Skip to content

Downward monotonicity (San Francisco D7 2020) — AFTER: rank the loser lower, he wins

Generated from sf_d7_downward_after.yaml — do not edit by hand. Regenerate: python STARVote_LH_tabulation_engine/tools_adam/scripts/build_yaml_pages.py.

Method: RCV-IRV (Instant Runoff) · 1 seat · Expected winner: Engardio

Scenario

The BEFORE file (sf_d7_downward_before) exactly, with ONE change: 800 ballots of the form Engardio>Nguyen>Melgar are shifted DOWN to Nguyen>Engardio>Melgar. Nothing else moves. This gives the previous LOSER Engardio LESS first-place support (14119 -> 13319) — yet he now WINS. Why: the shifted votes lift Nguyen's first-round count (10855 -> 11655) just past Melgar's 11652, so MELGAR is eliminated first instead of Nguyen; Melgar's ballots transfer, and Engardio beats Nguyen in the final, 15819-15155. Ranking the loser lower made the loser win — the downward monotonicity paradox (Graham-Squire & McCune, arXiv:2301.12075). As in the Alaska upward case, the paradox works by changing the ORDER of elimination. The Melgar/Nguyen Round-1 gap is just 3 votes — this is a genuine knife-edge, which is why the real, full-scale counts (not a reduced model) are used. Companion page: downward_monotonicity_sf.md.

Ballots

Each row is one voter's ranking, most-preferred first (N: prefix = N identical ballots).

13319:Engardio>Melgar>Nguyen
2500:Melgar>Engardio>Nguyen
3500:Melgar>Nguyen>Engardio
5652:Melgar
6909:Nguyen>Melgar>Engardio
3051:Nguyen>Engardio>Melgar
1695:Nguyen

What the engine says

Round-by-round Sankey diagram: each candidate's votes as a band, and where the votes of an eliminated candidate transferred to.

Where the votes went. Band thickness is votes; a band leaving an eliminated candidate lands on whoever that ballot ranked next, or on inactive if it ranked nobody who was left.

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

--- RCV / Instant-Runoff Voting (single winner) ---
  Downward monotonicity (San Francisco D7 2020) — AFTER: rank the loser lower, he wins
 Tabulating 36626 ballots (ranked ballots).

ROUND 1
Candidate      Votes  Status
-----------  -------  --------
Engardio       13319  Hopeful
Nguyen         11655  Hopeful
Melgar         11652  Rejected

FINAL RESULT
Candidate      Votes  Status
-----------  -------  --------
Engardio       15819  Elected
Nguyen         15155  Rejected
Melgar             0  Rejected
Blank Votes     5652  Rejected


Winner(s) — RCV / Instant-Runoff Voting (single winner)
  Engardio

Full audit — preference matrix, Condorcet, and score distribution

--- Smith Set (the generalized Condorcet winner) ---
The smallest group whose every member beats every candidate outside it —
the honest answer to "who is even in contention?".
   Smith set (1 of 3): Melgar
   Outside (2):        Engardio, Nguyen
   One member ⇒ Melgar is the Condorcet winner, beating every rival head-to-head.
   RCV-IRV winner Engardio is OUTSIDE the Smith set. ✗
      Every member of the set (Melgar) beats Engardio head-to-head, yet
      RCV-IRV elected Engardio anyway. RCV-IRV is not Smith-efficient (nor
      Condorcet-efficient) — this is the shape a center squeeze leaves behind.
   More: 07_Concepts/topics/smith_set.md

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/sf_d7_downward_after.yaml

See also

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_after · monotonicity_star_before · sf_d7_downward_before