Member City Council Dist. 1 - Berkeley (AlamedaCounty; 2022-11-08)

🔗 2022-11-08_AlamedaCounty-Member_City_Council_Dist._1_-_Berkeley (tags: { AlamedaCounty_CA , from-bolson , actual , 2022 , AlamedaCounty-2022 , 2022-11 , CA })

Below is the ABIF from the "2022-11-08_AlamedaCounty-Member_City_Council_Dist._1_-_Berkeley" election (Member City Council Dist. 1 - Berkeley (AlamedaCounty; 2022-11-08))

ABIF submission area (show)

#------- metadata -------
{version: "0.1"}
{ballotcount: 6697}
#------ candlines ------
=[RASHI KESARWANI]:[RASHI KESARWANI]
=[TAMAR MICHAI FREEMAN]:[TAMAR MICHAI FREEMAN]
=[ELISA MIKITEN]:[ELISA MIKITEN]
=Write-in:[Write-in]
#------- votelines ------
1127:[RASHI KESARWANI]
1064:[RASHI KESARWANI]>[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]
679:[ELISA MIKITEN]
645:[ELISA MIKITEN]>[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]
510:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]
470:[RASHI KESARWANI]>[ELISA MIKITEN]
468:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]
424:[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]>[ELISA MIKITEN]
318:[ELISA MIKITEN]>[RASHI KESARWANI]
155:[TAMAR MICHAI FREEMAN]>[ELISA MIKITEN]
147:[TAMAR MICHAI FREEMAN]>[ELISA MIKITEN]>[RASHI KESARWANI]
145:[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]
120:[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]>[ELISA MIKITEN]
115:[TAMAR MICHAI FREEMAN]
31:[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]
23:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]>Write-in
14:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]
11:Write-in
9:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]>Write-in>[RASHI KESARWANI]
8:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]>Write-in
7:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]
6:[ELISA MIKITEN]=[RASHI KESARWANI]
6:[ELISA MIKITEN]>Write-in
6:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]
6:[ELISA MIKITEN]>[RASHI KESARWANI]
6:[RASHI KESARWANI]>Write-in
5:[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]>Write-in>[ELISA MIKITEN]
5:[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]
5:[TAMAR MICHAI FREEMAN]>[ELISA MIKITEN]>Write-in
5:Write-in>[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]
4:[ELISA MIKITEN]=[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]
4:[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]>[ELISA MIKITEN]
4:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]=[RASHI KESARWANI]
4:[RASHI KESARWANI]>Write-in>[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]
4:[ELISA MIKITEN]>Write-in>[TAMAR MICHAI FREEMAN]
4:[RASHI KESARWANI]>Write-in>[TAMAR MICHAI FREEMAN]
4:Write-in>[RASHI KESARWANI]
3:[ELISA MIKITEN]=[TAMAR MICHAI FREEMAN]=[RASHI KESARWANI]
3:[ELISA MIKITEN]>[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]
3:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]
3:[ELISA MIKITEN]>[RASHI KESARWANI]>Write-in
3:[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]>[ELISA MIKITEN]>Write-in
3:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]=[RASHI KESARWANI]
3:[ELISA MIKITEN]>Write-in>[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]
3:[RASHI KESARWANI]>[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]
3:[ELISA MIKITEN]>[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]>Write-in
3:[RASHI KESARWANI]>[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]
3:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]
3:[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]>[ELISA MIKITEN]
3:[RASHI KESARWANI]=Write-in>[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]
3:[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]>Write-in
2:[ELISA MIKITEN]=[TAMAR MICHAI FREEMAN]
2:[RASHI KESARWANI]>[ELISA MIKITEN]>Write-in
2:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]
2:[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]>[ELISA MIKITEN]
2:[ELISA MIKITEN]>[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]
2:[ELISA MIKITEN]>Write-in>[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]
2:[TAMAR MICHAI FREEMAN]>[ELISA MIKITEN]>[RASHI KESARWANI]>Write-in
2:[ELISA MIKITEN]>[RASHI KESARWANI]
2:[ELISA MIKITEN]>[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]
2:[ELISA MIKITEN]=[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]
2:Write-in>[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]
2:[RASHI KESARWANI]>[ELISA MIKITEN]
2:[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]>[ELISA MIKITEN]>Write-in
2:Write-in>[TAMAR MICHAI FREEMAN]>[ELISA MIKITEN]
2:[ELISA MIKITEN]>[RASHI KESARWANI]>Write-in>[TAMAR MICHAI FREEMAN]
2:[ELISA MIKITEN]=[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]
2:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]
2:[ELISA MIKITEN]=[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]
2:[TAMAR MICHAI FREEMAN]>[ELISA MIKITEN]=[RASHI KESARWANI]
1:[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]>[ELISA MIKITEN]
1:[RASHI KESARWANI]>[ELISA MIKITEN]=[TAMAR MICHAI FREEMAN]
1:[ELISA MIKITEN]>[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]
1:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]
1:[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]>[ELISA MIKITEN]
1:[ELISA MIKITEN]>[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]
1:[RASHI KESARWANI]>[ELISA MIKITEN]>Write-in>[TAMAR MICHAI FREEMAN]
1:[ELISA MIKITEN]>[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]=Write-in
1:[RASHI KESARWANI]>[ELISA MIKITEN]
1:[RASHI KESARWANI]>[ELISA MIKITEN]
1:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]=[RASHI KESARWANI]
1:Write-in>[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]
1:[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]>[ELISA MIKITEN]=Write-in
1:[ELISA MIKITEN]=[TAMAR MICHAI FREEMAN]=[RASHI KESARWANI]
1:[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]>[ELISA MIKITEN]
1:[ELISA MIKITEN]=[TAMAR MICHAI FREEMAN]=[RASHI KESARWANI]
1:[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]>Write-in
1:[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]>Write-in
1:[TAMAR MICHAI FREEMAN]>[ELISA MIKITEN]
1:[RASHI KESARWANI]=Write-in>[TAMAR MICHAI FREEMAN]
1:[RASHI KESARWANI]>[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]
1:[TAMAR MICHAI FREEMAN]>[ELISA MIKITEN]>[RASHI KESARWANI]
1:[ELISA MIKITEN]=[TAMAR MICHAI FREEMAN]=[RASHI KESARWANI]=Write-in
1:[TAMAR MICHAI FREEMAN]>[ELISA MIKITEN]>Write-in>[RASHI KESARWANI]
1:[ELISA MIKITEN]
1:[TAMAR MICHAI FREEMAN]>Write-in>[ELISA MIKITEN]
1:[ELISA MIKITEN]>[RASHI KESARWANI]>Write-in
1:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]=Write-in
1:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]>Write-in
1:[RASHI KESARWANI]=Write-in>[ELISA MIKITEN]
1:[RASHI KESARWANI]>[ELISA MIKITEN]
1:[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]>[ELISA MIKITEN]
1:[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]
1:Write-in>[ELISA MIKITEN]>[RASHI KESARWANI]
1:Write-in>[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]
1:[ELISA MIKITEN]>Write-in>[RASHI KESARWANI]
1:Write-in>[ELISA MIKITEN]
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1:[TAMAR MICHAI FREEMAN]=[RASHI KESARWANI]
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1:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]=Write-in
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1:Write-in>[RASHI KESARWANI]>[TAMAR MICHAI FREEMAN]>[ELISA MIKITEN]
1:[ELISA MIKITEN]=[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]
1:[TAMAR MICHAI FREEMAN]>[RASHI KESARWANI]>[ELISA MIKITEN]>Write-in
1:[ELISA MIKITEN]>[TAMAR MICHAI FREEMAN]>Write-in
1:[TAMAR MICHAI FREEMAN]>[ELISA MIKITEN]

