Significant Errors Identified in the IPCC Reports
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Some countries are concerned about increasing levels of carbon dioxide (CO2) causing dangerous warming of the Earth, as promoted by the Intergovernmental Panel on Climate Change (IPCC). This is a mistake by the IPCC because the warming by CO2 is too small to measure. This study identifies six serious errors by applying critical thinking and the scientific method. For example, doubling the level of CO2, i.e., the Equilibrium Climate Sensitivity (ECS), does not measurably affect the Earth’s temperature because the warming effect of carbon dioxide (CO2) is too small to measure. Thus, the plot of the warming effect of CO2 against the level, whether or not it is a straight line or logarithmic, is irrelevant. The Sun’s energy is the primary control of Earth’s temperature. However, there is some energy input from the ENSO (El Niño Southern Oscillation). Thus, the Earth's temperature drops when the Sun’s energy output falls, as it is currently doing. The IPCC overestimates the warming impact of methane and nitrous oxide, both of which have a negligible warming effect. The Earth’s energy balance is incorrect because it is based on averages, and the amount of energy to evaporate water must equal the amount sent to space. It is recommended that people and their governments know about these errors and take appropriate action.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it