What Binary Questions Get Wrong About Voters
Are Americans really polarized along party lines? Today, we discuss a new paper from our co-host Anthony Fowler, about one of the most common tools researchers use to measure public opinion: simple yes-or-no survey questions. Most political surveys ask people to choose between two options—support or oppose, yes or no. But Fowler’s research shows that these binary questions can hide important nuance in how people actually think about policy. When researchers analyze these responses, it can make voters appear more polarized—or more ideologically inconsistent—than they really are.
Episode 156 of the Not Another Politics Podcast podcast, hosted by University of Chicago Podcast Network, titled "What Binary Questions Get Wrong About Voters" was published on March 12, 2026 and runs 38 minutes.
March 12, 2026 ·38m · Not Another Politics Podcast
Summary
Are Americans really polarized along party lines? Today, we discuss a new paper from our co-host Anthony Fowler, about one of the most common tools researchers use to measure public opinion: simple yes-or-no survey questions. Most political surveys ask people to choose between two options—support or oppose, yes or no. But Fowler’s research shows that these binary questions can hide important nuance in how people actually think about policy. When researchers analyze these responses, it can make voters appear more polarized—or more ideologically inconsistent—than they really are.
Episode Description
Are Americans really polarized along party lines? Today, we discuss a new paper from our co-host Anthony Fowler, about one of the most common tools researchers use to measure public opinion: simple yes-or-no survey questions.
Most political surveys ask people to choose between two options—support or oppose, yes or no. But Fowler’s research shows that these binary questions can hide important nuance in how people actually think about policy. When researchers analyze these responses, it can make voters appear more polarized—or more ideologically inconsistent—than they really are.
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