1/ The C-19 death count is the same information rigging playbook as global warming.

It could literally be put into formulaic terms to explain: [X = Y - Z]

X = Total deaths FROM C-19
Y = Total deaths WITH C-19
Z = Deaths with underlying conditions (diabetes, cancer, etc)
2/ This is how it breaks down for climate change 👇
Source: ()

Logically, starting with X means if Z is underrepresented in the data or miscalculated, then Y absorbs the difference to equal X.
3/ The IPCC has been under inclusive (until CMIP6) measuring certain natural variabilities like solar particle forcing and other forcing pathways in their models, so the models falsely attribute certain natural variabilities to anthropogenic effects.
4/ Here is a visual example of how we can tell the models are under inclusive.

The IPCC for decades only measured irradiance forcing of the upper atmosphere which makes up just 0.1% of natural variability, while ignoring solar forcing pathways which gave us this. 👇
5/ So during one of the strongest solar events in recent history, measuring irradiance gave us a negative reading, when the opposite should happen. The difference of this error gets falsely attributed to anthropogenic effects by default.

Remember 👇
6/ What we're seeing with C-19 fear mongering is basically the same manipulation. Incorrect data models lead to false attribution of the other factors.

The data is under inclusive to deaths from/with other underlying conditions, which leads to more deaths attributed to C-19.
7/ No, I'm not an expert on the subject but I'm good at recognizing patterns and applying logic. Most of this climate information can be found on the channel associated with YouTube videos or heading over to http://spaceweathernews.com  & http://Suspicious0bservers.org .

Eyes open, no fear!
8/ If interested in learning more about the subject of solar forcing:



Also a relevant video:

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