Method options

FPTP results?

IRV/RCV results?

IRV extra analysis?

Approval results?

STAR results?

pairwise (Condorcet/Copeland) results?

pairwise tournament diagram?

Ballot options Transform ballots (using ballot-type metadata)?

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

Results

🔗https://abif.electorama.com/id/2022-11-08_AlamedaCounty-Member_City_Council_Dist._1_-_Berkeley

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	RASHI KESARWANI
FPTP	RASHI KESARWANI
Approval	ELISA MIKITEN
STAR	RASHI KESARWANI
Condorcet/Copeland	RASHI KESARWANI

OFF ON tabbed view

IRV/RCV results

2022-11-08_AlamedaCounty-Member_City_Council_Dist._1_-_Berkeley IRV/RCV result permalink:
🔗https://abif.electorama.com/id/2022-11-08_AlamedaCounty-Member_City_Council_Dist._1_-_Berkeley/IRV#IRV

IRV/RCV Winner: RASHI KESARWANI with 3,458 votes (51.6%) in final round
Runner-up: ELISA MIKITEN with 3,078 votes (46.0%) in final round
Exhausted ballots in final round: 161 (2.4%)
Number of rounds: 3
Ballots counted in final round: 6,536 (97.6%)
Majority of ballots: 3,349 (50.0%)
Total ballots: 6,697

