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Sometimes a picture is worth 100,000 names

Kangaroo Feathers

Yea, it is written in the Book of Cyril...
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9/11 kills 4000 Americans, Americans declare forever war on an abstract concept, spend trillions of dollars, invade 2 countries and destabilising an entire region, resulting in thousands of dead and injured American and allied service personnel, and > many tens of thousands of foreign nationals dead, dispossessed or permanently disabled. Trumps inaction and mismanagement kills 100,000 Americans, many of the same Americans who were ready to nuke the Middle East shrug and say "just a bad flu" and "it's better having people die than the stock market contracting".
 

Shadow Wolf

Certified People sTabber & Business Owner
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9/11 kills 4000 Americans, Americans declare forever war on an abstract concept, spend trillions of dollars, invade 2 countries and destabilising an entire region, resulting in thousands of dead and injured American and allied service personnel, and > many tens of thousands of foreign nationals dead, dispossessed or permanently disabled. Trumps inaction and mismanagement kills 100,000 Americans, many of the same Americans who were ready to nuke the Middle East shrug and say "just a bad flu" and "it's better having people die than the stock market contracting".
According to some, that number is artificially inflated to a very higj number because they are calling every death in the hospital covid related, and they've shut us down over a whole bunch of nothing.
 

Shadow Wolf

Certified People sTabber & Business Owner
But, its less votes for Trump. Its less votes for Republicans (who should be publicly shamed over neglecting the general welfare md safety for opposing mail in voting). I feel sorry for those trying to stay safe but still getting sick. Those who will die because they go to church tomorrow? Thats fewer people who get to vote to protect discrimination in the name of religious freedom.
Let them breath virus.
 

sun rise

The world is on fire
Premium Member
According to some, that number is artificially inflated to a very higj number because they are calling every death in the hospital covid related, and they've shut us down over a whole bunch of nothing.
It's the opposite. The number is way under because they're not listing the virus as a cause of death unless they've tested and they're not testing corpses for the most part. And a couple of Trump party states are playing games with the numbers to make it look like fewer are dying from the virus.
 

Shadow Wolf

Certified People sTabber & Business Owner
It's the opposite. The number is way under because they're not listing the virus as a cause of death unless they've tested and they're not testing corpses for the most part. And a couple of Trump party states are playing games with the numbers to make it look like fewer are dying from the virus.
Definitely. The way people are behaving, I suspect we're in for a very devastating round 2 and many places will see restrictions going back in place by the end of next month.
 

Mindmaster

Well-Known Member
Premium Member
9/11 kills 4000 Americans, Americans declare forever war on an abstract concept, spend trillions of dollars, invade 2 countries and destabilising an entire region, resulting in thousands of dead and injured American and allied service personnel, and > many tens of thousands of foreign nationals dead, dispossessed or permanently disabled. Trumps inaction and mismanagement kills 100,000 Americans, many of the same Americans who were ready to nuke the Middle East shrug and say "just a bad flu" and "it's better having people die than the stock market contracting".

I find it funny mostly because people are now coming out on Twitter and saying all these people on the list didn't die from Covid-19. Let's face it... Half of these deaths are under Cuomo's and De Blasio's watch... If anyone is to blame, it's them. Where is their cute little cartoon at the bottom of the names? :D These two chuckle-heads were jamming infected people into nursing homes while an empty hospital ship sat in the middle of the city.

You people are being fooled if you believe any of this.
 

epronovost

Well-Known Member
According to some, that number is artificially inflated to a very higj number because they are calling every death in the hospital covid related, and they've shut us down over a whole bunch of nothing.

Ironically, The deaths in March and April are probably underestimated by large margin due to the abscence or lack of testing.
 

Heyo

Veteran Member
According to some, that number is artificially inflated to a very higj number because they are calling every death in the hospital covid related, and they've shut us down over a whole bunch of nothing.
It's true that not everyone who died with Covid-19 died from Covid-19. So the numbers really aren't accurate.
It is also true that there is a large number of people who died and weren't even tested. Many of them could have died from Covid-19 ("excess mortality" see: What 'Excess Deaths' Do and Don't Tell Us About COVID-19).
 

