Are you getting the vaccine? - Absolute trashfire thread, please enter with caution

99.8%, not 98%.
2.0% > 0.2%.
The Infection Lethality Rate of SARS-CoV-2 is closer to 0.2% than it is 2%. Effectively less than a quarter of a percent.
I'm not sure what moon math you're using.

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599k/33.4m=0.01793413173 or 1.79%.
 
I'm not sure what moon math you're using.

View attachment 2264092
599k/33.4m=0.01793413173 or 1.79%.
so what? We're using STATISTICS.
You are not using Statistics.


Statistics​


Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as "all people living in a country" or "every atom composing a crystal". Statistics deals with every aspect of data, including the planning of data collection in terms of the design of surveys and experiments.


When census data cannot be collected, statisticians collect data by developing specific experiment designs and survey samples. Representative sampling assures that inferences and conclusions can reasonably extend from the sample to the population as a whole. An experimental study involves taking measurements of the system under study, manipulating the system, and then taking additional measurements using the same procedure to determine if the manipulation has modified the values of the measurements. In contrast, an observational study does not involve experimental manipulation.


Two main statistical methods are used in data analysis: descriptive statistics, which summarize data from a sample using indexes such as the mean or standard deviation, and inferential statistics, which draw conclusions from data that are subject to random variation (e.g., observational errors, sampling variation). Descriptive statistics are most often concerned with two sets of properties of a distribution (sample or population): central tendency (or location) seeks to characterize the distribution's central or typical value, while dispersion (or variability) characterizes the extent to which members of the distribution depart from its center and each other. Inferences on mathematical statistics are made under the framework of probability theory, which deals with the analysis of random phenomena.


A standard statistical procedure involves the collection of data leading to test of the relationship between two statistical data sets, or a data set and synthetic data drawn from an idealized model. A hypothesis is proposed for the statistical relationship between the two data sets, and this is compared as an alternative to an idealized null hypothesis of no relationship between two data sets. Rejecting or disproving the null hypothesis is done using statistical tests that quantify the sense in which the null can be proven false, given the data that are used in the test. Working from a null hypothesis, two basic forms of error are recognized: Type I errors (null hypothesis is falsely rejected giving a "false positive") and Type II errors (null hypothesis fails to be rejected and an actual relationship between populations is missed giving a "false negative"). Multiple problems have come to be associated with this framework, ranging from obtaining a sufficient sample size to specifying an adequate null hypothesis.


Measurement processes that generate statistical data are also subject to error. Many of these errors are classified as random (noise) or systematic (bias), but other types of errors (e.g., blunder, such as when an analyst reports incorrect units) can also occur. The presence of missing data or censoring may result in biased estimates and specific techniques have been developed to address these problems

I mean if my doctor thought a widespread, highly transmissible disease with around a 2% kill rate was not worth protecting yourself from, I would probably find a new doctor.
It's been proven beyond the shadow of a doubt that Covid is NOT deadly. and "Highly transmissible" is hilarious since the infection rate (statistical speaking) is low.

Furthermore, if you dare cite anything "Doctor" Fauci has stated in the past year... he proved himself to be 100% unreleable as a source when he got caught lying.
 
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- Having a sperg fest over a virus with an overwhelming survival rate.

"I have a chance of .003% of dying from this novel virus, better get injected with a vaccine to protect myself."

I'm willing to bet the people ardently advocating for mass vaccinations are fat or smoke themselves stupid.
0.003% chance of dying? You really, really suck at math.

There are 360 million people in the US. Even if everyone caught it (which is not even close to the case), 0.003% of 360,000,000 is 10,800 (360 m x 0.00003). There was 600k deaths. So your math is way, way, way off and your username checks out.
 
0.003% chance of dying? You really, really suck at math.

There are 360 million people in the US. Even if everyone caught it (which is not even close to the case), 0.003% of 360,000,000 is 10,800 (360 m x 0.00003). There was 600k deaths. So your math is way, way, way off and your username checks out.
Why are you so opposed to evidence ?
 
I'm not sure what moon math you're using.

View attachment 2264092
599k/33.4m=0.01793413173 or 1.79%.
He claims to be a biologist but has no idea what herd immunity is or that there were covid vaccines that weren't mRNA and has shown to really suck at math, so I wouldn't expect much. Then again, anyone who claims to be a biologist that is anti-vax like him is obviously lying anyway.

Why are you so opposed to evidence ?
It's simple math, retard. If it were a 0.003% chance of dying, there would be way fewer deaths. I know you right-wing tards are known for sucking at math and science, but it's not a difficult calculation
 
I mean the same people calling people doomposting about the virus are doomposting about vaccines which statistically kill significantly less people then the virus go figure. Only arguments they have are convenient ones like they are hiding the numbers or memory holing all the vaccine deaths also there are a shit ton of doctors and biologists on the forum all of a sudden. This is some schitzo level shenanigans happening in these threads.
 
I tried to go get the J&J today. I just wanna be one and done. They only administer it one day a week, though, and today ain't that day. I called another place and they said I'd have to give my personal information for the state database.

Fuck it, I tried at least. Just gonna rawdog life maskless for now. Maybe John Doe from Parts Unknown will get vaccinated next week.
 
I'm not sure what moon math you're using.

View attachment 2264092
599k/33.4m=0.01793413173 or 1.79%.
That's Case Fatality Rate (CFR) which is dubious because there are more people infected than officially reported.

Infection Lethality Rate (IFR) is the actual chance someone will die if infected by that disease.
The IFR of SARS-CoV-2 has been estimated at 0.23-0.27% (so tbf a little higher than 0.2 flat, but still a whole decimal smaller than 2.0), as reported by peer-reviewed sources.

