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Voting machine

A voting machine is a mechanical or electronic device employed to record and tabulate votes during elections, designed to streamline the process, minimize human error, and deter fraud inherent in manual systems like paper ballots. Originating in the late 19th century amid widespread ballot tampering in U.S. elections, early mechanical models utilized levers, gears, and counters to enable private, direct vote casting within a booth, significantly reducing opportunities for vote buying and stuffing compared to audible or visible voting methods. By the mid-20th century, innovations such as punched-card systems and, later, direct-recording electronic (DRE) machines emerged, offering faster tabulation but introducing dependencies on proprietary software and hardware. Contemporary systems increasingly incorporate paper ballots scanned optically or marked via ballot-marking devices (BMDs) for auditable trails, reflecting empirical recognition that verifiable paper records enhance resilience against errors and potential tampering over purely electronic interfaces lacking such backups. Despite certified machines demonstrating error rates below 0.001% in controlled tests and post-election audits, cybersecurity analyses have exposed exploitable flaws in DRE and networked systems, fueling debates on causal risks from insider access, supply-chain compromises, or remote hacks, even as large-scale manipulations remain unsubstantiated by forensic reviews of recent U.S. contests. Globally, implementations like India's voter-verified paper audit trail (VVPAT)-equipped EVMs and Brazil's nationwide DREs have empirically correlated with diminished fraud indicators, such as booth capturing, through swift, centralized counting and physical verification options.

Historical Development

Mechanical Voting Machines

Mechanical voting machines, particularly lever-operated models, were introduced in the late to mitigate fraud, ballot stuffing, and slow tabulation associated with paper ballots. Jacob H. Myers received U.S. Patent 415,549 for the first practical mechanical voting machine on November 19, 1889, featuring gears and levers to record votes mechanically. This innovation was first implemented in a U.S. in , in 1892. These machines typically consisted of a booth with a of aligned to names and measures. Voters entered, pulled individual to select choices, which locked out opposing options to prevent overvoting, then activated a master to increment counters for each selection while unlocking the booth's curtained exit for . Results were tallied by reading dials on the after polls closed, enabling rapid precinct-level counts compared to hand-counted systems. Manufacturers such as the Myers Voting Machine Company and later competitors like the Automatic Voting Machine Company produced durable models weighing 800 to 1,000 pounds, designed for longevity with minimal electronic components. Lever machines gained prominence in urban U.S. jurisdictions during the early , addressing issues like chain and repeat prevalent in partisan paper ballot eras. By the 1996 , they recorded votes for 20.7% of U.S. voters, primarily in states like and . Their mechanical reliability contributed to few reported failures, though calibration errors or tampering risks existed if not properly sealed. The phase-out of mechanical machines accelerated after the 2000 U.S. presidential election, exacerbated by the Help America Vote Act (HAVA) of 2002, which required voting systems to accommodate voters with disabilities and allow ballot verification and correction—features incompatible with unmodified lever designs lacking audio interfaces or paper records. High maintenance costs, transportation challenges due to size, and absence of voter-verifiable paper audit trails (VVPAT) prompted replacements with optical scan and direct-recording electronic (DRE) systems, often funded by HAVA grants. By 2006, federal guidelines effectively barred non-compliant lever machines in many jurisdictions, though some persisted until 2010 or later in areas like , where they were decommissioned in 2010 after serving over a century.

Punched Card Systems

Punched card voting systems emerged in the United States during the early 1960s as a mechanized alternative to hand-counted paper ballots, enabling faster tabulation through data processing technology adapted from business applications. Political scientist Joseph P. Harris developed the Votomatic system in 1962 while at the , in collaboration with engineers, to address inefficiencies in manual . The system was first deployed in Fulton and DeKalb Counties, , during the 1964 , marking the initial large-scale use of punched cards for elections. In operation, voters inserted a pre-printed card into a handheld Votomatic device aligned with a listing candidates and issues; selections were made by using a to punch out designated holes corresponding to choices. Completed cards were then collected and fed into tabulating machines, either at precincts for immediate partial counts or centrally for full aggregation, with optical or mechanical readers interpreting the perforations to register votes. This method allowed for some voter via physical inspection of cards but lacked real-time feedback, contributing to potential errors from incomplete punches or misalignments. Adoption expanded rapidly in the 1970s and 1980s, with systems, including variants like Datavote, used in over 20 states by 2000, covering approximately 25% of U.S. voters. Their appeal lay in low initial costs and compatibility with existing punch-card infrastructure from industries, though and requirements often strained budgets. Significant operational flaws became evident, including elevated vote rates—undervotes and overvotes—compared to other systems; a 1998 Ohio simulation study recorded error rates up to 10% for punch cards due to voter difficulties in fully detaching chads or avoiding overpunching. A Caltech-MIT analysis of 2000 election data found punch card counties had rates 2-3% higher than optical scan jurisdictions, correlating with demographic factors like lower education levels and minority voter concentrations. The 2000 Florida presidential recount amplified these issues, as incomplete punches produced "hanging chads," "pregnant chads," and ambiguous marks, complicating manual reviews amid varying county standards for valid votes. Palm Beach County's butterfly ballot design exacerbated undervotes by visually separating candidates across pages, leading to over 3,400 undervotes in a county averaging 2-3% historically. These events, while not altering the national outcome, highlighted causal links between punch card mechanics—such as dulling and card thickness—and voter intent misinterpretation, prompting widespread scrutiny of system reliability. The Help America Vote Act of 2002 allocated federal funds to states for replacing punch card and lever machines with verifiable paper-trail systems, effectively phasing out punched cards nationwide by the mid-2000s. Residual use persisted in isolated areas, with the final Votomatic deployments in two counties during the 2014 general election. Post-HAVA evaluations confirmed punched cards' obsolescence due to inherent error proneness and lack of auditability without uniform standards for manual .

Transition to Electronic Systems

The introduction of punched card voting systems in the 1960s marked an initial shift toward electronic tabulation, replacing purely mechanical lever machines with methods that used computers to read and count perforated ballots. The Coyle Voting Machine, developed in 1961, employed punch cards for data input, though it faced challenges like high costs and limited privacy. The Votomatic system, introduced in 1965 by Joseph P. Harris, gained widespread adoption, accounting for 37.3% of U.S. voters by 1966 due to its lighter weight (6 pounds) and lower cost ($185, equivalent to about $1,547 in 2023 dollars), enabling faster processing through electronic card readers while addressing some mechanical systems' slowness and fraud risks. Optical scanning systems emerged concurrently in the 1960s, inspired by technologies like Scantron for standardized tests, allowing voters to mark paper ballots that were then electronically scanned for tallying, which improved accuracy over manual counts and punch card ambiguities such as incomplete perforations. These systems represented a hybrid step, retaining paper records while incorporating electronic reading to reduce in aggregation. Direct-recording electronic (DRE) machines, where votes were entered directly via touchscreens or buttons and stored electronically without paper intermediaries, began appearing in limited U.S. jurisdictions in the 1980s and 1990s, motivated by demands for greater speed, multilingual support, and accessibility for voters with disabilities. The 2000 U.S. presidential election in Florida highlighted punched card deficiencies, including "hanging chads" from incomplete punches that led to over 100,000 undervotes and protracted recounts, prompting widespread calls for modernization to enhance reliability and reduce residual vote rates (uncounted ballots). In response, the Help America Vote Act (HAVA) of 2002 allocated federal funds—over $3.9 billion—to states for replacing punch card and lever systems with electronic alternatives like DREs or optical scanners, mandating provisional ballots, statewide voter databases, and accessibility features such as audio interfaces. By 2004, DRE usage surged to about 28% of U.S. jurisdictions, driven by promises of immediate tabulation and error prevention, though this accelerated the phase-out of mechanical systems that had dominated since the late 19th century. This legislative push reflected causal factors like technological maturation—affordable microprocessors enabling compact interfaces—and empirical evidence from pilot programs showing lower error rates, though it also introduced dependencies on software integrity absent in prior mechanical designs. Internationally, similar transitions occurred earlier in some contexts; Brazil deployed nationwide DRE systems by 2000 for rapid counting in large-scale elections, citing efficiency gains over paper methods. Overall, the move prioritized empirical improvements in vote capture and aggregation over tradition, substantiated by data on reduced tabulation times and undervote percentages in early electronic implementations.

