Trump Voters Believe Sex Allegations Against Weinstein, But Not Against Trump

Ariel Edwards-Levy

Most Americans, regardless of political leaning, believe the sexual harassment and assault accusations against film producer Harvey Weinstein, according to a HuffPost/YouGov poll. But there’s a conspicuous partisan split when it comes to similar allegations that have been made against President Donald Trump.

Sixty-two percent of Americans polled consider the accusations against Weinstein credible, with just 3 percent saying they’re not credible and the rest uncertain. The vast majority of both Clinton voters (74 percent) and Trump voters (66 percent) think that Weinstein’s accusers are credible, with just 3 percent in either group saying that they’re not.

But it’s a different story with sexual harassment and assault allegations made last year against Trump. While 83 percent of Clinton voters find the allegations credible, just 8 percent of Trump voters feel the same. A 51 percent majority of Trump voters say outright that they don’t think the accusations against the president are credible, with the remainder uncertain. 

Trump voters are also far more likely to say that workplace sexual harassment is a very serious problem in Hollywood than they are to see it as an equally serious issue nationwide.

Read more on the results of the HuffPost/YouGov poll here.

The HuffPost/YouGov poll consisted of 1,000 completed interviews conducted Oct. 12 and Oct. 13 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.

HuffPost 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. 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. 

  • This article originally appeared on HuffPost.