Climate Models and Precautionary Measures

Forthcoming in Issues in Science And Technology Summer 2015

Joseph Norman, Rupert Read, Yaneer Bar-Yam, and Nassim Nicholas Taleb

The policy debate with respect to anthropogenic climate-change typically revolves around the accuracy of models. Those who contend that models make accurate predictions argue for specific policies to stem the foreseen damaging effects; those who doubt their accuracy cite a lack of reliable evidence of harm to warrant policy action.

These two alternatives are not exhaustive. One can sidestep the “skepticism” of those who question existing climate-models, by framing risk in the most straight- forward possible terms, at the global scale. That is, we should ask “what would the correct policy be if we had no reliable models?”

We have only one planet. This fact radically constrains the kinds of risks that are appropriate to take at a large scale. Even a risk with a very low probability becomes unacceptable when it affects all of us – there is no reversing mistakes of that magnitude.

Without any precise models, we can still reason that polluting or altering our environment significantly could put us in uncharted territory, with no statistical track- record and potentially large consequences. It is at the core of both scientific decision making and ancestral wisdom to take seriously absence of evidence when the consequences of an action can be large. And it is standard textbook decision theory that a policy should depend at least as much on uncertainty concerning the adverse consequences as it does on the known effects.

Further, it has been shown that in any system fraught with opacity, harm is in the dose rather than in the na- ture of the offending substance: it increases nonlinearly to the quantities at stake. Everything fragile has such property. While some amount of pollution is inevitable, high quantities of any pollutant put us at a rapidly increasing risk of destabilizing the climate, a system that is integral to the biosphere. Ergo, we should build down CO2 emissions, even regardless of what climate-models tell us.

This leads to the following asymmetry in climate policy. The scale of the effect must be demonstrated to be large enough to have impact. Once this is shown, and it has been, the burden of proof of absence of harm is on those who would deny it.

It is the degree of opacity and uncertainty in a system, as well as asymmetry in effect, rather than specific model predictions, that should drive the precautionary measures. Push a complex system too far and it will not come back. The popular belief that uncertainty undermines the case for taking seriously the ’climate crisis’ that scientists tell us we face is the opposite of the truth. Properly understood, as driving the case for precaution, uncertainty radically underscores that case, and may even constitute it.

One thought on “Climate Models and Precautionary Measures

  1. Andrew Goldfinger

    You are essentially actions on CO2 emissions to Pascal’s Wager. The problem with Pascal’s Wager is that it assumes only two choices: believe in G-d or don’t. But what if there are many choices? What if the wager includes choosing between Christianity or Islam. The former says you are damned if you choose the latter and vice versa.
    Limiting CO2 emissions has undeniable benefits, but also costs. Limiting fossil fuels might cause more use of nuclear energy (since other technologies might be too expensive at present). It can have economic impacts that might cause people to lose jobs. We could go on. In discussing complex decisions I usually include consideration of costs, and even the possibility of unforeseen consequences (negative risks). I once wrote of this regarding medical diagnoses in which I used the term “bad zebras” (Doctors are told: when you hear hoof beats think of horses, not zebras).
    Einstein is reported to have said: “everything should be kept as simple as possible, but not simpler.” It has also been said (Yogi Berra?) that every problem has a solution that is simple, obvious, and wrong.
    Does any of what I written make sense?

    … Andy Goldfinger
    Principal Staff Physicist
    The Johns Hopkins University/Applied Physics Labortory


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