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Massachusetts: Overwhelming lead for Clinton in latest WBUR/MassINC poll

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WBUR/MassINC released the results of a new poll, in which respondents from Massachusetts were asked for whom they will vote: Democrat candidate Hillary Clinton or Republican candidate Donald Trump.

WBUR/MassINC poll results
60

Clinton

31

Trump

Of those who responded, 60.0% said that they intend to vote for former First Lady Hillary Clinton, while 31.0% indicated that they would give their vote to businessman Donald Trump.

The poll was conducted from September 7 to September 10. A total of 506 likely voters responded. There is a sampling error of +/-4.4 percentage points. Considering this error margin, the gap between both candidates is statistically significant.

Putting the results in context

As any other method, polls are subject to bias. In general, don't put too much trust in the results of an individual poll. Instead of relying on results from single polls, the best practice is to rely on combined polls or, even better, the combined PollyVote forecast that draws upon forecasts from different methods, each of which draws upon different data.

For the following comparison, we translate the candidates' raw poll numbers 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

Clinton currently achieves 63.2% of the major two-party vote according to an average of recent polls in Massachusetts. Compared to her numbers in the WBUR/MassINC poll Clinton's poll average is 2.7 percentage points lower. This deviation is within the poll's margin of error, which suggests that the poll is not an outlier.

Comparison to the combined PollyVote

The current PollyVote forecasts Clinton to gain 63.7% of the two-party vote in Massachusetts. Hence, Polly's combined forecast is 2.2 points below her polling numbers. The PollyVote forecast is therefore in line with the poll's margin of 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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