Imagine that. All the evidence is showing COVID was the sniffles, not the Apocalypse

Oh God!
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Never, ever use logic or math with a RW nut job. It doesn't work!

You and I both know that when the death totals go over the number of flu deaths they'll all claim they never said it wouldn't.

Lol, just wait for it. In a small way you can admire the creative lengths they go to in order to defend trump.
 
Fake numbers.

New York City's Health Department said Tuesday it is now reporting "probable" Covid-19 deaths
of individuals who have not been tested for the coronavirus but are presumed to be positive.
The 4,059 probable cases pushed the death toll in New York City to nearly 11,000 victims.
 
Your childlike belief in 55% odds is noted.

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Your Queen wants to inject you. She's a "retired health care professional", you know.

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I don't get flu shots, leggiecrite. Maybe if I had, I wouldn't have gotten the flu two years ago. :thinking:

Not going to put down those who choose to get it, though.
 
And as late as March 10, Blue York Shitty DEMOCRATS were doing things like this:

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"WE CAN'T SHUT DOWN BECAUSE OF UNDUE FEAR".





Blue York Shitty DEMOCRAT Mayor Bill de Blasio seems to be trying to rewrite history.


He claimed on Thursday that he had been encouraging people early on to avoid public transportation if they could.

That just isn’t true.

Until March 10, this miserable excuse for a Mayor was still encouraging people to ride the subway. He even took a subway ride himself to encourage others to continue to do so on March 5.

He and his health officials said repeatedly it was unlikely to spread in that kind of setting, and claimed “You cannot contract it through casual contact, so the subway is not the issue” '

Trying to rewrite history. But this isn’t the Soviet Union and the internet is forever.

Here he is on March 10, it’s crazy:


https://www.redstate.com/nick-arama/2020/04/17/de-blasio-claims-that-he-told-new-yorkers-early-on-to-avoid-public-transit-like-subway-but-his-words-and-pics-bust-him/

:good4u:
 


You just answered your own question. The sources are CDC, John Hopkins, NIH, etc...as have been posted on this site about a hundred times now. :palm:
CDC does not provide actual numbers of flu deaths. (Neither does John Hopkins or NIH.) They provide estimates based on modeling. You are comparing estimates to an actual count. The estimate for deaths from Covid-19 ranges from 34,000 to 250,000 depending on the model used. If we use the estimates for Covid 19 to compare to the estimates for Flu, Covid 19 is 10-100 times worse. I didn't answer my own question. I pointed out you have no data and can provide no actual numbers of flu deaths. So, let me ask you again... Where is your hard data on flu deaths? I'll bet you have none. You certainly can't link to any of the sources you just claimed that is anything other than an estimate of flu.



Right, and they admitted publicly that those projections were complete trash, and that they had been wrong the entire time...exactly like I predicted. :dunno:
It seems you don't know how to read models. Most of the models provide ranges based on assumptions of transmission and mitigating measure being taken. The IHME models predict that on April 16 the US would have 30,493 deaths, instead we had 34,617. But the IMHE model also has a range that says we could have had 8000 deaths yesterday. It is the IMHE model that Trump is relying on. As we can see, it is underestimating for the most likely number. It will be corrected next week again. The top number on the model Trump is using is over 140,000 deaths, the lowest number is 30,000. Since we already have over 30,000, we know the range is wrong. By the way, if we use the flu estimates and the IHME estimates, which number is larger? In the high range - 140,000 for Covid or 62,000 for flu? in the low range 24,000 for Flu, 34,063 for Covid? The estimates Trump is using seem to prove your idiotic claims wrong.


Are you just uninformed or are you trying to resurrect long-debunked misinformation? :thinking:
Neither. I merely pointed out you don't have any hard data or models supporting your claims. It is you that is uninformed, clearly. Anyone that compares an estimate range to an actual number and tries to draw unsupported conclusions is ignorant.



