One week before the publication of the report titled “AR6 Climate Change 2022: Impacts, Adaptation and Vulnerability” (https://www.ipcc.ch/report/ sixth-assessment-report-working-group-ii /) from the IPCC Working Group I (WGI) (IPCC-Intergovernmental Panel on Climate Change) of the United Nations (UN) responsible for examining the physical science underpinning past, present, and future climate change, IPCC scientists publicly admit that their current scenarios for climate and global warming are excessive and do not reflect reality.
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If these allegations are substantiated by other scientific bodies, then there is a big question about the credibility of the policies that have so far used the sensitive issue of climate change to lead their countries and the planet to another type of energy transition by destroying existing industries. and imposing exorbitant taxes (please read analysis entitled “Which Businesses Industries Will Win a Leading Role and Which Do Not During the Transition to Green Growth“).
In a recent article in Science magazine -(https://science.sciencemag.org/content/364/6437/222)
Approximately one hundred (100) models of climate prediction for global temperature were examined. Temperatures are very fast and do not correspond to reality. Scientists do not know why this happens (most likely because of incorrect algorithm calculations).
The IPCC will publish the first part of its report on August 9, 2021.
The big question that arises from the erroneous predictions of scientists is whether these models are wrong today or have been constantly wrong in recent decades. Science magazine claims in its article that they are wrong today.
At the same time, we hope that the global community of scientists responsible for climate change will not be divided into two opinion camps, as is the case with other scientists about the Covid-19 pandemic.
It is certain that all mathematical prediction models have room for error. But these “margins of error” and exaggeration cost the national economies and the cohesion of countries trillions, which is why the scientists and politicians involved should be very confident and at the same time careful when making predictions on these issues.
