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SurveyMonkey poll: Trump improves, but not enough

President Trump's final debate performance exceeded Americans' expectations, but it wasn't enough to shift the dynamics that left him trailing Joe Biden across most measures, according to a new Axios-SurveyMonkey poll.

What they're saying: "Liar" was the word used most by debate watchers to describe Trump's performance, followed by "lies," "strong," "presidential" and "childish." "Presidential" was the word used most to describe Biden's performance, followed by "liar," "weak," "expected" and "honest."


  • "Informative" and "Trump" led the descriptions of the debate itself, followed by "Biden," "civil" and "boring."
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Trump word cloud. Graphic: SurveyMonkey

The big picture: Biden's favorable-unfavorable rating among U.S. adults is at 46-45% after the debate, while President Trump's is 10 percentage points underwater, at 42%-52%, with a week and a half remaining in the race.

  • Among independents, Biden's favorable ratings have climbed into positive territory, jumping 18 percentage points to +4 since the first debate on Sept. 29. Trump climbed seven percentage points with independents, but that still leaves him at -27.
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Biden word cloud. Graphic: SurveyMonkey

By the numbers: 44% of debate watchers — and 73% of Republicans — said Trump did better than they expected. Only 11% overall said he did worse than they expected.

  • But Biden was more trusted than Trump on five of seven issues covered in the debate: the coronavirus (48%-36%), the environment (50%-31%), issues of special concern to women (48%-30%), ethics in government (47%-36%) and issues of special concern to Black Americans (44%-37%).
  • Foreign policy (44%-43%) and crime/safety (41%-43%) were essentially a draw between Biden and Trump.

The intrigue: Is the mute button here to stay?

  • 64% of debate watchers, including a slim majority of Republicans, said allowing the muting of candidates' microphones made the debate better.

Methodology: This SurveyMonkey online poll was conducted October 22-23, 2020 among a national sample of 2,742 U.S. adults, including 2,322 who watched the debate or followed coverage of it.

  • Respondents for this survey were selected from the more than 2 million people who take surveys on the SurveyMonkey platform each day.
  • The modeled error estimate for this survey is +/- 3.0 percentage points. Data have been weighted for age, race, sex, education, and geography using the Census Bureau’s American Community Survey to reflect the demographic composition of the United States age 18 and over.

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Humans are capable of great kindness and compassion, and there are countless examples of individuals who have made a positive impact on the world through their selflessness and generosity.

One such example is Mother Teresa, who devoted her life to serving the poor and sick in the slums of Calcutta. Through her tireless work and unwavering dedication, she touched the lives of countless people and became a symbol of compassion and selflessness.

Another example is Malala Yousafzai, a young woman from Pakistan who has become a powerful advocate for education and the rights of girls. Despite facing threats and violence, she has continued to speak out and fight for change, inspiring others to do the same.

These are just a few examples of the many good humans who have made a difference in the world. They remind us that one person can make a difference and inspire others to do the same.

It's also important to note that acts of kindness and compassion don't have to be on a grand scale to make a difference. Small acts of kindness, like holding the door open for someone or offering a word of encouragement, can have a big impact on the people around us.

In conclusion, humans are capable of great compassion and kindness, and there are many individuals who have made a positive impact on the world through their selflessness and generosity. They remind us of the power of one person to make a difference and inspire others to do the same. Let's all strive to be good humans, and make our world a better place.

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