CDC Coding Error Led To Overcount of 72,000 COVID-19 Deaths (theguardian.com) 213
Last week, after reporting from the Guardian on mortality rates among children, the CDC corrected a "coding logic error" that had inadvertently added more than 72,000 Covid deaths of all ages to the data tracker, one of the most publicly accessible sources for Covid data. The Guardian reports: The agency briefly noted the change in a footnote, although the note did not explain how the error occurred or how long it was in effect. A total of 72,277 deaths in all age groups reported across 26 states were removed from the tracker "because CDC's algorithm was accidentally counting deaths that were not Covid-19-related," Jasmine Reed, a spokesperson for the agency, told the Guardian. The problem stemmed from two questions the CDC asks of states and jurisdictions when they report fatalities, according to a source familiar with the issue.
One data field asks if a person died "from illness/complications of illness," and the field next to this asks for the date of death. When the answer is yes, then the date of death should be provided. But a problem apparently arose if a respondent included the date of death in this field even when the answer was "no" or "unknown." The CDC's system assumed that if a date was provided, then the "no" or "unknown" answer was an error, and the system switched the answer to "yes." This resulted in an overcount of deaths due to Covid in the demographic breakdown, and the error, once discovered, was corrected last week. The CDC did not answer a question on how long the coding error was in effect.
"Working with near real-time data in an emergency is critical to guide decision-making, but may also mean we often have incomplete information when data are first reported," said Reed. The death counts in the data tracker are "real-time and subject to change," Reed noted, while numbers from the National Center for Health Statistics, a center within the CDC, are "the most complete source of death data," despite lags in reporting, because the process includes a review of death certificates.
One data field asks if a person died "from illness/complications of illness," and the field next to this asks for the date of death. When the answer is yes, then the date of death should be provided. But a problem apparently arose if a respondent included the date of death in this field even when the answer was "no" or "unknown." The CDC's system assumed that if a date was provided, then the "no" or "unknown" answer was an error, and the system switched the answer to "yes." This resulted in an overcount of deaths due to Covid in the demographic breakdown, and the error, once discovered, was corrected last week. The CDC did not answer a question on how long the coding error was in effect.
"Working with near real-time data in an emergency is critical to guide decision-making, but may also mean we often have incomplete information when data are first reported," said Reed. The death counts in the data tracker are "real-time and subject to change," Reed noted, while numbers from the National Center for Health Statistics, a center within the CDC, are "the most complete source of death data," despite lags in reporting, because the process includes a review of death certificates.
Conspiracy Theorists Right Again (Score:2, Interesting)
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Those of us who have been pointing out since the beginning of this thing that there was piss-poor data separation between "with" and "from" were consistently called "conspiracy theorists",
While those of us who looked at the excess deaths from all causes just got ignored. Looking at excess deaths suggests that COVID-19 deaths are undercounted
and now they're just shifting the numbers around to what we thought they should have been the whole time...
You think the numbers should have been 7.5% lower? OK.
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Seriously. If anything it shows that they're willing to acknowledge mistakes in the data.
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Looking at excessive deaths from all causes can't distinguish between COVID deaths and deaths from heart attacks that would have been treatable if the patient wasn't too terrified to go to the hospital, or cancer deaths because treatment was considered elective, or increased suicides (one hospital reported more suicides in April of 2019 than in all of 2018).
Meanwhile, CDC policy on reporting COVID deaths said, in plain English (it's since been couched in confusing, highly technical language, of course) that
Conspiracy Theorists still ignorant, as usual (Score:2)
Looking at excessive deaths from all causes can't distinguish between COVID deaths and deaths from heart attacks that would have been treatable if the patient wasn't too terrified to go to the hospital,
Yes, in fact it can. Because they record deaths by heart attack. They did not increase.
or cancer deaths because treatment was considered elective,
Yes, it can. Because they also record cancer deaths, and they didn't go up.
or increased suicides (one hospital reported more suicides in April of 2019 than in all of 2018).
Yes, it can. Because they also record suicide deaths. And, in fact... they did go up. But not anywhere near enough to account for the excess deaths.
Look, just because you don't know it, there nevertheless is very good data available.
Meanwhile, CDC policy on reporting COVID deaths said, in plain English (it's since been couched in confusing, highly technical language, of course) that doctors should report any death in which they believed the patient had symptoms consistent with COVID as a COVID death.
