Studies since March 2020 have documented and assessed the impacts of mass quarantining of healthy populations, a policy never attempted before in modern medicine. A precept in medicine is first do no harm, but lockdowns are proven to do much harm for little or no good.

Below we cite 27 published papers finding that lockdowns had little or no efficacy (despite unconscionable harms) along with a key quote or two from each.

A study by researchers at the BMJ and Yale titled ‘Effects of non-pharmaceutical interventions on COVID-19: A Tale of Three Models‘ found that :

“Inferences on effects of NPIs are non-robust and highly sensitive to model specification. Claimed benefits of lockdown appear grossly exaggerated.” [1] 

A study in The Lancet found that:

“government actions such as border closures, full lockdowns, and a high rate of COVID-19 testing were not associated with statistically significant reductions in the number of critical cases or overall mortality” [2]

While a study published by Sage reported:

“Official data from Germany’s RKI agency suggest strongly that the spread of the coronavirus in Germany receded autonomously, before any interventions become effective” [3]

Another study at found that:

 “the decline in infections in England…began before full lockdown…[S]uch a scenario would be consistent with…Sweden, which began its decline in fatal infections shortly after the UK, but did so on the basis of measures well short of full lockdown” [4]

A study at reports:

“the UK lockdown was both superfluous (it did not prevent an otherwise explosive behavior of the spread of the coronavirus) and ineffective (it did not slow down the death growth rate visibly).” [5]

While reported in The Times of Israel we find:

“Given that the evidence reveals that the Corona disease declines even without a complete lockdown, it is recommendable to reverse the current policy and remove the lockdown” [6]

A study from tells us:

“stay at home orders, closure of all non-essential businesses and requiring the wearing of facemasks or coverings in public was not associated with any independent additional impact” [7] 

Then again at

“these strategies might not have saved any life in western Europe. We also show that neighboring countries applying less restrictive social distancing measures … experience a very similar time evolution of the epidemic. Since the full lockdown strategies are shown to have no impact on the epidemic’s slowdown, one should consider their potentially high inherent death toll as a net loss of human lives” [8]

Then consider this at where we read:

“The case of Sweden, where the authors find the reduction in transmission to have been only moderately weaker than in other countries despite no lockdown having occurred, is prima facie evidence” [9]

While back at

 “…general social distancing was also projected to reduce the number of cases but increase the total number of deaths compared with social distancing of over 70 only” “Strategies that minimise deaths involve the infected fraction primarily being in the low risk younger age groups—for example, focusing stricter social distancing measures on care homes where people are likely to die rather than schools where they are not….results presented in the report suggested that the addition of interventions restricting younger people.” [10]

Again, we find another study at

“We show that [lockdown] is modestly superior in saving lives compared to [focused protection], but with tremendous costs to prevent one case of death. This might result in overwhelming economic effects that are expected to increase future death toll”  [11] has a study that tells us:

“For pathogens that inflict greater morbidity at older ages, interventions that reduce but do not eliminate exposure can paradoxically increase the number of cases of severe disease by shifting the burden of infection toward older individuals” [12]

From papers.ssrn.comwe learn:

 “Current policy can be misdirected and can therefore have long and even short-term negative effects on human welfare and thus result in not actually minimizing death rates (incorporating externalities), especially in the long run.” [13]

While we see at

“For example, the data…shows a decrease in infection rates after countries eased…lockdowns with >99% statistical significance. Indeed…infection rates have declined after reopening even after allowing for an appropriate measurement lag. This means that the pandemic and COVID-19 likely have its own dynamics unrelated to often inconsistent lockdown measures that were being implemented.” [14]

Stay at home orders are exposed in the JAMA study at

 “restrictions imposed by the pandemic (eg, stay-at-home orders) could claim lives indirectly through delayed care for acute emergencies, exacerbations of chronic diseases, and psychological distress (eg, drug overdoses).” “In 14 states, more than 50% of excess deaths were attributed to underlying causes other than COVID-19; these included California (55% of excess deaths) and Texas (64% of excess deaths)”  [15]

Disturbing data is shown in

“We found that 180-day of mandatory isolations to healthy <60 (ie schools and workplaces closed) produces more final deaths if the vaccination date is later than (Madrid: Feb 23 2021; Catalonia: Dec 28 2020; Paris: Jan 14 2021; London: Jan 22 2021)” [16]

