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OneAmerica Life Insurance data confirms Covid-19 Vaccinated 18 to 64-year-olds are 50% more likely to die than Unvaccinated people

There are several sources for Covid-19 and overall mortality data. There is the government. There are the funeral directors. There are the churches and there are the life insurance companies. Out of all of these sources the most professional and the most accurate should be the life insurance companies because life and death are their entire business model and if they get those figures wrong they lose money. 

By a concerned reader

Therefore I read with great interest that Scott Davidson, the CEO of the 100 Billion dollar US life Insurance company OneAmerica is amazed at the ‘huge, huge, huge’ rise in the mortality rate for 18 to 64 year olds in the US in the last 6 months. 

The Center Square carried the story, which is restricted the UK perhaps to prevent us from drawing the conclusion that vaccines are lethal. But an American friend of mine sent me a copy of the Centre Square article directly. Here it is…

(The Center Square) – The head of Indianapolis-based insurance company OneAmerica said the death rate is up a stunning 40% from pre-pandemic levels among working-age people.

“We are seeing, right now, the highest death rates we have seen in the history of this business – not just at OneAmerica,” the company’s CEO Scott Davison said during an online news conference this week. “The data is consistent across every player in that business.”

OneAmerica is a $100 billion insurance company that has had its headquarters in Indianapolis since 1877. The company has approximately 2,400 employees and sells life insurance, including group life insurance to employers in the state.

Davison said the increase in deaths represents “huge, huge numbers,” and that’s it’s not elderly people who are dying, but “primarily working-age people 18 to 64” who are the employees of companies that have group life insurance plans through OneAmerica.

“And what we saw just in third quarter, we’re seeing it continue into fourth quarter, is that death rates are up 40% over what they were pre-pandemic,” he said.

“Just to give you an idea of how bad that is, a three-sigma or a one-in-200-year catastrophe would be 10% increase over pre-pandemic,” he said. “So 40% is just unheard of.”

Davison was one of several business leaders who spoke during the virtual news conference on Dec. 30 that was organized by the Indiana Chamber of Commerce.

Most of the claims for deaths being filed are not classified as COVID-19 deaths, Davison said.

“What the data is showing to us is that the deaths that are being reported as COVID deaths greatly understate the actual death losses among working-age people from the pandemic. It may not all be COVID on their death certificate, but deaths are up just huge, huge numbers.”

He said at the same time, the company is seeing an “uptick” in disability claims, saying at first it was short-term disability claims, and now the increase is in long-term disability claims.

“For OneAmerica, we expect the costs of this are going to be well over $100 million, and this is our smallest business. So it’s having a huge impact on that,” he said.

He said the costs will be passed on to employers purchasing group life insurance policies, who will have to pay higher premiums.

The CDC weekly death counts, which reflect the information on death certificates and so have a lag of up to eight weeks or longer, show that for the week ending Nov. 6, there were far fewer deaths from COVID-19 in Indiana compared to a year ago – 195 verses 336 – but more deaths from other causes – 1,350 versus 1,319.

These deaths were for people of all ages, however, while the information referenced by Davison was for working-age people who are employees of businesses with group life insurance policies.

At the same news conference where Davison spoke, Brian Tabor, the president of the Indiana Hospital Association, said that hospitals across the state are being flooded with patients “with many different conditions,” saying “unfortunately, the average Hoosiers’ health has declined during the pandemic.”

In a follow-up call, he said he did not have a breakdown showing why so many people in the state are being hospitalized – for what conditions or ailments. But he said the extraordinarily high death rate quoted by Davison matched what hospitals in the state are seeing.

“What it confirmed for me is it bore out what we’re seeing on the front end,…” he said.

The number of hospitalizations in the state is now higher than before the COVID-19 vaccine was introduced a year ago, and in fact is higher than it’s been in the past five years, Dr. Lindsay Weaver, Indiana’s chief medical officer, said at a news conference with Gov. Eric Holcomb on Wednesday.

Just 8.9% of ICU beds are available at hospitals in the state, a low for the year, and lower than at any time during the pandemic. But the majority of ICU beds are not taken up by COVID-19 patients – just 37% are, while 54% of the ICU beds are being occupied by people with other illnesses or conditions.

