awt logo

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

The approval voting results of sf2018special are below, and can be edited in the field above.

Method Winner
Approval MARK LENO
Election results summary showing voting method winners
click/tap to expand
tabbed view

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"}
#------ 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
68:ANGELA_ALIOTO/1=MARK_LENO/1=MICHELLE_BRAVO/1
68:MARK_LENO/1=RICHIE_GREENBERG/1
68:AMY_FARAH_WEISS/1=LONDON_BREED/1=MARK_LENO/1
68:MARK_LENO/1
67:LONDON_BREED/1
66:ELLEN_LEE_ZHOU/1=LONDON_BREED/1
66:ANGELA_ALIOTO/1=JANE_KIM/1
65:MARK_LENO/1=RICHIE_GREENBERG/1
65:ELLEN_LEE_ZHOU/1=LONDON_BREED/1
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
51:AMY_FARAH_WEISS/1=ANGELA_ALIOTO/1=MARK_LENO/1
49:JANE_KIM/1
49:JANE_KIM/1=RICHIE_GREENBERG/1
49:JANE_KIM/1
47:JANE_KIM/1
46:JANE_KIM/1=LONDON_BREED/1=MICHELLE_BRAVO/1
46:AMY_FARAH_WEISS/1=JANE_KIM/1=LONDON_BREED/1
45:LONDON_BREED/1=MARK_LENO/1=MICHELLE_BRAVO/1
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
38:AMY_FARAH_WEISS/1=MARK_LENO/1=RICHIE_GREENBERG/1
38:JANE_KIM/1
37:LONDON_BREED/1=RICHIE_GREENBERG/1
37:ELLEN_LEE_ZHOU/1=MARK_LENO/1
36:ANGELA_ALIOTO/1=MARK_LENO/1=MICHELLE_BRAVO/1
35:LONDON_BREED/1=MARK_LENO/1=MICHELLE_BRAVO/1
35:LONDON_BREED/1=RICHIE_GREENBERG/1
34:ELLEN_LEE_ZHOU/1=MARK_LENO/1
34:ELLEN_LEE_ZHOU/1=LONDON_BREED/1
34:AMY_FARAH_WEISS/1=JANE_KIM/1
33:LONDON_BREED/1
33:AMY_FARAH_WEISS/1=LONDON_BREED/1=RICHIE_GREENBERG/1
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
31:JANE_KIM/1
30:ELLEN_LEE_ZHOU/1=JANE_KIM/1
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
26:AMY_FARAH_WEISS/1=ELLEN_LEE_ZHOU/1=MARK_LENO/1
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
19:AMY_FARAH_WEISS/1=MARK_LENO/1
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)

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

(homepage)

awt logo
abif.electorama.com is maintained as part of the electorama.com family of websites.
Source code: github.com/electorama/abiftool (for the core library) and github.com/electorama/awt (for the web presentation code)
Bug reports: github.com/electorama/awt/issues
Copyright © 2024, 2025 by Rob Lanphier — All Rights Reserved. Licensed under the AGPL 3.0.
awt logo