NYT casually drops a truth bomb: about 30% of "COVID deaths" weren't from COVID

Lots of health statistics can be deceiving, especially when comparing countries to countries and even region to region.

It can be intensely frustrating when non-comparable stats are used to make a point, usually a political point.

The most obvious case is comparing infant mortality statistics between countries; the US often looks bad in these comparisons, but that is mostly due to the fact that we actually count the mortality of infants, while other countries bury the data by excluding a lot of deaths from their statistics. A number of countries classify early deaths of infants who were live births as being stillborn, for instance. In the US we count any baby born alive who subsequently dies in our infant mortality statistics.

Another case is COVID stats, where the US ranks pretty poorly, as with infant mortality. Despite years of being told that the US government has been rigorous in properly counting COVID deaths, everybody who has a working brain should have figured out by now that the US has grossly overcounted deaths from the virus.

There are lots of reasons for that. There was an actual financial incentive to do so, with the government paying larger sums to healthcare providers for COVID patients, and paying the death expenses of those who died from COVID.

And, of course, the Establishment wanted everybody panicked and compliant, and no better way to do that than claim every motorcycle accident victim a COVID death.

Time and again cases like this have been declared anomalies, and claims that the government is overcounting COVID deaths have been "debunked."

But as with their admission that the Hunter Biden laptop was real years after it was proven to be so, the New York Times buried their admission that the numbers were cooked deep in the bowels of a story.

Years after the revelation would have had a political impact, and only as an aside, the Times confirmed what those of us who have been slandered as conspiracy theorists were saying.

Covid's toll, to be clear, has not fallen to zero. The C.D.C.'s main Covid webpage estimates that about 80 people per day have been dying from the virus in recent weeks, which is equal to about 1 percent of overall daily deaths.

The official number is probably an exaggeration because it includes some people who had virus when they died even though it was not the underlying cause of death. Other C.D.C. data suggests that almost one-third of official recent Covid deaths have fallen into this category. A study published in the journal Clinical Infectious Diseases came to similar conclusions.

A very large fraction of the people classified as dying from COVID died WITH COVID, not from it. If you factor that in and the numbers change dramatically, and the US would not look so bad in international rankings.

This doesn't amount to an admission they lied but rather is simply covering their own asses after it no longer matters. They got what they wanted: the panic, the election results they liked, the smearing of Republicans, the wholesale changes in how social media companies regulate speech, and the suppression of dissent from their power grab.

This is in the "now they tell us" category that Anthony Fauci entered just after his retirement when he published an article in Cell basically admitting that vaccines against respiratory diseases don't really work as advertised.

Thanks for nothing. I wish I could throw you in jail for lying to us for years.

When looking at any set of statistics the very first question should be: are we comparing apples to apples? In many cases, the answer will be absolutely not. This is particularly true in international comparisons or comparisons between dissimilar populations. For instance, 7 million illegal immigrants from impoverished countries have flooded the country. Their rates of disease will be far worse than the general population, but they will now be included in the overall statistics.

Comparing this population to Japan is likely to yield rather distorted numbers. "Look! American health care sucks!"

You can make statistics say anything you like. That doesn't make them totally useless, but you have to know how to read them. And that is often hard because the nature of the underlying data may be hidden or distorted.

Just remember: everything is politicized, and read it through that lens. If something seems off, it probably is.

Reader Comments

Gator · 2023-07-19T18:38:52Z

Edward Dowd says a Black Swan event has occurred.

[Link]

KrynnCAW · 2023-07-19T19:05:50Z

Gator Thanks Gator -

ReRan · 2023-07-19T22:50:29Z

Gator Thanks for that!

azigzagidiot · 2023-07-20T00:58:52Z

Gator Hematological claims up 522%? Insurance claims? it sounds like they're just billing for blood work a lot more.

