Summary: Another peer-reviewed paper predicting disaster from climate change by misrepresenting and exaggerating the science. We can still learn much from it.
By Solomon Hsiang et al in Science, 3 June 2017.
“Estimates of climate change damage are central to the design of climate policies. Here, we develop a flexible architecture for computing damages that integrates climate science, econometric analyses, and process models. We use this approach to construct spatially explicit, probabilistic, and empirically derived estimates of economic damage in the United States from climate change.
We start with the abstract, dry language for bombshell conclusions. Then we examine the assumptions and conclusions that mainstream journalists gloss over.
“The combined value of market and nonmarket damage across analyzed sectors — agriculture, crime, coastal storms, energy, human mortality, and labor — increases quadratically in global mean temperature, costing…
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