Climate change and a logic for updating opinions
Gavin over at RealClimate reports on a new poll by Zogby International that found Americans generally now believe that global climate change is real and has had effects on specific weather events like this summer's drought and hurricane Katrina.
RealClimate questions whether this change of opinion is in fact because of individual experiences or increased awareness of severe weather events, citing televangelist Pat Robertson saying it is the latest heat wave that finally convinced him. RealClimate speculates that when ideas are regularly before the public mind, for instance through the mass media, unexceptional events illegitimately cause or confirm changes of public opinion.
Of course, scientific inference generally does not proceed from isolated events, particularly from a single event. RealClimate underscores that scientists do not have a way of pinning particular weather events to overall patterns of climate change. Rather, it is changes in long run patterns -- frequency of hurricanes and so forth -- that is more appropriately attributed to climate change (and when observed in data provide evidence for the hypothesis). Gavin is correct about how evidence is brought to bear on scientific theories, at least in principle, or in what is sometimes called "rational reconstruction".
But is the probabilistic model for change of belief also the appropriate one for the change of public opinion? Perhaps there is room for unique events to cause a change of opinion. Where this occurs is precisely the situation we have in climate science: where we are presented with absolutely unfamilar experiences and seemingly preposterous explanations for them at the same time. I think the question turns on a difference between experiences -- which regulate the set of ideas we are willing to entertain -- and evidence -- which is meant to change our opinions about ideas already under consideration.
For background, assume only ordinary experience. No appeals to scientific knowledge are allowed. Now consider being presented with an absolutely preposterous hypothesis. The perposterousness of the proposition is fundamental. Adopting Bayesian terminology for the sake of convenience, our self-assessment of our own prior probability is near zero, or even zero itself. This is due to the immediate judgement that the proposition is preposterous.
If our prior probability is near zero it takes a great deal of evidence -- the kind scientists collect and report in scientific journals -- to change our opinion. If it is zero, our opinion cannot be changed at all. Further, non-scientists generally are not able to effectively evaluate claims to evidence put forth by scientists. What is one to do with information of unknown quality? Consider it circumspectly. It need not be that the public mind doubts the validity of a scientific claim, only that it does not know how to incorporate it into the accumulation of evidence or how to modify opinion accordingly. Thus, opinion will change slowly as the evidence accumulates.
Thus, for a theory (climate change) that has now been before the public for a period of time, the public, not knowing how to evaluate this information, finds its posterior probability on the proposition that the theory is true slowly shifting. Mixing metaphors from probability theory a bit, we will also say it has a broad posterior probability density. I will guess that posterior probability will shift much faster for scientists, who are used to entertaining all kinds of crazy ideas.
Now, back to experience. In the sustained presence of the new theory some experiences occur. I want to distinguish these anecdotal, subjective encounters with nature from the rigidly structured, quantitative encounters with nature that occur in research. These are experiences which in the absence of the theory (now before the public mind) would have seemed either unexceptional or inexplicable. In either case, they would have no bearing on one's belief about the theory. However, now there is a kind of fit (speaking loosely) between these experiences and the theory. They are a third category of events "possible evidences" (i.e. not unexceptional or inexplicable) which may or may not be linked to the phenomena postulated by the theory. It would require further consideration to know.
I think it is perfectly reasonable for this conjunction of a theory-before-the-public-mind and anecdotal evidence to cause the individual to revisit her prior probability. After all, the value assigned to this prior was just a self-assessment to begin with. What we might find is that a categorical change in the conceptual landscape changes the set of entertainable propositions. Then, after this post facto revision of the prior, the accumulated evidence chronicled in the journals and publicly disseminated by the media, which previously did not have very much effect, seems much more relevant and intelligible. This evidence now forces a change of opinion, after the facts of accumulated evidence have long been around, by having pulled the rug out from under the original defeator (its preposterousness).
Admittedly, this is a simplistic conception of belief change. Doubtless there are many ways in which qualitative evidence and different kinds of evidence are brought to bear on individual and public opinion. But, as a model, it is a bit more complex than the simple Bayesian approach and more insidious scientistic notions. Further, it makes intelligible observed patterns in changes in public opinion, particularly its lag behind scientific opinion. To a degree, it even justifies these lags.
In conclusion, I think it is perhaps a tad patronizing to conclude that "[I]t is probably overly optimistic to expect scientists... to have much success in conveying these finer points to the public directly. Instead, their skills are probably best used in clarifying these points to those (e.g. journalists, policy-makers) that set the dominant themes in the first place."
