More Evidence that Lockdowns Do Not Control Coronavirus

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24 studies that show lockdowns failed to control the virus. These studies show that the shut downs were ineffective because of bad data, no correlations, no causal demonstration, anomalous exceptions, too many variables to measure, seasonality, and more. Many of the studies concluded that far more damage was caused by the lockdowns than any benefits they produced. -GEG

The use of universal lockdowns in the event of the appearance of a new pathogen has no precedent. It has been a science experiment in real time, with most of the human population used as lab rats. The costs are legion.

The question is whether lockdowns worked to control the virus in a way that is scientifically verifiable. Based on the following studies, the answer is no and for a variety of reasons: bad data, no correlations, no causal demonstration, anomalous exceptions, and so on. There is no relationship between lockdowns (or whatever else people want to call them to mask their true nature) and virus control.

Perhaps this is a shocking revelation, given that universal social and economic controls are becoming the new orthodoxy. In a saner world, the burden of proof really should belong to the lockdowners, since it is they who overthrew 100 years of public-health wisdom and replaced it with an untested, top-down imposition on freedom and human rights. They never accepted that burden. They took it as axiomatic that a virus could be intimidated and frightened by credentials, edicts, speeches, and masked gendarmes.

The pro-lockdown evidence is shockingly thin, and based largely on comparing real-world outcomes against dire computer-generated forecasts derived from empirically untested models, and then merely positing that stringencies and “nonpharmaceutical interventions” account for the difference between the fictionalized vs. the real outcome. The anti-lockdown studies, on the other hand, are evidence-based, robust, and thorough, grappling with the data we have (with all its flaws) and looking at the results in light of controls on the population.

Much of the following list has been put together by data engineer Ivor Cummins, who has waged a year-long educational effort to upend intellectual support for lockdowns. AIER has added its own and the summaries. The upshot is that the virus is going to do as viruses do, same as always in the history of infectious disease. We have extremely limited control over them, and that which we do have is bound up with time and place. Fear, panic, and coercion are not ideal strategies for managing viruses. Intelligence and medical therapeutics fare much better.

(These studies are focused only on lockdown and their relationship to virus control. They do not get into the myriad associated issues that have vexed the world such as mask mandates, PCR-testing issues, death misclassification problem, or any particular issues associated with travel restrictions, restaurant closures, and hundreds of other particulars about which whole libraries will be written in the future.)

1. “A country level analysis measuring the impact of government actions, country preparedness and socioeconomic factors on COVID-19 mortality and related health outcomes” by Rabail Chaudhry, George Dranitsaris, Talha Mubashir, Justyna Bartoszko, Sheila Riazi. EClinicalMedicine 25 (2020) 100464. “[F]ull lockdowns and wide-spread COVID-19 testing were not associated with reductions in the number of critical cases or overall mortality.”

2. “Was Germany’s Corona Lockdown Necessary?” by Christof Kuhbandner, Stefan Homburg, Harald Walach, Stefan Hockertz. Advance: Sage Preprint, June 23, 2020. “Official data from Germany’s RKI agency suggest strongly that the spread of the coronavirus in Germany receded autonomously, before any interventions became effective. Several reasons for such an autonomous decline have been suggested. One is that differences in host susceptibility and behavior can result in herd immunity at a relatively low prevalence level. Accounting for individual variation in susceptibility or exposure to the coronavirus yields a maximum of 17% to 20% of the population that needs to be infected to reach herd immunity, an estimate that is empirically supported by the cohort of the Diamond Princess cruise ship. Another reason is that seasonality may also play an important role in dissipation.”

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The Truth
The Truth
1 year ago

Lockdowns would be more effective if everyone followed the rules to protect eachother…