evilanne
Well-known member
Wondering how this will impact the workforce for those still working? https://www.whitehouse.gov/briefing...sease-2019-vaccination-for-federal-employees/
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The source was a Facebook study in which the researchers admit that it appears many of the reponses were unlikely to be valid. It is not peer reviewed yet and the researcher herself indicated: A sensitivity analysis found some people answered in the extreme ends of some demographic categories to throw off some of the numbers. King said it appeared to be a “concerted effort” that “did make the hesitancy prevalence in the Ph.D. group look higher than it really is.”For example, they observed higher hesitancy rates than expected in the oldest age group — 75 and over — as well as the top end in terms of education level.
“We found that people basically used it to write in political … statements,” King said. “So they weren’t genuine responses. They didn’t really complete the survey in good faith.”
https://www.wnct.com/news/north-car...-claims-about-vaccine-hesitancy-among-ph-d-s/
I thought these stats were interesting, although I don't know the source.
We can make some assumptions based on the numbers as far as where gov't employees might fall on the graph, but the PhD figure is interesting. Are doctors employers or employees?![]()
So are they are saying there was some type of conspiracy to throw off the results of a Facebook survey because results were not what they expected?
The source was a Facebook study in which the researchers admit that it appears many of the reponses were unlikely to be valid. It is not peer reviewed yet and the researcher herself indicated: A sensitivity analysis found some people answered in the extreme ends of some demographic categories to throw off some of the numbers. King said it appeared to be a “concerted effort” that “did make the hesitancy prevalence in the Ph.D. group look higher than it really is.”For example, they observed higher hesitancy rates than expected in the oldest age group — 75 and over — as well as the top end in terms of education level.
“We found that people basically used it to write in political … statements,” King said. “So they weren’t genuine responses. They didn’t really complete the survey in good faith.”
https://www.wnct.com/news/north-car...-claims-about-vaccine-hesitancy-among-ph-d-s/
Not sure bout those with PHD's in Philosophy, Political Science, Art History, etc...but for MD's, over 96% are reported to be fully vaccinated (this was in June, the number is likely even higher now).
AMA survey shows over 96% of doctors fully vaccinated against COVID-19
https://www.ama-assn.org/press-cent... 11, 2021,in vaccination rates across regions.
Covered federal contractors and subcontractors must be vaccinated against COVID-19 and show proof of it by December 8.
Contractors must designate someone to coordinate the implementation of and compliance with the mandate. Covered contractors must show proof of vaccination. “An attestation of vaccination by the covered contractor employee is not an acceptable substitute for documentation of proof of vaccination,” said the guidance.
Here is more detail on the survey: https://www.ama-assn.org/system/files/2021-06/physician-vaccination-study-topline-report.pdf
For those with statistical backgrounds, is 301 sample size for a population of approximately 900,000 doctors adequate?
I'm skeptical of anything from the AMA, CDC or FDA these days with anything related to COVID. All do not promote any early treatment (inexpensive drugs like Budesinide, HCQ or Ivermectin have been censored or vilified in the press). Frontline doctors were attacked & censored when they tried to raise a red flag and if you go to the hospital with COVID their protocols will put you the expensive Remdesivir protocol and ventilator where you are more likely to die. Follow the money.
Thanks for responding. I don't remember much from my college stats class but I thought it was more of a percentage based on population. I don't know about surveys & pollsStatistically as long as the survey size is "random", 30 is enough to draw conclusions with a high degree of confidence.
One of the few things I remember from my college statistics class.
And if one doesn't believe the CDC, AMA, FDA, then you're skeptical about the best information out there, and probably fall prey more easily to fake internet viral "sources".