Modern Voting Technologies

Optical Scanning Systems

Optical scanning systems tabulate votes from marked paper ballots using light-based sensors to detect voter selections, such as filled ovals or arrows next to candidates. Voters typically receive pre-printed ballots and use a pen or pencil to indicate choices, after which the ballots are inserted into a scanner that measures reflected light to identify marks—darkened areas reflect less light and register as votes. These systems produce an electronic tally while retaining the physical ballots for verification, enabling both precinct-level and central-count configurations. In precinct-count optical scan (PCOS) setups, scanners at polling places immediately tabulate ballots and allow voters to correct errors if the machine rejects overvotes or undervotes, with rejected ballots remade by officials. Central-count optical scan (CCOS) systems collect ballots for scanning at a secure facility post-election, often using high-volume tabulators for efficiency in large jurisdictions. Major vendors include (ES&S) with models like the DS200 and DS850, and ' ImageCast series, certified under federal standards by the U.S. Election Assistance Commission (EAC). As of the 2020 U.S. elections, optical scan systems served approximately 80% of voters nationwide when combined with other paper-based methods, reflecting a post-2000 shift from punched cards following the , which promoted auditable technologies. These systems support risk-limiting audits (RLAs) by providing voter-marked paper records, allowing statistical sampling for manual recounts to confirm electronic results with high confidence. Advantages include a tangible paper trail that mitigates total data loss from software failure, enhanced accessibility via ballot marking devices for disabled voters, and lower residual vote rates compared to direct-recording electronic (DRE) machines—averaging 1.5-2% undervotes in presidential races versus higher in touchscreen systems. Empirical data from multiple elections show optical scans yield accurate tallies when properly calibrated, with manual recounts rarely altering certified outcomes beyond minor discrepancies attributable to human marking errors. However, vulnerabilities exist in scanner software and ; for instance, a analysis of ES&S systems identified exploits allowing unauthorized vote alteration via physical access or ballot definition files, though such attacks require insider access or supply-chain . Calibration issues or poor ballot design can lead to misreads, as seen in isolated cases of overvote detection failures, and while enables recounts, initial tabulation errors from dirty or jammed have occurred, necessitating chain-of-custody protocols. Peer-reviewed studies emphasize that, unlike DREs, optical systems' records limit the impact of hacks to detectable discrepancies resolvable by auditing, provided states mandate post-election .

Direct-Recording Electronic (DRE) Machines

Direct-recording (DRE) voting machines record votes directly into electronic memory using a or similar interface for voter selection, without generating a paper record of individual unless equipped with a (VVPAT). Voters navigate screens to choose candidates and measures, review selections on the , and confirm to cast the vote, which is then stored in the machine's internal memory or on for later tabulation. Following the Help America Vote Act of 2002, which allocated over $3 billion to replace punch-card and lever machines after the 2000 election disputes, DRE systems experienced rapid adoption in the United States, becoming prevalent in numerous states by the 2004 presidential election. Manufacturers such as Diebold, , and Sequoia produced models certified under federal standards, often featuring accessibility aids like audio interfaces for disabled voters. However, early implementations frequently lacked VVPAT, relying solely on electronic records for audits and recounts. Security analyses have revealed significant vulnerabilities in DRE systems, including susceptibility to malware insertion via memory cards used for ballot loading and results transfer. A 2006 study of the Diebold AccuVote-TS demonstrated that a could propagate across machines, altering votes undetectably without physical access beyond standard poll worker procedures. Independent hacking demonstrations, such as those at conferences, have consistently exploited outdated software, weak , and unpatched in various DRE models, underscoring risks from insider threats or supply-chain compromises. The absence of an independent in non-VVPAT DREs complicates , as discrepancies between electronic tallies and manual checks cannot be resolved without trusting the machine's software integrity. In response, states increasingly mandated paper records; by , nearly all U.S. voters cast ballots in jurisdictions using systems with paper components, with pure DRE usage confined to a small number of locales and often supplemented by VVPAT. and a few counties in other states continue limited DRE deployment, but federal and state policies favor auditable paper-based alternatives to mitigate undetected errors or manipulations.

Ballot Marking Devices (BMDs)

Ballot marking devices (BMDs) are electronic voting systems that enable voters to select choices via a touchscreen or similar interface, which then produces a marked paper ballot for tabulation. Unlike direct-recording electronic (DRE) machines, which store votes solely in digital memory without a voter-verifiable paper record, BMDs generate a physical ballot that voters can inspect before submission, allowing for manual audits or recounts based on human-readable marks. The device typically prints ovals or boxes filled according to the voter's touchscreen inputs, and these ballots are subsequently scanned optically or counted by hand. BMDs were developed to comply with the Help America Vote Act (HAVA) of , which mandated accessible voting options for individuals with disabilities, ensuring private and independent ballot marking without assistance. Voters interact with audio, visual, or tactile aids—such as systems or larger displays—to navigate races and candidates, with the system activating ballot printers upon completion. In precincts, one or more BMDs are often stationed alongside hand-marked paper ballots to accommodate the approximately 1-2% of voters requiring assistance, though usage varies by jurisdiction. For instance, states like and deploy BMDs like the Voting Solutions for All People (VSAP) or ExpressVote systems from vendors such as Clear Ballot or Hart InterCivic. Adoption of BMDs expanded post-2016 amid concerns over DRE vulnerabilities, with federal grants facilitating replacements; by , over 90% of U.S. votes were cast on , many marked via BMDs in accessible setups, though hand-marking remains predominant for non-disabled voters. In the and elections, BMDs handled a small but critical fraction of , particularly in urban counties with high disability rates, but incidents of undervotes or misaligned prints prompted reviews in states like and . Proponents argue BMDs enhance uniformity in ballot presentation, reducing errors from ambiguous , while critics note higher costs—up to $3,000 per unit versus $1 for hand-marked sheets—and dependency on software for initial marking. Security analyses highlight BMDs' reliance on auditable paper trails as superior to DREs, enabling risk-limiting audits (RLAs) where statistical samples of ballots verify electronic tallies against manual counts. However, the interface introduces risks: malware could alter printed marks without detection if voters fail to verify, as demonstrated in controlled tests where devices printed unintended selections. Barcoded ballots, used in some systems for reading, pose additional concerns; while human-readable text allows visual checks, discrepancies between text and scannable codes could enable silent if codes override visible marks during tabulation. Empirical evidence from hacking events and academic reviews shows BMD software vulnerabilities to supply-chain attacks or insider exploits, though no verified in-election hacks have occurred at scale. Best practices include offline operation, pre-election logic and accuracy testing, and voter on reviewing printed ballots, with experts recommending systems favoring hand-marked papers for most users to minimize electronic dependencies.

