So population modeling is inaccurate because population statistics are being fudged, and the statistics must be fudged because the modeling must be inaccurate. This is circular reasoning.

Let me help you by breaking down the circular reasoning.

Lets start with the elites with an agenda of depopulation in early 1900s. These elites are the same ones funding academic research (amongst many other things).

Step 1: Their agenda requires making people believe that there is a population explosion.

Step 2: Fund those research that helps with your agenda, push them to mainstream. In this case, the models that predict this particular growth

Step 3: Ensure population numbers as accepted are fudged enough to follow this model.

None of these steps are unbelievable, infact they pretty much exposed themselves last two years when they showed us how badly medical research field has been controlled by these same people.

They do it all the time. They tried to do it with "climate change", they do it with pandemics, they do it with pretty much everything.

Climate change didnt work because temperatures can be recorded by anyone, anywhere.

With pandemics it worked pretty well. They predicted pandemics, they funded the research, and then suddenly we had pandemics.

I could understand this kind of incredulity 3 years ago, even amongst the most awake people, but at this point we can decide to be this naive at our own peril.