The key is estimated. Most covid cases go unreported.
https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/burd...
Estimated flu infections per season: ~25,000,000
Confirmed COVID cases last 12 months: ~22,000,000
Estimated COVID cases using 7x reporting ratio (CDC): ~154,000,000
If we compare CDC estimates for both diseases, COVID is 6 times more infectious than the flu. So, CFR doesn't tell the whole story, and it is disingenuous to pretend that it does. I think your original comment calculated an estimated CFR of 0.278% for COVID (253k deaths divided by 91M cases by end of November), while the estimated CFR for the flu is 0.16% (40k deaths divided by 25M cases per season). Using these numbers, the CFR of COVID is 1.7 times that of the flu. But, when multiplied by the infectiousness, it kills 10 times as many people. A comparison of the absolute death toll matches this result: Estimated flu deaths per season: ~40,000
Confirmed COVID deaths last 12 months: 360,000
Note that the number of COVID deaths is under-representative because several months accounted for a period of low-spread, whereas flu is already endemic in the population. COVID was roughly considered widespread in April, so that's 9 months of full-on proliferation with 356,000 deaths. Extrapolating for the next three months projects ~475,000 deaths from April 2020 thru March 2021. This is probably an underestimate because if the next two months are like December (as projected), we'll hit just over 500,000 deaths. Now, we don't even know how many COVID deaths are unreported, but for the sake of argument we can just pretend that this is negligible.So, even a modest estimate of projected deaths also confirms that COVID over 10 times deadlier than the flu in absolute terms.
I've been to many large parties, I went to 3 Stop the Steal protests (and came into contact with probably 10,000 people easily), I never wear a mask, I take no precautions and I'm fine.
If you consider the start of this in late March, and look at late July (a four month flu season) then the US fatalities were about 140K. Compiled from Official State Websites, you can check historical data at
https://covidtracking.com/data
The 2018 flu season was 80K fatalities.
https://www.cnn.com/2018/09/26/health/flu-deaths-2017--2018-...
So, for the standard four month flu season ending in early August, COVID was roughly twice as bad as a very bad flu season, with per capita death rates varying wildly around the country. So for that period the commenter is basically correct, unless you have a problem with official State health authorities and the CDC. These numbers are right.
It’s now 360K after 9 months and nationwide, according to the same site compiled from Official State websites. With 40 of the 50 States with per capita fatality rates within a factor of two of each other (500-1000 people/death).
So it is back-to-back and twice-as-bad...the very very bad flu season that hasn’t stopped yet and is now pretty evenly distributed nationwide. Not the plague, but not just a very bad flu (for the elderly at least).
The poster never referred to IFR explicitly. I personally prefer old-fashioned per-capita death rates unless I’m modeling dynamics. Neater, cleaner.
From a policy standpoint, deaths still skews towards the very old. Median death age in late 70s in my county. So politics of sending Grandma out of the igloo into the blizzard, and potential confusion of elderly dying with COVID v. dying from COVID still relevant for lockdown policy and the like.
First, GP is nowhere near "half-right". Most egregious is calculating a CFR which is one fifth of the true value (as best we know with the current data). This is much closer to "absolutely wrong" than "verifiably correct", so no, "half-right" is absolutely a stretch in my book. In terms of absolute severity COVID is roughly 10 times deadlier than the flu, so there is no comparison here. And this is before we even begin to talk about the lasting effects of the disease. Suffice to say that there is no argument in terms of severity; COVID is much, much worse than the flu.
Second, comparing four months at the beginning of the pandemic when the disease was early in its spread vs. four months of endemic flu season (where the flu virus already has a sufficient foothold across a wide swath of the population) is completely erroneous. A much better comparison (though still imperfect) would be to measure across the same time period (December-March) with the same societal mitigations. In the last month, we've seen nearly 80,000 COVID fatalities in the US, so if we want to assume a similar rate over the next 3 months (likely an underestimate given the current upward trend), that's 320,000 deaths. And that's with fairly substantial behavioral restrictions to reduce the spread of the virus. You also neglected to mention that the 2017-2018 flu season was the worst in the last 10 years, where most flu seasons attribute around 40,000 deaths in the U.S. each year. So, even if we decide to ignore the fact that COVID cases are already suppressed due to behavioral mitigations, and me being generous with all of these estimates, at the very least it is four times worse than the worst flu season we've seen in the last 10 years. In reality, COVID unabetted is probably on the order of 10 flu seasons wrapped into one.
Come March we'll have a better estimate of flu deaths for this season, but I wouldn't be surprised if the restrictions see the number of flu fatalities drop below 20k or even 10k. Granting some intellectual honesty, the stats would unfortunately be significantly confounded due to COVID-induced strain on our healthcare system, and the fact that many individuals who would have died from the flu are now dead from COVID instead. But as a loose comparison, I foresee that ~20 times more people will die from COVID this winter than from the flu.
Like you said, policy is a different matter. Obviously it's worth discussing varying isolation strategies so that low-risk populations aren't significantly affected by the lockdown measures, while high-risk groups are isolated and supported. But that is a completely separate discussion. My main concern is with speech that abuses numbers and proliferates a societally-harmful mentality without discussing any of the actual nuances and trade-offs of the issue. As a suggestion for future commenters, if you want to try to compare the harm of lockdown measures versus the harm of the disease, you better make sure that your numbers are accurate before moving on to cost-benefit analysis.