Bullshit. Stop believing all the shit you read on conspiracy sites on the internet.
The "plain english" CDC page is
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There are cases where if someone had the proper treatment. they'd survive, but because doctors were too busy dealing with more urgent cases, they cou
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Those who are numbers people are always looking for independent counts. For instance there were about 2.85 million deaths in 2019, about 15,000 more than 2018. In 2020, there were about 3.39 million deat
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The families of the people who died? Do you think the coroner is substituting wax figures for the corpses and their family members just think, "Oh, mom looks peaceful"? And if your imaginary corpses are being trucked, wouldn't they be truckloads and not boatloads?
And how would that work? Would the families j
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I think you mixed up Hillary Clinton with Paris Hilton?
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I wasn't really accusing you. You're right about everything but I don't see any clever coroner getting away with with mass fraud on a scale that would make it worthwhile.
In fact, it's not death from COVID that get enhanced payments from the government, it's whether the patient was put on a ventilator. In those cases, Medicare pays additional money to cover the expenses associated with the ventilator. There were not hospitals making beaucoup bucks from calling non-COVID cases COVID. That's a fantasy.
Re: Conspiracy Theorists Right Again (Score:2)
and who would notice
jesus christ, please put down the keyboard and consider never writing out your thoughts again, it's depressing people are this dumb
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One source that people always forget in such things are the insurance companies. They always notice on shorter and longer terms. They are the best second source for such figures and trends.
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Re: Conspiracy Theorists Right Again (Score:2)
"the NSA is spying on everyone" comes to mind. It was a conspiracy theory until Snowden showed it was also reality.
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A harder, but more useful question, is what percentage of conspiracy theories have proven to be true. Just dumb luck is going to have a few come true or at least have a viable interpretation to make them seem true.
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Those of us who have been pointing out since the beginning of this thing that there was piss-poor data separation between "with" and "from" were consistently called "conspiracy theorists", and now they're just shifting the numbers around to what we thought they should have been the whole time...
No. They were called out as being irrelevant which you still are. You can massage "with" and "from" all you like, the reality is the excess deaths statistics show that even the "inflated" figure was massively undercounting the deaths we have had related to the disease.
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Those of us who have been pointing out since the beginning of this thing that there was piss-poor data separation between "with" and "from" were consistently called "conspiracy theorists", and now they're just shifting the numbers around to what we thought they should have been the whole time...
Last week's "conspiracy theory" = this week's "news".
In an unrelated matter, NYT says that the Hunter Biden laptop was, er, real after all ...
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Even if the numbers were 72k too high, the death rate is still extremely high in the US.
This error makes no difference to any of the arguments based on the number of people dying.
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That's not why you were called a conspiracy theorist. You were called a conspiracy theorist because you followed it up by saying, "therefore COVID isn't killing people" or some such nonsense.
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Out of a million dead Americans, you think this makes a difference? If you actually knew what you were talking about you would know cases were being under-reported, not over, especially early on when there weren't enough tests. The mortality rates prove it. Only in your fantasy can a million extra Americans over the average be dead during the pandemic but it's just magical coincidence, not possibly related to the disease they all happened to test positive for while dying.
Drug and Alcohol related deaths rose substantially as did incidents of avoidable deaths caused by failure to seek medical attention. Hospitals lost insane amounts of money throughout the pandemic as people avoided hospitals and elective procedures were canceled or postponed.
Assuming all excess deaths must have been caused by covid is clearly a fantasy as well.
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Whereas statements such as "correctly" are pure, unadulterated bullshit.
Remember when (Score:4, Insightful)
Neither can I (Score:2)
[Remember when] Slashdot wasn't filled with political zealots who scream inane things at the top of their lungs all the time? (sigh)
Neither can I.
Re: Neither can I (Score:2)
It's not nearly as bad as it seems (Score:2)
Basically if you're still posting here you're probably older, bitter and angry. I know I am. There isn't as much new Cool tech as there used to be because cell phones took over the world so there isn't a lot to just chat about. If you're going to get in de
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Slashdot wasn't filled with political zealots who scream inane things at the top of their lungs all the time?
No, I don't. I don't remember such a time and neither do you, unless you were here before it was Slashdot. You just imagined it to make yourself feel like you wasted less time. You didn't.
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Slashdot wasn't filled with political zealots who scream inane things at the top of their lungs all the time?
No, not really. It was always full of inconsistent political zealots ... for example, H1B was sooo bad, but lotsa immigration for blue collar was moral and good.
