While this thread tends to focus on IPCC WGI (Science of Climate Change), there is also: WGII (Impacts, Adaptation and Vulnerability), WGIII (Mitigation of Climate Change) and a Task Force on Greenhouse Gas Inventories. Furthermore, the IPCC was established in 1988 to assess the scientific, technical and socio-economic information relevant for the understanding of human induced climate change, its potential impacts and options for mitigation and adaptation. However, as risk is equal to probability times consequences it is inappropriate to focus on WGI at the expense of WGII & WGIII, as they all influence the risk that society may collapse due to the IPCC choosing to err on the side of least drama, not only with regard to probabilities of back events but also with regard to likely impacts and with regard to possible mitigation measures. Thus in a series of posts (starting with this one), I plan to briefly discuss the appropriateness of the 2 C limit that the IPCC has recommended, and whether the IPCC scientists may have erred on the side of least drama by recommending such a relatively high limit.
Certainly, the IPCC did not work in a vacuum when developing this target, as policy makers, economists, the media and the public at large, influenced what limit the Assessment Report, AR, authors found to be overly dramatic. Also subsequent to AR4, a group of authors unsuccessfully pushed for a 1.5 C limit for AR5, and individual scientists such has Hansen have advocated for a 1 C limit above pre-industrial levels. Furthermore, the IPCC won the Nobel Peace Prize for its AR4 work, so obviously the Nobel selection committee must have believed that the IPCC showed higher moral fiber than society-at-large (note that the IPCC was not particularly lauded for AR5); however, as Wlodarski et al (2015) show this is not saying too much (see the Extract below from the Economist magazine) as based on science it appears that the majority of humans are not wired to deal well with the climate change challenge:
Rafael Wlodarski, John Manning , R. I. M. Dunbar, (2015), "Stay or stray? Evidence for alternative mating strategy phenotypes in both men and women", Biology Letters, Volume: 11 Issue: 2, DOI: 10.1098/rsbl.2014.0977
http://rsbl.royalsocietypublishing.org/content/11/2/20140977http://rsbl.royalsocietypublishing.org/content/roybiolett/11/2/20140977.full.pdfSee also:
http://www.economist.com/news/science-and-technology/21642000-promiscuity-and-fidelity-seem-be-specific-biological-adaptations-theirExtract: "Dr Wlodarski and his colleagues calculate that cads outnumber dads by a ratio of 57:43. Loose women, by contrast, are outnumbered by their more constant sisters, but by only 53:47. Each of these ratios tends in the direction of received wisdom. Both, though, are close enough to 50:50 for that fact to need an explanation.
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If their analysis is correct, Dr Wlodarski and his colleagues have probably stumbled on a type of equilibrium known to biologists as an evolutionarily stable strategy, in which a way of behaving becomes more advantageous as it gets rarer, and less so as it gets commoner. Cads succeed when dads are frequent, and vice versa. Neither can conquer and neither can vanish. Such equilibria are part of a branch of math called game theory—"
The Wlodarski et al 2015 work adds some scientific clarity for understanding the nature of the "Tyranny of the Commons" problem for climate change; as "Climate Cads" (CCs), with a high tolerance for risk for emitting GHG, constitutes about 53 to 57% of the general population; while "Climate Dads" (CDs), who prefer to husband the Earth's Systems for the benefit of future generations, constitutes only 43 to 47% of the general population. Furthermore, when "CDs" work towards a relatively stable society (such as now), "CCs" benefit and become more numerous; while when climate change eventually destabilizes society "CDs" will become more valuable and for some generations to come may out-number "CCs".
Wlodarski et al 2015's work adds perspective on why society pressures scientists (who may have a higher percentage of Dads than society-at-large) to set a relatively high/risky limit of 2 C; as due to thermal inertia in the Earth Systems "Climate Cads" can inappropriately advocate that they have emitted GHG for decades without any consequences, while "Climate Dads" have been overly cautious when they advocate for a lower limit. Due to such uncertainties (as cited by the "CCs") it is not possible to definitively predict how much damage would result from temperature rises projected by AR5 (putting aside the concern that these projections may well be too low); thus "CCs" have pressured the IPCC to set higher limits as "CCs" are in the voting majority and they have high risk-tolerance.
However, the central claim of the Weitzman's 2009a paper is that the probability distribution of potential losses from global warming is “fat-tailed,” or includes high enough odds of very large amounts of warming, that Weitzman argues that there is a one percent chance of temperature increase equal to, or greater than, 20 C over the next two centuries (i.e. by 2200). The IPCC's, AR4 and AR5, probability distributions for potential warming include no measurable probability for warming anywhere near this level for any considered radiative forcing scenario, and most authorities are not prepared to start considering such extreme scenarios for planning purposes.
