Billions Burned On Bad Climate Calls

July 16, 2026

Billions in taxpayer dollars have chased climate models that often run too hot, and many Americans now want to know who is accountable for the expensive mistakes.

Story Snapshot

Climate models show a wide range of warming outcomes and many have overstated actual temperature changes.
Newer “hot” models in major international projects predict about 25% more warming than we have observed since 1970.
Other long‑term studies find many older models matched real-world warming when inputs were corrected.
These mixed results raise serious questions about the trillions committed to aggressive climate policies built on uncertain models.

Climate Models Under Fire for Running Too Hot

Conservatives across the country are asking where they go to get a refund after decades of costly climate policies built on computer models that often predict more warming than has actually happened. Analysts at a conservative research group compared global warming observations since 1979 to leading climate models and found the models produced, on average, about 43 percent faster warming than reality. They also reported that summertime temperature projections for the American Corn Belt ran up to seven times hotter than the observed data.

Critics say this gap between prediction and reality shows a serious flaw in the science used to justify sweeping regulations, subsidies, and energy restrictions. A technical review of climate models notes that every model examined overstated measured warming, suggesting a deeper problem with the assumptions built into these tools. Heritage Foundation researchers add that the latest “state‑of‑the‑art” models produce too much warming in multiple layers of the atmosphere, from the surface to satellite readings, over the past fifty years. For taxpayers, these errors mean billions spent following projections that did not match what nature delivered.

Mixed Record: Some Models Accurate, Others Exaggerated

Supporters of today’s climate policies counter that many models have done a good job capturing global warming trends. A major review by university and federal scientists looked at 17 climate model projections dating back to the 1970s and found most were “skillful” at projecting average global temperature changes. When the researchers corrected differences between predicted and actual greenhouse gas levels, 14 of the 17 projections were statistically consistent with observed warming. In other words, when the inputs matched real-world emissions, older models did not clearly overestimate or underestimate warming overall.

Still, even these studies acknowledge real uncertainty, especially in newer generations of models that drive current policy debates. Analysis of the latest international model set, known as CMIP6, found that the average of these models shows about 25 percent faster warming than observed since 1970. This faster trend is driven by a subset of “high sensitivity” models that assume very strong warming from carbon dioxide and push up the overall average. Climate model experts note that these hot models are now being reassessed and, in some cases, de‑emphasized, but their influence remains baked into years of alarms and spending.

What Uncertainty Means for Policy and Your Wallet

Policy scholars warn that large unknowns in climate model sensitivity and future emissions make it hard to design sound, long‑term laws based on these projections. Major reviews show that estimated warming from doubling carbon dioxide ranges from under 2 degrees Celsius to more than 5 degrees, a factor‑of‑three spread that leaves wide room for error in both directions. When governments assume the higher end and lock in strict rules, the economic cost can be massive, especially for working families already facing inflation and high energy bills.

Decades of climate spending have followed the most alarming scenarios, often treating uncertain model outputs as settled facts. States and federal agencies have poured money into green subsidies, mandates, and global deals that raise energy prices and grow federal power, while the core models behind these moves still show serious disagreement and bias. For many conservatives, the key question now is not just whether the climate is changing, but who is responsible when costly “settled science” turns out to be exaggerated. As the Trump administration pushes for “climate realism,” pressure is growing for a full audit of the models, the spending, and the people who sold lawmakers on forecasts that overshot reality.