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Massachusetts: Clinton holds overwhelming advantage in new WBUR/MassINC poll

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WBUR/MassINC published the results of a new poll. In this poll, interviewees from Massachusetts were asked for whom they will vote: Donald Trump or Hillary Clinton.

WBUR/MassINC poll results
60

Clinton

31

Trump

Of those who replied, 60.0% said that they intend to vote for former New York Senator Hillary Clinton, while 31.0% declared that they would give their vote to businessman Donald Trump.

The poll was carried out from September 7 to September 10 with 506 likely voters. The sampling error is +/-4.4 percentage points, which means that the levels of voter support for both candidates differ significantly.

Putting the results in context

Single polls may incorporate substantial biases, which is why they should be treated with caution. At least, one should examine how a poll's results compare to benchmark forecasts.

To make the results comparable to forecasts from benchmark methods, you can convert them into shares of the two-party vote. This procedure yields figures of 65.9% for Clinton and 34.1% for Trump.

Results compared to other polls

An average of recent polls in Massachusetts has Clinton at 61.7% of the two-party vote. This value is 4.3 percentage points lower than her respective numbers in the WBUR/MassINC poll. This margin is within the poll's sampling error, which means that the poll is not an outlier.

Results compared to the combined PollyVote forecast

The most recent PollyVote expects Clinton to gain 62.9% of the two-party vote in Massachusetts. That is, Polly's forecast is 3.0 points below her polling numbers. The PollyVote forecast is thus in line with 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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