Interpreting the Probabilistic Language in IPCC Reports

Author:

Dethier Corey1

Affiliation:

1. Leibniz Universität Hannover

Abstract

The Intergovernmental Panel on Climate Change (IPCC) often qualifies its statements by use of probabilistic “likelihood” language. In this paper, I show that this language is not properly interpreted in either frequentist or Bayesian terms—simply put, the IPCC uses both kinds of statistics to calculate these likelihoods. I then offer a deflationist interpretation: the probabilistic language expresses nothing more than how compatible the evidence is with the given hypothesis according to some method that generates normalized scores. I end by drawing some tentative normative conclusions.

Publisher

University of Michigan Library

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference36 articles.

1. Bayesian Estimation of Climate Sensitivity Based on a Simple Climate Model Fitted to Observations of Hemispheric Temperatures and Global Ocean Heat Content;Aldrin, MagneMarit HoldenPeter GuttorpRagnhild Bieltvedt SkeieGunnar MyhreTerje Koren Berntsen;Environmetrics,2012

2. On the Meaning of Independence in Climate Science;Annan, James D.Julia C. Hargreaves;Earth Systems Dynamics,2017

3. Climate Change Assessments: Confidence, Probability and Decision;Bradley, RichardCasey HelgesonBrian Hill;Philosophy of Science,2017

4. Improving the Use of Calibrated Language in U.S. Climate Assessments;Crimmins, Allison;Earth’s Future,2020

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