Posted on 08/24/2020 12:52:42 PM PDT by ransomnote
I had been wondering why, in spite of the statistics, a lefty I know has firmly declared that Covid-19 is the most virulent dangerous epidemic in the history of...well...ever (he was a little distressed when talking).
I came across a meme ridiculing the public for thinking the Covid-19 death rate is as low as it is and the offer to "correct the math".
They don't use the statistic for the likelihood a person would die if they contracted the virus. This number is usually given as .04 (lately) and as I keep being reassured that the number of people who get the virus is actually much larger (untested, asymptomatic), the percentage is actually much smaller. Many people are never tested.
Those claiming tragic death rates use the statistic that identifies the likelihood a person would die if they become sick with the virus. Even that higher number (over 5%) is likely much smaller because many people had the virus without knowing it. Unless you were tested when you had it, you're not in that statistic.
Also, if HCQ had been allowed for use by FDA and GOVERNORS, that number would be TINY no matter which statistic used.
A large proportion of deaths appear to be intentional - why else would 5 Dem governors force those diagnosed with Covid-19 into nursing facilities while at the same time stating the elderly are vulnerable to the illness. When Senator Steve Scalise tweetd that he sent letters to 5 Dem Governors regarding their pracitice of forcing Covid-19 patients into nursing homes, those facilities accounted for 40% of Covid-19 deaths.
Oh and there's fake death rates. Two immunologists from Kern County provided an interview in which they noted that a patient may have heart disease, COPD and be dying, and then diagnosed with Covid-19, the death certificate lists them as a Covid-19 mortality.
There's also the practice of counting any death within 60 days of a positive coronavirus test as a Covid death.
Here's lthe meme that defends the practice of over estimating the death rate. I'm thinking this is the number the MSM is clinging to - if they are even pretending they are basing their daily panic report on any actual number.
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So the left inflates the death rate, denies the public treatment for Covid, and then goes on and on about President Trump "murdering people" because he doesn't care, while they fake the Plannedemic to destroy our country and conduct a coup to regain power.
why would she not divide the total cases by the # of deaths to get the death rate? oh, cause that number would be lower...
99% of the cases are mild or asymptomatic... which means, twice the cases are out there not knowing they have had it.
making the death rate even lower.
Case fatality rate (CFR) is a massively flawed measure. It’s bounced around between 5% and 3% from month to month. The actual number to be concerned about is the infection fatality rate (IFR), which gives you an actual risk of death from infection that doesn’t depend on how many cases get missed.
The IFR has been estimated between 0.64% and 0.66% for months now. The CDC’s best estimate is 0.65% (https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html).
Sorry, a death rate for an infection does not leave off all the infected, and does not involve only the “recovered” and the deaths. “Deaths” is not merely related to recovered. it is, as a proper rate, related to the total cases. That’s a death rate of about 0.035 and it is vastly overstated because the case count - who all in the population is or has been infected, is seriously UNDER counted.
It seems that epidemiological mathematics showing causative results is not Mx Perez’ strong suit.
Or, even hxx weakest suit.
Universe: COVID positive = 5671984
Sub-group: deaths, from COVID positive = 175617
Rate, Deaths per COVID positive = 175617/5671984 = 0.0306
See?
Apples and oranges.
The death RATE (in the above example) is 0.031.
This is _NOT_ a percentage.
Our wise latinx is comparing a percentage to a rate and failing by a factor of 100.
You AssHat. 180000 dead Americans in 6 months.
Not enough for you?
Ah, there you are! You have an incredible amount of gall (or perhaps it’s a combination of ignorance and total lack of self-awareness) to be calling anyone an asshat. You’re the Mad Hatter of asshattery.
Even with the CFR calculation, I have no trust in the numerator given the incentives to code deaths as Covid.
Kozak, you’re the recognized asshat on FR with your daily posts of COVID19 false data. You don’t bother to read anything else or to think objectively. You just spew numbers from highly questionable sources.
In your article, you quoted a figure of 0.04 of dying from covid if you contract it.
Is this 4% or 0.04%?
What about what that tw@t from tw@tter attempted to do with Let’s Shout About Math and COVID!!
Is she correct?
That was my sense of it.
Thank you.
She is s[outing the Infected Death Rate (IFR) NOT the death (mortality) rate.
You are a sad, sad little man and you have my pity.
— Buzz Lightyear
Is AssHat the new word substitute for Kuk?
Where does she get that 39,000,000 flu figure from?
I’m not on the forum much anymore but I heard we had some non-thinkers here in regards to all things COVID. And now I’ve seen one. The “Mad Hatter of asshattery” indeed!
Kozak takes brainless to entirely new levels. I think he is just a troll agitator.
Here’s a statistic I’d like to see: what percentage of those people who have tested positive for covid-19 used masks/face coverings prior to their positive test? An inquiring mind wants to know.
GREETINGS!!!!!
There is a report out that shows a study by medical authorities on the flu and pneumonia. They took 700 patients who had been hospitalized with the flu + pneumonia. They tested all 700 and found that 18 of them tested positive for influenza. We have been lied to on many fronts, for many many years.
Probably from here: https://www.cdc.gov/flu/about/burden/preliminary-in-season-estimates.htm
But these are very preliminary estimates that won’t be finalized for a year or two. And these numbers are muddled by COVID-19. It’s going to take a lot to pick apart what this latest flu season actually looked like. Also worth noting that these numbers suggest a just slightly worse than average flu season.
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