Why I spoke out against lockdowns – Professor Martin Kulldorff, Spiked

I had no choice but to speak out against lockdowns. As a public-health scientist with decades of experience working on infectious-disease outbreaks, I couldn’t stay silent. Not when basic principles of public health are thrown out of the window. Not when the working class is thrown under the bus. Not when lockdown opponents were thrown to the wolves. There was never a scientific consensus for lockdowns. That balloon had to be popped.

…Ultimately, lockdowns protected young low-risk professionals working from home – journalists, lawyers, scientists, and bankers – on the backs of children, the working class and the poor.

News Opinion

Jay Bhattacharya, Stanford Doctor, Calls Lockdowns the ‘Biggest Public Health Mistake We’ve Ever Made’ – Newsweek

Dr. Jay Bhattacharya, a professor at Stanford University Medical School, recently said that COVID-19 lockdowns are the “biggest public health mistake we’ve ever made…The harm to people is catastrophic.”

I stand behind my comment that the lockdowns are the single worst public health mistake in the last 100 years. We will be counting the catastrophic health and psychological harms, imposed on nearly every poor person on the face of the earth, for a generation.

At the same time, they have not served to control the epidemic in the places where they have been most vigorously imposed. In the US, they have – at best – protected the ‘non-essential’ class from COVID, while exposing the essential working class to the disease. The lockdowns are trickle down epidemiology.


A country level analysis measuring the impact of government actions, country preparedness and socioeconomic factors on COVID-19 mortality and related health outcomes – The Lancet

Increasing COVID-19 caseloads were associated with countries with higher obesity (adjusted rate ratio [RR]=1.06; 95%CI: 1.01–1.11), median population age (RR=1.10; 95%CI: 1.05–1.15) and longer time to border closures from the first reported case (RR=1.04; 95%CI: 1.01–1.08). Increased mortality per million was significantly associated with higher obesity prevalence (RR=1.12; 95%CI: 1.06–1.19) and per capita gross domestic product (GDP) (RR=1.03; 95%CI: 1.00–1.06). Reduced income dispersion reduced mortality (RR=0.88; 95%CI: 0.83–0.93) and the number of critical cases (RR=0.92; 95% CI: 0.87–0.97). Rapid border closures, full lockdowns, and wide-spread testing were not associated with COVID-19 mortality per million people. However, full lockdowns (RR=2.47: 95%CI: 1.08–5.64) and reduced country vulnerability to biological threats (i.e. high scores on the global health security scale for risk environment) (RR=1.55; 95%CI: 1.13–2.12) were significantly associated with increased patient recovery rates.