Election Tallying and Verification

Precinct-Count Methods

Precinct-count methods tabulate directly at polling precincts using specialized optical scan voting machines, enabling on-site vote aggregation shortly after polls close. These systems typically involve voters marking paper —either by hand or via ballot marking devices (BMDs)—which are then scanned by precinct count optical scan (PCOS) units to detect and record selections based on filled ovals, bubbles, or other predefined marks. PCOS machines, such as those certified under U.S. Election Assistance Commission (EAC) standards, process in batches, rejecting those with overvotes, undervotes, or ambiguities for manual review by precinct officials before final tabulation. The tabulation process begins with election workers activating the scanner via secure programming, often using precinct-specific ballot definition files loaded pre-election and verified through public logic and accuracy (L&A) tests. Ballots are fed into the machine, which tallies votes electronically while retaining the original paper records in secure boxes for potential recounts or audits. Upon completion, the PCOS generates printed results tapes detailing vote counts by race and candidate, which are signed by poll officials, posted publicly at the precinct for observation, and transmitted—via encrypted memory cards, modems, or physical delivery—to a central election authority for aggregation. This method contrasts with central-count systems by decentralizing initial tallies, reducing transport risks for ballots but requiring robust chain-of-custody protocols at each of thousands of precincts nationwide. Examples of deployed PCOS systems include the (ES&S) DS300, used in counties like , where voters fill ovals on paper ballots scanned precinct-by-precinct for immediate results reporting. Similarly, systems compliant with Voluntary Voting System Guidelines (VVSG) from the EAC facilitate precinct-level counting in over 40 states as of , processing millions of s with reported error rates below 0.1% in certified tests, attributable to standardized mark algorithms. These machines incorporate features like UV detection for authenticity and tamper-evident to safeguard against unauthorized during on-site operations. Precinct-count methods support verification through retained paper ballots, enabling risk-limiting audits (RLAs) or full manual recounts at the local level, as demonstrated in states like where post-election hand tallies of scanned precinct ballots confirmed machine accuracy to within 0.01% in 2020 audits. Empirical data from federal testing shows these systems achieve high reliability when pre-election testing and bipartisan oversight are enforced, though vulnerabilities like unpatched have prompted recommendations for air-gapped operations and post-tabulation hashing of results files.

Central-Count Methods

Central-count methods involve the tabulation of ballots from multiple precincts at a single centralized facility, typically using optical scan technology to process paper ballots. Voters mark paper ballots at polling places, which are then deposited into secure ballot containers; these containers are transported under chain-of-custody protocols to the central location for scanning and counting. This approach contrasts with precinct-count systems, where tabulation occurs on-site immediately after polls close, and is commonly applied to absentee or mail-in ballots, though some jurisdictions use it for all ballots. In the United States, central-count systems are authorized or required in several states, including , where counties establish central counting stations equipped with high-speed optical scanners for efficient processing. For instance, Texas Election Code mandates bipartisan teams and video surveillance at these stations, with ballots from up to thousands of precincts aggregated for tabulation starting after polls close. Other examples include counties in and , where central facilities handle large volumes of optical-scan ballots, often integrating software for ballot sorting, duplicate detection, and preliminary result reporting before certification. As of 2024, systems like Clear Ballot's ClearCount exemplify central-count tabulators, processing ballots at rates exceeding 100 per minute while generating cast-vote records for audits. Proponents highlight central-count methods for enabling specialized, high-capacity equipment that reduces in precinct-level and allows uniform application of tabulation logic across jurisdictions. Empirical data from post-election audits show accuracy rates above 99.9% in well-implemented systems, attributed to controlled environments with trained staff and redundant verification steps, such as pre- and post-scan manual checks. However, these methods necessitate robust , including tamper-evident seals on containers and GPS-tracked , to maintain during movement from polling sites. Security risks in central-count processes primarily stem from the aggregation , where physical to ballots during or at the facility could enable substitution or alteration if chain-of-custody breaks occur. Federal guidelines from the U.S. Election Assistance Commission emphasize mitigating these through locked storage, bipartisan oversight, and logical controls on tabulation software, though incidents like the 2024 Milwaukee tabulator malfunction during a recount of over 30,000 central-counted absentee ballots underscore potential equipment failures under high-volume stress. Unlike decentralized precinct counting, central methods create a single point for potential disruption, but post-tabulation risk-limiting audits can verify results against voter-verified paper records, providing empirical assurance of accuracy.

Risk-Limiting Audits and Manual Recounts

Risk-limiting audits (RLAs) are statistical post-election procedures designed to verify that reported outcomes from voting machines align with voter-marked paper ballots, limiting the probability—typically to 5% or 10%—of certifying an incorrect result to a predefined risk level. These audits require jurisdictions to produce cast vote records from auditable paper trails, such as those generated by or voter-verified paper audit trails (VVPATs) on ballot-marking devices, enabling manual inspection of a random sample of ballots. The process involves drawing ballots proportional to reported vote margins and measuring discrepancies between machine tallies and hand counts; auditing continues until the sample provides sufficient statistical evidence to confirm the outcome or identifies enough errors to potentially reverse it, often halting early for efficiency when results align. RLAs differ from fixed-percentage audits by adapting sample sizes dynamically based on evidence, making them more efficient for large elections while providing probabilistic assurance grounded in hypothesis testing, where the null hypothesis assumes the reported winner is correct. Ballot-polling RLAs compare hand interpretations of ballots to electronic records without needing cast vote records, while comparison audits directly contrast machine outputs against manual tallies of the same ballots, offering higher efficiency in detecting overvotes or undervotes. Empirical pilots, such as California's 2014 RLA trials across 15 counties, demonstrated that audits could confirm outcomes with samples as small as 1-5% of ballots in uncontested races, though larger samples—up to 10% or more—are needed for close margins. Colorado implemented the first statewide RLA law in 2017, conducting audits for all statewide races using a 5% risk limit, which confirmed results in the 2018 and 2020 elections without requiring full hand counts. By 2023, 10 states had enacted RLA laws or pilots, including Georgia's 2021 ballot-polling audits for federal races, which sampled over 300,000 ballots and upheld certified tallies from Dominion and ES&S optical systems with discrepancies under 0.01%. Studies indicate RLAs detect erroneous outcomes with high probability if paper records exist, but their effectiveness depends on accurate voter-verifiable paper and random selection protocols to mitigate sampling bias. Manual recounts, in contrast, entail hand-counting all or a portion of physical ballots to independently verify electronic tabulations from , typically triggered by statutory margins (e.g., under 0.5% in 28 states) or candidate requests within deadlines varying from 2 to 10 days post-certification. Procedures often involve bipartisan teams reinterpreting voter intent on paper ballots from or DRE VVPATs, with observers present, and can include machine-assisted sorting but require full manual tallying to resolve ambiguities like overvotes. Unlike RLAs, manual recounts are deterministic and exhaustive for triggered races but resource-intensive, potentially costing millions and taking weeks; for instance, Georgia's 2020 statewide hand recount of 5 million ballots from took five days and adjusted totals by about 0.01% due to errors in initial feeds, confirming Biden's victory margin. While manual recounts provide absolute verification by reprocessing all ballots, they do not statistically limit risk in advance and may propagate initial tabulation errors if not paired with audits; RLAs, by sampling, offer scalable confirmation for most elections but escalate to full hand counts if discrepancies exceed thresholds. Both methods underscore the necessity of paper ballots for voting machine verification, as jurisdictions without them—relying solely on DREs—cannot perform meaningful audits or recounts, limiting post-election safeguards. Evidence from 2000-2023 recounts shows they rarely change outcomes (less than 1% of cases) but frequently identify clerical errors, reinforcing that while effective for close races, routine RLAs enhance ongoing integrity without the full cost of universal manual checks.

