Sunday, February 26, 2023

Medicare data shows the COVID vaccines increase your chance of dying

 

  • This may well be the most important article I’ll write in 2023. In this article, I publicly reveal record-level vax-death data from the “gold standard” Medicare database that proves that:The vaccines are making it more likely that the elderly will die prematurely, not less likelyThe risk of death remains elevated for an unknown period of time after you get the shot (we didn’t see it return to normal)The CDC lied to the American people about the safety of these vaccines. They had access to this data the entire time and kept it hidden and said nothing. If there is one article for you to share with your social network, this is the one.

  • Executive summary

    Isn’t it a shame that none of the world’s governments make the vaccination-death records publicly available? This is the data that nobody wants to talk or even ask about. I was able to authenticate the data by matching it with records I already had. The nice thing about this Medicare data is that nobody can claim that it is “unreliable.” Medicare is the unassailable “gold-standard” database. And that’s in the very population it is supposed to help the most!Now you know why the CDC, which has always had access to the Medicare records, has never made them publicly available for anyone to analyze to prove that the vaccines are safe. So you already know how this is going to end.

  • Acknowledgements

    I had Clare Craig of the HART Group look this over for any flaws. Professor Norman Fenton had a look as well and he didn’t find anything amiss either. This doesn’t mean there aren’t any flaws, but it just means that there aren’t any obvious flaws. If you find a mistake, let me know in the comments.

  • Why this article is so important

    If nobody can explain how the “slope goes the wrong way,” then this should be GAME OVER for the vaccination program because we are using their own “gold standard” database to prove that the vaccines are not safe and that they lied to us. Unless I made a serious error, there is no rock big enough for them to hide under on this one. The results simply cannot be explained if the vaccines are safe. You don’t need a peer reviewed study on this one.

  • The Medicare data that I received

    It’s in Excel, there are over 114,000 records, and you can download it here. While I would have liked to receive the merge of all death records and vaccination records of everyone in the US, the data I did receive, when properly analyzed, is sufficient to prove the point that the vaccines are increasing your risk of death. LIMITATIONSBe sure to read the About tab for caveats about the data. It will help if you read and understand this article before you look at the records. The plots from the records I received are included in the Excel spreadsheet and are consistent with the plots in this article which are the higher quality plots (and which contain dose 2 and 3 plots).

  • Overview of how to analyze the Medicare records

    Because we only have vax-death records of people who have died (rather than the full set of records that any truly honest government would supply), we have to analyze the data in a certain way to understand what is going on. Days to death from Dec 15, 2020 in Medicare in Connecticut. Then it will flatline for a time until seasonality picks up again in winter or there is another big COVID outbreak. The drop could be as much as 40% from the peak value (e.g., from 536 to 324) in Figure 0.If the vaccine is PERFECT, we’ll see the same slope go down, but not as much because we’ll just see seasonality effects going down (since nobody is dying from COVID). So that histogram should look very similar to Figure 1. Once you understand these concepts, you are ready for the details.

  • For people in Medicare, there is a strong seasonality effect on the death rate

    For the elderly, there is a strong seasonality of deaths. They are high in the winter and low in the summer. This data is from the CDC for ages 65-84:Figure 1. This was created using a visualization on the CDC website using this dataset. The peak is 256K, the trough is 213, so there is a 17% seasonality drop in deaths from the peak.

  • The control group for 2021

    Figure 2 shows the deaths by week in 2021 for all states ages 65-84. Note that the rates drop for the first 11 weeks and stabilize. This was created using a visualization on the CDC website using this dataset. Epidemiologists are very familiar with this effect. Each bar is a weekThis means that if we limit our “days from shot #1 to death” analysis to people who got their first vaccine in Q1 of 2021, if the shot is harmless, we should see the rate of deaths dropping for at least 9 weeks after the shot, and then remaining flat for the next 15 weeks before turning upward.

  • The charts show the slope goes up instead of down

    As we noted in the previous section, if the first shot is given in Q1, the number of days after the shot until you die should go down for at least 9 weeks and then stabilize for the next 15 weeks per the seasonality described in the previous section. What is supposed to happen is the line is supposed to slope DOWNWARD due to seasonality. Note that the increase in risk is still present after 2 years from the initial value at day 50, but at least it’s not getting any worse over time. The slope should be flat for around the first 15 weeks after the shot is given (we are starting in a flat period (week 13) and we have about 15 weeks of flat deaths after that. Not that the peak shifts since seasonality does not move. The drop off is now starting at 570 since we are now giving the shot a quarter later.

  • The same wrong slope happens with shot #2

    The same problem happens with the second shot. About 75% of the people in Medicare were injected with shot #2 prior to April 15, 2021.Here’s what the shot #2 injection schedule looked like in Connecticut:Figure 6. This is from Medicare data from Connecticut. Therefore, we should have seen a downward slope in the beginning and we are seeing the opposite again. The slope goes the wrong way for shot #2 too.

  • The same wrong slope happens with shot #3 too

    Most people in Medicare got shot #3 in October, 2021. This chart would have been more useful had the Dose 3 vax window been narrowly restricted. Stay tuned…Shot #3 delivered in 2021. Most people in Medicare got their booster in October 2021, so we’d expect the slope to go down after 60 days. The slop remains flat which is problematic.

  • Could there be an error in the queries?

    I replicated the shot #1 charts myself and you can see them yourself in the Excel charts (which are drawn from the record-level data).

  • Is there any other way to explain away these results?

    I’d like to see someone try though. Of course, you could interpret the upward slope as “See, the vaccine is saving COVID lives in the short term, that’s why the slope goes up over time as it wears off” but that is simply preposterous. Nobody has ever claimed the vaccine reduces all cause mortality below baseline. But these are all Medicare patients and they were all vaccinated ASAP come December. What Jeffrey can’t explain is why the slope is even more distinct for people who got their shots in March 2021. So they will have to ignore it and hope that nobody reads my article.

  • Additional confirmation the vaccines are deadly

    See my newly updated article on the UK data, which now includes US Mortality’s latest analysis:Basically, even the flawed UK data still has a huge signal they couldn’t hide: there is a bigger killer than COVID and NOBODY can figure out what it is! Furthermore, Ed Dowd’s data, beautifully presented in his book “Cause Unknown,” is also hard for anyone to refute. How can there possibly be over 16,000 reported in VAERS if nothing is going on? The only vaccine with excess deaths is the COVID vaccine. For example, the flu vaccine was given to at least 33% of the Medicare recipients so maybe you can argue a factor of 3X at most. Mark used polling and found a large number of deaths in 2021.

  • If the CDC wants to prove I’m wrong, it’s easy: release the data!

    We need to stop holding the data hostage. If the CDC wants to prove I’m wrong, the best way to do that is to publicly release all the data as specified in this article. They will come up with excuse after excuse why they can’t do this. And that tells you EVERYTHING you need to know.

  • The record-level vax-death Medicare data I received is now publicly available. It shows the vaccines increase the risk of death for the elderly and that these risks appear to remain persistently elevated. It’s anyone’s guess for how long. Basically, the health authorities in the US run the other way when you try to confront them with data showing they are wrong. And let us all know what they say in the comments.


https://stevekirsch.substack.com/p/game-over-medicare-data-shows-the?utm_source=post-email-title&publication_id=548354&post_id=104943824&isFreemail=true&utm_medium=email

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