Why
are governments the world over rendering hundreds of millions of their citizens
jobless, impoverishing at least a billion people, endangering the family life
of millions (straining marriages, increasing child and spousal abuse, and
further postponing marriage among young people), bankrupting vast numbers of
business owners and workers living paycheck to paycheck, and increasing
suicides?
The reason
given is that we must lock down virtually all human social and economic
activity in order to prevent millions of people from dying of the coronavirus
and overwhelming hospitals.
But is it true? Was this lockdown necessary?
In order to answer these questions, we need to
know how many people would have died from COVID-19 if we hadn't ruined the
world's economic life.
The truth is we don't know. And the truth is we
never knew. A large swath of the "expert" community cloaked itself
with unscientific certitude, beginning, on March 16, with a model from the
Imperial College London -- the source governments relied upon for the decision
to ruin their economies -- which projected about 2.2 million Americans and half
a million Brits would die.
Almost every national leader, politician and
media outlet in the world believed that model. As I explained in my last
column, modern men and women have substituted "experts" for prophets
and priests. Science is the secular religion, and "experts" are its
prophets and priests. In fact, they have greater authority among the secular,
especially those left of center, than the pope of the Catholic Church has among
Catholics. Whereas popes have invoked the doctrine of "infallibility"
twice in the history of the Catholic Church, "experts" invoke it
every day among the secular faithful.
But on what grounds are we to believe that
millions would die without ruining the American -- and the world's -- economy?
Without our being told by an omniscient God, there is no way to know the
definitive answer.
But here are some data that cast doubt on those
assumptions, based entirely on the only metric that matters: deaths per 1
million. The number of confirmed infected people is meaningless, since so few
people anywhere have been tested for the virus, and we don't know how many
people already had the virus and never knew it. (Moreover, asymptomatic or
minimally symptomatic carriers of the virus constitute the majority of those
infected.)
As of yesterday, according to the Worldometer
website, the United States ranked 12th, with 71 deaths per 1 million people. (I
have not included San Marino and St. Martin because they have such small
populations.)
France's death rate is 229 per 1 million, three
times greater than that of the United States, and it went on national lockdown
March 17. America didn't go on national lockdown because that decision is the
responsibility of states. So, let's take California, the most populous American
state (and therefore nearest to France's population). California went on
statewide lockdown March 19, two days after France. The death rate from
coronavirus in California is 2 per 100,000. Two. Deux.
That means France, which went on lockdown only
two days prior to California, has more than 100 times the death rate.
And Nebraska,
one of the few U.S. states that has not locked down -- to the intense anger of
the state's Democrats at its Republican governor -- has a death rate of less
than 1 per 100,000 (according to the Washington Post's daily listing of U.S.
coronavirus deaths).
What do these statistics say about the efficacy
and indispensability of a lockdown?
To give you an idea of how unreliable much
"expert" thinking is, the Los Angeles Times published an article on
April 10 titled "California's Coronavirus Death Toll Is Way Below New
York's. Here's Why."
In it, the authors, needless to say
unquestioningly, reported that Nicholas Jewell, identified as "a UC
Berkeley biostatistician," explained why California had so many fewer
deaths than New York:
"Just putting those controls in place a
single day earlier makes a huge, huge difference in the growth rates,"
Jewell said, referring to California Gov. Gavin Newsom's March 19 lockdown
order, whereas New York Gov. Andrew Cuomo waited three more days to lock down
New York state. That, according to the expert from UC Berkeley and the Los
Angeles Times, explains the "huge, huge difference in the growth
rates" between the two states.
Then the article added a line that undermined its
entire thesis:
"Florida Gov. Ron DeSantis didn't impose a
stay-at-home order until April 1." Apparently, it never occurred to the
Los Angeles Times authors to even look up Florida's death rates. The
nonconservative media have been largely worthless during this crisis --
intellectually vapid, and, along with "experts," the primary stokers
of panic.
If a few days' delay in ordering the lockdown of
a state (or country) makes a "huge, huge difference" in death rates,
Florida should have had a worse death rate than New York, let alone California.
Yet Florida's death rate is among the lowest in the country: 24 per 1 million
-- despite the fact that Florida, along with Maine, has the largest percentage
of elderly people (those 65 and over) in any American state.
And then there is Sweden, the one industrialized
Western democracy that did not shut down -- engendering intense anger from
scientists and other "experts," as well as left-wing media (i.e.,
virtually all major media) across the world. Sweden, which still has its
restaurants and businesses open, is far below Spain, Italy, Belgium, France,
the U.K., the Netherlands, Switzerland and Luxembourg -- all of which have
national lockdowns -- in deaths per 1 million. Yes, Sweden's death rate per 1
million is higher than its Scandinavian neighbors, Norway and Denmark, which
did lock down their economic life. But as of the latest report, in the past two
days, Sweden, which has almost exactly the same number of people as Denmark and
Norway combined, lost 20 of its citizens to the coronavirus, while its
neighbors lost 18.
The left blames President Donald Trump for our
crisis (as if only America is undergoing economic ruin and loss of life).
If they were
honest, they would blame reliance on "experts" and
"modeling." But they hate Trump more than they love Americans -- or truth.
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