
The repeated claim that climate science is “settled” overlooks myriad uncertainties, competing mechanisms, and computer models that miss the mark when tested against reality. [some emphasis, links added]
Declaring finality in such a field reflects political confidence – even arrogance – not scientific maturity.
The Model-Reality Divergence
Computer models – based on faulty premises – are the bible for the modern climate movement. This, despite the United Nations Intergovernmental Panel on Climate Change (IPCC) describing climate as a “coupled, non-linear, chaotic system” where long-term prediction is effectively impossible.
Policies costing trillions of dollars rely entirely on outputs of these digital simulations. But a model is only as good as its assumptions.
When those assumptions fail to match the physical world, an honest scientist discards the model. The climate establishment, instead, discards the data.
The U.S. Department of Energy’s (DOE) July 2025 report, “Critical Review of Impacts of GHG Emissions on the US Climate,” exposed a hard truth: Fabricated scenarios supposedly representing future warming of the climate are exaggerations having little relationship to observed reality.
Dr Roy Spencer’s latest analysis in January 2026 looked at decadal temperature trends from 39 climate models compared to observations gathered from weather balloons, satellites, and analyses of meteorological information.
He confirmed that “all 39 climate models exhibit larger warming trends” than “observational data.”
Further, theories regarding the global warming potential (GWP) of so-called greenhouse gases like carbon dioxide (CO2)ignore the reality of atmospheric saturation, says Dr. William Happer.
At the current concentration of atmospheric CO2, there is only so much infrared radiation left to be influenced by additional amounts of the gas.
In other words, CO2’s warming effect is limited, and increasingly so as more is added. Yet the models assume a higher warming potential than nature exhibits.
Not Your Father’s Volcanic Eruption
The effect of the January 2022 Hunga Tonga underwater eruption exemplifies the climate system’s complexity. The volcano’s net outcome was not the cooling typically expected from such an event, but rather a complex interplay of competing factors that largely offset one another, with the effect on surface temperatures being nearly zero.
This outcome stands in sharp contrast to historical volcanic eruptions. Mount Tambora in 1815 cooled the globe by as much as nearly 2 degrees Fahrenheit, producing the “Year Without a Summer.”

High-latitude eruptions in the 540s, 1450s, and 1600s generated major global coolings through their injection of sulfates into the stratosphere.
The climate system has feedback loops and other interactions so intricate that even a single volcanic event exposes the limits of our predictive capacity.
Yet climate policies and so-called solutions are advanced with a certainty enjoyed only by the foolhardy and feigned by the dishonest.
What extreme weather?
Perhaps the least honest aspect of the climate crusade is the weaponization of weather. Natural disasters are blamed on climate change and, by extension, on the industries that emit carbon dioxide, purported to be the ultimate bogeyman.
But the 2025 DOE report confirmed other findings that most extreme weather events in the United States show no long-term trend.
Claims that hurricanes, tornadoes, and floods are increasing in frequency or intensity collapse upon observation of the historical record.
Hurricane landfalls exhibit no significant upward trend. Despite predictions of coastal flooding, the global sea level has risen only about 8 inches since 1900. Acceleration in the rate of rise beyond historical averages is not apparent in U.S. tide gauge measurements.
Even more telling is the measure that matters most: human survival. Data show that death rates from nature’s catastrophes have plummeted over the last century. We are safer from assaults of the elements than at any point in human history.
The irony is that global greening of the past four decades – an expansion of vegetative cover by 11 million square miles – has been driven substantially by rising atmospheric CO2.

The villain in the climate alarmists’ narrative has proven partly responsible for measurable improvements in ecosystems.
There is no question that the climate changes over time or that CO2 influences temperatures, although, as noted, to a diminishing degree as its atmospheric concentration increases.
However, the overwhelming evidence is that carbon dioxide is an immensely beneficial molecule – and, as a trace gas in the atmosphere feeding plants and ultimately all life, the more the better.
Highly questionable is whether computer models can dissect climatic complexities – like feedback mechanisms – to justify the wholesale restructuring of the global energy infrastructure.
Viewing the climate issue as unsettled is not to deny science, but rather to respect it. Empirical inquiry thrives on skepticism, on a willingness to question assumptions, on the refusal to treat model outputs as conclusive.
To dismiss this centuries-old process is to put at risk the lifestyles and lives of billions.
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Climate Models are only as good and honest as those who create and design them and Manns Hockey Stick is not honest just part of his dishonest politics
climate science is not based on models
climate science is based on infrared gas lab spectroscopy and satellite measurements of atmospheric radiation
climate models are just a wide range of guesses on the effect on the global average temperature from a variety of variables
on average models from the 1970s when programmed with actual CO2 growth did excellent forecasting.
the average climate model predicted 0.2°C warming per decade and that’s what happened from 1975 to 2026
scientists do not claim that climate science is settled — there are about 30,000 new climate science papers per year
it is settled science that there is a greenhouse effect and human CO2 emissions add to it by some amount. that has been settled science for 166 years
the spencer chart was data mining he picked the tropics where the climate models do the worst rather than looking at the entire planet
I explained this in the comment at the spencer website which got deleted
data mining and censorship are not good science
Vijay has written many good articles about energy over the years but this article is very substandard. Conservatives have been lying about climate models for 12 years and I believe they will never stop
climate models are just a wide variety of guesses of the long term effects mainly of CO2 emissions. no one knows the right answers so the models are really just a waste of time and money.
the models overemphasize CO2, underemphasized the reduction of air pollution and don’t know the effects of clouds
I’ve been calling them climate confuser models since 1997
Climate models are important because they are used by activists to justify costly regulations. Prior to the year 2000 the 102 model average was fairly close to satellite data. Today the models are running hot in comparison to the satellite data. I attribute this to political motivation were the algorithms and input data were adjusted to better support the climate change narrative