Disenfranchisement Scheme or Majority Rule? What the Data Shows About Ranked-Choice Voting

Few electoral reforms in modern American history have provoked as swift and coordinated a legislative reaction as Ranked-Choice Voting (RCV) ^{[1], [6]}. Over the past four years, a sweeping policy counter-offensive has transformed election law across the United States. Propelled by prominent conservative think tanks, legislative caucuses, and former administration officials, state lawmakers have moved aggressively to ban the voting method before it takes root ^{[1], [6]}.

Under a standard ranked-choice voting system (also known as instant-runoff voting), voters rank candidates in order of preference—first, second, third, and so on—rather than selecting just one name ^{[1], [3]}. If a candidate secures an outright majority (over 50%) of first-preference votes, they win immediately. If no candidate crosses 50%, the last-place candidate is eliminated, and their ballots are instantly transferred to the remaining voters' designated second choices. This iterative redistribution continues until a candidate captures a true majority of active ballots ^{[1], [7]}.

Opponents characterize the method as a "disaster in disguise" ^[6]. Advocacy groups like the Foundation for Government Accountability (FGA) and the Honest Elections Project argue that RCV violates the constitutional doctrine of "one person, one vote," generates widespread voter confusion, disenfranchises citizens whose ballots become "exhausted," and serves as a partisan tool designed to elect Democrats in right-leaning jurisdictions ^[6].

By mid-2026, 19 states have enacted statewide statutory bans prohibiting the use of RCV in state, federal, or municipal elections ^[1]. Yet an examination of cast vote records, academic literature, election administration data, and federal jurisprudence reveals a striking contrast between the political rhetoric and the empirical reality of how ranked-choice elections function in practice ^{[2], [3], [8], [9]}.

The Legislative Surge: The Anatomy of 19 Statewide Bans

The legislative momentum against ranked-choice voting represents one of the most rapid policy rollouts in state-level politics ^[1]. Prior to 2022, no state had passed an explicit statewide ban on the method. However, following the 2022 midterms—and particularly the high-profile outcome of Alaska's special congressional election—conservative policy organizations drafted model legislation that spread swiftly across state capitols ^{[1], [6]}.

According to tracking data from the National Conference of State Legislatures (NCSL), 19 states have prohibited RCV as of mid-2026: Alabama, Arkansas, Florida, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Missouri, Montana, North Dakota, Ohio, Oklahoma, South Dakota, Tennessee, West Virginia, and Wyoming ^[1].

The core legislative arguments embedded in these bills focus on three central claims ^{[1], [6]}:

• Ballot Deprivation: The assertion that "ballot exhaustion"—which occurs when a voter chooses not to rank all candidates and their favored candidates are eliminated—results in thousands of citizens having their votes "thrown in the trash" ^[6].
• Electoral Transparency: The claim that multi-round algorithmic tabulation obscures election integrity, weakens chain-of-custody confidence, and prevents same-night result reporting ^{[6], [10]}.
• Partisan Manipulation: The argument that RCV is financed by out-of-state progressive philanthropies to fracture conservative coalitions and elect moderate or Democratic candidates in conservative jurisdictions ^[6].

The Alaska 2022 Case Study: Partisan Rigging or Personal Unpopularity?

The primary catalyst for conservative opposition to RCV was the August 2022 Alaska special election for the state's sole U.S. House seat ^{[6], [7]}. In a state that Donald Trump carried by 10 percentage points in 2020, Democrat Mary Peltola defeated two Republicans—former Governor Sarah Palin and businessman Nick Begich III ^[7]. Conservative commentators immediately pointed to the result as proof that RCV manufactures unnatural outcomes by dividing the majority conservative electorate ^[6].

However, forensic analysis of the official Cast Vote Records (CVRs) published by the Alaska Division of Elections tells a fundamentally different story grounded in voter agency and candidate unfavorability ^[7].

