3 ms·
I take issue with the "substantial number" claim. Where are the studies that actually show it is a substantial number? Where's the peer-reviewed replication of
by NateEag 6y ago
I take issue with the "substantial number" claim.
Where are the studies that actually show it is a substantial number? Where's the peer-reviewed replication of those studies? How do those studies account for the "Lizardman constant" (https://slatestarcodex.com/2013/04/12/noisy-poll-results-and-reptilian-muslim-climatologists-from-mars/ https://slatestarcodex.com/2013/04/12/noisy-poll-results-and...)?
Maybe I'm unique, but I'd guess many of the downvoters have similar complaints.
- evan_ 6y ago"Half of Fox News viewers think Bill Gates is using pandemic to microchip them, survey suggests" https://www.independent.co.uk/news/world/americas/fox-news-bill-gates-conspiracy-pandemic-donald-trump-vaccine-republicans-a9529301.html https://www.independent.co.uk/news/world/americas/fox-news-b...
- NateEag 6y agoIf accurate, half of people thinking that is a ton, and a huge issue. As I suggested in my first post, though, not all studies are created equal. This one could be accurate, but I'm not jumping straight to 98% certainty based on two articles. Survey design matters, and high confidence must be earned. I shouldn't have said I take issue with the claim. It would have been more accurate to say I don't know that I trust the claim implicitly.
- deleted 6y ago[deleted]
- matwood 6y agoOnly about half of Americans say they would get a COVID-19 vaccine if the scientists working furiously to create one succeed, according to a new poll from The Associated Press-NORC Center for Public Affairs Research. https://www.cbsnews.com/news/coronavirus-vaccine-half-americans-would-get/ https://www.cbsnews.com/news/coronavirus-vaccine-half-americ... How many people does it take to become 'substantial'?
- NateEag 6y agoOkay, that's some information, and certainly half is a lot. If you didn't read my link, I suggest you do. Plenty of polls are designed in a way that almost encourage terribly inaccurate results. Perhaps these aren't, but I'm not going to be convinced they're accurate by just a cursory glance at results. I'm not saying they're necessarily wrong, either - just being skeptical until I see a really strong case.