Security Vulnerabilities and Safeguards

Demonstrated Technical Exploits

In September 2006, researchers Ariel Feldman, J. Alex Halderman, and Edward Felten from Princeton University demonstrated a vulnerability in the Diebold AccuVote-TS direct-recording electronic (DRE) voting machine by exploiting its smart card authentication system. Using a smart card reader and writable smart cards, they installed malicious software in under one minute that altered vote tallies and spread via memory cards used for software updates across multiple machines. The exploit required physical access but highlighted risks from insider threats or compromised supply chains, as the malware could propagate virally without further intervention. At the DEF CON 25 conference in August 2017, security researchers demonstrated exploits on multiple voting systems, including Diebold, (ES&S), and Hart InterCivic machines, often achieving unauthorized vote changes or data access in under two minutes with physical access. Subsequent Voting Village events, such as in 2019, revealed ongoing issues like unpatched software vulnerabilities allowing code execution and remote access exploits on misconfigured systems, with hackers altering results on devices from major vendors. These demonstrations, conducted on decommissioned or donated equipment, underscored persistent flaws in outdated operating systems and weak . J. Alex Halderman further demonstrated in 2015 that the WinVote DRE system, used in until 2015, could be remotely hacked over using default credentials and unencrypted connections, allowing vote manipulation from hundreds of yards away. In a report for a court case, Halderman exploited vulnerabilities in ' ImageCast X ballot-marking devices (BMDs) and , bypassing and using built-in features to alter images and vote totals with physical access in minutes. A 2022 CISA advisory confirmed related flaws in ImageCast X, including elevated privilege execution via system services, potentially enabling similar manipulations if exploited. These exploits typically necessitate physical access or network exposure, but they illustrate how software bugs, poor access controls, and legacy code in certified systems can enable tampering, prompting decertifications and calls for paper backups. No evidence links these demonstrations to actual election alterations, though they inform risk assessments for verifiable paper trails.

Empirical Evidence of Risks

In , during the November 2020 general election, tabulators initially reported erroneous unofficial results showing over 3,000 votes for in a precinct that ultimately favored by a wide margin, due to a failure by county officials to properly update election software and definition files before processing ballots. A subsequent hand recount of paper ballots matched the corrected machine totals, confirming no outcome change from the error, but a forensic by professor J. Alex Halderman identified multiple exploitable vulnerabilities in the Dominion system, including default or easily guessable administrator passwords accessible via USB ports, lack of to prevent insertion, and modem capabilities allowing potential remote access without strong . These flaws, present in the deployed hardware, could enable unauthorized vote alterations undetectable without voter-verified paper records, though no evidence of exploitation was found in Antrim. In the 2006 U.S. House District 13 race in , ES&S iVotronic direct-recording electronic (DRE) machines without paper trails produced an anomalously high rate of 14.9% to 18.7%—over 18,000 ballots registering no vote in a contest decided by 369 votes—compared to 2% to 5% rates in contemporaneous races and neighboring counties using different systems. Analyses attributed this discrepancy potentially to touchscreen calibration issues, voter confusion, or deliberate abstentions, but the absence of auditable records prevented definitive resolution, raising concerns about unquantifiable lost votes in unverifiable DRE environments. Similar usability-induced error patterns have been observed in empirical studies, where DRE contributed to vote rates ( plus overvotes) exceeding 2% in some deployments, higher than paper-based optical systems. Election-day malfunctions have disrupted operations and voter access in multiple jurisdictions, exemplifying reliability risks from aging or inadequately maintained equipment. In , during the 2016 presidential election, over 200 optical scanners failed across precincts, forcing reliance on provisional ballots and causing hours-long delays that disenfranchised some voters; post-election reviews linked failures to outdated hardware unable to handle volume. Comparable incidents occurred in 2016 across , , and other states, where machine breakdowns led to provisional voting surges and administrative strain, though impacts on final tallies were mitigated by backups. California's 2007 top-to-bottom review decertified Diebold DRE systems after lab tests mimicking poll worker access demonstrated easy insertion of vote-altering via memory cards, with flaws including poor and unauthorized code execution persisting despite prior patches. Laboratory-simulated real-world scenarios further quantify risks, with research showing 93% of voters failing to detect deliberately altered ballot outputs on DRE-like assistive devices, underscoring detection challenges even with voter verification interfaces. Aggregated data from the Caltech/MIT Voting Technology Project across U.S. elections indicate that while modern machines reduce some pre-2000 punch-card error rates (around 1.5-2% residuals), DRE-specific factors like misalignment or software glitches can elevate effective error rates to 1-4% in tests, particularly without robust auditing. These findings, drawn from post-election analyses and controlled experiments, highlight systemic risks of miscounts or undetected compromises in machine-dependent systems lacking independent verification mechanisms.

Implemented Protections and Best Practices

Voting systems incorporate multiple layers of security measures to mitigate risks of tampering, errors, or unauthorized access, as outlined in the U.S. Election Assistance Commission's (EAC) Voluntary Voting System Guidelines (VVSG) 2.0, adopted in 2021, which emphasize principles such as ballot secrecy, verifiability, and resilience against faults. These guidelines require certified systems to support voter-verifiable paper records, enabling independent audits, and mandate cryptographic protections like digital signatures for software and firmware to detect alterations. Systems must undergo federal testing by accredited labs to verify compliance, including penetration testing for exploitable weaknesses, with states often adding their own certification layers. Operational best practices include pre-election logic and accuracy (L&A) testing, where election officials publicly test machines using sample ballots to confirm accurate tabulation, typically conducted days before voting and witnessed by observers. Physical protections feature tamper-evident seals on hardware ports and memory cards, strict chain-of-custody protocols for transporting devices, and storage in secure facilities with access logs and surveillance. To prevent remote attacks, certified systems operate offline without internet connectivity during voting, using air-gapped networks for any administrative functions, and employ encryption for ballot data storage. Post-election verification relies on risk-limiting audits (RLAs), statistically rigorous methods that sample paper ballots to confirm electronic tallies with a predefined risk limit, such as 5%, ensuring high confidence in outcomes without full recounts unless discrepancies arise. As of 2023, over 20 states have enacted RLA laws, often requiring them for close races or randomly, with tools like ballot comparison audits to detect machine errors. Additional safeguards include bipartisan poll worker teams for machine setup and troubleshooting, parallel manual counts of precinct subsets in some jurisdictions, and vendor-independent source code reviews where mandated. These practices, while not foolproof, provide layered defenses grounded in empirical testing and procedural redundancy.