Round 1	Round 2	Round 3
Overview: Active ballots: 6,697 (100.0%) Exhausted ballots: 0 (0.0%) Overvotes: 31 (0.5%) Counted ballots: 6,666 (99.5%) Winning threshold: 3,334 (49.78%)	Overview: Active ballots: 6,666 (99.5%) Exhausted ballots: 11 (0.2%) Overvotes: 1 (0.0%) Counted ballots: 6,654 (99.4%) Winning threshold: 3,328 (49.69%)	Overview: Active ballots: 6,665 (99.5%) Exhausted ballots: 127 (1.9%) Overvotes: 2 (0.0%) Counted ballots: 6,536 (97.6%) Winning threshold: 3,269 (48.81%)
RASHI KESARWANI: 3,290 (49.1%) →	RASHI KESARWANI: 3,297 (49.2%) →	IRV/RCV winner: RASHI KESARWANI: 3,458 (51.6%)✅ →
ELISA MIKITEN: 2,754 (41.1%) →	ELISA MIKITEN: 2,762 (41.2%) →	ELISA MIKITEN: 3,078 (46.0%) (🛑eliminated) →
TAMAR MICHAI FREEMAN: 592 (8.8%) →	TAMAR MICHAI FREEMAN: 595 (8.9%) (🛑eliminated) →	~~TAMAR MICHAI FREEMAN~~
Write-in: 30 (0.4%) (🛑eliminated) →	~~Write-in~~	~~Write-in~~

Overvotes are ballots where multiple candidates are ranked at the same, highest-ranking position.

FPTP result

"FPTP" is "First-past-the-post", also known as "plurality" or "choose-one"
2022-11-08_AlamedaCounty-Member_City_Council_Dist._1_-_Berkeley FPTP results permalink:
🔗https://abif.electorama.com/id/2022-11-08_AlamedaCounty-Member_City_Council_Dist._1_-_Berkeley/FPTP#FPTP

FPTP Winner: RASHI KESARWANI with 3,290 first-place votes (49.1%)
Runner-up: ELISA MIKITEN with 2,754 first-place votes (41.1%)
Margin of victory: 536 votes (8.0 percentage points)
First-place votes
- RASHI KESARWANI: 3,290 votes (49.1 %)
- ELISA MIKITEN: 2,754 votes (41.1 %)
- TAMAR MICHAI FREEMAN: 592 votes (8.8 %)
- Write-in: 30 votes (0.4 %)
Overvotes: 31 (0.5 %)
Total ballots: 6,697

Approval voting results

2022-11-08_AlamedaCounty-Member_City_Council_Dist._1_-_Berkeley approval voting results permalink:
🔗https://abif.electorama.com/id/2022-11-08_AlamedaCounty-Member_City_Council_Dist._1_-_Berkeley/approval#approval

📝

Note — Approval counts estimated from 6,697 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: RASHI KESARWANI, ELISA MIKITEN, and TAMAR MICHAI FREEMAN. 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: 6697}
{version: "0.1"}
{ballotcount_abif_metadata: "6697"}
{is_ranking_to_rating: true}
#------ candlines ------
=Write-in:[Write-in]
=[RASHI KESARWANI]:[RASHI KESARWANI]
=[ELISA MIKITEN]:[ELISA MIKITEN]
=[TAMAR MICHAI FREEMAN]:[TAMAR MICHAI FREEMAN]
#------- votelines ------
1127:[RASHI KESARWANI]/1
1064:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1
679:[ELISA MIKITEN]/1
645:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1
510:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
470:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1
468:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
424:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1
318:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1
155:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
147:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
145:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1
120:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1
115:[TAMAR MICHAI FREEMAN]/1
31:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1
23:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
14:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
9:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
8:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
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6:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
6:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1
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5:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1
5:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1
5:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
5:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1=Write-in/1
4:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1
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4:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1=Write-in/1
4:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1=Write-in/1
4:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1=Write-in/1
4:[RASHI KESARWANI]/1=Write-in/1
3:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1
3:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
3:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1
3:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1
3:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
3:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1=Write-in/1
3:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1
3:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1
3:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1
3:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
3:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1
3:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1
2:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1
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2:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1
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2:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
2:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1
2:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1
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1:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
1:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1=Write-in/1
1:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1
1:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1
1:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1
1:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1
1:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
1:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1
1:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
1:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
1:[ELISA MIKITEN]/1
1:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1=Write-in/1
1:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1
1:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
1:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
1:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1
1:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1
1:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1
1:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1=Write-in/1
1:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1=Write-in/1
1:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1=Write-in/1
1:[ELISA MIKITEN]/1=Write-in/1
1:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1=Write-in/1
1:[ELISA MIKITEN]/1=[RASHI KESARWANI]/1
1:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1
1:[TAMAR MICHAI FREEMAN]/1
1:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
1:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1=Write-in/1
1:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1=Write-in/1
1:[RASHI KESARWANI]/1=[TAMAR MICHAI FREEMAN]/1
1:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1
1:[ELISA MIKITEN]/1=[TAMAR MICHAI FREEMAN]/1