(this is old news, FYI)
 
I'm not sure what moon math you're using.

View attachment 2264092
599k/33.4m=0.01793413173 or 1.79%.
Now include the at this point likely hundreds of mellons of people who, by virtue of their good overall health, didn't or barely notice being infected with the Wuhan plague and subtract all of the people who had a parachute opening failure while technically suffering from the result of Chinese bioweapons research at the time of impact.

What you're left with is effectively about as fatal as hayfever.
 
That's Case Fatality Rate (CFR) which is dubious because there are more people infected than officially reported.

Infection Lethality Rate (IFR) is the actual chance someone will die if infected by that disease.
The IFR of SARS-CoV-2 has been estimated at 0.23-0.27% (so tbf a little higher than 0.2 flat, but still a whole decimal smaller than 2.0), as reported by peer-reviewed sources.

(this is old news, FYI)
I mean you don't apply that logic to one disease and not the others, and say oh look its less deadlier then the flu. Fact of the matter is you can apply this logic with the flu or any illness and then the numbers would be a fraction of what is shown on the data. At the end of the day do you want to catch a novel disease that is several times more dangerous then the regular flu? I have had the flu and sometimes its pretty fucking rough, so I said to myself I would rather pass and get vaccinated so that I do not need to go through a nasty bout of illness, instead ill take a sore arm for a day or two.
 
That's Case Fatality Rate (CFR) which is dubious because there are more people infected than officially reported.

Infection Lethality Rate (IFR) is the actual chance someone will die if infected by that disease.
The IFR of SARS-CoV-2 has been estimated at 0.23-0.27% (so tbf a little higher than 0.2 flat, but still a whole decimal smaller than 2.0), as reported by peer-reviewed sources.

(this is old news, FYI)
But I thought they were just lying and claiming more cases than actually existed and claiming someone who died because an anvil fell on them actually died of COVID. I'll grant we were apparently arguing about two different things.
I have had the flu and sometimes its pretty fucking rough, so I said to myself I would rather pass and get vaccinated so that I do not need to go through a nasty bout of illness, instead ill take a sore arm for a day or two.
I almost always get the flu shot so it's really a no-brainer to get one for something a multiple of times more dangerous than the flu no matter how you look at it, I mean other than through crazy goggles. The only exception is every few years they screw up the flu shot for that year and predict what strain will predominate incorrectly, and then the flu shot is pretty much useless if you're in an area where the shot doesn't have the strain or strains that matter. Or if they fucked up gauging demand, and there's a priority for old people to get it.
 
But I thought they were just lying and claiming more cases than actually existed and claiming someone who died because an anvil fell on them actually died of COVID. I'll grant we were apparently arguing about two different things.
These people need to manipulate and be disingenuous with the numbers to make their arguments sound semi-coherent, where normal people just look at the data provided and see that covid deaths>vaccine deaths. Also at this point in NA more people have been vaccinated at least once probably twice then people infected by covid further watering down the ratio of deaths compared to covid.
 
It's been proven beyond the shadow of a doubt that Covid is NOT deadly. and "Highly transmissible" is hilarious since the infection rate (statistical speaking) is low.

Furthermore, if you dare cite anything "Doctor" Fauci has stated in the past year... he proved himself to be 100% unreleable as a source when he got caught lying.
Fauci led the AIDS taskforce in the 80s trying to convince people they would get HIV just by being in the same room as an HIV infected person.

If anyone believes anything this pasty beady eyed goblin says they are autistic beyond belief.

Fuck that ugly clout chasing freak.
 
Well, finally had my last shot of the vax monday (Moderna, for those curious) and while the first shot wasn't bad with barely any side effects, the second one was a real wrecker. Started the next day, headache that turned into a fever, massive dizzyness that got so bad I had to leave work and just lay down and just slept while being on painkillers. It's better now but holy shit I didn't expect that kinda shitshow. Glad it's over now though. I hope.
 
He claims to be a biologist but has no idea what herd immunity is or that there were covid vaccines that weren't mRNA and has shown to really suck at math, so I wouldn't expect much. Then again, anyone who claims to be a biologist that is anti-vax like him is obviously lying anyway.


It's simple math, retard. If it were a 0.003% chance of dying, there would be way fewer deaths. I know you right-wing tards are known for sucking at math and science, but it's not a difficult calculation
you keep ignoring the real math... so go fuck your self righteous self.

Even super liberal, Trump hating Jon Stewart knows that Covid is a sham...

 
you keep ignoring the real math... so go fuck your self righteous self.
I literally just showed you the math. 360,000,000 x 0.00003 is way less than the 600k that died. You are not only a complete retard, but you suck at math and apparently can't read because I showed my work. No wonder you right-wing tards hate education so much, I would, too, if I was as retarded as you

Even super liberal, Trump hating Jon Stewart knows that Covid is a sham...

I see your debilitating autism has made you not able to see satire and sarcasm yet again. I didn't know so many of you right-wing retards were autistic, but here we are
 
you keep ignoring the real math... so go fuck your self righteous self.

Even super liberal, Trump hating Jon Stewart knows that Covid is a sham...

Ah a Tim Pool watcher. Explains a lot
I see your debilitating autism has made you not able to see satire and sarcasm yet again. I didn't know so many of you right-wing retards were autistic, but here we are
Jon Stewart replies to Colbert’s skepticism by saying “stop with the logic”. I don’t get how anyone could not see it as a joke
 
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