The Transition That Never Transitioned: Fossil Fuels Still Powered 86% of the World in 2024

by Dr. M. Wielicki, Nov 20, 2025 in IrrationalFear


It’s November 2025. We are exactly a quarter century removed from the millennial panic, the Kyoto Protocol hype, and the first waves of “irrevocable tipping points” that were supposedly coming in 10 years (i.e., 2010).

We were told that fossil fuels had to be phased out immediately, or the planet would warm by 5–6°C by 2100. 25 years, multiple trillions of dollars, millions of wind turbines and solar panels, and countless “last chance” climate summits later…

Fossil fuels supplied ~88% of global primary energy in 2000.
In 2024, they supplied 86%.

Let that sink in.

 

 

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Global energy supply increased 2% in 2024 driven by rises in demand across all forms of energy, with non-OECD countries dominating both the share and annual growth rates. Fossil fuels continue to underpin the energy system accounting for 86% of the energy mix. Source: https://www.energyinst.org/statistical-review/home

Just How Good Were the Early Climate Models?

by D.R. Legates, Nov 20, 2025 in WUWT

An article by Nadir Jeevanjee, a Research Physical Scientist at the National Oceanic and Atmospheric Administration (NOAA), recently published in The Conversationand reprinted by Space.Com, suggests that climate models are being given a bad rap. It cites a recent Department of Energy report as using the complexity of climate models as the primary reason why these models cannot be trusted. The article protests, “But the history of climate science tells a different story” because early climate models were instrumental in shaping our understanding of the Earth’s climate.

Okay, let’s revisit history—because those who can’t remember history correctly are destined to get it wrong.

First, we need to get one fact correct. The recent Department of Energy report did not simply cite the complexity of climate models as the primary reason they cannot be trusted. It goes into detail as to why current climate models cannot be trusted: namely, they cannot reproduce current conditions.

For example, models are not capable of determining the equilibrium climate sensitivity to increasing carbon dioxide concentrations. As shown in this graph from the DOE report, they tend to “run hot,” or overstate surface warming.