Rating the Big Picture
(UPDATED) They are hiding the big picture view of both death rates and excess deaths...
UPDATED 12/10 12pm
You might remember my recent discovery about the US, Germany and Belgium. They have psy-op’ed you into being terrorized about the same risk of death you would have had being teleported into a German or Belgian body last year. It’s incredible really.
Beyond incredible even.
As I’ve researched this further I think I now have one of the most important charts we didn’t know we needed to cut through the squid ink ;)
This is a zero-based linear chart of death rates so all the comparisons shown among countries are valid. I don’t believe mortality.org data is age adjusted but using rate data as here does automatically population adjust.
UPDATE 12/10: This is the one chart they really don’t want you to see as it puts the lie to how much of an impact the virus is having in historical and cross country context. For instance, Sweden’s mortality rate has only been returned to what it was in 2016 — do you remember their cries for help back then?! (You can probably find local Swedish media stories from then about how their hospitals were overrun with flu patients just as you can in the US for 2018 though…)
The chart now includes historical US all ages mortality rates back to 2000 (heavy dark blue line) patched in, full year calculations and added annotation. This is another illustration of my previous discovery that the US has been on a rising mortality rate trend since 2009 and ironically that causes the “mortality setback” for the US to reach back into the 1950’s or so (which is consistent with another of my discoveries that the adjusted toll of the 1957 Asian flu pandemic was comparable to C19).
But it remains true that even with the virus, mortality in the US has only risen to that of 2018 and before in Belgium and much less than Germany (DEUTNP on the chart)!
For those under the mistaken impression that lockdowns and masks are important to any of this, please stop now and watch Ivor’s new video so you’ll be disabused of that. And everything being done today with lockdowns and masks is completely contrary to all WHO and CDC guidance from 2019 and before. Think about that.
Key additional points:
This is all based on mortality.org data which aggregates from the various country’s official agencies. But this is “All Causes” mortality so the effects of the crazy testing are filtered out and it provides an “excess deaths” oriented view. However, we have no way to determine how many of these deaths are due to lockdown effects themselves for instance which is substantial.
Although this chart data is for all ages it also includes breakdowns by age brackets (0-14, 15-64, 65-74, 75-84 and 85+). I’ll be doing a future post on that but the spoiler is that it fully supports the “dry tinder” hypothesis that the vast majority of impact from C19 is on frail elderly that were already targets of the flu but had survived recent mild seasons.
It was bad health news to be in the former Soviet Communist bloc and those countries are still recovering from that. Let’s try to avoid a replay in the West please.
It’s very interesting how low recent historical death rates are in the PacRim and in Israel. Interestingly, this seems to be at least partially separated from ethnicity. There is at least no dis-confirmation of the bat virus immunity hypothesis here. All of the PacRim countries show a decrease or very small rise in their death rates!
I have added “odds” notations on the right labels so it’s easy to understand the rate change at a glance. For instance, in Israel at the bottom, the overall odds of death rise from 1 / 197 to 1 / 190 which is about a 3% rise on the pre-existing risk of death in 2019. For the US, it goes from 1 / 115 to 1 / 104 which is about an 11% increase for all ages used on this chart. (But this risk is uneven and rises exponentially with age even more so than the pre-existing risk of death in 2019 for instance.)
This chart also provides an interesting foil to examine the various methods of calculating excess deaths and I will have more to say about that in future…
The (now dated) busy version with the monthly data looks like this: