"The scan of the following insurance companies confirms the initial report. For Prudential, they have had a massive 87% increase in death benefits paid comparing the third quarter of 2020 to the third quarter of 2021. Such a detailed breakdown wasn't available for New York Life, but their 2021 year to date (1 Jan to 30 Sep) death benefit payout is up by 27%. Examining Pacific Life documents identifies multiple units. For Pacific Life, the year-to-date claims are up by only 12%. But for a subsidiary, Pacific Life and Annuity, claims are up by over 80%. This is an opportunistic search; more data may be forthcoming."
This info is very dark, but think of all the preventive screenings that were skipped and elective surgeries postponed in 2020. Even before we get to any un*intendended consequences of the vaccines. Thank you Mark, for all your insight.
Can someone explain how the 911 number for September 2021 got computed? Is it the total noninstitutional population from Sept 2021 minus the total noninstitutional population from Sept 2020?
Those numbers represent the total of people entering the workforce age group:
"This number has run around 2 million on an annualized run-rate for a very long time. It is somewhat responsive to economic booms and busts with a 16-17 year lag; more people make children, but when they do it takes 16-17 years for them to show up in this figure. 16-17 years ago was literally the best of times; birth rates were rising as we came out of the Tech Wreck. Indeed in 2018 in December the annualized run rate was about 2.5 million. It was in December of 2019 too -- right in front of *****. And in December of 2020 it was back to more-or-less baseline at 2.1 million.
"So where did the 1.2 million people that should have been added to the workforce over the last year go?
"They didn't go anywhere. They were added.
"This means the real question is who got subtracted?"
But the numbers aren't the same. In particular, I didn't observe that stable "2 million annualized run-rate" described by KD. Maybe I'm not doing the right computation? I'd love to know what I did wrong.
I understand that. My question is, how is this number computed? Looking at the Employment Situation Report from September 2021, I can't find how that number was 911 then. I'm trying to double check the math.
Nashville's WTN news talk radio today mentioned a WSMV Nashville TV news story on 4.5 million Americans quitting their jobs in November. The story attributes this as a sign of new confidence that the job market is bouncing back. That's a real head scratcher for me - who quits there job right before the Thanksgiving and Christmas unless they get a better offer? How many of those who quit their job had to leave due to illness?
It's interesting, but there are some things left out. For most of his charts, data is only presented for months 1-5 for 2021--not even two full quarters. The CEO specifically states that he's talking about a "huge, huge" increase in Q3 and Q4. The one chart that shows "provisional" data for Q3 (none for Q4) shows very steep increases as compared to 2020.
When he breaks the numbers out for ODs, what we actually see is downward trends (from extremely high levels) in 4-5/21--which makes lack of Q3-4 data all the more important. His data does, however, make it clear Covid is not causing the excess mortality. It probably simply replaces annual deaths from other respiratory viruses (or is mixed in with them).
Finally, the monthly OD numbers presented don't seem to come close to accounting for the "huge, huge" increases. Moreover, the OD increases in 2020 were even "huge, huger" than in 2021. Surely the CEO would have been aware of that factor--as a possible factor to account for the "huge, huge" increase in 2021. Instead he finds it all inexplicable. Probably for the reasons I just gave.
I'd be curious to know if there is a gender disparity in this data--as in more men falling off the non-institutionalized counts than women. Particularly since the mRNA vaccines have more of an impact on young men's hearts than for women.
Right. There are a number of ways to look at numbers like this, but they are what they are--they're aggregate numbers and may not be totally broken down. Another question might be re disparities in death v. disability for age/gender etc. I'm sure there will be researchers looking at all that. Types of injurieis in the VAERS database--female v. male again. We know there are differences.
Add me to the confused list. I read the KD piece and I have no idea what he's talking about.
Here's a great tool for saving anything interesting you find online: https://mymind.com/
You can save it in with one click, and it has a built in search function, and is private and free.
https://www.americanthinker.com/blog/2022/01/more_preliminary_evidence_that_the_vaccines_have_led_to_a_spike_in_deaths.html
"The scan of the following insurance companies confirms the initial report. For Prudential, they have had a massive 87% increase in death benefits paid comparing the third quarter of 2020 to the third quarter of 2021. Such a detailed breakdown wasn't available for New York Life, but their 2021 year to date (1 Jan to 30 Sep) death benefit payout is up by 27%. Examining Pacific Life documents identifies multiple units. For Pacific Life, the year-to-date claims are up by only 12%. But for a subsidiary, Pacific Life and Annuity, claims are up by over 80%. This is an opportunistic search; more data may be forthcoming."
This info is very dark, but think of all the preventive screenings that were skipped and elective surgeries postponed in 2020. Even before we get to any un*intendended consequences of the vaccines. Thank you Mark, for all your insight.
Can someone explain how the 911 number for September 2021 got computed? Is it the total noninstitutional population from Sept 2021 minus the total noninstitutional population from Sept 2020?
Those numbers represent the total of people entering the workforce age group:
"This number has run around 2 million on an annualized run-rate for a very long time. It is somewhat responsive to economic booms and busts with a 16-17 year lag; more people make children, but when they do it takes 16-17 years for them to show up in this figure. 16-17 years ago was literally the best of times; birth rates were rising as we came out of the Tech Wreck. Indeed in 2018 in December the annualized run rate was about 2.5 million. It was in December of 2019 too -- right in front of *****. And in December of 2020 it was back to more-or-less baseline at 2.1 million.
"So where did the 1.2 million people that should have been added to the workforce over the last year go?
"They didn't go anywhere. They were added.
"This means the real question is who got subtracted?"
This is the closest I got: https://fred.stlouisfed.org/graph/?g=KvGC
But the numbers aren't the same. In particular, I didn't observe that stable "2 million annualized run-rate" described by KD. Maybe I'm not doing the right computation? I'd love to know what I did wrong.
I understand that. My question is, how is this number computed? Looking at the Employment Situation Report from September 2021, I can't find how that number was 911 then. I'm trying to double check the math.
Mark, can you help us understand these numbers, and how to calculate? Thx.
Nashville's WTN news talk radio today mentioned a WSMV Nashville TV news story on 4.5 million Americans quitting their jobs in November. The story attributes this as a sign of new confidence that the job market is bouncing back. That's a real head scratcher for me - who quits there job right before the Thanksgiving and Christmas unless they get a better offer? How many of those who quit their job had to leave due to illness?
Yeah--I'm somewhat cautious by nature. I can't imagine walking away from a paycheck like that.
Here is another actuary's take on the life insurance CEO's numbers on working age deaths. Again, I am not claiming this is true or pushing some narrative, just putting it up http://stump.marypat.org/article/1581/excess-mortality-for-working-age-adults-way-up-in-third-quarter-of-2021-driven-by-covid-and-drug-overdoses
It's interesting, but there are some things left out. For most of his charts, data is only presented for months 1-5 for 2021--not even two full quarters. The CEO specifically states that he's talking about a "huge, huge" increase in Q3 and Q4. The one chart that shows "provisional" data for Q3 (none for Q4) shows very steep increases as compared to 2020.
When he breaks the numbers out for ODs, what we actually see is downward trends (from extremely high levels) in 4-5/21--which makes lack of Q3-4 data all the more important. His data does, however, make it clear Covid is not causing the excess mortality. It probably simply replaces annual deaths from other respiratory viruses (or is mixed in with them).
Finally, the monthly OD numbers presented don't seem to come close to accounting for the "huge, huge" increases. Moreover, the OD increases in 2020 were even "huge, huger" than in 2021. Surely the CEO would have been aware of that factor--as a possible factor to account for the "huge, huge" increase in 2021. Instead he finds it all inexplicable. Probably for the reasons I just gave.
I'd be curious to know if there is a gender disparity in this data--as in more men falling off the non-institutionalized counts than women. Particularly since the mRNA vaccines have more of an impact on young men's hearts than for women.
Right. There are a number of ways to look at numbers like this, but they are what they are--they're aggregate numbers and may not be totally broken down. Another question might be re disparities in death v. disability for age/gender etc. I'm sure there will be researchers looking at all that. Types of injurieis in the VAERS database--female v. male again. We know there are differences.