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Boston Globe/Suffolk poll in Massachusetts: Clinton with 32 points lead


Boston Globe/Suffolk 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.

Boston Globe/Suffolk poll results




Of those who responded, 57.0% said that they intend to vote for former Secretary of State Hillary Clinton, while 25.0% revealed that they would give their vote to real estate developer Donald Trump.

The poll was carried out from October 24 to October 26 among 500 likely voters. 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. Thus, as a general rule, don't be too confident the results of a single poll. Instead of trusting the results from single polls, the best practice scientific advice is to rely on combined polls or, even better, a combined forecast that uses forecasts from different methods, each of which draws upon different data.

In order to make the results comparable to forecasts from other methods, we translate them into shares of the two-party vote. The corresponding figures are 69.5% for Clinton and 30.5% for Trump.

Results compared to other polls

An average of recent polls in Massachusetts sees Clinton at 67.5% of the two-party vote. Compared to her numbers in the Boston Globe/Suffolk poll Clinton's poll average is 2 percentage points worse. This difference is within the poll's margin of error, which means that the poll is not an outlier.

Comparison to the combined PollyVote

The latest PollyVote expects Clinton to gain 65.5% of the two-party vote in Massachusetts. Hence, Polly's forecast is 4.0 points below her polling numbers. The PollyVote forecast is therefore within 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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