The state’s online dashboard shows that the moving average of daily deaths from COVID-19 is less than half of what it was a year ago. At the pandemic’s peak a year ago, 125 people died on one day – on Dec. 29, 2020. In the last three months, the highest number of deaths in one day was 58, on Dec. 13. – (The Center Square – no link, the article is restricted to the US)


So at last we have found a source of accurate mortality figures which is not politically motivated and is independent of government and main stream media manipulation. If life insurance actuaries get their figures wrong, their company loses money. So these guys should have their figures right! So the truth must be that all cause mortality in 18-64 year olds has gone up by 40% in the last two quarters from July to December 2021.

Now lets have a look at what the wonderful CDC Wonder database tells us. This database is very well presented and very accessible. You can make a request and download the results here

The US CDC wonder database shows that 702,757 Americans died aged 18-64 in 2019. And of those 351,102 died in the last 6 months. So the deaths were evenly split between the first 2 quarters and the last 2 quarters at 351k per half year.

The total deaths for 2019 were 2,854,838 from a US population of 328,239,523

So an increase of 40% in deaths amongst 18-64 year olds in the last 2 quarters would have meant 140,441 more deaths, making a total of 491,543 deaths.

The CDC Wonder database gives total deaths for 18-64 year olds from July to December, 2021 as follows…

The CDC figures for the whole year are –

The CDC is saying that more 18-64 years olds died in the first half of 2021 than in the last half, the precise opposite of what OneAmerica is saying.
The CDC is saying that mortality in 18-64 year olds in the last 2 quarters of 2021 has risen by 21.5% (426,507/351,102) not 40%, the figure seen by OneAmerica.
And the CDC is saying that the rise of 75,405 deaths over the 2019 figure (426,507 – 351,102), is less than the number of Covid-19 deaths at 81,258, which means that there is less than zero room for vaccine side effect deaths. Yes folks, the vaccines killed absolutely nobody at all. Not even 1 person. Because all the excess deaths and more than those too, were caused by Covid-19 according to the CDC.

Whereas OneAmerica figures show that the majority of the 40% excess deaths were did NOT have Covid-19 on the death certificate.

So it is easy to see what has happened here. Politicians at the CDC have halved the excess mortality and attributed it all to Covid-19 in order to hide the vaccine side effect deaths. The CDC figures could not be clearer. The say categorically that the vaccines kill nobody. The are fully politicised figures. They are figures from politicians not from scientists. And OneAmerica has caught them out cold.

In the UK, the situation is clearer still, thanks to the brilliant journalism of Fraser Nelson the editor of the Spectator. In a twitter conversation with Prof Graham Medley, from the London School of Hygiene and Tropical Medicine, who chairs the SAGE Modelling Committee, Fraser managed to get him to admit that SAGE deliberately publishes the most gloomy scenarios and ignores less alarmist ones, despite the fact that the less alarmist ones have always proven to be more accurate. He then gets Prof Medley to explain why: He admits that he models what will be useful to his paymasters. He models what he is instructed to model. So as Fraser Nelson himself puts it, the government is acting “not on evidence-based policymaking, but policy-based evidence-making.” Here is the revealing conversation they had…

You can read Fraser Nelson’s account of his conversation in the Spectator here.

So there you have it. SAGE is exposed as a PR department for the government and nothing more. Yes it is mathematically possible that we will all catch Covid-19 tomorrow. The chances of that event occurring are less than 1 in a quadrillion. But it is mathematically possible. So if the government instructed SAGE to model that scenario in order to justify a certain political action, SAGE would go ahead and do it and fail to disclose that the chances of that scenario actually occurring are infinitesimally small. In the meantime they would not model the most likely outcome – which is that infections have reached their peak and that hardly anybody would die of covid-19 at all if doctors were allowed to treat the disease as they see fit rather than having treatment protocols dictated to them by government departments which are every bit corrupt as SAGE has publicly admitted that it is.

Make no mistake. the CDC, the UKHSA, the ONS, PHS in Scotland, the RKI in Germany and indeed all Western Government departments involved in this pandemic will be suffering from SAGE scenario syndrome, where they present not the truth, but the government narrative in figures. If they do not do that in the UK they have: The Office of Statistical Regulation to answer to. That is why absolutely nobody who has consented to take the gene corrupting vaccines has ever given an informed consent. Every consent has been as misinformed as the government scientists, the main stream media, the medical profession and government regulators have made it. 

Before the vaccines were introduced we know that overall mortality did not rise due to Covid-19. In fact, before vaccination, the average age of a covid-19 death in the UK was 83 in circumstances where the average life expectancy in the UK was 82. Boris himself commented on this. 