Furthermore, Weitzman 2010 states: "The issue of how to deal with deep structural uncertainties of climate change would be completely different and immensely simpler if systemic inertias, such as the time required for the system to naturally remove extra atmospheric CO2, were short, as is the case for many airborne pollutants like sulfur dioxide, nitrous oxides, and particulates. An important component of an optimal strategy might be along the lines of "wait and see." With strong reversibility, an optimal climate change policy would logically involve (among other elements) waiting to learn how far out on the bad fat tail the planet will end up, followed by midcourse corrections if we seem to be headed for a disaster. Alas, the problem of climate change seems bedeviled at almost every turn by significant stock-accumulation inertias ---- in atmospheric CO2, in the absorption of heat or CO2 by the oceans, and in many other relevant physical and biological processes ---- that are slow to respond to attempts at reversal.
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Qualitatively, fat tails favor more aggressive policies to lower GHGs than "standard" BCA (Benefit Cost Analysis). Alas, the quantitative implications are less clear. As this article has stressed, the natural consequence of fat-tailed uncertainty should be to make economists less confident about climate change BCA and to make them adopt a more modest tone that befits less robust policy advice. My own conclusion is that the sheer magnitude of the deep structural uncertainties concerning catastrophic outcomes, and the way we express this in our models, is likely to influence plausible application of BCA to the economics of climate change for the foreseeable future."
Also Weitzman (2014) states: "A fat tail for rare disasters has the potential to dominate economic calculations like the SCC (Social Cost of Carbon). Therefore, analysis of a situation that might potentially be catastrophic cannot afford to ignore tail behavior. It is not enough in such situations to look just at measures of central tendency or even just at thin-tailed probability distributions. Ignorance of the potential fatness of an extreme bad tail is not an excuse for ignoring the potential fatness of an extreme bad tail. This warning is the main message of the “dismal theorem.”"
Weitzman, M., (2007), "The Stern Review of the economics of climate change", Journal of Economic Literature, 45, pp. 703-724.
Weitzman, M., (2009a), "On Modeling and Interpreting the Economics of Catastrophic Climate Change," Review of Economics and Statistics, 91, pp. 1-19.
Weitzman, M., (2009b), "Additive damages, fat-tailed climate dynamics, and uncertain discounting"; Economics - The Open-Access, Open-Assessment E-Journal, 3, pp. 1-29.
Weitzman, M., (2010), "Risk-Adjusted Gamma Discounting"; Journal of Environmental Economics and Management, 60, pp. 1-13.
Weitzman, M. L. (2014) "Fat Tails and the Social Cost of Carbon", American Economic Review, 104(5): 544-46, DOI: 10.1257/aer.104.5.544
https://www.aeaweb.org/articles.php?doi=10.1257/aer.104.5.544http://scholar.harvard.edu/files/weitzman/files/aer.104.5.544fattailsandthesocialcostofcarbon.pdfAbstract: "At high enough greenhouse gas concentrations, climate change might conceivably cause catastrophic damages with small but non-negligible probabilities. If the bad tail of climate damages is sufficiently fat, and if the coefficient of relative risk aversion is greater than one, the catastrophe-reducing insurance aspect of mitigation investments could in theory have a strong influence on raising the social cost of carbon. In this paper I exposit the influence of fat tails on climate change economics in a simple stark formulation focused on the social cost of carbon. I then attempt to place the basic underlying issues within a balanced perspective."
Thus it appears that WGI & WGII have erred on the side of least error when estimating the probabilities of occurrence for fat-tailed climate change PDFs (if for no other reason but that they ignore the influence of "CCs"), and also the impacts of such "fat-tailed" PDFs by either ignoring the tail effect or by so heavily discounting such future possibilities as to effectively ignore this fat-tailed risk, which Weitzman proves should actually dominate economic calculations (thus the IPCC cannot say that at least some economists did not warn them of the actual societal risks). In my next post I plan to discuss how such "conservative" (i.e. societally risky) guidance from the IPCC could actually be misguiding policy makers and could actually be serving to increase the probabilities of societal collapse due to climate stress.
Edit: Note that Weitzman only evaluates Black Swan types of tail risk and not Dragon King types of tail risk.
Second Edit: For those who are willing to buy a book you may want to consider buying "Climate Shock" By Gernot Wagner & Martin L. Weitzman, 2015.
http://gwagner.com/books/climate-shock/