According to the blogger Peter Sweden:
If we take a look at the excess deaths among children aged 0-14 across Europe, there has been a HORRIFYING 1101% increase in excess deaths so far this year compared with the same time period in 2021. Why?
Is the (unsourced) 1101% figure true?
"Caveat percentor"
You can DL the dataset from EuroMOMO and do the simple arithmetic yourself. (Sorry no direct link to the dataset seems possible; they use some AJAX or stuff like that.) It's not 100% clear what formula the blog claims uses, or the exact period involved, but one thing it states is "compared with the same time period in 2021".
So let's look at a few periods; for 2021, the cumulative excess ("observed count" minus "baseline", summed from first week of the year) is actually negative for the first half of the year (i.e. below long-term baseline) and only crosses zero in the 2nd half of that year, so for 2021 you get excess numbers (in the 0-14 age group) like
The corresponding excess numbers for 2022, all well above the baseline
So, using the (b-a)/a x 100 percentage increase formula one can make various claims about the excess like:
It shows more that when talking about percent increase for an excess-above-baseline figure (which can be even negative) one can get even more "whatever you like" results near zero (for the first/reference item) than just truncated graphs.
I can't read the full blog because it's paywalled, but if the author is somehow speculating about causes... Covid vaccines in children probably aren't one because (to quote a bit more form the "RMIT ABC Fact Check" article linked by Mad Scientist)
European countries only began vaccinating their 5-11 year-olds from December 2021, and the European drugs regulator is yet to approve COVID-19 vaccines for children under 5.
But the excess numbers for the 2nd half of 2021 are rather high well before December. E.g for weeks 27-52 of 2021 the excess I get is 903.45. Even if you drop the last 4 weeks (December), it's 746.43. This point was raised in the RMIT piece linked as
Viewed this way, the EuroMOMO data shows there were 910 excess deaths in the last half of 2021, and 611 in the first half of 2022 — meaning excess deaths among under-15s fell by 33 per cent.
(For some reason, I don't get the exact numbers claimed there; I get 903.45 vs 910 and 618.21 vs 611, but they are close enough to what the RMIT article claims to roughly check its claims/calculations. The small diff might be because the baseline has changed in the more recent dataset, or something like that. As noted on the methods page or EuroMOMO, the baseline they calculate [and which is pre-calculated by them in the downloaded data set] for the 0-14 age group is described as "linear trend, no seasonality". I'm guessing that baseline is derived from the 5-year data set they provide, which actually seems to drop a week from 2017 for every week of 2022 that is added as time passes [the DL set only goes back to week 36 of 2017 right now], although the methods description isn't too clear on the latter aspect.)
As I scrolled to the bottom of the EuroMOMO page, I see there is a cumulated graph they provide themselves, in case you doubt my high level description of what the data looked like, relative to the baseline they calculate.
I've added 2019 to the default view/selection (which only includes the pandemic years by default) to see how the 2022 might relate to one year before the pandemic.
These are the graphs for mortality from EuroMOMO which are the source for the claim as far as I can determine:
There is also this article fact checking the claims of the blogger: Viral claims are blaming a surge in excess deaths in Europe on vaccines. But experts say that's not the case
Just from a quick visual comparison of the data you can see that during the lockdown periods the mortality for children was lower and increased again in the later half of 2021. But it is right now still comparable to 2018. The child mortality also never showed the kind of drastic increase you can see for all ages, it is comparatively steady.
According to the fact-checking article the 1101% are a real number, but taken out of context:
Dmitri Jdanov, who heads the Laboratory of Demographic Data at Germany's Max Planck Institute for Demographic Research, told CheckMate via email that the "impressive" percentage change was just an effect of "mortality in this age group [being] relatively low".
The graph I showed above is mortality, what the blog post is talking about is excess mortality which is a fraction of that.
The experts did agree that there is an increase in mortality for children and presented the following hypotheses as possible explanations:
Nevertheless, both experts agreed that deaths were currently higher than would typically be expected, and not all due to COVID-19.
Dr Adair suggested that the post-lockdown resurgence of respiratory infections such as influenza and pneumonia could be playing a role in younger groups.
Meanwhile, Mr Jdanov said the increase might be explained by the "long-term consequences of the pandemic", such as overloaded public health systems, postponed treatments and screenings and the consequences of lockdowns.
This is a shorter and simpler version of Fizz’s answer. I incorporate all his/her calculations by reference.
The claim is approximately true (subject to small data issues), but meaningless.
The swindle in "Peter Sweden"’s claim is that excess deaths are not calculated from a zero-deaths baseline, but from a threshold. Definitions vary, but a fairly common one is amount above μ+2σ where those statistics are calculated by week over a previous 5-year baseline. Hence, by definition, in most years excess deaths are zero.
In particular, using Sweden’s approach, we can say that 2021 excess deaths (for the given age group) were infinitely large, since the 2020 statistic was zero. He does not mention that because for much of 2021, there was no vaccination available for healthy children, and so this increase does not serve his rhetorical purpose. This ridiculous ∞ result is a strong clue that year-over-year increase-in-excess is a statistic of (very) limited value.