No doubt, however, it will require some thoughtful evidence brought by non-scientists to change the opinion of scientists on this point.
RealClimate questions whether this change of opinion is in fact because of individual experiences or increased awareness of severe weather events, citing televangelist Pat Robertson saying it is the latest heat wave that finally convinced him. RealClimate speculates that when ideas are regularly before the public mind, for instance through the mass media, unexceptional events illegitimately cause or confirm changes of public opinion.
Of course, scientific inference generally does not proceed from isolated events, particularly from a single event. RealClimate underscores that scientists do not have a way of pinning particular weather events to overall patterns of climate change. Rather, it is changes in long run patterns -- frequency of hurricanes and so forth -- that is more appropriately attributed to climate change (and when observed in data provide evidence for the hypothesis). Gavin is correct about how evidence is brought to bear on scientific theories, at least in principle, or in what is sometimes called "rational reconstruction".
But is the probabilistic model for change of belief also the appropriate one for the change of public opinion? Perhaps there is room for unique events to cause a change of opinion. Where this occurs is precisely the situation we have in climate science: where we are presented with absolutely unfamilar experiences and seemingly preposterous explanations for them at the same time. I think the question turns on a difference between experiences -- which regulate the set of ideas we are willing to entertain -- and evidence -- which is meant to change our opinions about ideas already under consideration.
For background, assume only ordinary experience. No appeals to scientific knowledge are allowed. Now consider being presented with an absolutely preposterous hypothesis. The perposterousness of the proposition is fundamental. Adopting Bayesian terminology for the sake of convenience, our self-assessment of our own prior probability is near zero, or even zero itself. This is due to the immediate judgement that the proposition is preposterous.
If our prior probability is near zero it takes a great deal of evidence -- the kind scientists collect and report in scientific journals -- to change our opinion. If it is zero, our opinion cannot be changed at all. Further, non-scientists generally are not able to effectively evaluate claims to evidence put forth by scientists. What is one to do with information of unknown quality? Consider it circumspectly. It need not be that the public mind doubts the validity of a scientific claim, only that it does not know how to incorporate it into the accumulation of evidence or how to modify opinion accordingly. Thus, opinion will change slowly as the evidence accumulates.
Thus, for a theory (climate change) that has now been before the public for a period of time, the public, not knowing how to evaluate this information, finds its posterior probability on the proposition that the theory is true slowly shifting. Mixing metaphors from probability theory a bit, we will also say it has a broad posterior probability density. I will guess that posterior probability will shift much faster for scientists, who are used to entertaining all kinds of crazy ideas.
Now, back to experience. In the sustained presence of the new theory some experiences occur. I want to distinguish these anecdotal, subjective encounters with nature from the rigidly structured, quantitative encounters with nature that occur in research. These are experiences which in the absence of the theory (now before the public mind) would have seemed either unexceptional or inexplicable. In either case, they would have no bearing on one's belief about the theory. However, now there is a kind of fit (speaking loosely) between these experiences and the theory. They are a third category of events "possible evidences" (i.e. not unexceptional or inexplicable) which may or may not be linked to the phenomena postulated by the theory. It would require further consideration to know.
I think it is perfectly reasonable for this conjunction of a theory-before-the-public-mind and anecdotal evidence to cause the individual to revisit her prior probability. After all, the value assigned to this prior was just a self-assessment to begin with. What we might find is that a categorical change in the conceptual landscape changes the set of entertainable propositions. Then, after this post facto revision of the prior, the accumulated evidence chronicled in the journals and publicly disseminated by the media, which previously did not have very much effect, seems much more relevant and intelligible. This evidence now forces a change of opinion, after the facts of accumulated evidence have long been around, by having pulled the rug out from under the original defeator (its preposterousness).
Admittedly, this is a simplistic conception of belief change. Doubtless there are many ways in which qualitative evidence and different kinds of evidence are brought to bear on individual and public opinion. But, as a model, it is a bit more complex than the simple Bayesian approach and more insidious scientistic notions. Further, it makes intelligible observed patterns in changes in public opinion, particularly its lag behind scientific opinion. To a degree, it even justifies these lags.
In conclusion, I think it is perhaps a tad patronizing to conclude that "[I]t is probably overly optimistic to expect scientists... to have much success in conveying these finer points to the public directly. Instead, their skills are probably best used in clarifying these points to those (e.g. journalists, policy-makers) that set the dominant themes in the first place."
No doubt, however, it will require some thoughtful evidence brought by non-scientists to change the opinion of scientists on this point.

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