I do remember when it was biased more towards freedom though. And against censorship.
And there's 3 million "unexplained" deaths (Score:2)
72k isn't even a drop in the bucket compared to that.
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I thought that was what the GP was trying to say... the unexplained deaths are only significant in red states since the vaccines got widespread.
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72k is more than a "drop in the bucket" in this context. Like, have you any idea how much larger a bucket is than a drop?
The big deal is not the error (Score:2)
The big deal is that we HAD(?) to rely on the government to tell us that the government made an error.
If so, that's not a system that can be trusted.
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It's a lot more trustworthy than a bunch of uneducated and uninformed loudmouths repeating facebook memes.
Reasonable Assumption (Score:2)
As someone who processes unclean data, this seems an entirely reasonable data processing normalization step. If a date was provided, I would also assume the respondent simply forgot to toggle the other field, because it is natural for respondents to assume that inserting a date would also imply a "yes".
I wonder.. (Score:2)
Re: I wonder.. (Score:2)
Rather (Score:2)
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Not trivial, but I can't see that it "shifts the narrative". Whether the number of deaths in the US is 975,862, or 903,586, still a lot. So I'd say error sounds right.
Hanlon's razor.
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Died FROM covid or died WITH covid? https://cbs12.com/news/local/u... [cbs12.com]
Over-reporting would help explain why influenza completely disappeared for two years.
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Died FROM covid or died WITH covid? https://cbs12.com/news/local/u... [cbs12.com]
Over-reporting would help explain why influenza completely disappeared for two years.
No, it wouldn't. Influenza was being heavily tested for. It just wasn't occurring. This is actually fairly easy to explain, too. There are two factors involved:
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You might have missed the story about CDC pulling huge batches of RT-PCR test kits because they couldn't distinguish between COVID and influenza: https://www.cdc.gov/csels/dls/... [cdc.gov]
Quit spreading misinformation. What you're saying is pure fiction.
There was a recent recall for the Alinity test (which was made by Abbott Laboratories, not the CDC) last August because of a software bug that could cause a false positive for the test kit processed immediately after an actual COVID-positive test kit, and there have been a few other similar one-off issues that affected small numbers of tests, but there have not been ANY recalls caused by a COVID test confusing COVID and influenza. That woul
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What you're saying is pure fiction.
How many peer-review articles do you read per week? Have you done actual research into sensitivity and specificity of the various tests floating around or do you just go by the headlines?
If you've concluded that all manner of tests perform equally awesome, then you're probably suffering from confirmation bias.
See: https://www.ncbi.nlm.nih.gov/p... [nih.gov]
Still not right [Re:Right] (Score:2)
What you're saying is pure fiction.
How many peer-review articles do you read per week?
Usually about one to two a week, but it varies significantly depending on what project I'm currently working on.
...
If you've concluded that all manner of tests perform equally awesome, then you're probably suffering from confirmation bias. See: https://www.ncbi.nlm.nih.gov/p... [nih.gov]
That article is about immunological tests (whether blood has antibodies to COVID-19. Whether a given illness is COVID-19 is done by PCR tests.
If you're not aware that these are completely different things, you really shouldn't be commenting. PCR tests are very specific, and a test for COVID-19 really won't accidentally give a positive for influenza.
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What you're saying is pure fiction.
How many peer-review articles do you read per week?
Quite a few.
Have you done actual research into sensitivity and specificity of the various tests floating around or do you just go by the headlines?
Yes. The specificity of all PCR tests (ignoring contamination) is typically close enough to 100% that the difference isn't worth talking about. Maybe you're confusing PCR tests with serology tests or rapid antigen tests?
If you've concluded that all manner of tests perform equally awesome, then you're probably suffering from confirmation bias.
See: https://www.ncbi.nlm.nih.gov/p... [nih.gov]
Serological = blood. Tests for antibodies are inherently less accurate than PCR tests because your body produces a lot of different antibodies for a given virus, and some of those antibodies are very similar to the antibodies that it produces for other viruses in the same fami
Re: Right (Score:2)
Influenza under-count has two other factors that rule against this hypothesis.
1) The flu shots were mostly useless. This means the flu variants didn't traverse the normal trajectories in the population. Which means the expected variants weren't as wide spread in the human population and beat out the weaker ones. Other non-vaccinated variants ran around in smaller circles.
