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Toss-Up? Are Pollsters Missing Something Again?

Democrats think they can win in traditionally Republican states, and election forecasters are calling several Senate races toss-ups. But after three presidential elections in which polling lied to the American people about Republican support, is the political establishment repeating an old mistake?

3 min read61

Texas. Iowa. Kansas. Ohio. Alaska.

Five states. Five Republican victories in 2024. And not one was particularly close.

President Donald Trump defeated Kamala Harris by 13.7 percentage points in Texas, 13.2 in Iowa, 16.1 in Kansas, 11.2 in Ohio, and 13.1 in Alaska.

Yet today, all five have Senate races classified as toss-ups by national election analysts.

Democrats have embraced these ratings as evidence that their electoral map is expanding. But before anyone starts celebrating, Americans should ask a familiar question:

Haven't we seen this movie before?

Three Presidential Elections. The Same Polling Problem.

In 2016, the political establishment expected Hillary Clinton to win. Trump won the Electoral College.

In 2020, national and state polls substantially overestimated Democratic margins.

Then came 2024. Trump defeated Harris with 312 electoral votes, winning all seven major battleground states.

The American Association for Public Opinion Research examined 611 late-campaign polls and found that, once again, they underestimated Republican performance relative to Democrats—this time by an average of 2.7 percentage points.

The 2024 polls were considerably more accurate than those in 2016 and 2020, and they correctly depicted a close national race. Nevertheless, the persistent directional error deserves scrutiny.

Three consecutive presidential elections underestimated Republicans. Why should Americans treat another narrow polling advantage as a guaranteed election result?

Polls can identify trends. They cannot certify the future.

And one of the most difficult variables is determining who will actually vote.

And here is the biggest problem for all this pollsters.


Who's Really Being Counted in These Polls?

A survey of all adults is different from one of registered voters, which is different again from a survey of likely voters. Legitimate election polling includes; green card holders, undocumented people from multiple continents here in the state; they are not citizens and cannot legally vote in federal elections.

That's why, whether you're a Democrat or a Republican, you should examine the historical record of election polling. When polls underestimate Republican candidates, sometimes by significant margins, the final election results can tell a very different story.

Now imagine a supposedly tight race measured through an online survey that includes thousands of respondents who are not even eligible to vote. Some may support Democratic immigration policies and public-assistance programs, including the housing assistance and prepaid food cards previously provided to certain migrant families in New York. Of course, these policies can influence political preferences. But why should the opinions of people who cannot legally vote be treated as evidence of how eligible voters will cast their ballots?

This is precisely why survey methodology matters. If pollsters fail to distinguish between general respondents, registered voters, and likely voters, their numbers can present a misleading picture of the electorate.

And after nearly a decade of polling errors that have repeatedly underestimated Republican support, why should Americans automatically trust every race labeled a "toss-up"? Could Democrats actually be trailing by five or even eight points in some of these traditionally Republican states? That possibility deserves investigation, although previous polling errors alone cannot establish the exact margin.

This is not simply about percentages. It is about understanding who is answering these online surveys, who is actually eligible to vote, and whether the people being counted accurately represent the Americans who will decide the election on November 3.

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  • SM
    Steve MMember13 min ago

    This is exactly the kind of reporting we need more of. Clear facts, no fluff.

    Reply♡
  • RB
    Rachel BMember28 min ago

    Appreciate the context here — sharing this with my small group tonight.

    Reply♡
  • JT
    James TMember1 hr ago

    Strong analysis. Looking forward to the follow-up on how this plays out next week.

    Reply♡

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