The empirical breakdown reveals why Palin lost ^[7]:

• Voter Preference Cross-Over: When Begich was eliminated in Round 1, his 52,536 voters did not behave as a monolithic partisan bloc. While 51.5% (27,053 voters) ranked Palin second, nearly 29.4% (15,467 voters) actively chose the Democrat, Mary Peltola, as their second preference ^[7].
• Deliberate Exhaustion: An additional 21.4% (11,243 Begich voters) intentionally chose not to rank Palin, leaving their second-choice slots blank rather than voting for the former governor ^[7].
• High Net Unfavorability: Public polling by Alaska Survey Research leading into the election showed Palin with a net -24% favorability rating statewide (60% unfavorable vs. 36% favorable), whereas Peltola and Begich held positive favorability ratings across independent and moderate voters.

In short, Peltola did not win because the algorithm was biased; she won because a significant faction of conservative and moderate Alaskan voters explicitly preferred a moderate Democrat over a polarizing Republican candidate ^[7]. Under a traditional single-choice plurality election with Palin and Begich splitting the Republican vote on the same ballot, Peltola's initial 39.7% plurality would have won her the seat outright without any second round occurring at all ^[7].

"The Alaska data proves that voters used the system exactly as intended: to express nuanced preferences. A large group of Nick Begich supporters consciously preferred Mary Peltola or refused to back Sarah Palin. That is not a flaw in tabulation—it is the definition of voter sovereignty." — MIT Election Data and Science Lab Analysis ^[2]

Conservative Victories Under Ranked-Choice Voting

The contention that RCV is structurally biased against conservatives is further undermined by real-world instances where conservative parties and candidates successfully leveraged the system to build winning coalitions ^{[3], [10]}:

• Virginia GOP Nominating Convention (2021): The Republican Party of Virginia utilized ranked-choice voting at its 2021 unassembled convention to nominate its statewide ticket ^[3]. Over six rounds of counting, Glenn Youngkin consolidated delegate support to defeat six primary rivals, securing the nomination with 55% of the vote before going on to win the general election for Governor in a state that had voted Democratic for a decade ^[3].
• Utah Municipal RCV Pilot (2021–2023): Under a bipartisan state pilot program (HB 35), 23 conservative municipalities across Utah—including Lehi, Draper, and Riverton—adopted RCV for municipal elections ^[10]. Comprehensive post-election reviews by the Herbert Institute at Utah Valley University found 94% voter satisfaction and documented that conservative candidates across Utah won decisively without partisan distortion ^[10].

Ballot Exhaustion vs. Runoff Decay: Which System Disenfranchises More Voters?

The central statistical critique levied by the Foundation for Government Accountability is that RCV causes ballot exhaustion, which they equate to "trashed ballots" ^[6]. If a voter ranks only Candidate A in a four-candidate race, and Candidate A is eliminated in the first round, that voter's ballot cannot be transferred to subsequent rounds ^{[6], [8]}.

Across national RCV datasets, the rate of ballot exhaustion in multi-round counts averages between 5% and 11% of total ballots cast ^{[3], [8]}. However, election scientists emphasize that comparing RCV exhaustion to a theoretical world where 100% of voters participate in every round creates a false baseline ^{[3], [11]}. The proper baseline comparison is the alternative system used across the American South and West: the traditional two-round runoff election ^{[3], [11]}.

Comprehensive historical data compiled by FairVote and the Bipartisan Policy Center examining federal and state primary runoffs from 1994 to 2024 demonstrates that turnout drops in 96% of all traditional runoff elections ^{[3], [11]}. In the 2024 primary season, the median turnout drop between the initial primary and the runoff was a staggering 63% ^[3].

In states like Texas, Georgia, and North Carolina, millions of citizens who vote in the first round never return for the runoff weeks later due to voter fatigue, lack of awareness, or schedule conflicts ^{[3], [11]}. By comparison, RCV retains 89% to 95% of active electorate participation through the final round of counting, all while eliminating millions of dollars in administrative runoff costs ^{[3], [10]}.

Voter Comprehension and Ballot Errors: What the Science Shows

Do regular voters understand how to rank candidates, or does the format lead to widespread spoiled ballots? Peer-reviewed political science research provides clear metrics ^{[2], [8], [9]}.