Draw for a complete blood count, basic or complete metabolic panel, glucose level and various enzyme/chem. levels on every patient that goes through the hospital in the U.S.. If they're in-patients they can get draws ordered 3x a day, 3xCBCs a day.. all billed as "hematological claims"?

I can't read Twitter for free anymore so I'm searching on it. If it was distinct hematological disease, like leukemia or lymphoma incidence (i.e. disease rate increase 522%) that would certainly be big news. I dunno where he gets this 522% from but it looks like insurance, and he says it's from a survey but also says claims made and paid.. insurance...

Joan · 2023-07-20T00:43:40Z

For more background and information on this video clip. This presentation by Edward Dowd. It is about an hour long with relevant links below the presentation.

[Link] Ed Dowd: ‘They Can't Run From This Data’

azigzagidiot ·

Joan 👍

· 2023-07-20T01:02:51Z

azigzagidiot · 2023-07-20T01:24:33Z

Joan U.K. Personal Independence Payment (PIP): PIP is a welfare type benefit for disabled persons in the U.K. between 16yrs and retirement age: wiki (PIP) [Link]
This has got to be a minority of persons in the U.K. approved for this benefit system:

Eligibility[edit]To qualify for PIP, applicants must be between 16 and State Pension age and living in the UK and also:

-have had difficulties with daily living or getting around (or both) for at least 3 months

-expect these difficulties to continue for at least 9 months (unless you're terminally ill with less than 6 months to live)

It's like disability or unemployment..

So, as far as this Blackrock portfolio manager getting lost in the weeds on the number of standard deviations that "hematological" insurance claims increased on the PIP system? It's a nothingburger.. it's billing for blood work that physicians probably starting encouraging people get done and bill to this U.K. medicaid type system..

Dowd apparently has been on the issue of sudden deaths and the issues with the jabs, but IMO he's really lost context on how broad the scope of PIP would be, and what can be inferred from "hematological" insurance claims.. I highly doubt it's actual hematological diseases here, and the scope of PIP has got to be small...

Joan · 2023-07-20T01:32:29Z

azigzagidiot But have you, considered in your thought process, that these are the UK governments statics. And may not be in reality accurate?

azigzagidiot · 2023-07-20T02:00:11Z

Joan They do keep accounting books, so they track these payments made. These increasing trends appear to be a function of more claims paid out--and by the timing coincides with a likely increased enrollment in PIP due to the onset of the pandemic and increased unemployment and disability.

I'm 30' (minutes) in to that CHD discussion, but I also have issue with his graph of two things on the Y-axis: on the left vertical-axis the cleared PIP payments, on the right vertical-axis the number of vaccinations.. with the X-axis the course of time. Not sure how that's an actual graph. But, from the spreadsheet tables' numbers it seems clear there's been increased payments cleared through PIP for any category of medical billing chosen.

I think in reality there is a lot of disability and harm done, so it's legitimate to try and bang the drum on it, but may be a little misguided here on the PIP numbers showing a "Black swan event", because there's "a 522% increase" in insurane claims paid, a "6-standard deviations" unlikelihood. I'll try and read the Twitter thread to see if it gets hashed out there.

Joan · 2023-07-20T05:22:52Z

From Joan

But have you, considered in your thought process, that these are the UK governments statics. And may not be in reality accurate?

I think in reality there is a lot of disability and harm done, so it's legitimate to try and bang the drum on it, but may be a little misguided here on the PIP numbers showing a "Black swan event", because there's "a 522% increase" in insurane claims paid, a "6-standard deviations" unlikelihood. I'll try and read the Twitter thread to see if it gets hashed out there.

So twitter, is the place to hash out statistical analysis? What reality are you living in?

slbeaudry · 2023-07-20T15:42:22Z

So they now admit that 30% was with covid and not from and if we add on the % of false positives plus the "presumptive" cases which could have been the flu or who knows what else, then we are left with what, exactly? The ~~vaccine~~ [jab] was always the real threat. Wonder when they'll confess to that one... 🤔