Controversies and Integrity Debates

Pre-2020 Election Disputes

In the 2000 U.S. presidential election, punch-card voting systems, such as the Votomatic machines used in several counties, became central to disputes over undervotes—ballots that failed to register a presidential choice despite voter intent. These machines required voters to punch holes in cards aligned with candidate names, but incomplete perforations led to "hanging chads" (partially detached paper fragments), "dimpled chads" (indentations without detachment), and other ambiguities, resulting in error rates estimated at 2-5% in affected areas. The controversy escalated in counties like Palm Beach, where a poorly designed "butterfly ballot" exacerbated confusion, contributing to over 19,000 undervotes statewide and triggering manual recounts halted by the U.S. 's Bush v. Gore decision on December 12, 2000, which cited unequal recount standards. Post-election analyses, including a Supreme Court review, confirmed that punch-card systems produced higher residual vote rates (unrecorded votes) compared to optical-scan alternatives, prompting federal legislation like the Help America Vote Act of 2002 to phase out such punch systems. The transition to direct-recording electronic (DRE) voting machines in the early 2000s amplified concerns about unverifiable results due to the absence of paper trails in many models. Critics argued that DREs, which record votes directly into memory without auditable physical records, created "" systems vulnerable to undetected errors or manipulation, as voters could not independently confirm their selections post-voting. In 2004, security researchers at demonstrated exploits on Diebold AccuVote-TS DRE machines, showing that could alter votes undetectably via memory cards and spread virally between machines during pre-election testing, with attacks executable in under a minute using off-the-shelf tools. Diebold's , leaked earlier that year, revealed weak encryption and default passwords, fueling lawsuits and state-level moratoriums on deployments, though no evidence emerged of actual election tampering from these vulnerabilities. A notable 2006 incident in , involved ES&S iVotronic DRE machines in the U.S. House race, where approximately 18,000 undervotes—14.9% of s—occurred, far exceeding rates in other races on the same and enabling Vern Buchanan's narrow 369-vote victory over Democrat Christine Jennings. Investigations, including U.S. (GAO) tests in 2007-2008, replicated machine malfunctions like screens failing to register selections or skipping races, but attributed most undervotes to voter behavior or design flaws rather than systemic software errors, as no widespread vote loss was confirmed in controlled simulations. Lawsuits alleging machine failures led to recounts and federal probes, but courts upheld the results, highlighting DRE limitations in resolving disputes without paper backups. California's 2007 review under Bowen decertified Diebold, Hart InterCivic, and DRE and optical-scan systems after independent audits uncovered over 100 vulnerabilities, including alterable vote databases, weak access controls, and unpatchable flaws exploitable via USB ports or insider access. Bowen imposed conditional recertification requiring enhanced seals, logging, and paper audit trails for future use, affecting machines in over 30 counties and accelerating a national shift away from paperless DREs. These pre-2020 disputes, rooted in mechanical unreliability and electronic opacity, spurred adoption of voter-verified paper records in 40 states by 2018, though implementation varied and legacy concerns persisted.

2020 Election Claims and Audit Outcomes

Following the , numerous allegations surfaced claiming that machines, particularly those manufactured by , had been manipulated to alter vote tallies in favor of . Proponents, including attorneys associated with the Trump campaign such as and , asserted that machines employed algorithms to flip votes, connected to foreign servers for data transmission, or exploited software vulnerabilities tied to entities like or Venezuelan interests. These claims were amplified through affidavits from poll watchers reporting anomalies and forensic analyses purporting to show discrepancies, though many lacked empirical validation beyond anecdotal reports. State-led audits and recounts in jurisdictions using systems, such as , , and , were conducted to verify results. In , a full hand recount of approximately 5 million ballots completed on November 19, 2020, confirmed Biden's victory with 11,779-vote margin, narrowing it slightly from the machine count due to resolved discrepancies like double-counted absentee ballots but finding no systemic . A subsequent risk-limiting by the on November 24, 2020, further affirmed the certified results, with statistical sampling of paper ballots matching electronic tallies at over 99% accuracy. Results were recertified multiple times, including after machine inspections showing no unauthorized modifications. In Arizona's Maricopa County, a led by Cyber Ninjas—hired by the Republican-led state senate and funded by supporters—examined ballots and equipment from the county's machines. Released on September 24, 2021, the report identified procedural issues like unaccounted ballots but concluded Biden's 45,109-vote margin increased by 360 votes upon re-tabulation, with no evidence of intentional manipulation or vote switching. Maricopa officials rebutted claims of deleted files or rigged software, attributing anomalies to standard data practices, and independent analyses dismissed assertions of widespread dead-voter . Michigan's Antrim County, where an initial reporting error briefly showed Biden leading before correction, underwent forensic examination of Dominion equipment. A hand tally on December 17, 2020, matched certified results, attributing the glitch to human error in updating clerk software, not machine tampering. Expert reports, including one by professor J. Alex Halderman in , confirmed vote integrity while demonstrating theoretical vulnerabilities—such as remote access exploits via USB ports—that could alter tallies if exploited, though no evidence of such interference occurred in 2020. Statewide post-election audits of 250 jurisdictions, reported April 22, , verified machine accuracy against paper records. The (CISA), in coordination with election officials, declared on November 12, 2020, that the election was "the most secure in American ," with no evidence of compromised voting machines altering outcomes despite pre-election warnings of potential cyber risks. Over 60 lawsuits challenging machine-related fraud claims were dismissed or withdrawn for insufficient evidence, and secured multimillion-dollar settlements from outlets like ($787 million in April 2023) and ($67 million in August 2025) that aired unsubstantiated allegations. While vulnerabilities in direct-recording electronic (DRE) systems without trails persist as a concern, empirical audits relying on verifiable ballots in battleground states substantiated the certified results, undermining claims of machine-orchestrated irregularities sufficient to change the election's outcome.

Broader Implications for Electoral Trust

The reliance on electronic voting machines without robust verifiable paper trails has contributed to diminished public confidence in electoral outcomes, as evidenced by surveys indicating that only 59% of Americans expressed high confidence in the accuracy of the presidential vote count, with stark disparities—90% of Democrats versus 20% of Republicans. This erosion persists into subsequent cycles, with a 2024 Pew Research Center poll showing 73% overall confidence in administration but only 57% nationally, reflecting persistent concerns over centralized tabulation and software opacity in machine-dependent jurisdictions. Demonstrated technical vulnerabilities, such as those identified in CISA advisories for systems like ImageCast X—encompassing risks from weak and unpatched software—amplify these doubts, even absent confirmed exploitation in U.S. contests. Studies correlate direct-recording (DRE) machines without voter-verified audit trails (VVPAT) to heightened perceptions of fraud risk; for instance, a analysis found voters using such systems reported 10-15% lower assurance in result integrity compared to optical-scan methods. These factors foster a feedback loop where unresolved undermines institutional legitimacy, as seen in over 60 post-2020 lawsuits challenging machine-based certifications, irrespective of their legal merits. Broader consequences include polarized and challenges; Election Data and Science links machine-centric to a 20-30 partisan swing in post-election trust metrics, correlating with reduced voluntary compliance in policy implementation following disputed results. Internationally, jurisdictions phasing out unauditable DREs—such as the in after demonstrations—experienced trust rebounds, with public approval rising from 60% to over 85% after reverting to paper systems. In the U.S., this has spurred state-level reforms, including mandatory VVPAT in 40 states by 2025 and risk-limiting audits in 15, which empirical pilots show can elevate confidence by 15-25% through demonstrable verification. Persistent gaps, however, risk entrenching cynicism, as simulations of hypothetical cyberattacks reduced cross- trust by up to 40%, highlighting the causal fragility of opaque technologies in sustaining democratic consent.

