Covid Data

Chart of the Day: Covid Data Review (2019 to 2021) – Vaccines Working?

Deaths among people aged 18 to 49 increased more than 40 percent in the 12 months ending October 2021 compared to the same period in 2018–2019 in the US, before the COVID-19 pandemic, according to an analysis of death certificate data from the Centers for Disease Control and Prevention (CDC) by The Epoch Times. See a chart from Epoch Times and learn more here and here (not behind a paywall).

The agency doesn’t yet have full 2021 numbers, as death certificate data trickles in with a lag of one to eight weeks or more. The increase was notable across the country and in no state was COVID reported in more than 60 percent of the excess deaths. Some states experienced much steeper hikes than others.

The Epoch Times data is interesting, but it would be better to see the US pre-Covid (2019) data juxtaposed to the Covid years (2020 and 2021). When doing this analysis, one can see that total deaths rose in 2020 when the Covid “pandemic” started. Interestingly, the Covid deaths are mostly the same from 2020 to 2021 (slight increase in Covid deaths and a slight decrease in total deaths). See this in the chart below (see source data here and here).

Deaths and Covid Death Rates Jan 2022The vaccination rates in the US started in April of 2021 and have risen to where they are now at over 62%. See this in the chart below and see source data here.

Vacination Rates Jan 2022Given that Covid deaths are mostly the same from 2020 to 2021 and the US is vaxxed at a 62% rate, this begs the question, are the vaccines working? With the implementation and rise of Covid vaccination rates in 2021, why have Covid deaths not come down? Are there possible reasons for this?

  • Is the data clean?
  • The virus got more infectious and/or deadly in 2021?
  • Geographic, behavioral or genetic considerations?
  • Just think how much it could have been?
  • The narrative is false?

One can understand that correlation is not necessarily causation. But this question must be understood. Perhaps you can make a list of them in the comments section below if you can. What Covid will bring in 2022 remains to be seen.

See more #chartoftheday posts.

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 RWR original article syndication source.

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  1. The vax is obsolete, designed for the original Wuhan virus. The Canadian Covid Care Alliance review of the Phizer interim reports show that Phizer knew their product caused disabling side effects as well as death: https://www.canadiancovidcarealliance.org/media-resources/the-pfizer-inoculations-for-covid-19-more-harm-than-good-2/ At this point the jabs are showing to have a negative benefit rate. More harm than good and ineffective for the latest variant.

  2. Tom I disagree that comparing 2020 death rates with 2021 death rates is a valid measure of the efficacy of the vaccine. there are many contributing factors that can explain the refusal of the death rate to fall not least of which is the emergence of new varients in 2021. howver if the goal is to measure the efficacy of the vaccine then i would suggest you look at death or icu admissions vaccinated v unvaccinated. this will give us a far better measure of the efficacy of the vaccine

    • Given many of the feeble already died in 2020, you suggest the 2021 variant was worst than 2020, dispelling the idea mutants get tamer with each iteration. Nevertheless, this basic data chose more research is needed.

  3. That data is also often skewed by many factors such as: the changing definition of what constitutes being vaccinated vs not, as well as deceptive statistics that average across many months through 2021 when virtually nobody was vaccinated earlier in the year, failure to compare the percentage of vaccinated hospitalizations and/or deaths to the percentage of the population overall – and that with consideration that hospitals in which persons are admitted to icu are not always necessarily in the vicinity of where they live – patients are often moved from small rural hospitals to larger hospitals in the city, for example. Comorbidities – people in the icu, or dying, with the virus rather than from it. As it stands now, if you get admitted to the icu for something else, and you test positive for covid, you’re included in those numbers, and the same goes for deaths with vs from. So on and so forth. T

    On top of all that you have to factor in the number of serious injuries and deaths from the “vaccine.” If you take the CDC’s own estimates that VAERs data is likely under-reported by as much as 6x, then about 20% as many people have died from the so-called “vaccine” as have died from covid – and the “vaccine” has only been around half as long. If it were a real vaccine, it would be more dangerous and deadly than all other vaccines in the history of mankind, combined – but it isn’t a real vaccine. In any event, if you’re going to use serious hospitalizations and deaths to evaluate the efficacy of the “vaccine” vs the virus, then you must also include the serious hospitalizations and deaths that are caused by the “vaccine” itself.

  4. Cases are way up, hospitalizations are up, and deaths are on the rise. And this has happened as the percentage of the “vaxxed” population has increased. Highly “vaxxed” countries such as Canada and Australia are now seeing several times more daily cases, hospitalizations, and deaths than ever before. While in the US, with far lower “vaccination” rate, daily deaths are slightly up, but still far below earlier peaks.

    They like to point out that correlation does not necessarily indicate causation, yet the drug trials and FDA approval were based on that exact approach – and that with very little correlation to indicate any measure of efficacy, just a few percentage points difference between the test group and control groups. (that we know of, considering much of the data is deliberately being withheld)

    But in this case, we’re not talking about unrelated correlations at all. We’re talking about one trend (the increase of “vaccination”), which if effective, was specifically advertised, and purposed to affect other trends (cases, hospitalizations, deaths from covid), when it did not. That’s not an unrelated or disconnected correlation. Even for those who still wrongly believe the “vaccine” is effective, that is not an unrelated correlation – obviously since they believe that getting everyone to take the “vaccine” will end the virus – it’s just that they (again wrongly) believe that a very high percentage of the population must be “vaccinated” before any noticeable influence on the trend of cases, hospitalizations, and deaths will be evident. So neither “side” really believes that the two are unrelated, disconnected, independent correlations – even though the “pro vaxx” crowd likes to pretend otherwise, they haven’t stopped to think about what they’re actually claiming – if no such correlation existed, then why would they be pushing the “vaccine” in the first place, if not for their belief that it would reduce cases, hospitalizations, and deaths?

    When correlation does indicate causation, to a high degree of probability, is when all other possibilities are exhausted – such as vast numbers of young “vaccinated” people suddenly coming down with myocarditis, dying with heart problems, etc. in numbers far beyond anything ever seen. In cases such as that, there isn’t anything else that it could be – it’s the vaccine.

  5. If TPTB say everybody needs to be “vaccinated” in order to end the pandemic, then they’re claiming that as “vaccination” reaches 100%, then cases, hospitalizations, and deaths will reduce to zero. So they’re basically claiming that a causation will show a correlation. They’re claiming themselves that as one trends upwards, others will trend downwards. And that is how vaccines are supposed to work. It’s their claim, not ours. All we’re doing is using the data to point out that it’s not happening as it should, and in fact the opposite is happening.

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Written by Tom Williams

Born down on the farm in America's Midwest, my early life was spent climbing the ladder via a long career in information technology. Starting as a technician, and after earning a degree going to night school, I eventually found a place working at ATT Bell Laboratories as a software engineer.

Later moving into management and then a long stint in a major management consulting firm working with major banking, telecommunications, and retail companies. Working in various states in America, I also spent considerable time living and working in several European countries - currently expat in France. As a side career, I was heavily involved in real estate development and an avid futures trader. This experience can give one a unique view of the world.

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