# Dummymander A **dummymander** is a gerrymander that backfires (see [[Gerrymandering]]) — a map drawn to maximize a party's seat count that instead costs it seats, because the assumptions about voter behavior baked into the map stop holding. ## The mechanism Gerrymandering works by *cracking* opposition voters across many districts and *packing* them into a few. Maximizing seats requires spreading your own voters thin: instead of a few very safe districts, you accept many districts that are safe **only by a modest margin**. That is the trade. A map that gives a party 60% of the seats in a 52% state is necessarily a map full of districts the party wins by single digits. Those thin margins are priced against an assumed coalition. If the coalition shifts — if turnout patterns change, if a demographic group the mapmakers counted on moves away — every one of those deliberately thin districts flips at once. The very efficiency that made the map aggressive is what makes it fragile. A cautious map with fewer, safer seats would have survived the swing. The term is a piece of redistricting-analyst jargon, most associated with Bernard Grofman and Thomas Brunell's work on how mid-decade and maximalist maps decay across a decade. ## The 2025-2026 case After 2024, Republicans read Trump's popular-vote win as a durable realignment and redrew maps in Texas and elsewhere on that basis — see [[Mid-Decade Redistricting]] and [[Redistricting Timeline 2025-2026]]. The Texas redraw in particular staked several new seats on continued Republican performance among Hispanic voters, and shaved existing margins thinner than they had been before the redistricting to pay for them. The assumption came under immediate strain. [[G. Elliott Morris]] found Republicans had lost an average of 25 points of support among the young, nonwhite, and working-class voters the 2024 gains depended on. Democratic overperformance across Texas in November 2025, and then the [[Texas Senate District 9 Special Election]] flip in January 2026 — a roughly 31-point swing in a district [[Donald Trump]] had won by 17 — prompted analysts to ask openly whether the Texas map had become a dummymander. > [!warning] Unresolved > A dummymander is only reliably identifiable after the election it was drawn for. As of September 2026 the Texas maps are a *candidate* dummymander on the strength of special-election and off-year results, not a confirmed one. Low-turnout specials are weak predictors of general elections. ## Historical examples The canonical cases are maps that aged badly across a decade rather than failing immediately — a party draws thin-margin seats early in the cycle, demographic change erodes them, and the map that delivered a majority in year two delivers a minority in year eight. Mid-decade redraws compress that timeline, because they are typically drawn at a moment of maximum confidence, which is also the moment a coalition is most likely to be at its peak rather than its baseline. ## See also - [[Gerrymandering]] - [[Mid-Decade Redistricting]] - [[Redistricting Timeline 2025-2026]] - [[Texas Senate District 9 Special Election]] - [[The Mathematics of Redistricting]]