“I must say I have been rocked by some of the data on Covid fatalities. The median age is 82-81 for men and 85 for women. That is above life expectancy. So get Covid and life longer” –  message to Dominic Cummings on 2020October15.

That was just before the vaccines. But now, a year after vaccination began, mortality hast has risen by 40% for 18-64 year olds and the majority of those do not have Covid-19 on their death certificates. So it is apparent that the vast majority of these excess deaths are due to vaccination since such deaths did not exist prior to vaccination which begin in December 2020. 

But not all 18-64 year olds have been vaccinated in the US. The figures at the end of September 2021 (in the middle of the last 2 quarters – from the CDC Wonder database) were… 

So 62.8% of the people are causing a 40% mortality rise. So those 62.8% must be suffering a 64% mortality rise in order to bring the overall figure up to 40%.

So OneAmerica figures show that doubly vaccinated people between 18-64 are let us say conservatively 50% more likely do die from all cause mortality than unvaxxed in circumstances where a 10% increase in all cause mortality for that age range is a three sigma (3 standard deviation) one in 200 year event.

“So if you are between 18 and 64 and would like a totally unprecedented 50% greater chance of dying according to life insurance actuarial figures for the last 2 quarters of 2021, then get vaccinated twice – and buy a lot of life insurance”

The black death has nothing on these jabs!

Addendum on the RKI ‘correction’

The expose showed that Omicron is 8.1x more likely to infect vaccinated Germans than unvaxxed Germans using German Government data from the Robert Koch Institut

In the RKI report there were 186 unvaxxed and 4020 vaxxed who were infected with Omicron.

These data as originally published would have finished genetic vaccination are a means of controlling Omicron. The Expose article was starting to go viral and was translated into German and sent to politicians. The response was swift. The following alteration was made to the report.

How strange that the unvaxxed figure was wrong but the vaxxed figure was completely correct?.

What German mistakes 1097 for 186 knowing the consequences of such an error? But gets the other figures 100% correct. Someone needs to do a Freedom of Information Request on this. Of all the figures in the entire report, only the unvaxxed figure was incorrect?

So is it a correction or is it a corruption? Were the first figures correct or are the second figures correct? Given the comments by Prof Medley and given the totally corrupt CDC Wonder data, and given the dressing down that the Office of Statistical Regulation gave to the UKHSA when their figures proved conclusively that vaccines cause a from of VAIDS, the writer suspects the latter.

There is NO EXPLANATION given as to how this mistake occurred, why it occurred, how it was discovered, or why it was corrected so quickly. Who found the extra 911 unvaxxed people? Was it the German emergency services? Was it a statistician or was it a politician with a sense of humour given the medical emergency we created for the vaccine pushers! Government statistics outfits do not do things quickly without an enormous amount of pressure from above.

If the Expose had not published the article would the alteration have ever occurred? Poll reveals how many Germans trust official Covid data – https://www.rt.com/news/545067-over-half-germans-distrust-covid-data/

More than half of Germans no longer trust official Covid-19 statistics issued by the country’s disease control and prevention authority, the Robert Koch Institute, a new poll has found. A whopping 57% of those surveyed said they didn’t trust the data, while 32% still deem government figures on the spread of Covid credible, according to a poll commissioned by the newspaper Bild. The widespread skepticism is perhaps not all that surprising, given that Germany’s health minister, Karl Lauterbach, himself admitted last week that the dynamics of the Omicron spread were “not being depicted accurately in the official figures because of false negatives by testing as well as delays in reporting new cases.”Conclusion

So here is the dilemma for all readers to consider: Was the 185 correct or is the 1097 correct?

Which number should we believe?

Does the German government wish to inform its nationals with the truth or does it wish to coerce them by any means into vaccination?

Since the answer to the latter question is that they wish to coerce vaccination by any means and since the second number is coercive to vaccination, the first number is correct.

This question gets to the heart of what this pandemic response is all about. Do you trust your government to tell you the truth for the benefit of your health if it means they lose their pandemic power?

If you trust politicians to put health over power then the figure you believe is 1097, 911 more than 186
If you understand that politicians are the kind of people who put power before health then you believe 186.


