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1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problemsTo evaluate an election poll, first check whom it surveyed, how respondents were recruited, when interviews took place and what question they answered. Then read the margin of error as a limited measure of sampling uncertainty—not a guarantee of accuracy—and compare only polls with reasonably similar populations and methods. A single topline, sample size or margin cannot establish that a poll is reliable or that a race is trending.
Start by identifying who the poll represents
A poll’s population is part of its result. A survey of all adults, registered voters and likely voters measures different groups; an estimate for one should not automatically be treated as an estimate for another. Check the geographic coverage too: a statewide poll, for example, does not answer the same question as a national poll.
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Look for the pollster’s stated target population and election type—such as a primary or general election. AAPOR’s election polling resources and best practices for survey research emphasize clear disclosure of the population and methods behind a survey.
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Field dates make a poll a snapshot
Find the dates respondents were interviewed, not just the date the poll was published. A poll describes answers collected during that field period; events or changing intentions can make a later poll differ without either poll being wrong about its own snapshot. AAPOR describes election polls as snapshots rather than predictions in its Journalist’s Guide to Understanding Polls & Surveys.
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Read the actual vote-choice question
When available, inspect the exact wording, candidate names, answer options, candidate order and any context respondents saw beforehand. Question wording and survey conditions can affect answers. A topline number without the question and its context leaves out information needed to interpret it.
Understand recruitment, mode and sample size
Polls may use probability sampling, in which people have known chances of selection, or nonprobability recruitment, in which those chances are not known in the same way. Ask how participants were recruited and how the pollster connects their responses to the population it intends to describe. Whether a survey was conducted online or by phone is not, by itself, a verdict on quality; the design and its disclosure matter.
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Sample size is useful context, but it does not settle whether a poll is representative. A larger sample can reduce sampling variability under an appropriate design, but it does not automatically fix coverage gaps, nonresponse differences, question effects or a flawed likely-voter model. AAPOR’s guidance on election polling distinguishes probability and nonprobability approaches and cautions against treating conventional sampling-error margins as equally meaningful for both.
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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchRead the margin of error for what it measures
A margin of sampling error summarizes uncertainty from sampling under the assumptions of a probability design. It is not a guarantee that the true result lies within the stated range, and it does not measure every way a survey can miss the mark. AAPOR explains that the margin applies to sampling error, not issues such as nonresponse bias or an incorrect turnout model, on its polling accuracy page. Pew’s U.S. survey methodology overview describes these broader sources of uncertainty within the total survey error framework.
For example, a poll might report Candidate A at 48% and Candidate B at 46%, with a margin of sampling error of ±3 percentage points. That margin alone does not establish which candidate is ahead: the difference is small relative to the stated sampling uncertainty, and other sources of error are not included in the margin.
Do not carry a full-sample margin over to a subgroup result. Subgroups contain fewer respondents, so their sampling uncertainty is larger; a close subgroup lead or small movement may be inconclusive. AAPOR’s election polling resources addresses this distinction.
Examine weighting and nonresponse
Weighting adjusts how much each respondent contributes so a sample aligns with chosen population benchmarks. It can address measured imbalances, but the result depends on which benchmarks and adjustments the pollster uses. Weighting cannot prove that respondents and nonrespondents are alike on relevant characteristics the poll did not measure. A low response rate by itself also does not reveal the direction or size of any resulting bias.
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Methodological disclosure can show how these decisions work in practice. Pew’s 2024 election methodology reports that its American Trends Panel weights account for selection probabilities and nonresponse at multiple stages, are calibrated to population benchmarks and, for the 2024 post-election survey, were additionally calibrated to turnout and presidential vote preference. That survey included 9,609 respondents and reported a full-sample margin of sampling error of ±1.5 percentage points. Those figures describe that specific Pew survey; they are not a benchmark for the sample size or margin every election poll should have.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Compare polls before calling a trend
A trend is more persuasive when similar measurements move in the same direction over time. When comparing polls, check whether they use comparable populations, geographic coverage, field periods, questions, modes, recruitment designs and weighting approaches. A poll series that keeps its question and methods stable can help reveal change; if the method changes, some apparent movement may reflect that change rather than a shift in opinion.
An average of polls can summarize several snapshots, but it cannot remove errors that polls share, make different populations interchangeable or turn a poll into a prediction. AAPOR’s guide to polls and surveys stresses that election polls are not intended to predict an outcome.
A practical checklist for a poll
- Population and geography: Who was surveyed, and which election or area does the result cover?
- Field dates and wording: When were interviews conducted, and what exactly were respondents asked?
- Recruitment and mode: How did people enter the sample, and how did they respond?
- Uncertainty: Is the stated margin tied to a probability sample, and does it apply to the full sample or a subgroup?
- Weighting and turnout: Which population benchmarks and turnout assumptions were used?
- Disclosure: Can you find enough methodological detail to understand how the estimate was produced?
There is no single accuracy statistic that establishes whether a particular poll is trustworthy. Historical performance varies by election, pollster, geography and method, so assess a poll from its own disclosure and compare it with other polls measuring similar populations at similar times.
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