The 14-Point Discrepancy in Vermont’s Gubernatorial Race
When the final ballots were tallied on Tuesday, the results in the Vermont governor’s race looked nothing like the data that had dominated the conversation for weeks. Governor Phil Scott secured a decisive victory over challenger Amanda Janoo, a result that stood in stark contrast to pre-election polling that had consistently placed him behind.
The polling data in question painted a grim picture for the incumbent. A September survey conducted by the center predicted a six-point lead for Janoo, 49% to 43%. By the eve of the election, a second poll widened that margin, suggesting Janoo held an eight-point advantage. Instead, the actual results saw Scott defeat Janoo by seven points—a massive 14-point swing from the final pre-election projection.
Governor Scott did not mince words regarding the polling firm’s performance on election night. “The political pundits were writing my obituary, and the UNH poll had us losing by about nine points. It looks like we’re going to win by over five, which is a 14-point swing,” Scott remarked. This election marks the third cycle in which the UNH Survey Center has underestimated the governor’s support among the electorate.
Methodological Assumptions and the “Opt-in” Challenge
To understand how such a significant deviation occurred, analysts are looking at the shift away from traditional random-digit dialing. Because modern voters are increasingly difficult to reach by phone, the UNH Survey Center, like many other organizations, has transitioned to using preselected panels of participants to fill out their surveys. This shift toward “opt-in” panels is designed to gather data more efficiently, but it relies heavily on the accuracy of the underlying demographic assumptions.

“The assumptions they made about who would turn out to vote were incorrect,” said Matt Dickinson, a political science professor at Middlebury College.
Dickinson points to a fundamental flaw in the weighting of these panels. According to his analysis, the pollsters overestimated the turnout of younger voters, a demographic that historically leans toward Janoo, while simultaneously underestimating the participation of voters over the age of 65, a group where Scott traditionally finds strong support. “If you incorrectly make assumptions here as UNH did, that opt-in panel can lead you astray, and that’s what happened here,” Dickinson noted.
The Ripple Effect on Campaign Strategy
The implications of these polling failures extend beyond mere academic critique. Polls are not just passive observations of the electorate; they often act as catalysts for campaign spending and voter mobilization. When a candidate is perceived to be significantly behind, it can dampen enthusiasm among potential donors and cause national organizations to reconsider their resource allocation.
Dickinson suggested that the skewed data likely influenced the financial strategy of major political groups. He noted that the national Republican Governors Association, for instance, might have been hesitant to commit a million dollars to the Vermont race had the internal data reflected the actual strength of the governor’s position. When large-scale financial decisions are predicated on inaccurate snapshots of voter intent, the electoral process itself can be distorted.
Defending the Data: A Post-Mortem Ahead
Andy Smith, a lead pollster at the UNH Survey Center, maintains that the methodology was sound for other contests. He pointed out that the center’s projections for Vermont’s lieutenant governor, congressional seats, and various constitutional amendments were accurate, suggesting that the issue was isolated to the gubernatorial race.

Smith argued that the discrepancy may stem from how the public interprets the data versus how it is gathered. “The thing I think they were misleadingly looking at is saying the weight of younger people is really the weight overall of all people, adults living in Vermont, not just voters,” Smith explained. He emphasized that the Green Mountain panel is designed to match the distribution of the general adult population, which may not always align perfectly with the specific subset of those who actually cast a ballot.
As the dust settles, the UNH Survey Center plans to conduct a thorough post-mortem of their data over the coming weeks. For now, the question of how to effectively capture the nuances of a shifting electorate remains a primary challenge for pollsters nationwide. Whether this leads to a fundamental change in how the center recruits its panels for the next cycle is something yet to be determined, leaving the reliability of future pre-election data an open question for voters and campaigns alike.
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