Imagine if the nation was ruled by a dictatorship of doctors.
It turns out the “experts” from Imperial College were wrong in their early computer model of the coronavirus. Imperial College originally predicted that more than 500,000 people could die in the U.K., and two million or more could die in the U.S.
Stanford University scientists just conducted a coronavirus antibody test, which tested 3,330 people, concluded that the infection is both more common than previously thought and possesses a lower fatality rate than what current data suggest.
Sacramento radio talk show host Phil Cowan and I have been calling for a random sampling test for over a month now. While we are glad it’s finally done, it sure could have saved a lot of jobs, businesses and heartache had it been done early on.
“While it appears that we are dealing with a nasty virus clearly dangerous to older age groups and people in densely populated cities, the same politicians who have fanatically shut down cities, counties and entire states are committed to and continue to ramp up fear so that citizens will accept their extreme orders as necessary,” California Globe reported April 6th.
“Dr. Jay Bhattacharya, one of the contributors to the study, wrote an opinion article in March questioning the models showing that millions of people in the United States would die from the virus and pointed out that more testing is needed to determine the fatality rate,” the Times reported.
“Fear of Covid-19 is based on its high estimated case fatality rate — 2% to 4% of people with confirmed Covid-19 have died, according to the World Health Organization and others,” he wrote in the Wall Street Journal. “So if 100 million Americans ultimately get the disease, two million to four million could die. We believe that estimate is deeply flawed. The true fatality rate is the portion of those infected who die, not the deaths from identified positive cases.”
As the Globe said April 6th, Many physicians are now saying the lockdown and social distancing orders are preventing herd immunity, and will drag out the course of the virus. “Stanford biophysicist and Nobel laureate Michael Levitt said this week, ‘The real situation is not as nearly as terrible as they make it out to be,’” Daily Wire reported. “Last week, Levitt emphasized: ‘[Y]ou need to think of corona like a severe flu. It is four to eight times as strong as a common flu, and yet, most people will remain healthy and humanity will survive.’”
“Governor Newsom could talk to biophysicist Michael Levitt at Stanford, just down the highway from the State Capitol, but Levitt would poke gaping holes in the governor’s scare tactics. Most people don’t fear the virus as much as they fear this indeterminate sentence.”
Meanwhile, California is still in police-enforced lockdown.