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A Critical Conversation on Climate Change ... - Green Choices

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160 development dialogue september 2006 – carb<strong>on</strong> tradingCarb<strong>on</strong> Off sets and the Ghost of Frank KnightFrank H. Knight(1885–1972), a Universityof Chicagoec<strong>on</strong>omist recognisedas <strong>on</strong>e of thedeepest thinkers in20 th century US socialscience, is famousfor his distincti<strong>on</strong> betweenrisk and uncertainty.351 Although hecould never have anticipated all the ways itcould be applied, Knight’s 1921 distincti<strong>on</strong>helps explain why it’s c<strong>on</strong>fused to put anyfaith in a market for emissi<strong>on</strong>s credits generatedby carb<strong>on</strong>-saving projects.Risk, in Knight’s sense, refers to situati<strong>on</strong>sin which the probability of somethinggoing wr<strong>on</strong>g is well-known. An exampleis the fl ip of a coin. There is a 50–50chance of its being either heads or tails. Ifyou gamble <strong>on</strong> heads, you risk losing yourm<strong>on</strong>ey if it turns out to be tails. But youknow exactly what the odds are.Uncertainty is different. Here, you know allthe things that can go wr<strong>on</strong>g, but can’t calculatethe probability of a harmful result.For example, scientists know that the useof antibiotics in animal feed induces resistanceto antibiotics in humans, but can’tbe sure what the probabilities are that anyparticular antibiotic will become uselessover the next 10 years.Still worse, as Knight’s successors suchas Poul Harremoës and colleagues havepointed out, 352 are situati<strong>on</strong>s of ignorance.Here you d<strong>on</strong>’t even know all the thingsthat might go wr<strong>on</strong>g, much less the probabilityof their causing harm. For example,before 1974, no <strong>on</strong>e knew that CFCs couldcause oz<strong>on</strong>e layer damage. Obviously, thisignorance would have invalidated any attempt,at the time, to calculate the probabilityof oz<strong>on</strong>e depleti<strong>on</strong>. 353 Here, as withuncertainty, talk of ‘margins of error’ is inappropriate.In situati<strong>on</strong>s of indeterminacy, finally, theprobability of a result cannot be calculatedbecause it is not a matter of predicti<strong>on</strong>, butof decisi<strong>on</strong>. For example, it might be ‘implausible’for subsidies for fossil fuel extracti<strong>on</strong>to be removed within five years, butyou can’t assign a numerical probability tothis result, because whether it happens ornot depends <strong>on</strong> politics. In fact, trying toassign a probability to this outcome can itselfaffect the likelihood of the outcome.In such c<strong>on</strong>texts, the exercise of predicti<strong>on</strong>can undermine itself.Problems posed by risk, uncertainty, ignoranceand indeterminacy each call for differentkinds of precauti<strong>on</strong>. Risk fits easilyinto ec<strong>on</strong>omic thinking, because it can bemeasured easily. Uncertainty, ignoranceand indeterminacy, however, call for amore precauti<strong>on</strong>ary and flexible, and lessnumerical, approach. 354Take the carb<strong>on</strong> credits to be generatedby tree plantati<strong>on</strong>s. If these credits werethreatened by nothing more than risk, calculatingtechniques associated with insuranceor discounting would be enough tocreate a viable commodity. You could insurecarb<strong>on</strong> credits from a plantati<strong>on</strong> just asyou take out fire insurance for a building.If you knew the margin of error associatedwith a carb<strong>on</strong> calculati<strong>on</strong>, you could playit safe by applying a discount factor.

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