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New KABC/SurveyUSA poll in California: Clinton with overwhelming advantage

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Results of a new poll carried out by KABC/SurveyUSA were circulated on October 24. The poll asked respondents from California for whom they will vote: Hillary Clinton or Donald Trump.

KABC/SurveyUSA poll results
56

Clinton

30

Trump

Of those who answered the question, 56.0% said that they would vote for former New York Senator Hillary Clinton, while 30.0% revealed that they would give their vote to billionaire Donald Trump.

This poll was conducted from October 13 to October 15, among a random sample of 725 likely voters. There is a sampling error of +/-3.7 percentage points. Considering this error margin, the gap between both candidates is statistically significant.

Putting the results in context

Individual polls often include large errors, and should be interpreted with caution. At the very least, one should examine how a poll's results compare to benchmark forecasts.

To make the results comparable to forecasts from other methods, you can translate them into shares of the two-party vote. This yields figures of 65.1% for Clinton and 34.9% for Trump.

Comparison to other polls

An average of recent polls in California sees Clinton at 62.0% of the two-party vote. Relative to her numbers in the KABC/SurveyUSA poll Clinton's poll average is 3.2 percentage points worse. This difference is within the poll's margin of error, which means that the poll is not an outlier.

Results compared to the combined PollyVote forecast

The most recent PollyVote foresees Clinton to gain 61.2% of the two-party vote in California. Hence, the combined PollyVote is 3.9 points below her polling numbers. The PollyVote forecast is thus outside the poll's sampling error.

This article was automatically generated by the PollyBot, which uses algorithms developed by AX Semantics to generate text from data stored in our API. The exact dataset underlying this particular article can be found here.

Please let us know if you find any typos, missing words, or grammatical errors. Your feedback helps us to further improve the quality of the texts.

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