Approval Winner: ELISA MIKITEN
Approval Results:
- ELISA MIKITEN — 4,636 approvals (69.23% of ballots) (✅ winner)
- RASHI KESARWANI — 4,452 approvals (66.48% of ballots)
- TAMAR MICHAI FREEMAN — 2,282 approvals (34.07% of ballots)
- Write-in — 39 approvals (0.58% of ballots)
Total: 6,697 ballots (11,409 total approvals)

STAR results

2022-11-08_AlamedaCounty-Member_City_Council_Dist._1_-_Berkeley STAR results permalink:
🔗https://abif.electorama.com/id/2022-11-08_AlamedaCounty-Member_City_Council_Dist._1_-_Berkeley/STAR#STAR

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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 4 candidates, so the 1st choice gets 3 points, the 2nd choice gets 2 points, etc. These Borda scores are then used as STAR ratings for tabulation by STAR.

STAR winner: RASHI KESARWANI
Finalists: RASHI KESARWANI vs ELISA MIKITEN
Runoff result:
- RASHI KESARWANI: 3,464 votes (51.7%)
- ELISA MIKITEN: 3,085 votes (46.1%)
- No preference: 148 voters (2.2%)
Total stars allocated: 32,823
Total ballots: 6,697

★★★★★★

★★★★★

★★★★★★

★★★★★

★★★★★★

★★★★★

★★★★★★

★★★★★

★★★★★★

(one star above is approximately 656 stars allocated by voters)

First round:
- ★#0: RASHI KESARWANI received 12,995 stars (39.6%) from 5,194 voters (77.6%)
- ★#1: ELISA MIKITEN received 12,667 stars (38.6%) from 5,230 voters (78.1%)
- ★#2: TAMAR MICHAI FREEMAN received 6,926 stars (21.1%) from 4,037 voters (60.3%)
- ★#3: Write-in received 235 stars (0.7%) from 130 voters (1.9%)
Finalists:
- ★RASHI KESARWANI (✅ winner) preferred by 3,464 of 6,697 voters
- ★ELISA MIKITEN preferred by 3,085 of 6,697 voters
- ★No preference between the finalists: 148

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

Condorcet/Copeland results

2022-11-08_AlamedaCounty-Member_City_Council_Dist._1_-_Berkeley Condorcet/Copeland results permalink:
🔗https://abif.electorama.com/id/2022-11-08_AlamedaCounty-Member_City_Council_Dist._1_-_Berkeley/pairwise#pairwise

Winner: RASHI KESARWANI
Runner-up: ELISA MIKITEN (beats all other candidates except RASHI KESARWANI)
Smallest margin: RASHI KESARWANI over ELISA MIKITEN (3,464-3,085; margin: 379)
Largest margin: ELISA MIKITEN over Write-in (5,208-61; margin: 5,147)
Pairwise ties: none
Total ballots: 6,697

Win-loss-tie (Condorcet/Copeland) table

2022-11-08_AlamedaCounty-Member_City_Council_Dist._1_-_Berkeley w-l-t table permalink:
🔗https://abif.electorama.com/id/2022-11-08_AlamedaCounty-Member_City_Council_Dist._1_-_Berkeley/pairwise#wlt

Member City Council Dist. 1 - Berkeley (AlamedaCounty; 2022-11-08) pairwise matchups
RASHI KESARWANI (3-0-0)	RASHI KESARWANI 3 victories ⇣
ELISA MIKITEN (2-1-0)	RASHI KESARWANI: 3,464(51.7%) ELISA MIKITEN: 3,085(46.1%) (No preference: 148; 2.2%)	ELISA MIKITEN ⇽ 1 loss / 2 victories^† ⇣
TAMAR MICHAI FREEMAN (1-2-0)	RASHI KESARWANI: 4,308(64.3%) TAMAR MICHAI FREEMAN: 1,675(25.0%) (No preference: 714; 10.7%)	ELISA MIKITEN: 4,332(64.7%) TAMAR MICHAI FREEMAN: 1,202(17.9%) (No preference: 1,163; 17.4%)	TAMAR MICHAI FREEMAN ⇽ 2 losses / 1 victory^† ⇣
Write-in (0-3-0)	RASHI KESARWANI: 5,174(77.3%) Write-in: 87(1.3%) (No preference: 1,436; 21.4%)	ELISA MIKITEN: 5,208(77.8%) Write-in: 61(0.9%) (No preference: 1,428; 21.3%)	TAMAR MICHAI FREEMAN: 4,005(59.8%) Write-in: 75(1.1%) (No preference: 2,617; 39.1%)

Pairwise tournament (Copeland ordered)

2022-11-08_AlamedaCounty-Member_City_Council_Dist._1_-_Berkeley pairwise diagram permalink:
🔗https://abif.electorama.com/id/2022-11-08_AlamedaCounty-Member_City_Council_Dist._1_-_Berkeley/pairwise#dot

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

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