Most Americans are standing by the decisions they made on Election Day, a new HuffPost/YouGov poll finds.
Eighty-nine percent of all Americans who voted say they feel like they made the right choice in the presidential election, while just 3 percent regret their votes. Another 8 percent are unsure.
Ninety-one percent of people who report having voted for Democrat Hillary Clinton, and 95 percent of those who report having voted for Republican Donald Trump, say they feel as though they made the right choice.
A majority of those who didn’t make it out to the polls, meanwhile, say they don’t regret their decision not to vote, although more than one-quarter wish they had done so.
Sixty percent of Americans who didn’t vote say they don’t mind not having done so, while 27 percent say they wish they had cast a ballot. Given a do-over, 27 percent of nonvoters say they’d choose Clinton, and 19 percent say they’d choose Trump. Sixteen percent say they’d pick someone else, and 38 percent maintain that they still wouldn’t vote.
Asked to choose from a list of reasons for why they stayed home, those who regret not voting were most likely to say it was because they weren’t registered. Very few ― just over 10 percent of those who regret not voting, or about 1 percent of the nation as a whole ― say that they stayed home because they didn’t think the race was close enough for their vote to matter.
The HuffPost/YouGov poll consisted of 1,000 completed interviews conducted Nov. 15-17 among U.S. adults, using a sample selected from YouGov’s opt-in online panel to match the demographics and other characteristics of the adult U.S. population.
The Huffington Post has teamed up with YouGov to conduct daily opinion polls. You can learn more about this project and take part in YouGov’s nationally representative opinion polling. Data from all HuffPost/YouGov polls can be found here. More details on the polls’ methodology are available here.
Most surveys report a margin of error that represents some, but not all, potential survey errors. YouGov’s reports include a model-based margin of error, which rests on a specific set of statistical assumptions about the selected sample, rather than the standard methodology for random probability sampling. If these assumptions are wrong, the model-based margin of error may also be inaccurate. Click here for a more detailed explanation of the model-based margin of error.