Monotonicity — STAR counterpart (AFTER — X still wins)¶
Generated from monotonicity_star_after.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: X
Scenario¶
The ONLY change from _before: 4 voters raise X to the top (their ballot goes from Y>Z to X>Y, i.e. scores 0,5,3 → 5,3,0). X gained support.
STAR still elects X — raising the winner did not hurt them. Compare the RCV-IRV twin (method_comparisons/monotonicity/cases/monotonicity_irv_after.yaml), where the same change makes X LOSE to Z. The [Divergence from STAR] block below shows RCV-IRV electing Z on these very ballots: STAR is monotone, RCV-IRV is not. See 07_Concepts/monotonicity.md.
Ballots¶
Row 1 = candidate names; each later row is one voter's 0–5 scores (a N × prefix = N identical ballots).
Count:X,Y,Z
16:5,3,0 # X>Y (12 + the 4 who raised X)
8:0,5,3 # Y>Z
10:3,0,5 # Z>X
What the engine says¶
The count, step by step — the rounds and how the winner is reached:
[Divergence from STAR]
STAR = X
RCV-IRV = Z (differs from STAR)
Note: no ballots had tied scores, so RCV-IRV vs STAR here is a genuine
method difference, not a tie-breaking artifact.
Note: Ranked Robin (RCV-RR) agrees with STAR, so RCV-IRV is the lone
outlier — the classic center-squeeze signature.
Full round-by-round reports (generated for review):
RCV-IRV rounds: cases_tabulated/monotonicity_star_after_RCV-IRV_tabulated.txt
--- STAR Voting Method (single winner) ---
[STAR Voting]
Tabulating 34 ballots.
Count × X,Y,Z
16 × 5,3,0
10 × 3,0,5
8 × 0,5,3
[STAR Voting: Scoring Round]
The two highest-scoring candidates advance to the next round.
X -- 110 -- First place
Y -- 88 -- Second place
Z -- 74
X and Y advance.
[STAR Voting: Automatic Runoff Round]
The candidate preferred in the most head-to-head matchups wins.
X -- 26 -- First place
Y -- 8
Equal Support -- 0
X wins.
Runoff math:
34 ballots cast
− 0 Equal Support (no preference between the two finalists)
──
34 voters with a preference (majority = 18)
X 26 (76%) · Y 8 (24%)
[STAR Voting: Winner — STAR Voting Method (single winner)]
X
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
| * X | * Y | Z |
-------------------------------------------------------------
* X > | --- |26 - 0 - 8 |16 - 0 - 18 |
* Y > | 8 - 0 - 26 | --- |24 - 0 - 10 |
Z > | 18 - 0 - 16 |10 - 0 - 24 | --- |
[Condorcet Winner]
No Condorcet winner (majority cycle: X > Y > Z > X)
[Score Distribution] (how many ballots gave each star rating)
Score
Candidate 5 4 3 2 1 0 | Total Avg
X 16 0 10 0 0 8 | 110 3.2
Y 8 0 16 0 0 10 | 88 2.6
Z 10 0 8 0 0 16 | 74 2.2
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/monotonicity/cases/monotonicity_star_after.yaml
See also¶
- Methods disagree on this election — its entry in the divergence review ledger
- Monotonicity (topic hub)
- Glossary · all cases by method
More cases in this set: alaska_upward_after · alaska_upward_before · mono_raise_delete_after · mono_raise_delete_before · monotonicity_irv_after · monotonicity_irv_before · monotonicity_star_before · sf_d7_downward_after · sf_d7_downward_before