2) There was and is an up spike in flu cases and severity post COVID highs caused by lack of exposure for a long duration. Basically peo
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Everyone would have less exposure overall. The R value of most flu strains is much lower than COVID. Even low masking rates would be enough to cause a large drop in flu cases.
Re: Right (Score:2)
I don't even consider this an error. It's a change in assumptions about the person giving the answers. In ALL processes that interact with people, there is an error rate.
The former assumption was that if a more complicated A2 was contradicting a simpler A1 then assume the person made a mistake in answering Q1. This is normal.
Now they just assumed A2 is wrong and A1 is right. It's a "wronger" assumption from a collection view point, but not when you are trying to get more solid number of deaths rather tha
If you can read this Subject, you are too far away (Score:2)
If you have to feed the trolls, can't you at least come up with a non-vacuous Subject?
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pandemic
Citation needed.
This sounds more and more like a self-fulfilling prophecy. We declared a pandemic, and counted deaths as pandemic induced. We then used the death counts to justify a pandemic was afoot, rather than a seasonally bad coronavirus. Within the next few years, there will be a seasonally bad rhinovirus, and a few years after that, a seasonally bad influenza virus. Rinse. Repeat.
Colds are seasonal, and kill a million people a year on average, 60k in the US is typical. We had an outlier year, bu
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Colds are seasonal, and kill a million people a year on average, 60k in the US is typical. We had an outlier year, but nothing extraordinary like the 1918 Spanish Flu.
Actually, it was worse [nytimes.com] than the 1918 flu, compared to the 5-year average death rate. This only looks at total deaths, so the analysis is completely immune to any issues with classification or consideration of how people died: it tells us how many more people died than we expected to die. Could this have been due to chance? Sure. It would have been a pretty extraordinarily unlikely event, however, especially when it also happened in every other country in the world, and when the number of excess deaths and t
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Re: Right (Score:2)
What's your theory for the excess deaths of it's not covid-19?
What killed the hundreds of thousands of extra people?
Re: Right (Score:2)
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I'd also be curious how many of the excess deaths that weren't coded as COVID were from COVID. There have been over 1 million excess deaths during the pandemic compared to earlier years and while some of them might be due to medical issues from over crowded hospitals, the reduced travel should have brought numbers down so the most logical reason is covid.
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I'd also be curious how many of the excess deaths that weren't coded as COVID were from COVID. There have been over 1 million excess deaths during the pandemic compared to earlier years and while some of them might be due to medical issues from over crowded hospitals, the reduced travel should have brought numbers down so the most logical reason is covid.
My best guess, based on what I've read, would be somewhere in the neighborhood of 200% of them. Well, not necessarily the same 72k deaths plus another 72k, to be fair....
What's interesting is that what I've read suggests that this was caught because of a huge spike in child deaths that appeared rather suddenly this year. So my guess is that this was a fairly recent bug.
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2020 - Expected deaths: 2,938,177
2020 - Actual deaths: 3,353,789
2021 - Expected deaths: 2,948,723
2021 - Actual deaths: 3,447,405
Total Excess Death: 914,924.
COVID reported Deaths in 2020 + 2021: 824,839.
The additional excess deaths are from suicides, lack of medical care access because of shut down hospitals or fear of going to hospital, increases in crime, hunger and weather, and drug overdoses.
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The additional excess deaths are from suicides, lack of medical care access because of shut down hospitals or fear of going to hospital, increases in crime, hunger and weather, and drug overdoses.
Umm... at least in the U.S., suicides went DOWN by 3% (1,532) [npr.org] in 2020. And most deaths resulting from being afraid to go to the hospital are likely to be from things like cancer, most of which will be delayed by a couple of years or more, i.e. most of those haven't even happened yet.
BTW, your numbers for 2020 look like they are way off to me. In the U.S., there were an estimated 522,368 [jamanetwork.com] excess deaths during the last 10 months of 2020, and it's pretty hard to reconcile that with your 416k.
Re: Right (Score:2)
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Suicides that test positive for Covid 19 are not counted as such, and I named more.
Horses**t. Suicides most certainly are not counted as COVID deaths. Ever. It's all I can do to not laugh when you say something so utterly ridiculous.
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I am sincere and am not a hippocrite.
The second part of this is true. Trolls are not the same as hypocrites.
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1) 72,000 is not that many in the stats
2) they corrected the numbers, which is supposed to be good and not an indication of malfeasance.
