Despite widespread communication of the health risks associated with the COVID-19 virus, many Americans underestimated its risks and were antagonistic regarding preventative measures. Political partisanship has been linked to diverging attitudes towards the virus, but the cognitive processes underlying this divergence remain unclear. Bayesian models fit to data gathered through two preregistered, online surveys administered before (March 13, 2020, N = 850) and during the first-wave (April-May, 2020, N = 1610) of cases in the United States, reveal two preexisting forms of distrust––distrust in Democratic politicians and in medical scientists––that drove initial skepticism about the virus. During the first-wave of cases, additional factors came into play, suggesting that skeptical attitudes became more deeply embedded within a complex network of auxiliary beliefs. These findings highlight how mechanisms that enhance cognitive coherence can drive anti-science attitudes.
A Darkening Spring: How Preexisting Distrust Shaped COVID-19 Skepticism
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Lol they themselves caused distrust by fli-flopping on everything right at the beginning (no masks and lockdowns don’t work! Nevemind, lockdowns and mask save lives if we do it for two weeks to flatten the curve! …4 weeks…a few months…one year….)
Yes.
And their discourse after "changing" their opinions on masks was that "they lied so that masks would go for who need them the most". So, this further reduced their credibility.But overall, the way that the media and "experts" have been communicating with the public is destroying their credibility.
Take their position on the GF protests while the lockdowns were happening. Political causes they support are changed to "public health crisis" and protests for this cause won't cause contaminations. But protests they dislike will cause an increase in contaminations.
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What do they mean by “underestimated it’s risks” weren’t all the initial estimates for how deadly the virus is vastly overstated. So if you actually underestimated the risks the experts expressed at the time, you were likely closer to the truth.
Explain why Florida had 87.6% excess deaths in August 2020.
https://www.cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htm
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Distrust? How about an organized climate change denial propaganda machine: https://www.desmog.com/covideniers-anti-science-covid-19-denial-overlaps-climate-denial/
For example, David Henderson. Big climate denier, tobacco promoter, covid denier, antimasker, antivaxxer.
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Distrust? How about an organized climate change denial propaganda machine: https://www.desmog.com/covideniers-anti-science-covid-19-denial-overlaps-climate-denial/
For example, David Henderson. Big climate denier, tobacco promoter, covid denier, antimasker, antivaxxer.
Henderson is a fellow of none other than the Hoover Institution, a major hub for covid denialism.
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What do they mean by “underestimated it’s risks” weren’t all the initial estimates for how deadly the virus is vastly overstated. So if you actually underestimated the risks the experts expressed at the time, you were likely closer to the truth.
Explain why Florida had 87.6% excess deaths in August 2020.
https://www.cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htm87.6% excess deaths probably works out to much lower than what the panic bro scientists were projecting in the early months of Covid.
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What do they mean by “underestimated it’s risks” weren’t all the initial estimates for how deadly the virus is vastly overstated. So if you actually underestimated the risks the experts expressed at the time, you were likely closer to the truth.
Explain why Florida had 87.6% excess deaths in August 2020.
https://www.cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htm87.6% excess deaths probably works out to much lower than what the panic bro scientists were projecting in the early months of Covid.
Nearly twice as many people dying than expected from the long-run average.
Magãtærds: meh, I think I heard some leeb say they feared worse.
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What do they mean by “underestimated it’s risks” weren’t all the initial estimates for how deadly the virus is vastly overstated. So if you actually underestimated the risks the experts expressed at the time, you were likely closer to the truth.
Explain why Florida had 87.6% excess deaths in August 2020.
https://www.cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htmHe won't because he can't
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Nearly twice as many people dying than expected from the long-run average.
Magãtærds: meh, I think I heard some leeb say they feared worse.If you multiply a small number by two, it is still a small number.
Moreover, deaths is not the relevant welfare metric. QALY is. And deaths will massively overstate it because deaths are concentrated in people with few and poor LYs remaining.
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Nearly twice as many people dying than expected from the long-run average.
Magãtærds: meh, I think I heard some leeb say they feared worse.If you multiply a small number by two, it is still a small number.
Moreover, deaths is not the relevant welfare metric. QALY is. And deaths will massively overstate it because deaths are concentrated in people with few and poor LYs remaining.If this was the case, and covid simply kiIIed those that would've died a few months later anyways, then excess deaths should see a significant dip below the long-run average shortly after the covid peaks with +80% excess deaths. How come we didn't see such dips in any state?