COVID news has become so politicized that it’s even harder than usual to sort out the wheat from the chaff. But I’ll try.
The latest news is that the estimate of potential life lost from COVID in the US so far is about 2.5 million years:
Elledge essentially quantified the absence left behind by COVID-19 and drew his results from data on life expectancy and mortality from the Social Security Administration and US Centers for Disease Control and Prevention (CDC). Findings were posted this week in medRxiv ahead of peer review.
“This is an astounding cost and surprising given the apparent public misperception that COVID-19 is a disease that disproportionately impacts the elderly and is somehow of less concern to the rest of society,” Elledge wrote.
I don’t see what’s “astounding” about any of it. Obviously, some young people have died and their life expectancies are high. And even people of 70 or more have average life expectancies that are more than zero. So if you have about 220K deaths, you’re going to have millions of years of life lost.
What’s more, of course, we have a case of at least partial “garbage in, garbage out” having to do with how COVID deaths are counted. If you look at the CDC charts, you’ll see that COVID deaths are defined as deaths involving COVID. We have no real idea of how many of those deaths were really from COVID as opposed to with COVID, but it’s almost certainly not all of them.
Way down at the bottom of the NY Post article you also have this caveat:
However, there are possible sources of error in the data. For example, life expectancies vary across ethnicities in the US population and this factor was not fully accounted for in the analysis.
Lacking statistics on comorbidities also create a source of error in the data. Health issues like obesity, chronic kidney disease and diabetes can result in shorter life expectancies and since the analysis could not fully take this into account, some of the calculations may be “artificially increased.”
That makes perfect sense. But these statistics will be used to scare people – for political purposes – anyway. Now we can blame Trump not just for 200K+ dead people, but for millions of productive years gone!
Here’s some perspective from the past – specifically, the H1N1 pandemic of 2009, when Obama was president and Biden vice president:
By applying the age-group mortality data from the European study to the estimated deaths, the researchers calculate that the pandemic took a toll [in the US] of between 334,000 and 1,973,000 years of life lost (YLL).
I don’t recall hearing much about that. Do you? And from the same article, more history (the figures apply to the US):
–The 1968 pandemic, with 86,000 deaths and victims averaging 62.2 years old, caused 1,693,000 YLL.
–The 1957 pandemic, with 150,600 deaths and a mean age of 64.6, caused 2,698,000 YLL.
–The 1918 pandemic, with an estimated 1,272,300 deaths and a mean age of only 27.2, exacted a toll of 63,718,000 YLL.
–An average flu season dominated by influenza A/H3N2—which generally causes more severe epidemics than other strains—causes 47,800 deaths and 594,000 YLL, with a mean age of 75.7.
So there you have it – and of course, all of it is estimates. Not only that, but those years of life lost are among smaller US populations than now, so they had greater impact.
And I will add that, but for COVID and its politicization, I believe that Trump would be winning this election easily. Now, with COVID, I just don’t know. But I do know that the opposition has made the propagandist most of the tragedies resulting from this pandemic.