New from me: When the first COVID-19 vaccine was authorized last December, a lot of Americans were on the fence about getting it. Since then, there's been a dramatic shift toward vaccine acceptance -- but the remaining holdouts could be more stubborn.
Plus, some lessons from vaccine surveys that apply to polling in general:
-Snapshots, not predictions
-People are bad at predicting future behavior
-Question framing matters
-Look at the undecideds!
This is yet another polling story where the presence/absence of some sort of "not sure" option is crucial. Polls that didn't have an explicit "not sure" option showed higher initial support for vaccination than ones that did, and less substantial movement over the next few months
Less a case of a "right" or "wrong" format than one where different versions of the data tell a fuller story when looked at in aggregate.
Polls providing options beyond "yes" and "no" captured the public hesitation and potential for movement, while those that pushed respondents provided an early indication of the direction those people might ultimately break toward.
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This is excellent work, and I'm so glad someone tested this out.
"Telling people that Mr. Biden and Mr. Trump have been vaccinated...has an impact on some but not others...our findings suggest that presidents can nudge some of them further along that path."
"Republicans who outright say 'no' do not budge when told of [Trump's] endorsement of vaccines; however, among Republicans more on the fence, we see movement."
Also, recontact data: "Among those who previously said they were planning to get vaccinated, 16% now report having received at least one dose in our survey's control condition. Moreover, one in five of those who previously said maybe to getting a vaccine now say yes outright."
Adventures in question order:
"[W]hen refusals of gay and lesbian people are equated with refusing service to other minority groups, respondents might be more likely to view religiously based service refusals of gay and lesbian people as discriminatory in nature."
This is, additionally, yet another entry in "why you should always, always, always, always ask to see the toplines first."
Important takeaway here! It's way too easy to frame varying results on issue polling as "these opinions aren't real" when the better answer is "the way people think about this issue is complex, and that's reflected in the data." In the end, it tells us more, not less.
Partisan split is an easy takeaway here, but the way that *everyone* is overestimating (half of GOP/60% of inds are in top two categories!) I think lends itself to a bigger point about the difficulty of estimating probabilities, and translating small %s into so many lives.
Also, people (myself often included) are phenomenally bad at estimating percentages in general. I actually wonder whether people would have done better generally if instead of the numbers they got a more subjective/intuitive scale (e.g. "most," "about half," etc.)
Quite possibly not! But would be an interesting experimental design...