Regulations and Standards

Federal Certification Processes

The U.S. Election Assistance Commission (EAC), established by the Help America Vote Act (HAVA) of 2002, administers the federal Testing and Certification (T&C) Program for voting systems, providing a voluntary framework to evaluate hardware, software, and documentation for compliance with national standards. This program replaced earlier standards from the (FEC) dating to 1990 and 2002, marking the first federal involvement in accrediting test labs and certifying equipment to assist states in decisions. Certification verifies that systems meet functional, , and requirements but does not mandate their use, as states retain primary authority over election administration. The core standards are the Voluntary Voting System Guidelines (VVSG), developed in collaboration with the National Institute of Standards and Technology (NIST) and approved by the EAC. VVSG 1.0 and 1.1, based on the guidelines, emphasized basic functionality, auditability, and security principles such as and controls. VVSG 2.0, adopted by the EAC in February 2021 after public comment and NIST refinement, introduced enhanced principles including mandatory voter-verifiable paper records, software independence, and resilience against cyber threats like detection and secure boot processes. Systems certified to prior versions remain usable but face deprecation timelines, with full migration to VVSG 2.0 encouraged for improved integrity. The certification process begins with manufacturer registration and submission of a complete voting system package to an EAC-accredited Voting System Test Laboratory (VSTL), independent non-federal entities qualified to conduct reviews, hardware examinations, and against VVSG criteria. Accredited VSTLs, such as those evaluated under NIST's Voluntary Laboratory Accreditation Program (NVLAP), perform modular and end-to-end tests, including simulated elections to assess accuracy, , and error rates, typically taking months due to rigorous requirements. Upon passing, the VSTL submits results to the EAC for final review, risk assessment, and public notice period before certification issuance; the EAC may also decertify systems for non-compliance or vulnerabilities. As of July 2025, Hart InterCivic's Verity Vanguard became the first system certified to VVSG 2.0, demonstrating feasibility amid ongoing lab capacity constraints. Federal certification provides a baseline but has limitations, as evidenced by historical delays in VVSG updates and instances where certified systems later exhibited flaws not fully captured in testing, underscoring the need for state-level supplements like logic and accuracy testing. The process prioritizes empirical validation through repeatable tests rather than theoretical assurances, aligning with causal mechanisms for error detection, though critics note that lab accreditation focuses on procedural fidelity over exhaustive real-world exploit simulation. By 2025, approximately 38 states reference or require EAC certification, reflecting its role in standardizing equipment amid diverse jurisdictional needs.

State Variations in Requirements

Requirements for voting machines vary by state, reflecting differences in authorized technologies, mandates for auditable records, certification procedures, and security protocols, often shaped by legislative responses to past vulnerabilities and audit needs. While federal guidelines under the Help America Vote Act and Voluntary Voting System Guidelines (VVSG) set a baseline for and reliability, states impose additional criteria, leading to a where optical systems predominate alongside varying electronic components. A key distinction lies in requirements for paper records to enable post-election audits and recounts. As of late 2024, nearly all votes are cast using systems producing ballots—either hand-marked ballots optically scanned (used by voters in 46 states) or ballot-marking devices (BMDs) that generate verifiable outputs for all voters in states like , , , , and . Voter-verifiable audit trails (VVPAT) are mandated alongside direct-recording electronic (DRE) machines in states such as , , and , where DREs are permitted but must produce auditable summaries for voter confirmation. However, DRE systems without VVPAT remain in limited use, accounting for approximately 1.3% of voters, primarily in jurisdictions, despite expert consensus on their heightened vulnerability to undetectable errors or tampering absent physical records. Certification processes further diverge, with 38 states and the District of requiring systems to undergo testing by federally accredited laboratories per VVSG standards, supplemented by state-specific reviews for with local laws on features like interfaces or . For example, mandates independent verification by a state-selected test authority, while emphasizes reviews and public observation of logic and accuracy tests. Some states, including and , require enhanced pre-election testing, such as parallel manual tallies of subsets of ballots to validate machine accuracy. Security-focused mandates also vary: 42 states prohibit connectivity for voting equipment to reduce remote risks, and many ban modems or require air-gapped systems. States like and impose strict vendor qualifications, including background checks and bonding, alongside regular decertification for non-compliant systems. These variations prioritize empirical safeguards like auditable chains of custody in paper-reliant states, contrasting with residual reliance on software assurances in outlier jurisdictions.
Requirement TypeExamples of StatesKey Features
Mandatory Paper Records for All Votes, (BMDs)Human-readable ballots from devices; enables risk-limiting audits.
DRE with VVPAT Allowed, Electronic selection with printable voter-verified summary.
Limited/No Paper TrailLouisiana (select areas)DRE-only; no routine , higher risk profile.
Enhanced Certification, Federal lab testing plus state independent audits/source review.
Security Bans, 42 states totalNo /; air-gapped operations.