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Sarah
Sarah
19 days ago

In the UK, a link to the original OneAmerica CEO’s comments are here:
https://insurance-forums.com/life-insurance/oneamerica-ceo-says-death-rates-among-working-age-people-up-40/

Lords Witnesses
Lords Witnesses
Reply to  Sarah
19 days ago

Thanks that is very useful as Davidson says: “The data is consistent across every player in that business.

Anna Wilks
Anna Wilks
Reply to  Lords Witnesses
19 days ago

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Last edited 19 days ago by Anna Wilks
Hank George
Hank George
Reply to  Lords Witnesses
18 days ago

Except it isn’t. I’m currently investigating 3rd/4th quarter life ins death claims and while most companies have little data this early, the responses I have do not support this statement. Unless he provides data, this statement is both premature and likely untrue.

Lords Witnesses
Lords Witnesses
Reply to  Hank George
18 days ago

What responses do you have?

Hank George
Hank George
Reply to  Lords Witnesses
17 days ago

Mixed bag. Most don’t have hard data as that takes a while to get sorted. Several confirm excess non-COVID deaths but not numbers as large of OneAmerica. Several say definitely not but some of these are off the cuff and not worth much. I will be following up with all thes companies.

interesting that some speculated as to why this is happening and not one mentions what we suspect! Maybe they’re afraid. I’ll be digging into this as well.

Remember: OneAmerica data was from GROUP life insurance, not individual insurance. Mortality is always higher on group business because less underwriting is done and therefore more high risk individuals including those with serious diseases present are covered.

The premise of notable excess 3rd and 4th quarter deaths will be much more impressive if it also occurred in this line of business.

LisaMcCaffrey
LisaMcCaffrey
19 days ago

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Last edited 19 days ago by LisaMcCaffrey
mickey mouse
mickey mouse
Reply to  LisaMcCaffrey
19 days ago

LisaMcCaffrey – probably more trustworthy.

DorothyWeldy
DorothyWeldy
Reply to  mickey mouse
19 days ago

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SarahChambers
18 days ago

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18 days ago

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Last edited 18 days ago by CrystalHolmes
trackback
18 days ago

[…] OneAmerica Life Insurance data confirms Covid-19 Vaccinated 18 to 64-year-olds are 50% more likely to die than Unvaccinated people .https://dailyexpose.uk/2022/01/09/life-insurance-data-proves-vaccinated-more-likely-to-die/ […]

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Work At Home
Work At Home
18 days ago

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Last edited 18 days ago by Work At Home
M_Laurie
M_Laurie
18 days ago

the catastrophe is just Ludicrous now.

if 10pct was 3 sigma, then 40pct is 12 sigma… (10^31)
but it’s really 64pct… 19 sigma and change. (10^78)

I need to switch to laplace distribution as my calculator ran out of zeros on Gaussean e raised to the n squared. (Fat Tail event analysis)

12 sigma is 1 in 2,000,000 year event. (Laplace)
add another 3.5 zeros for 19 sigma… 6,000,000,000 (earth isn’t that old).

KathyJohnson
KathyJohnson
Reply to  M_Laurie
17 days ago

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Hank George
Hank George
18 days ago

This blog is poorly managed. Why aren’t all those garbage posts about making money home not deleted?

Last edited 18 days ago by Hank George
formerslave
formerslave
Reply to  Hank George
17 days ago

I agree

Ciellle
Ciellle
Reply to  Hank George
17 days ago

From the banners on this site it is clear they run purely on voluntary donations. Likely there is no one extra to monitor the blog. The fault lies who abuse blogs for selfish purposes. THANK YOU DAILY EXPOSE FOR ALL YOU DO to produce and share these findings! It is greatly appreciated!

Hank George
Hank George
Reply to  Ciellle
17 days ago

Very sad, Why set up a blog and then leave it unmonitored? Makes no sense to me.

Paul
Paul
Reply to  Hank George
2 days ago

Maybe do what some of us have been doing and down vote them in the hope that they’ll get the message they’re not appreciated.

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Last edited 17 days ago by Kayleigh Farrell
Terence Brannigan
Terence Brannigan
17 days ago

Do you mean 2020 data and NOT 2019 data as the article states? Do you want to compare 2021 deaths to 2020 in H2?

trackback
2 days ago

[…] off chart might be a little too optimistic!. Whereas the ‘corrected’ RKI figure, where they found another 911 unvaxxed Omicron cases they had previously lost, of -27.4% (1-1.377)/1.377 = -27.4% is simply impossible. Omicron is more […]