1/ #oversterfte Netherlands: The observed mortality rates from EMA Pharmacovigilance (C19 vax) look bad, but in a range that shouldn't show up in the total mortality. It would be a disaster if it did.
What we need are mortality rates by cause and age (e.g. cardiac...).
2/ NL 15-19 years: nothing to see, except MH17 incident 2014.
3/ NL 20-24 years: nothing to see here, except MH17 incident 2014.
4/ NL 25-29 years: nothing to see here. MH17 incident 2014 still visible above the normal rates.
5/ NL 30-34 years: nothing to see here. MH17 incident 2014 still there.
6/ NL 35-39 years: nothing to see here.
7/ NL 40-44 years: nothing to see here.
8/ NL 45-49 years: nothing to see here.
9/ NL 50-54 years: nothing to see here.
10/ NL 55-59 years: nothing to see here.
11/ NL 60-64 years: nothing to see here. Seasonality starts to get visible in this age group.
12/ NL 65-69 years: seasonality visible. Also the sharp but short peak of the first C19 wave. But not at amplitudes that would justify a general panic.
13/ NL 70-74 years: seasonality visible. Sharp but short peak of the first C19 wave. The 2020 spring peak was higher (but shorter) than the typical flu wave. The total peak area is comparable with the 2018 flu season. The 2nd 2020 autumn wave was longer.
14/ NL 75-79 years: seasonality visible. Sharp but short peak of the first C19 wave. The 2020 spring peak was higher (but shorter) than the typical flu wave. The total peak area is comparable with the 2018 flu season. The 2nd 2020 autumn wave was longer.
15/ NL 80-84 years: seasonality visible. Sharp but short peak of the first C19 wave. The 2020 spring peak was higher (but shorter) than the typical flu wave. The total peak area is comparable with the 2018 flu season. The 2nd 2020 autumn wave was longer.
16/ NL 85-89 years: seasonality visible. Sharp but short peak of the first C19 wave. The 2020 spring peak was higher (but shorter) than the typical flu wave. The total peak area is comparable with the 2018 flu season. The 2nd 2020 autumn wave was longer.
17/ Conclusion for 2021: 1) Seasons start at different times--> little can be said now for 21/22 season. 2) The background is higher (even in the young) than any potential vax signal. It would be a disaster if vax would be visible in total mortality. 3) We need data by cause.
18/ To assess any vax safety issues in detail we need: 4) mortality figures by cause, gender and age bin for the young cohorts(<65), e.g. cardiac events. 5) IC data by cause, gender and age for the young cohorts (<65) e.g. cardiac events and thrombotic events.
1/ Let's revisit this result from AIRS satellite measurements over 17 years, showing a +0.36W increase in forcing alongside a 40 ppm rise in CO2 concentration.
Does this align with the "observed" (questionable) increase in global temperature anomaly (+0.6C)?
2/The IPCC reports a calculated CO2 forcing of +0.5W, as detailed on the NOAA AGGI page, which you can find here:
The SW calculation overestimates by 40% compared to the +0.36W derived by the AIRS satellite, marking the first significant discrepancy. gml.noaa.gov/aggi/aggi.html
3/ Now we return to Happer's paper, showing that doubling CO2 from 400 --> 800 ppm results in +3W of forcing.
This is consistent with +3.5W reported by the NOAA AGGI (+3.5W).
Imagine claiming the trial was correct, deploying it to 95% in NZ/AUT, and then—boom!—the incidence explodes instead of the virus being eliminated which should already happen at ~70% rate, and was calculated mathematically to happen based on that very promise. False. Study ➡️🚮
Moreover, mortality rises instead of falling. Who are these people still lying about its mortality effectiveness? It’s a failure, and rightfully, Pfizer's stock is plummeting. Keep grieving; won’t help. We want the money back. Those who wanted it can still buy it with own money.
They think that they will get out of this? Desperation. Or did he just admit that everybody (including the CEO Fauci CDC…) were involved in deceptive advertising claims? I doubt that it is going to have a better outcome. Keep digging the hole 👍
1/ Important. ERA5 is a weather model, not a measurement. This summer field tests revealed: rural areas suffer heat bias due to urban heat pollution, making models/interpolations heat biased.
Here a demo that ERA5 is wrong on the tested location.
2/ This implies that all temperature aggregations in climate aggregations incorporate the heat bias prevalent in rural areas. This outcome is hardly surprising given that the majority of weather stations are situated in urban or airport environments.
2/Context: When aiming to determine the Age-Standardized Mortality Rate (ASMR) rather than Life Expectancy (LE), we employ a straightforward relationship:
ASMR = 90 - LE
(valid for ESP2013 population)
However, for those who find it more relevant, we can maintain the LE-CO2
3/ It's important to mention that money is an abstraction of promised future work (energy future). This is why the US dollar is linked to oil; US have grasped this concept.
Rather than $ inflation adjustments, you can express your wealth / income as tons CO2 (or MWh) instead.
1/ Thanks to the Simpson’s paradox (alle age vaxx rates + all age excess) + spurious correlation (ecological fallacy), the Professor is resurfacing the manipulative fallacy from 2021.
Let’s demonstrate on pre-vaxx year 2020.
@MartinKulldorff
2/ Just to highlight further: the vaccination rate in the age group 65+ where 99% of mortality comes from, is equivalent in almost all European countries and higher than 90%.
3/ He’s furthermore using the ecological fallacy, which we can use to make a time machine (called spurious correlation) and have the vaccine given 2021 working in 2019 or earlier.