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We need to get away from covid mortality and instead focus on all-cause mortality and morbidity (e.g., myocarditis) where we compare absolute values for vaccinated with unvaccinated and with a historical mortality and morbidity average.

Why? Otherwise we may miss non-covid adverse events from vaccines.

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But the criminal agencies just provide junk data! There are only two data we need:

1) All causes hospitalizations and deaths among uninjected and injected of the same group of people and at the same time and place. This data is almost impossible to get except in an RCT, but we do have that:

https://www.canadiancovidcarealliance.org/media-resources/the-pfizer-inoculations-for-covid-19-more-harm-than-good-2/

2) Hospitalizations and deaths of different causes among the injected and uninjected compared to previous years. Have heart fibrillation, clotting, cancers, neurological greatly increased and is it only in the jabbed? This data should be easy to collect and it is being collected. Here in Sweden, they (Socialstyrelsen) will release data for 2021 in December 2022, because no hurry with the most important data, so better bullshit about "cases", vague definitions of "died with covid" and counting people who just got their second jab as "unvaccinated".

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Hei Henrik,

I'm in agreement with the junk quality of these data.

As to the two main groups you mentioned, I think the data is pretty clear (and damning) on that front, at least since ± September 2021 in Norway: the 'uninjected' will continue to 'suffer' from Covid-19, but to far, far lesser degrees than their 'injected' peers. This is particularly true for the 'boosted' ones whose all-cause hospitalisation rates exploded in the past three months (which, quite incidentally, is supposedly within the 90-120 days of 'protection' afforded by the booster injections, so, perhaps we ain't seen nothin' yet…)

There is but one major confounding variable, which cannot be quantified due to the lack of reliable testing data: what about all those boosted individuals who came down with Covid-19, direct or 'indirect' (AEs), but didn't require hospitalisation? In my circles alone (middle-aged), virtually everyone I know is 'boosted', and almost all got Covid-19 anyways and were pretty sick for 3-5 days, i.e., much worse than my wife or I got down with it. Similarly, a friend of mine in Austria 'confirmed' this pattern, i.e., 'unvaccinated' Covid is way less problematic than 'vaccinated' Covid.

But how to factor this into the data? I suppose it's quite literally impossible for we don't know how many Covid-19 'cases' there are, how many 'vaccinated' come down with it, and how 'bad' it is. Based on anecdotal experiences, I'd guesstimate that this underreporting factor is considerable, even if I'm personally convinced most injected-but-Covid-infected are grossly exaggerating their 'plight'.

As to the comparison across years, I suspect that these results are in, at least for Norway: Joel Smalley wrote about it, and I did a bit as well: 2020 saw much lower case rates, hospitalisation, ICU, and death numbers, hence the massive upsurge all of these *must* be somehow connected to the injections.

Alas, I remain as wary as you are about these additional data that would shed some light on these issues.

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Since when has table 8 been produced in this form? I assume that vaccinations in Norway started on December 28, 2020 (therefore chosen as starting point for the counting; the date has been the same in Germany, presumably due to the Europe-wide kick-off). That was right in the middle of the 2021 winter wave. Between December 28, 2020 and March 31, 2021 Norway seems to have had around 250 Covid deaths. Practically all of these must fall into the unvaccinated category.

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I'm unsure about the precise date, for I've been compiling these data 'only' from week 39 onwards in my spreadsheets, and only occasionally for earlier versions of the weekly updates. If I'd have the time, I'll collate the pre/post injection rollout data, but from the few reports I've checked out in detail from, say, Q1 2021, I presuppose that you're correct.

That said, the most curious aspect is that the April wave of 'Covid' (direct and 'indirect') was much larger than the seasonal winter wave around Dec./Jan., hence there's another set of correlation to explore. I recall writing about it in my three-part AE series, but the bottom line is this: the injections don't afford lasting protection, they cause considerable harm, and I personally fear that these negative aspects are cumulative over time, i.e., the more injections one receives, the worse it'll get.

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