Again, from Europe we see more lockdown failings in

“Comparing weekly mortality in 24 European countries, the findings in this paper suggest that more severe lockdown policies have not been associated with lower mortality. In other words, the lockdowns have not worked as intended” [17]

More evidence of no benefits come in

“Our findings … further raise doubt about the importance in NPI’s (lockdown policies in particular) in accounting for the evolution of COVID-19 transmission rates over time and across locations” [18]

Meanwhile, back at

 “[the] President…has flatly denied the seriousness of the pandemic, refusing to impose a lockdown, close schools, or cancel mass events…Yet the country’s death rate is among the lowest in Europe-just over 700 in a population of 9.5 million” [19]

We learn at

“living with children 0-11 years was not associated with increased risks of recorded SARS-CoV-2 infection, COVID-19 related hospital or ICU admission but was associated with reduced risk of COVID-19 death (HR 0.75, 95%CI 0.62-0.92).” [20]

In another telling paper from

 “This study shows that the virus is already here, and we must find ways of living with it such that it caused no or minimal human and socioeconomic losses in … Nigeria as a whole…. going back to the lockdown should never again be entertained” [21]

Now check out this in 

“recruits were under the constant supervision of Marine Corps instructors. Other settings in which young adults congregate are unlikely to reflect similar adherence to measures intended to reduce transmission.” [22]

Then we learn from

“The national criteria most associated with death rate are life expectancy and its slowdown, public health context (metabolic and non-communicable diseases (NCD) burden vs. infectious diseases prevalence), economy (growth national product, financial support), and environment (temperature, ultra-violet index). Stringency of the measures settled to fight pandemia, including lockdown, did not appear to be linked with death rate” [23]

Lockdowners can see more bad news for their policy at

“Whether a county had a lockdown has no effect on Covid-19 deaths; a non-effect that persists over time. Cross-country studies also find lockdowns are superfluous and ineffective (Homberg 2020). This ineffectiveness may have several causes. ” [24]

The insanity of lockdown exposed further at

 “There are no historical observations…that support.. confinement by quarantine of groups of possibly infected people for extended periods…The negative consequences…are so extreme…this mitigation..should be eliminated from serious consideration” [25]

It was very predictable, according to

 “we present data demonstrating that mortality due to covid-19… could have been largely predicted even before the pandemic hit Europe, simply by looking at longitudinal variability of all-cause mortality rates in the years preceding the…outbreak” [26]

Lockdown or no lockdown, the outcome was monotonously the same as shown in 

“Our analysis shows that while infection levels decreased, they did so before lockdown was effective, and infection numbers also decreased in neighbour municipalities without mandates, There are of course anecdotal observations as well–e.g., Florida is doing better than California despite DisneyWorld having been open for months and California having no current plan to ever reopen anything, let alone Disneyland. I could do a similar thread on the harms of lockdowns (and school closures in particular) but that seems unnecessary as such harms have been well documented. If lockdowns were extremely effective, their desirability from a policy perspective would at least be a conversation worth having. However, these papers suggest they have limited effectiveness at best AND horrible side effects. ” [27]


[1] doi:

[2] DOI:



[5] Comment on Flaxman et al. (2020, Nature, The illusory effects of non-pharmaceutical interventions on COVID-19 in Europe’, Stefan Homburg, Christof Kuhbandner


[7] doi:

[8] doi:


[10] doi:

[11] doi:

[12] doi: 10.1097/EDE.0b013e31817734ba

[13] Altman, Morris, Smart Thinking, Lockdown and COVID-19: Implications for Public Policy (May 22, 2020). Journal of Behavioral Economics for Policy, 2020, Available at SSRN:


[15] doi:10.1001/jama.2020.11787


[17] Bjørnskov, Christian, Did Lockdown Work? An Economist’s Cross-Country Comparison (August 2, 2020). Available at SSRN: or

[18] DOI 10.3386/w27719

[19] doi:

[20] doi:

[21] doi:

[22] DOI: 10.1056/NEJMoa2029717




[26] doi:

[27] doi:

The above research by Brumby on Twitter, re-formatted by John O’Sullivan

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