The Black Curtain¶

Generated from Black_Curtain_02_c3_b5_near-clones.yaml — do not edit by hand. Regenerate: python STARVote_LH_tabulation_engine/tools_adam/scripts/build_yaml_pages.py.

Method: STAR (single winner) · 1 seat · Expected winner: Cal

Scenario¶

Election 2 of 4 from "The Black Curtain". Same five voters, same first choices — but now BOTH blocs love Ann and Cal (scores 8 and 9) and everyone hates Bob. Choose-One, RCV-IRV, STAR, and pure Score all elect Cal. Approval ("approve" = video score 5+) ends in a 5–5 coin toss between Ann and Cal — at approval resolution the two near-clones are indistinguishable. Original 0–9 video scores mapped to 0–5: 0→0, 1→1, 4→2, 5→3, 8→4, 9→5. See README_black_curtain.md. Source video: https://www.youtube.com/watch?v=5_ZMruwOZgw Notes doc: https://docs.google.com/document/d/1ntOS5PQ_kkPnaZpDeqLShGv2pz_k6Zom9LnTEdjjd4o BetterVoting template: https://bettervoting.com/p9gwc3/vote This folder on GitHub: https://github.com/masiarek/YAML/tree/master/method_comparisons/black_curtain

Ballots¶

Row 1 = candidate names; each later row is one voter's 0–5 scores (a N × prefix = N identical ballots).

Ann,Bob,Cal
4,0,5   # voter 1 — video 0-9: A=8 B=0 C=9
4,0,5   # voter 2 — video 0-9: A=8 B=0 C=9
4,0,5   # voter 3 — video 0-9: A=8 B=0 C=9
5,0,4   # voter 4 — video 0-9: A=9 B=0 C=8
5,0,4   # voter 5 — video 0-9: A=9 B=0 C=8

What the engine says¶

The count, step by step — the rounds and how the winner is reached:

[Divergence from STAR]
  STAR     = Cal
  Approval = Ann   (differs from STAR)

--- STAR Voting Method (single winner) ---

[STAR Voting]
 Tabulating 5 ballots.
Count × Ann,Bob,Cal
    3 ×   4,  0,  5
    2 ×   5,  0,  4

[STAR Voting: Scoring Round]
 The two highest-scoring candidates advance to the next round.
   Cal           -- 23 -- First place
   Ann           -- 22 -- Second place
   Bob           --  0
 Cal and Ann advance.

[STAR Voting: Automatic Runoff Round]
 The candidate preferred in the most head-to-head matchups wins.
   Cal           -- 3 -- First place
   Ann           -- 2
   Equal Support -- 0
 Cal wins.
   Runoff math:
     5  ballots cast
   − 0  Equal Support (no preference between the two finalists)
     ─
     5  voters with a preference  (majority = 3)
           Cal 3 (60%)  ·  Ann 2 (40%)

[STAR Voting: Winner — STAR Voting Method (single winner)]
 Cal

Full audit — preference matrix, Condorcet, and score distribution¶

--- Runoff (Preference) Matrix ---
Head-to-head / pairwise comparison
Legend: For - Equal Support - Against
        * indicates Top 2 Finalist
               |   * Ann    |    Bob    |  * Cal    |
-----------------------------------------------------
       * Ann > |    ---     |5 - 0 - 0  |2 - 0 - 3  |
         Bob > | 0 - 0 - 5  |   ---     |0 - 0 - 5  |
       * Cal > | 3 - 0 - 2  |5 - 0 - 0  |   ---     |

[Condorcet Winner]
  Condorcet Winner: Cal — matches the STAR winner

[Condorcet Loser]
  Condorcet Loser: Bob — loses every head-to-head matchup

[Score Distribution] (how many ballots gave each star rating)
                Score
Candidate  5  4  3  2  1  0  | Total   Avg
Ann        2  3  0  0  0  0  |    22   4.4
Bob        0  0  0  0  0  5  |     0   0.0
Cal        3  2  0  0  0  0  |    23   4.6

Everything in one file: the _tabulated mirror (regenerated on every run; every analysis forced on).

Run it yourself:

python STARVote_LH_tabulation_engine/starvote_larry_hastings.py method_comparisons/black_curtain/cases/Black_Curtain_02_c3_b5_near-clones.yaml

The Black Curtain¶

Scenario¶

Ballots¶

What the engine says¶

Full audit — preference matrix, Condorcet, and score distribution¶

See also¶