International Comparisons


Brazil has employed direct-recording electronic (DRE) voting machines nationwide since 2000, replacing paper ballots to address logistical challenges in a country of over 200 million voters spread across vast territories. The Superior Electoral Court (TSE) conducts public safety tests, including simulated attacks by military branches, which have consistently rejected unauthorized intrusions, such as a 2021 Navy attempt to insert a malicious file that was detected and blocked by the system. However, the absence of a voter-verifiable paper audit trail (VVPAT) in Brazil's DRE setup relies on source code audits, hash verifications, and parallel manual counts of small samples, raising concerns about comprehensive empirical verification, as discrepancies cannot be audited against physical records at scale. Critics, including former President Jair Bolsonaro, have alleged vulnerabilities without providing evidence, while TSE maintains the system's integrity based on zero proven fraud incidents in over two decades of use.
In , machines (EVMs), introduced in the 1980s and scaled ly by 2004, operate as standalone devices without network connectivity, paired with VVPAT units since 2013 to generate paper slips for voter verification. The (ECI) mandates counting VVPAT slips from 5% of machines per constituency, with post-2024 audits confirming matches in 1,440 units amid tampering allegations. This hybrid approach enables risk-limiting audits, contrasting pure DRE systems, though ECI emphasizes tamper-proof hardware features like one-time programmable chips. Empirical data from verifications supports reliability, but isolated court challenges highlight ongoing debates over full VVPAT implementation for all machines. European nations have largely rejected DRE machines due to verifiability deficits. Germany's ruled in that violates constitutional transparency requirements, as average citizens cannot comprehend the process without observable, verifiable steps like paper ballots, leading to a nationwide ban on automated systems for federal elections. Similarly, the decertified Nedap machines in 2007 following demonstrations by researchers exposing exploitable hardware vulnerabilities, reverting to hand-marked paper ballots for manual counting. These decisions prioritize causal auditability—where outcomes can be empirically traced to voter intent—over efficiency, differing from U.S. reliance on certified DREs in some states without uniform paper trails. Estonia stands out with internet voting (i-voting) since 2005, allowing up to 51% of votes in 2023 parliamentary elections to be cast remotely via authenticated IDs, emphasizing end-to-end verifiability through cryptographic proofs. analyses, however, reveal risks: a 2014 study by researchers including J. Alex Halderman demonstrated potential vote manipulation via exploiting flaws, though Estonian officials counter with layered defenses like vote forwarding and audits, reporting no confirmed compromises. This remote model amplifies and threats absent in polling-place DREs, underscoring trade-offs between accessibility and physical controls. Internationally, systems favoring paper-based or VVPAT hybrids, as in or banned DRE jurisdictions like , enable post-election audits grounded in tangible evidence, mitigating faith-based trust in software integrity—a vulnerability in pure DRE or remote setups like Brazil's or Estonia's, where empirical risks persist despite institutional assurances. Countries avoiding electronic machines, such as and with optical-scan paper systems, achieve high confidence through manual recounts, highlighting that verifiable physical records causally link voter actions to tallies more robustly than digital attestations alone.

Advantages, Criticisms, and Alternatives

Operational Benefits

Electronic voting machines, particularly direct-recording electronic (DRE) systems, expedite the voting process by allowing voters to select choices via touchscreens or buttons, followed by instantaneous electronic recording without intermediate paper handling at the polling station. This design minimizes queue times during high-turnout elections, as voters require less time per ballot compared to marking and folding paper slips, with empirical observations in pilot implementations showing throughput rates of up to 5-6 voters per minute per machine under controlled conditions. In large-scale deployments, such as Brazil's nationwide DRE system introduced in 2000, machines enable near-real-time tabulation, delivering certified results for approximately 156 million voters within hours of poll closure, contrasting with prior manual counts that extended over days and were prone to logistical delays. India's EVMs, deployed since 2004 for elections exceeding 900 million participants, similarly compress counting from weeks to under 24 hours by aggregating votes electronically at each booth, reducing manpower needs from thousands of counters to a few technicians per constituency and curbing errors in manual summation. Operational reliability benefits from built-in diagnostics and modular components, allowing poll workers to perform quick functionality checks—typically under 10 minutes per unit—before opening polls, with failure rates reported below 0.1% in audited elections through redundant sources and self-contained . features, including adjustable audio interfaces and for visually impaired voters, integrated into many DRE models, comply with standards like those from the U.S. Assistance , enabling independent voting for disabled individuals who might otherwise require assistance with ballots. These systems also support , as compact units (often under 20 kg) facilitate deployment across remote or urban precincts without the bulk of ballot storage, lowering transportation costs by up to 70% in jurisdictions transitioning from machines, per federal assessments.

Key Limitations and Failure Modes

Direct Recording Electronic (DRE) voting machines, particularly those lacking a (VVPAT), are susceptible to undetectable vote manipulation through that exploits transfers between machines, as demonstrated in a 2006 analysis of the Diebold AccuVote-TS system, where researchers developed a capable of spreading silently and altering results without triggering alarms. Similar vulnerabilities persist in modern systems, with a 2023 Princeton report on the Dominion ImageCast X identifying flaws allowing unauthorized access and vote changes via physical ports or supply-chain compromises. Independent hacking demonstrations at conferences since 2017 have repeatedly compromised DRE and scanner hardware in under two hours, highlighting weak encryption, outdated operating systems like , and insufficient access controls. Hardware malfunctions, including touchscreen misalignment and mechanical jams, have caused vote loss or rejection in multiple elections; for instance, a Brennan Center database compiled from 2006-2010 incident reports documented over 900 failures across systems like ES&S iVotronic and AVC Edge, often due to failures or overheating in high-volume polling. Optical systems, while generally more auditable, suffer from calibration errors that reject valid if ovals are not filled precisely, as evidenced by post-election analyses showing miscount rates up to 2% in underfilled marks, exacerbating disparities in voter instructions and . A 2007 GAO test of Sarasota County's ES&S iVotronic machines replicated rates exceeding 14% in the 13th race, attributed to interface confusion rather than intentional , underscoring how usability flaws amplify error rates without paper backups. The absence of independent verification in paperless DREs prevents risk-limiting audits, leaving outcomes reliant on potentially tampered digital logs; as of 2020, nine states still deployed such systems for significant voter portions, increasing exposure to threats or that evade detection. Proprietary vendor code, often certified without full public scrutiny, introduces risks from unpatched vulnerabilities or deliberate flaws, as NIST reliability metrics emphasize but federal processes have historically underemphasized pre-election against real-world failure modes like power surges or environmental damage. These limitations collectively undermine causal confidence in results, as empirical post-election discrepancies cannot distinguish between benign errors and without auditable artifacts.

Paper-Based and Hybrid Alternatives

Paper-based voting systems rely on voters manually marking ballots with pen or pencil, producing a tangible record that can be verified by the voter and audited post-election through manual recounts or statistical sampling. These systems mitigate risks inherent in fully electronic direct-recording electronic (DRE) machines by enabling direct inspection of individual votes, as the physical ballot serves as evidence of voter intent independent of machine tabulation. Optical scanners often tally these ballots initially, but the paper record allows for risk-limiting audits (RLAs), which provide a probabilistic guarantee—typically at a 5% risk level—that the reported outcome is correct if no discrepancies exceed thresholds during random sampling of ballots. In the United States, the shift toward paper-based systems accelerated after the 2000 election controversies and the Help America Vote Act of 2002, with the vast majority of voters using hand-marked paper ballots or systems generating equivalent records by 2024; for instance, required all in-person voting to produce paper ballots, with full compliance mandated by 2026. from RLAs in multiple states during the 2020 election demonstrated high accuracy, with audits altering net presidential vote counts by only about 0.007% across major contest types, confirming machine tabulations against hand counts with minimal errors attributable to human marking rather than systemic flaws. Internationally, most democracies employ paper ballots, frequently hand-counted at precincts to ensure transparency and observable processes, reducing reliance on vulnerable to undetected alterations. Hybrid systems integrate electronic assistance with paper outputs to balance accessibility and verifiability, such as ballot marking devices (BMDs) that allow voters—particularly those with disabilities—to select choices via before printing a verifiable ballot for scanning and auditing. Voter-verified audit trails (VVPATs) in hybrid setups, like those appended to DRE machines, generate a slip or that voters can inspect to confirm selections, facilitating audits while retaining speed for tabulation. Studies affirm that these mechanisms enhance over paperless DREs by decoupling vote casting from unobservable storage, though challenges persist in VVPAT for manual audits, potentially complicating full hand recounts if print quality obscures marks. Examples include India's machines paired with VVPAT units since 2013, which produce auditable slips for a subset of ballots, and U.S. BMD deployments that ensure all votes yield durable records compliant with federal standards for voter verification.