Salvador

RF's Swedenborgian
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9/11 kills 4000 Americans, Americans declare forever war on an abstract concept, spend trillions of dollars, invade 2 countries and destabilising an entire region, resulting in thousands of dead and injured American and allied service personnel, and > many tens of thousands of foreign nationals dead, dispossessed or permanently disabled. Trumps inaction and mismanagement kills 100,000 Americans, many of the same Americans who were ready to nuke the Middle East shrug and say "just a bad flu" and "it's better having people die than the stock market contracting".

If you may please allow me to dare ask, "Why didn't the New York Times separately publish each of the names of the nearly 5,000 illness prone New York residents who died of exposure to SARS-CoV2 viruses in nursing homes having been C.O.V.I.D-19 infected by Corona virus patients whom Governor Andrew Cuomo ordered to be sent there.
 

Twilight Hue

Twilight, not bright nor dark, good nor bad.
If you may please allow me to dare ask, "Why didn't the New York Times separately publish each of the names of the nearly 5,000 illness prone New York residents who died of exposure to SARS-CoV2 viruses in nursing homes having been C.O.V.I.D-19 infected by Corona virus patients whom Governor Andrew Cuomo ordered to be sent there.
He never used the ventilators that he wanted either.

And you're correct, he intentionally concentrated them into nursing homes. Like the nazi gas chambers, concentrate them all together and then have the virus kill them all in one fell swoop.
 

shunyadragon

shunyadragon
Premium Member
According to some, that number is artificially inflated to a very hig number because they are calling every death in the hospital covid related, and they've shut us down over a whole bunch of nothing.

According to some>!?!?!?! What a joke. Maybe Donald Trump and his Cronies taking the phoney drug.

Actually it is the reverse, because of the lack of testing in the early many who died were not tested. In North Carolina there was a wave of infections and deaths in prisons early in the pandemic that were not tested. I have a friend that working on of these institutions and he became sick and was only tested later for antibodies. In New York the numbers more than doubled that were buried in Pauper cemetery that were not tested.

Actually there are different ways to estimate the fatalities due to COVID 19, which takes into the problem of possible inaccuracies. Comparisons with previous years, averages, and including estimates of deaths due to flus give a very good estimate of fatalities due to COVID 19.

The problem is in the total number of cases, because up to 80% of cases are asymptomatic and weakly infected. Thes people are dominant cause of the spread of the COVID 19. This results in an under estimate of the number of cases.

The extreme rise in fatalities in the USA and world wide two to three times the 2019 rate is a clear witness to impact of COVID 19 regardless of the weakness in testing.

Excess Deaths Associated with COVID-19

Excess Deaths Associated with COVID-19
Provisional Death Counts for Coronavirus Disease (COVID-19)

Estimates of excess deaths can provide information about the burden of mortality potentially related to COVID-19, beyond the number of deaths that are directly attributed to COVID-19. Excess deaths are typically defined as the difference between observed numbers of deaths and expected numbers. This visualization provides weekly data on excess deaths by jurisdiction of occurrence. Counts of deaths in more recent weeks are compared with historical trends to determine whether the number of deaths is significantly higher than expected. Counts of deaths from all causes are provided, including deaths due to COVID-19. As many deaths due to COVID-19 may be assigned to other causes of deaths (for example, if COVID-19 was not mentioned on the death certificate as a suspected cause of death), tracking all-cause mortality can provide information about whether an excess number of deaths is observed, even when COVID-19 mortality may be undercounted. Additionally, deaths from all causes excluding COVID-19 were also estimated. Comparing these two sets of estimates — excess deaths with and without COVID-19 – can provide insight about how many excess deaths are identified as due to COVID-19, and how many excess deaths are reported as due to other causes of death. These deaths could represent misclassified COVID-19 deaths, or potentially could be indirectly related to COVID-19 (e.g., deaths from other causes occurring in the context of health care shortages or overburdened health care systems).

