Those who conducted the study could simply have asked Def-Con News readers what they think about the Climate Change Hoax and they would have obtained the same results.
This from infowars.com.
However, a recent study indicated that manmade anthropogenic climate change, formerly called ‘global warming’ and previous to that ‘global cooling’, is not based in reality, rather, it is based on imagination and assumptions.
The study stated in the ‘Conclusions’ section:
Rather, such claims are based on imagination and climatic models full of assumptions. However, as shown in the causality direction in time series produced by climatic models is opposite to that of the real-world data.
The researcher said that the narrative of human-generated CO2 emissions affecting temperatures is essentially fake science.
The study stated in the ‘Abstract’ section:
The premise of this study is that the climatic system is very complex and subject to perpetual change due to numerous processes, either internal or external to it.
The fact that one of them, namely the relationship of climate with atmospheric CO2, is highlighted in the last decades does not correspond to its actual importance as a climate driver.
The promoted importance is a non-scientific issue, related to the narrative that humans, through their emissions by fossil fuel burning, are responsible for the changes we see in climate.
The study stated in the ‘Introduction’ section:
While causality is a fundamental notion in science and life, there also exist fundamental problems on philosophical, scientific, and practical grounds, in its essence and its identification.
These problems are manifested in controversies, which are not only theoretical but have important social, political, and economic implications. Some of the most controversial issues of our time are related to Earth’s climate, not excluding the causal relationship between atmospheric temperature (T) and carbon dioxide (CO2) concentration.
The study also stated in the ‘Introduction’ section:
Earth’s climate has varied in all times and on all time scales. Its variability should not be regarded a puzzle, given the huge complexity and the connections of the climatic system with numerous agents of change, internal, such as atmospheric composition, hydrological processes, and biosphere evolution, or external, such as geologic activity and tectonic changes, solar activity, galactic cosmic ray flux, and orbital changes.
Rather, the puzzling issue is the relative stability (small variation) of Earth’s climate. Specifically, geological evidence presented by Veizersuggests the presence of running water as far back as we have a record, up to 3.8 or even 4.2 billion years, while it was thought that Earth would be in an ice ball state up to about 1 billion years ago because of the much smaller solar irradiance. This is known as the faint young sun puzzle.
The study further stated in the ‘Introduction’ section:
I use temperature and [CO2] data series for all these time frames, namely proxy data for the Phanerozoic, the Cenozoic, the late Quaternary and the Common Era, and instrumental data for the last seven decades.
In Section 3, I explain the inappropriateness of deterministic methodologies for detecting causality and I adapt the stochastic methodology proposed in [1,21] to be used with the above data series.
Further, the study stated:
[T]here are political and economic forces driving the propagation of the anti-CO2 narrative under the guise of science.
Also discussed are the dramatic changes in climate over massive amounts of time, far greater than the time since the introduction of ‘fossil fuel’ burning technology.
Chiefly, the study deduced the real relationship between CO2 and temperature fluctuations.
Kevin Hughes wrote in Natural News:
The strong conclusion of the study is that the causality direction certainly shows the temperature changes lead and CO2 changes lag on yearly, decadal, centennial and millennial scales.
The method taken to conduct the research was analyzing previous geologic periods and comparing their CO2 and temperature trends to try and identify any corollary data.
