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Clinton leads in California by 26 points in new PPIC poll

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Results of a new poll carried out by PPIC were spread on October 10. The poll asked respondents from California for whom they will vote: Hillary Clinton or Donald Trump.

PPIC poll results
54

Clinton

28

Trump

Of those who replied, 54.0% said that they would vote for former First Lady Hillary Clinton, whereas 28.0% indicated that they would give their vote to real estate developer Donald Trump.

The poll was conducted from October 14 to October 23 among 1024 likely voters. The error margin is +/-4.3 points, which means that the levels of voter support for the candidates of both parties differ significantly.

Putting the results in context

As any other method, polls are subject to bias. Therefore, as a general rule, you should not be too confident the results of an individual poll. Rather, one should check how a poll's results compare to benchmark forecasts.

For the following analysis, we convert Clinton's and Trump's raw poll numbers into two-party vote shares. The corresponding figures are 65.9% for Clinton and 34.2% for Trump.

Comparison to other polls

An average of recent polls in California sees Clinton at 63.8% of the two-party vote. Relative to her numbers in the PPIC poll Clinton's poll average is 2.1 percentage points worse. This margin is within the poll's error margin, which suggests that the poll is not an outlier.

Comparison to the combined PollyVote

The latest PollyVote expects Clinton to gain 62.3% of the two-party vote in California. Hence, the combined PollyVote is 3.6 points below her polling numbers. The PollyVote forecast is thus in line with the poll's error margin.

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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