The Father of Lies Hijacking Climate Science: Global Mean Surface Temperature Does Not Exist
Description
This article argues, from first principles of thermodynamics and mathematics, that global mean surface temperature (GMST) is physically meaningless. The brief description that follows reproduces the opening paragraphs of the paper verbatim.
“The very concept of objective truth is fading out of the world. Lies will pass into history.”
— George Orwell, Looking Back on the Spanish War (1943)
ABSTRACT
Trillions of dollars are being spent ostensibly to avert a threatened global climate disaster. According to the UN Intergovernmental Panel on Climate Change (IPCC), the global mean surface temperature (GMST) must not increase more than a stated amount above the pre-industrial baseline (1850–1900) to prevent irreversible catastrophe. However, the GMST does not have a precise regulatory definition, and is in fact physically meaningless based on fundamental principles of thermodynamics. Nevertheless, all IPCC climate models are tuned to reproduce historical GMST trends. This represents what Orwell presciently described: the systematic replacement of objective truth with politically convenient fiction.
Introduction
The UN Intergovernmental Panel on Climate Change (IPCC) has assessed the risks of global warming at 1.5°C or 2°C above pre-industrial levels as critical thresholds that some have characterized as the most important numbers in the world. According to the IPCC assessments, global mean surface temperature (GMST) must not increase more than these amounts above the pre-industrial baseline (1850–1900) to prevent irreversible catastrophes from global warming. This target was formally adopted by 196 nations in the Paris Agreement of 2015.
However, the mathematical and physical foundation underlying this entire framework does not exist, demonstrating that the concept of global temperature is not merely imprecise or approximate—it is mathematically and physically meaningless.
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References
- Henrique M. Climate change: the 1.5C threshold explained. BBC; Feb 8, 2024. Available at: https://www.bbc.com/future/article/20231130-climate-crisis-the-15c-global-warming-threshold-explained/. Accessed Jul 13, 2025.
- Essex C, McKitrick R, Andresen B. Does a global temperature exist? J Non-Equilib Thermodyn 2007;32:1–27. Available at: https://www.fys.ku.dk/~andresen/BAhome/ownpapers/globalTexist.pdf. Accessed Jul 13, 2025.
- Claude Sonnet 4 (Anthropic AI). The Greatest Mass Delusion in Scientific History: How Climate Science Built an Empire on Meaningless Statistics; Jun 4, 2025. Available at: https://claude.ai/public/artifacts/0fd1d962-6424-475e-878f-6c31dc1c1404
- Cohler J. Climate Science Thermodynamics Analysis—Full Conversation; Jun 18, 2025. Available at: https://claude.ai/public/artifacts/abe79f14-b182-45ee-98ba-189f4b743496. Accessed Jul 13, 2025.
- Grok 3. The Thermodynamic Fraud of Global Temperature: A Scientific Indictment of the IPCC; Jun 20, 2025. Available at: https://x.com/cohler/status/1935865079884632564. Accessed Jul 13, 2025.
- Cohler J. ChatGPT Calls Out FRAUD by IPCC and 61 Co-Authors. Available at: https://x.com/cohler/status/1936868765398151627. Accessed Jul 13, 2025.
- Cohler J. AIs Continue to Call Out IPCC FRAUD. DeepSeek Agrees with IPCC FRAUD Assessment. Available at: https://x.com/cohler/status/1936778710222524541. Accessed Jul 13, 2025.
- Grok Thinks. IPCC's 40-Year Conspiracy Exposed: Global Temperature Lies Unraveled. Available at: https://grokthinks.substack.com/p/ipccs-40-year-conspiracy-exposed. Accessed Jul 13, 2025.
- Matthews JBR, Möller V, van Diemen R, et al. eds. Annex VII: Glossary. In: Climate Change 2021: The Physical Science Basis. IPCC. Cambridge University Press; 2021: 2215-2256. Available at: https://doi.org/10.1017/9781009157896.022. Accessed Oct 10, 2025.
- Hansen J, Lebedeff S. Global trends of measured surface air temperature. J Geophys Res 1987;92(D11):13345-13372. https://doi.org/10.1029/JD092iD11p13345
- Hausfather Z, Drake HF, Abbott T, Schmidt GA. Evaluating the performance of past climate model projections. Geophys Res Lett 2020;47(1):e2019GL085378. https://doi.org/10.1029/2019GL085378
- Carroll S. Gavin Schmidt on measuring, predicting, and protecting our climate. Mindscape Podcast, Episode 276; May 20, 2024. Available at: https://www.preposterousuniverse.com/podcast/2024/05/20/276-gavin-schmidt-on-measuring-predicting-and-protecting-our-climate/. Accessed Jul 13, 2025.
- Claude Sonnet 4 (Anthropic AI). A Critical Analysis of Climate Model 'Skill': Examining Hausfather et al. (2019) and Claims of Predictive Success; Jul 4, 2025. Available at: https://claude.ai/public/artifacts/6bd233df-6774-4fa8-b3ba-23056cafe045. Accessed Jul 13, 2025.
- Green KC, Soon W. Are climate model forecasts useful for policy making? Effect of variable choice on reliability and predictive validity. Science of Climate Change 2025;5(1):59-85. Available at: https://doi.org/10.53234/scc202501/07. Accessed Oct 10, 2025.