Estimates of excess deaths can be calculated in a variety of ways, and will vary depending on the methodology and assumptions about how many deaths are expected to occur. Estimates of excess deaths presented in this webpage were calculated using Farrington surveillance algorithms (1). A range of values for the number of excess deaths was calculated as the difference between the observed count and one of two thresholds (either the average expected count or the upper bound of the 95% CI), by week and jurisdiction. Provisional counts are weighted to account for potential underreporting in the most recent weeks. However, data for the most recent week(s) are still likely to be incomplete. Additionally, weights are based on completeness of provisional data in prior years, but the timeliness of data may have changed in 2020 relative to prior years, so that weighted estimates may be too high in some jurisdictions and too low in others. As more information about the accuracy of the weighted estimates is obtained, further refinements may be made and changes to the weighting methods will impact the estimates. Any changes to the methods or weighting algorithm will be noted in the Technical Notes when they occur. More detail about the methods, weighting, data, and limitations can be found in the Technical Notes.

This visualization includes several different estimates:
    • Number of excess deaths: A range of values for the number of excess deaths was calculated as the difference between the observed count and one of two thresholds (either the average expected count or the upper bound of the 95% CI), by week and jurisdiction. Negative values, where the observed count fell below the threshold, were set to zero.
    • Percent excess: The percent excess was defined as the number of excess deaths divided by the threshold.
    • Total number of excess deaths: The total number of excess deaths in each jurisdiction was calculated by summing the excess deaths in each week, from February 1, 2020 to present. Similarly, the total number of excess deaths for the US overall was computed as a sum of jurisdiction-specific numbers of excess deaths (with negative values set to zero), and not directly estimated using the Farrington surveillance algorithms.
Estimates presented here will be updated periodically, and additional information by cause of death will be added in future releases.

Select a dashboard from the drop-down menu, then click on “Update Dashboard” to navigate through different graphics.


    • The first dashboard shows the weekly predicted counts of deaths from all causes, and the threshold for the expected number of deaths. Select a jurisdiction from the drop-down menu to show data for that jurisdiction.
    • The second dashboard shows the weekly predicted counts of deaths from all causes and the weekly count of deaths from all causes excluding COVID-19. Select a jurisdiction from the drop-down menu to show data for that jurisdiction.
    • The third dashboard shows the weekly counts of deaths from all causes. Predicted counts (weighted) are shown, along with reported (unweighted) counts, to illustrate the impact of underreporting. Select a jurisdiction from the drop-down menu to show data for that jurisdiction.
    • The fourth dashboard shows the total number of excess deaths since early February, 2020. Jurisdictions with one or more excess deaths are shown. Use the radio button to select all-cause mortality, or all-cause excluding COVID-19. Use the drop-down menu to select certain jurisdictions.
    • The fifth dashboard shows the percent by which the observed counts exceed the threshold (i.e. percent excess) by week and jurisdiction. Use the radio button to select all-cause mortality, or all-cause excluding COVID-19. Use the drop-down menu to select certain jurisdictions.
Several changes were made to this visualization, effective as of May 12, 2020. More detail can be found in the Technical Notes. Future refinements to the methodology or other changes will be documented in the Technical Notes.

COVID-19 deaths were identified using multiple cause of death codes, as opposed to underlying cause of death codes, consistent with how these deaths are reported in other releases.
    • Estimates for Puerto Rico are provided.
    • Methods to handle extreme weights were updated and demographic data from the death certificate were used to improve the weights to better account for underreporting.
    • A range of estimates of excess deaths is provided based on comparing the observed numbers of deaths to two different thresholds: 1) the average expected number of deaths, and 2) the upper bound of the 95% CI of the expected number of deaths.
    • Data are suppressed for weeks where the reported numbers of deaths are highly incomplete (less than 50% of the expected count).
    • Total counts of excess deaths are summed from February 1, 2020 through the most recent week of data.
 
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