Ranking of the political spectrum of Democratic presidential candidates in 2020
- By far, Americans believe self-proclaimed Democratic Socialist Senator Bernie Sanders is the most liberal 2020 candidate in the Democratic field, according to a recent INSIDER poll.
- Senator Kamala Harris, Senator Cory Booker, former Housing and Urban Development Secretary Julián Castro and Senator Elizabeth Warren are seen as the next most liberal candidates.
- Former Vice President Joe Biden is seen as the ideological middle of the pack, with Representative Seth Moulton of Massachusetts seen as the least liberal.
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Former Vice President Joe Biden recently claimed to have “the most progressive disc [of] anyone running “in the 2020 Democratic presidential primary.
Senator Bernie Sanders, the Democratic Socialist from Vermont, begged to differ.
“I don’t think there are a lot of questions about who is more progressive,” Sanders said of himself and Biden.
But what voters think may differ from candidates’ views on their own ideology and legislative record.
With that in mind, INSIDER asked Americans to rank the 2020 presidential candidates based on their ideology.
Once survey respondents indicated which candidates they had heard of, we followed up by asking them to “Please rank the following candidates based on how you perceive their leftist politics, with the candidate first (1 ) position. being the most liberal and the contender for the highest position being the least liberal. ”
Americans think Sanders is the most liberal candidate in the Democratic arena – by far.
Learn more about how we query this here.
Senator Kamala Harris, Senator Cory Booker, former Housing and Urban Development Secretary Julián Castro and Senator Elizabeth Warren are seen as the next most liberal candidates.
Biden has been ranked in the middle of the pack, while Reps Seth Moulton, Eric Swalwell, John Delaney and Tim Ryan, and Senator Michael Bennet are considered the least liberal candidates in the field.
Since not all respondents knew all of the candidates, or did not necessarily know a lot of information about the candidates they had Heard about it, we used a technique called maximum likelihood estimation (MLE) to generate scores for individual candidates.
Conceptually, MLE is similar to how statisticians can use the force of the calendar to compare two sports teams that haven’t played against each other.