Recent Developments and Future Outlook

Post-2024 Equipment Upgrades

In March 2025, President Trump issued Executive Order 14248, directing the U.S. Election Assistance Commission (EAC) to revise the Voluntary Voting System Guidelines (VVSG) 2.0 within 180 days to mandate voter-verifiable paper records for all voting systems and prohibit the use of barcodes or quick-response codes in vote tabulation, except for accommodations for voters with disabilities. The order also required the EAC to review and re-certify existing voting systems against these updated standards, effectively rescinding prior approvals that did not align, with a focus on eliminating reliance on direct-recording electronic (DRE) machines lacking auditable paper trails. Additionally, it instructed the Department of Homeland Security, in coordination with the EAC, to assess vulnerabilities in electronic voting systems, particularly those connected to the internet or susceptible to malicious software, prompting vendors to prioritize air-gapped hardware and enhanced cybersecurity protocols in new deployments. These federal guidelines spurred equipment transitions in several states, as many jurisdictions operate under 10- to 15-year machine lifecycles and faced re-certification pressures. For instance, in , multiple counties initiated replacements of touchscreen ballot-marking devices (BMDs) in favor of hand-marked ballots scanned optically, citing the order's emphasis on verifiable to mitigate risks of untraceable electronic errors or tampering. The revisions aligned with ongoing EAC efforts to finalize VVSG updates, which were already in development but accelerated post-2024 to address empirical concerns from prior audits showing discrepancies in barcode-dependent systems. A significant industry shift occurred on October 9, 2025, when —used in 27 states during the 2024 election—was acquired by Scott Leiendecker, a former Republican election official and CEO of KNOWiNK, and rebranded as Liberty Vote. The new ownership committed to compliance with the by promoting systems centered on hand-marked paper ballots for enhanced and auditability, while retaining existing certified equipment without immediate hardware overhauls. State officials, such as those in and , confirmed that current Dominion/Liberty Vote systems remain valid pending re-certification, but anticipated software updates to eliminate barcode tabulation dependencies. This acquisition, privately financed and emphasizing fully American-owned operations, was positioned by Leiendecker as a step toward restoring through causal safeguards against foreign influence or insider in . Broader upgrades emphasized systems integrating ballot-marking devices with mandatory voter-verifiable trails (VVPAT), as pure DRE machines faced risks under the new VVSG. By October 2025, preliminary EAC reports indicated that over 40 states had initiated processes for compliant equipment, funded partly through federal grants, though full implementation timelines extend to 2026-2028 due to backlogs and vendor retooling. These changes prioritize empirical verifiability, drawing from post-2020 risk-limiting s that demonstrated higher accuracy in -backed systems compared to unauditable electronic-only .

Emerging Security Reforms

In response to persistent concerns over vulnerabilities in direct-recording (DRE) voting systems, the U.S. Election Assistance Commission (EAC) issued a policy on May 28, 2025, recommending that election jurisdictions prioritize systems producing a paper record for every ballot, such as hand-marked ballots or ballot-marking devices (BMDs) with verifiable paper outputs. This builds on the near-universal of paper-based or systems by 2024, where approximately 98% of U.S. votes were cast on systems generating auditable paper records, reducing reliance on unverifiable -only tallies. Such reforms address demonstrated risks, including software exploits identified in academic demonstrations, by enabling manual recounts and statistical verification independent of machine outputs. A of these reforms is the updated Voluntary Voting System Guidelines (VVSG) 2.0, finalized by the EAC in 2021 but seeing accelerated certification in 2025, with the first system achieving full VVSG 2.0 compliance announced on July 10, 2025. VVSG 2.0 introduces mandatory principles for high-quality implementation, including reviews, cryptographic protections against tampering, and support for risk-limiting audits (RLAs), while prohibiting connectivity for tabulation equipment to mitigate remote vectors. States certifying under these guidelines must now demonstrate resilience to insider threats and supply-chain attacks, with testing labs required to validate against updated threats like advanced persistent threats observed in prior cycles. On September 30, 2025, the EAC initiated a formal review of end-of-life (EoL) certified voting systems in collaboration with manufacturers, aiming to accelerate the retirement of outdated hardware lacking modern safeguards, such as those without paper trails or compliant encryption. This process targets systems deployed before 2015, which comprise a shrinking but still significant portion of jurisdictions, by enforcing EoL notifications and upgrade timelines tied to federal funding under the Help America Vote Act. Concurrently, risk-limiting audits—statistical methods that sample paper ballots to confirm electronic results with a predefined risk threshold, typically 5-10%—have expanded, with states like Pennsylvania conducting statewide RLAs for the May 20, 2025, primary and at least 15 others enacting enabling legislation by mid-2025. These audits provide empirical confidence in outcomes without full hand recounts, addressing causal risks from programming errors or malicious alterations, though implementation varies by state turnout and ballot format. Federal agencies like the (CISA) have supplemented these hardware-focused reforms with cybersecurity protocols, including mandatory pre-election vulnerability scanning and chain-of-custody logging for all voting equipment as of 2025 guidance. Despite these advances, independent analyses highlight ongoing challenges, such as incomplete RLA adoption in low-turnout races and residual DRE use in a handful of states, underscoring the need for uniform national standards to counter evolving threats like AI-assisted targeting machine integrity perceptions.

Potential Technological Directions

Future developments in voting machine technology emphasize enhancing verifiability, security, and transparency while mitigating risks from evolving threats such as . Open-source architectures represent a prominent direction, enabling widespread by independent experts to detect vulnerabilities that proprietary systems obscure. For instance, VotingWorks has deployed open-source ballot marking devices and tabulators in jurisdictions like counties starting in 2024, allowing public auditing of software to build trust without relying on vendor assurances. This approach contrasts with closed-source systems, where lack of access has historically delayed flaw identification, as evidenced by past exploits in machines from vendors like and ES&S. Integration of (PQC) into voting systems is gaining traction to counter anticipated quantum computer capabilities that could break current and algorithms used for and signatures. NIST's ongoing standardization of PQC algorithms, such as CRYSTALS-Kyber and , supports their adoption in infrastructure for encrypting vote data and ensuring tamper-evident chains. frameworks propose PQC-enhanced verifiable , combining lattice-based schemes with zero-knowledge proofs to maintain secrecy while allowing audits resistant to quantum attacks expected within decades. Companies like WISeKey have begun incorporating PQC into e-voting prototypes as of 2024, prioritizing hardware security modules for key storage to prevent side-channel leaks. Hybrid systems combining digital interfaces with robust paper trails, supported by advanced optical scanners and blockchain-inspired immutable logging (without full ), aim to balance and auditability. However, proposals for blockchain-based voting machines face skepticism due to unresolved challenges like voter coercion resistance and scalability, with experts arguing they exacerbate rather than resolve security issues inherent in electronic tabulation. Developments in could enable privacy-preserving aggregation of votes, but empirical pilots remain limited, underscoring the need for risk-limiting audits over unproven remote or fully digital paradigms. Overall, these directions prioritize empirical validation through federal guidelines like the VVSG 2.0, focusing on systems that facilitate manual recounts and forensic analysis rather than eliminating paper entirely.

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