This is one thing that'll be really interesting to keep an eye on. I've thought for a while that if there's a social-trust driven non-response issue with election polls, that same bloc of non-responders would be likely to inflate vaccine numbers by a few points.
Will obviously be useful to have more comparison points - FWIW, when I looked at this a few weeks back when I was doing coronavirus polls for HuffPost/YouGov, our national numbers were tracking pretty well with national vaccination rates, although not sure how it's evolved since.
Further thought...if overestimating vaccination rates ends up being especially prevalent either in certain states, or in polls with particular modes/sample frames, that will also be fascinating data. (And again, way too early to start hypothesizing yet, but something to watch.)
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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...
To put into context, that's a significantly wider gap than on vaccine refusal.
These rapid cultural polarizations (see also: Kanye, the NFL, etc.) are always fascinating to me, because they seem silly, but also makes sense — presumably many Americans' partisan sentiments are stronger than their previous opinions on, say the royal family.
Also want to briefly highlight a poll finding I wasn't able to write up, but that I think might be useful for discussion!
There's been a lot of debate over public health messaging on the benefits of the vaccine, which raises the question: what do people think that message is?
We asked people what level of risk they thought they/others would face once vaccinated -- as you can see, clear education/partisan divides. Field dates are Feb. 19-23: s.crunch.io/widget/index.h… s.crunch.io/widget/index.h…
57% of people thought scientists were saying being vaccinated put them at lower (52%) or no (5%) risk of coronavirus. 11% said no decline in risk, rest were unsure or said science not yet settled.
Hi all -- just wanted to pop in quickly and say thank you for all the kind words and support, which are beyond deeply appreciated during a somewhat overwhelming week.
I also just want to take a moment to reflect on the HuffPost/YouGov poll. In my time running the partnership since 2014, we've fielded more than 1,000(!) surveys, asking Americans about everything from economic hardships and gun violence to the correct pronunciation of "GIF."
We've rerun historical polls from the 1930s to see what's changed, and checked into to see how people coped.
Not one of those polls included the question "Which candidate will you vote for?"
One thing that's probably worth mentioning as impeachment polling starts to come out: Until we have a better sense of factors behind 2020 election polling error, can't discount that some of the same factors are affecting non-election political surveys.
To the extent there was a likely-voter-model problem, that's not a factor. But differential non-response very well could be.
Reasonable hypothesis that national impeachment polling might understate opposition by up to 3-4 points.
Compared to elections (where slim margins can be crucial), something like 39% opposition vs. 42% opposition isn't as meaningfully different.
But it's probably a good reminder that all these numbers are, by definition, estimates.