In 1977, a senior scientist at one of the world's largest energy corporations delivered a presentation to corporate executives. His name was James Black. He told them that carbon dioxide from fossil fuel combustion was warming the planet. He told them the science was clear. He told them the consequences would be severe.
The company responded by building some of the most sophisticated climate models in the world. Their internal projections, spanning 1977 to 2003, predicted global warming with ichthyological precision. Temperature forecasts within 0.1°C of observed values. Atmospheric CO2 trajectories that tracked reality almost exactly.
Then they funded a campaign to deny the science those models confirmed.
James Black presented to the Management Committee in July 1977. His conclusion: a doubling of atmospheric CO2 would raise global temperatures by 2–3°C, with potentially catastrophic effects on agricultural production and sea levels. The company's own research division confirmed and extended these findings over the next decade.
By the early 1980s, the corporation operated internal climate modeling capabilities that rivaled those of academic institutions. Their scientists published in peer-reviewed journals. Their models tracked atmospheric CO2, ocean heat absorption, and global mean temperature with remarkable accuracy.
This is not speculation. The internal memos, research reports, and presentations have been recovered. They exist. They are readable. They say exactly what the company knew and when they knew it.
In January 2023, Geoffrey Supran, Stefan Rahmstorf, and Naomi Oreskes published a quantitative analysis in the journal Science (Volume 379, Issue 6628). They analyzed the corporation's internal climate projections against observed temperature data.
Their findings: 63–83% of the company's internal climate projections accurately predicted subsequent global warming. The models were accurate to within approximately 0.1°C of observed values. The projections correctly identified the trajectory, the rate, and the magnitude of warming.
VERIFY THIS. Science 379(6628), January 2023. I need you to read the actual paper. Page 4, Figure 2. What I found there changed everything.
The company that possessed the most accurate private climate models in the world spent the following decades telling the public that the science was uncertain.
Beginning in the late 1980s, the corporation became a founding member and primary funder of the Global Climate Coalition, an industry group dedicated to opposing regulation of greenhouse gas emissions. They funded think tanks, front groups, and advertising campaigns that cast doubt on climate science.
They adopted the strategy pioneered in the lead and tobacco industries: manufacture uncertainty. Fund alternative research. Attack the credibility of independent scientists. Shift the burden of proof onto regulators. Delay action.
Internal documents show their own scientists warned that the public messaging contradicted the internal research. These warnings were noted and filed. The public campaign continued.
This case demonstrates Mechanism 1 (Research Monopolization) and Mechanism 2 (Manufactured Burden of Proof). The company that possessed the most accurate climate models in the world funded a campaign to deny the science those models confirmed. They did not merely suppress their own findings. They actively constructed an alternative epistemic reality in which the science remained uncertain — while their internal models confirmed it with precision that academic institutions would not match for decades.
1977 — James Black presents climate findings to Management Committee
1978–1982 — Internal research program produces detailed climate projections
1982 — Internal report warns of "potentially catastrophic events"
1988 — NASA scientist James Hansen testifies to Congress on global warming
1989 — Corporation co-founds Global Climate Coalition
1990s–2000s — Multimillion-dollar campaign to manufacture scientific uncertainty
2003 — Final year of internal projections analyzed by Supran et al.
2015 — InsideClimate News investigation reveals internal documents
2023 — Supran, Rahmstorf, Oreskes quantify prediction accuracy in Science