In a seminal study published by political scientists David Kimball and Joseph Anthony analyzing voter participation and residual vote rates across dozens of RCV jurisdictions, the overvote rate (marking two candidates as first choice, which voids the ballot) was found to be under 0.5%—virtually identical to overvote rates on standard single-choice plurality ballots ^[8].

Furthermore, research by Todd Donovan and Caroline Tolbert evaluating voter surveys across multiple election cycles found that between 82% and 88% of voters report that ranking candidates is 'easy to understand,' with strong majorities expressing a preference for ranking over choose-one plurality ballots ^[9].

Constitutional Scrutiny: The 'One Person, One Vote' Doctrine

Opponents frequently argue in state legislatures and legal filings that RCV violates the Equal Protection Clause of the Fourteenth Amendment by granting some voters 'multiple votes' as their secondary preferences are tallied ^{[4], [6]}. However, this legal argument has been repeatedly and unanimously rejected across the federal judiciary ^{[4], [5]}.

• Dudum v. Arntz (9th Cir. 2011): The U.S. Court of Appeals for the Ninth Circuit directly addressed the 'one person, one vote' challenge regarding San Francisco's RCV system ^[4]. The court ruled that RCV does not grant any elector more than one vote, explaining that at every individual round of tabulation, each ballot is counted exactly once for its highest-ranked active candidate ^[4].
• Baber v. Dunlap (D. Me. 2018): Following Maine's adoption of RCV for congressional elections, defeated Republican incumbent Bruce Poliquin challenged the law under the Equal Protection and Due Process Clauses ^[5]. U.S. District Judge Lance Walker rejected the claim, writing that ranking preferences sequentially does not dilute or multiply any citizen's vote, but rather mirrors the constitutional mechanics of an immediate runoff ^[5].
• Minnesota Voters Alliance v. City of Minneapolis (Minn. 2009): The Minnesota Supreme Court unanimously upheld municipal RCV, finding no violation of constitutional uniformity or voting equality provisions.

The Full Picture: Legitimate Administrative Challenges

While empirical research refutes claims of constitutional infirmity and intentional partisan bias, a fair assessment must acknowledge the real operational hurdles and legitimate criticisms associated with ranked-choice voting ^{[2], [6], [10]}:

• Delayed Election Night Reporting: In states with extended mail-in ballot acceptance windows (such as Alaska, which allows 15 days for overseas and military ballots to arrive), the automated elimination rounds cannot mathematically begin until every eligible ballot is scanned ^[7]. This delay can create days or weeks of public suspense, which in a high-distrust political environment can be exploited to sow doubt about election integrity ^[6].
• Software and Audit Complexity: RCV requires specialized, federally certified election management software capable of generating and processing Cast Vote Records (CVRs) ^[10]. Human hand-recounts of multi-round ranked ballots are considerably more complex and labor-intensive than single-mark plurality audits ^[10].
• Ballot Real Estate and Interface Constraints: Multi-column grid ballots take up substantial physical space on paper ballots. In jurisdictions with dozens of municipal races, fitting multiple candidate rankings on a single sheet can force smaller fonts or require multiple paper cards, increasing printing costs and potential voter eye-strain ^[2].
• Theoretical Social Choice Paradoxes: In rare multi-candidate splits (such as the famous 2009 Burlington, Vermont mayoral race), RCV can exhibit 'non-monotonicity,' where a candidate can theoretically lose by gaining additional first-place votes ^[3]. While mathematicians note this occurs in less than 0.5% of real-world elections, it represents a known theoretical limitation of elimination-based algorithms ^[3].

Conclusion

The conservative talking point that ranked-choice voting is an unconstitutional, ballot-trashing scheme designed to suppress conservative majorities reflects partisan positioning rather than empirical election science ^{[1], [3], [6]}.

The data demonstrates that RCV successfully elects majority-supported candidates in over 99.6% of contests, maintains ballot error rates under 1%, and preserves voter participation far more effectively than traditional two-round runoffs, which routinely lose 40% to 63% of their electorate ^{[2], [3], [11]}. While election administrators must actively address legitimate challenges surrounding software auditing, transparent reporting timelines, and ballot design, the wholesale banning of alternative voting methods deprives local communities of a proven tool for securing genuine majority consensus ^{[1], [4], [10]}.