Overestimated Influence: How Older Liberals Skew Polling Results

Elderly man talks with polling officer and takes vote bulletin. Multi cultural American citizens come to vote in polling station. Political races of US presidential candidates. National Election Day.

As the 2024 presidential election approaches, a concerning trend has emerged in the accuracy of political polling, particularly regarding the predicted voting behaviors of senior citizens. Traditionally seen as a reliable demographic, older voters are increasingly becoming the focal point of skewed polling outcomes, primarily due to the disproportionate response rates of older white liberals.

The Discrepancy in Poll Responses

Recent polling data suggests that Joe Biden was maintaining a competitive edge nationally due to significant support from older white voters—a demographic that, historically, has not aligned as strongly with Democratic candidates as current polls suggest. For instance, Quinnipiac’s final poll before Biden’s withdrawal from the race showed him leading among senior citizens by eight points. However, this figure contrasts sharply with actual voting trends from past elections, where Republican candidates have typically performed better among this group.

The Phenomenon of Response Bias

This misalignment can largely be attributed to what’s known as “polling response bias.” This occurs when a specific demographic group is more likely to participate in surveys, thus skewing the results. In the case of the United States, older white liberals are disproportionately more likely to respond to polls, thereby inflating the perceived support for Democratic candidates among seniors.

Portrait of multi-ethnic group of people voting at polling station decorated with American flags, copy space

Historical Context and Recent Trends

Analyzing the last two presidential elections, Pew Research highlighted that Trump had defeated his Democratic opponents among voters over 65 by significant margins, despite polls predicting a more favorable outcome for the Democrats. This inconsistency was particularly stark in key swing states, where the actual voting results diverged greatly from pre-election polls.

For example, in 2016, exit polls showed Trump winning senior voters in North Carolina by 23 points, a far cry from the narrower margins predicted by major polls. The same pattern was observed in 2020 and appears to be repeating itself in the run-up to the 2024 election.

Current Polling Missteps

With the election looming, there is a growing concern that current polls are again misrepresenting voter intentions, particularly among seniors. Despite predictions of strong senior support for Kamala Harris in swing states, historical data and voting trends suggest that this demographic may actually lean more towards Trump, as was the case in previous elections.

Portrait of senior woman holding an election badge against blue background

The Broader Implications

This persistent issue in polling methodology not only misguides public perception but also affects strategic decisions within political campaigns. Moreover, it undermines the credibility of the polling industry, which is still grappling with reputational damage from past inaccuracies.

Looking Forward

Pollsters are urged to recalibrate their methodologies to account for response bias and to develop more accurate models that reflect the true sentiments of all demographic groups. Additionally, there is a need for greater transparency in how poll data is collected and reported, to restore public trust in political polling.

Final Thoughts

As seniors continue to play a critical role in American politics, it is crucial for polling organizations to address the discrepancies in their data collection practices. By acknowledging and adjusting for response biases, pollsters can provide a more accurate picture of the political landscape, ultimately leading to better-informed voters and a more robust democratic process.