Philosopher Karl Popper claimed in his book ‘The Logic of Scientific Discovery’ that a hypothesis, proposition or theory is scientific only if it is falsifiable:
“Logically, no number of positive outcomes at the level of experimental testing can confirm a scientific theory, but a single counterexample is logically decisive: it shows the theory, from which the implication is derived, to be false. Popper’s account of the logical asymmetry between verification and falsifiability lies at the heart of his philosophy of science.”
It seems that whatever happens in the climate system is consistent with climate model predictions. Warmer, colder, less ice, more ice, droughts, floods, more hurricanes, less hurricanes, stronger hurricanes, weaker hurricanes, and so on.
An recent example from the media:
Cold wave in India attributed to global warming
Mumbai: The recent cold wave sweeping across Mumbai and other parts of India could be attributed to global warming, experts said on Tuesday here at an environmental conference.
Would the observed mid-troposphere warming of less than the 2 to 3 times increase over surface warming predicted by climate models represent falsification? Or would a prolonged period of global cooling do the job?
So, what event or observation, or series of events/observations over what timescale are required to falsify the climate modelled hypothesis of CO2 driven climate change or global warming?
This post was inspired by a couple of blog posts over at Prometheus:
The Consistent-With Game: On Climate Models and the Scientific Method
Climate Model Predictions and Adaptation
Serious answers to a serious question, please.




Jennifer Marohasy BSc PhD has worked in industry and government. She is currently researching a novel technique for long-range weather forecasting funded by the B. Macfie Family Foundation.