Johns Hopkins study says ill-founded lockdowns did little to limit Covid deaths
health.wusf.usf.edu
health.wusf.usf.edu
The lockdowns were, and are, meant to spread out the deaths that we knew were going to happen. The goal was, and is, to avoid acutely overwhelming our hospital systems so people with emergency ailments like a heart attack could still get immediate care.
It's my understanding that there are STILL places with some sort of lockdown going on.
The effect of lockdowns is particularly difficult to quantify though because the results seem to have been mostly the same in my area which had no lockdowns / restrictions / masking after May 1 2020 and some other places which have had all manner of restrictions and some people are even still wearing masks nearly two years later.
There are really so many variables and variable outcomes. It's really kind of a dream scenario for a data scientist because I don't know that there has ever been such a large push to make statistical information available. Their needs to be some sort of gauge / metric to quantify the level of restrictions and also look at the externalities of those.
What did you think "bend the curve" meant, exactly? But that was the mantra when these measures were instituted.
The hope was also that by preventing such ‘overwhelming’, net lives would be saved – whether just by keeping those other non-COVID medical services available, or also by delaying COVID cases to later when knowledge or capacity would allow better treatment.
If you believe this meta-analysis, even that capacity-sparing aspect showed very little effect on total deaths.
"Fauci defends coronavirus lockdowns as saving 'millions of lives'"
https://thehill.com/policy/healthcare/503468-fauci-defends-c...
Thankfully we have control groups in Sweden and Florida, so you can prove your point in a very simple way by showing me the increased heart attack deaths in both those places.
FYI written by a bunch of economists.
1. If we didn't lockdown - hospital system would have likely collapsed - more deaths illness in the system and secondary effects.
2. The rate of spread would have been faster and probably we would have seen variants get more traction.
3. Lockdowns bought us time to get vaccinations developed, manufactured and distributed and taking off some of the burden on our health care system for which we are only still paying the costs of (burn out for employees, delayed procedures etc).
These guys clearly have an agenda .. one of them works at the Cato Institute. The also released this under the brand of John Hopkins knowing full well it would get attention for its Health reputation but its John Hopkins economics. Slimy.
2. The rate spread could have been much faster, leading us to Omicron, a mild variant with little impact.
3. Lockdowns brought economic/financial hardship on many people. Stimulus efforts provided little for those whose livelihood was impacted by government decisions.
Your focus is on the healthcare system, but the economy is an extensively complex system that has been significantly impacted. Sure the report was released out of John Hopkins, but the authors knew it would reach a larger audience than released under the Cato Institute. These studies and findings are to enable discussion about future policy decisions.
These guys knew what they were doing and they knew it was a topic that is very inflammatory, they are releasing it DURING the pandemic. Their backgrounds reduces most value that they bring to the table. There is an ideological cloud over their findings. They are doing this for publicity - maybe a Joe Rogan interview in the near future to discuss.
I am not about to investigate all the sources to uncover the likely cherry picked findings or unrealistic comparisons
My results show that a large share of the excess mortality in Sweden in April 2020 may be partially explained by a vulnerable, elderly population due to very mild flu seasons in 18/19 and 19/20 as well as very few deaths during the 2019 summer compared to earlier years and compared to other Nordic countries.
My results illustrate – and I cannot stress this enough – that plain coincidences may be important when understanding the COVID-19-death toll in a country compared to national lockdown policies.
Note: Funding: I work for a libertarian think tank in Denmark. The funding is mostly undisclosed - even for employees - except for a few charitable foundations.
Conflict of Interest: None.
[0] https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3702595
https://pubmed.ncbi.nlm.nih.gov/34161818/
Also the meta-study submitted is certainly creative in their understanding of the studies. For exmaple:
> Using the OxCGRT and the World Bank datasets, our regression analysis reveals that containment policies have a significant direct effect in reducing the fatality rate of COVID-19 pandemic.
Becomes:
>A stricter lockdown (1 stringency point) reduces deaths by 0,1% after 4 weeks. After 8 weeks the effect is insignificant.
(the 0,1% comes from nowhere on the paper)