Again, they admit openly that these numbers are wildly deliberately inflated. Died from a heart attack and you were an asymptomatic COVID carrier? You "died from COVID." That's drastically distorting the numbers, as is the flu having a vaccine and COVID not, as is the fact that far more people have been infected with COVID and not died than we can even possibly test (in other words, if a lot more people are INFECTED during that three weeks than were infected during any three week period with the flu, then the numbers SHOULD look high for that)...and even WITH all these distorted numbers...COVID is still not even as deadly as the ordinary flu.
Your failure to understand how deaths are counted does not mean the numbers are deliberately inflated. When this all is over and they look at the numbers, they could well find the numbers are much higher. It's easy to do, you look at the normal death rate for the last 5 years and compare it to this year. It is estimated the flu killed 43,000 people in the last 6 months. Covid has killed 38,000 in the last 6 weeks. You do realize that a month is a lot longer than a week, don't you? By the way, CDC estimates that 39,000,000 to 56,000,000 people had the flu over that 6 month time period. That is compared to less than 1 million for Covid in over 2 months. There is no way that more people were infected with Covid over a 3 week period than were infected with flu over an average 3 week time period. You might want to stop trying to prove you are an idiot with claims that are so obviusly false. Even if flu only lasts 3 days, the average number of people infected with flu during a given week would be 1.6 million and 725,000 would have it on any given day. You just look more and more uninformed.

But since you claim the numbers are inflated, you clearly must have a number you are using. Please present it with a source that I can check. Or are you that guy presenting zero facts and only rhetoric, conjecture, and old out-of-date and dead wrong from-the-start talking points?

This relies on a gigantic portion of the population that is not tested for COVID (because 80% are asymptomatic or have very mild symptoms)...and on deliberately inflated COVID death numbers. :bs:
No, it doesn't rely on deaths/infection. We can use deathst. It is easy to just compare deaths per week for flu compared to Covid to see which one has a higher mortality. Covid has killed 14,000 in one week. Even if we assume it is over counting and cut that in half it would be 7,000 in a week. Flu has killed a median estimate of 43,000 over 24 weeks. That means flu killed on average less than 2,000 per week. Which number is bigger? 14,000 or 2,000? An 8 year old can answer that question. Let's look at months. Covid has killed 34,000 in a month. Flu averages 7,200 per month. Which number is bigger 34,000 or 7,200? It has nothing to do with the number infected. It has to do with the total deaths per time period. Let's see your numbers proving flu has a lower mortality than Covid based on time period. Or once again are you just that guy presenting zero facts and only rhetoric, conjecture, and old out-of-date and dead wrong from-the-start talking points?

You get an A for effort. That's the closest anyone has come to forming a valid counterpoint thus far. :hand:
You get an F for failing to respond to any of my comments. Simply claiming something has been disproven doesn't make it so. I posted information on the increase in deaths. You have not addressed how those are occurring if Covid deaths are being over counted. Is there some other virus that is killing all those people because it isn't the normal rate we have seen every other year. You are simply reciting a 6 month number and comparing it to a 2 month number and claiming they are for the same time period. That is complete nonsense. (By the way, the flu numbers are technically from April to April, CDC doesn't count the start of the flu season until the number of tests reach a certain threshold which is why the are using Oct 1 for 2019/2020. It doesn't mean no one had flu prior to that.)
 


WITH deliberately, admittedly, inflating the numbers. And deaths...out of how many INFECTED in those three weeks? :palm:



Doctored numbers, no vaccine (unlike the flu), and far more people infected than we are even able to test...YES, OF COURSE that's not a big deal. :laugh:



I'm surrounded by COVID all the time. I have probably had it for months. I've had the sniffles several times. No one with a brain cares, because only morons hyperventilate about the sniffles like it's the Bubonic Plague.

:rofl2:


Yeah you are that guy presenting zero facts and only rhetoric, conjecture, and old out-of-date and dead wrong from-the-start talking points.

Mortality per population doesn't rely on number infected.

Number infected with flu is higher per week than the number infected with Covid is. You only make yourself look like an idiot when you don't know basic facts.
 
From the CDC's National Center for Health Statistics Mortality Surveillance System site, total U.S. deaths for March are DOWN 10% from the prior four years in a row. How does that happen if the sky is falling and we're all going to die?

:thinking:

OMFG. You really are that stupid. Your link says nothing about total US deaths for March. Did you not learn how to read by the 3rd grade? It only lists Pneumonia and Influenza deaths as percentages of deaths. It says nothing about deaths being down 10%.

When you actually find the data on deaths in the CDC website, it clearly shows deaths are not down by 10%.
https://www.cdc.gov/nchs/nvss/vsrr/COVID19/index.htm
Current reported deaths are only down by 5% with the following caveat *Data during this period are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction, age, and cause of death.

Because the data is not complete, you can't make any conclusions about whether deaths are up or down.
 
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