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The CDC's persistent attitude of "trust us; we are the only experts who count"
When the choices are the CDC and some random yahoo on Facebook, I'll take the CDC every time.
You can see the impasse and how problematic it is.
Not really. We have experts for a reason.
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Is that right wing tears or is that just you snowflakes melting?
Sorry, masking and social distancing were very effective. We have the data to show that. Keep crying if you want, but it won't change reality.
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Make mistake, admit error. The 'other side' NEVER does that.
The other side says that if you change your story - for any reason - it means you were lying. You're supposed to irrationally stick with what you've decided is the truth to have integrity.
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So is Russia, you tool. Now clean up your desk. Even by the standards in Novosibirsk, it looks like a trash heap.
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Sorry, that paper is completely useless [usatoday.com].
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We have clear evidence that lockdowns are effective from across the world. Been seeing a lot of meta-analysis papers out there which tend to just keep adding studies that are either bad or a different topic until they can reach the point they're trying to make
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We have clear evidence that lockdowns are effective from across the world.
Citation required.
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Citation provided [science.org].
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Been seeing a lot of meta-analysis papers out there which tend to just keep adding studies that are either bad or a different topic until they can reach the point they're trying to make
There has been a whole lot of the following nonsense during the pandemic:
Numbers go up, intervention imposed, numbers go down. Conclusion: Intervention caused numbers to go down.
Try "Numbers went up. Interventions were imposed in some counties and not others. Numbers went down in counties where interventions were imposed, but continued to rise in counties where interventions weren't imposed."
There's ample evidence that these interventions reduced the rate of case growth. But don't let science stand in the way of a right-wing propaganda rant.
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There's ample evidence that these interventions reduced the rate of case growth.
At best, you can claim there is evidence that interventions correlated with temporary reduction in the rate of case growth. This a) doesn't mean interventions caused reductions b) doesn't mean that total case count was reduced c) doesn't mean that total death and illness over epidemic caused it.
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The one who posted a trash paper claiming "our meta-analysis fails to confirm that lockdowns have had a large, significant effect on mor
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You exhibit typical NPC behavior. I might as well be replying to a chatbot coded to spew talking points.
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Admit it, you have no response to the challenge that the things that you dismiss as "correlations," because you disagree with what they conclude, you will paradoxically accept as definitive, if you agree with what they conclude.
And no, I'm calling it a trash paper
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I don't think baseline of voluntary actions is unreasonable. The question was whether mandates were necessary, which they weren't, and not whether unrealistic 'no reaction' scenario would have been better. There is a huge difference between 'nobody is allowed to go to the bar' and 'I am at a high risk category, I don't think I should go to the bar'. In a free country, individuals make deci
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Also, I'm calling it a "trash paper" because notable others consider it to be a trash paper [healthfeedback.org].
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Okay. Here's one. (study [jamanetwork.com], table [jamanetwork.com])
Your study is very dodgy (Score:2)
Taking a look the person who wrote the study is a political scientist not an epidemiologist. So yeah this is just a political hit piece funded by pro business and right-wing think tanks. I'm extremely disappointed that John Hopkins allowed this to be published on their website. But I guess that's what peer review is for.
I'm assuming you w
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I'm extremely disappointed that John Hopkins allowed this to be published on their website.
They didn't "allow" it. It's posted on a faculty member's personal page. It's pretty common for faculty members to have their own page on the university's web site where they can post whatever they want.
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I'm extremely disappointed that John Hopkins allowed this to be published on their website.
They didn't "allow" it. It's posted on a faculty member's personal page. It's pretty common for faculty members to have their own page on the university's web site where they can post whatever they want.
Technically they did permit it by giving them a personal space...
And that is a good thing. As much as I despise such made up drivel dressed up as (very bad) research without a shred of evidence and a massive hole where the stuff they ignored should be, if they are allowed to post that it means that freedom of expression is alive and well. It also means we're free to criticize.
That last bit is very important, for science and freedom. The right to be criticized is something the FREEZE PEACH crowd tends
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So who is going to answer for catastrophic economic damage that ended up pointless?
No one, because all available history shows the economic damage would have been worth if we did nothing.
Sinij I used to think you were dumb, but this has been pointed out to you a few times now, now you're in the territory of wilfully ignorant moron.
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Bring it. I'll "second amendment solution" you so fast it'll make your perforated head spin.
Re: 1 million deaths or a tiny bit less (Score:2)
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