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Reconstructing Risk–Risk Analysis to Support Effective Governance of High-Risk Climate Interventions

Published online by Cambridge University Press:  03 July 2025

Duncan P. McLaren*
Affiliation:
Independent Researcher
Rights & Permissions [Opens in a new window]

Abstract

Research into solar radiation modification (SRM) offers tentative hope of averting some of the risks of otherwise unavoidable climate change. Yet such technologies come with novel risks. Risk–risk, or risk trade-off analysis has been proposed as a governance tool to evaluate the desirability of development of such potential climate interventions, but most references to such analysis appear primarily as rhetorical efforts to argue for continued SRM research. A detailed review of the leading methodological proposal reveals serious practical and ethical shortcomings arising in both the framing and current methodologies of risk-risk analysis. Methodological inconsistencies and asymmetries are identified, and related to underlying political and ideological presumptions rooted in modernist technocratic social imaginaries. The shortcomings mean ethical questions are not resolved, interaction effects between possible responses are downplayed and other potential exceptional responses ignored. Rather than identifying possible risk-superior pathways, in this case risk-tradeoff analysis – embedded in a technocratic risk management repertoire – seems likely to encourage excessive reliance on SRM. While methodological improvements could be made to risk–risk analysis approaches, effective future governance urgently needs a novel, genuinely precautionary, risk management repertoire that would help humanity live with uncertainty, support meaningful action to avoid worst-case outcomes, and reflect an ethics of care.

Information

Type
Articles
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Figure 1. Simplified process flow of RRA / RTA.Source: Author, based on descriptions in Felgenhauer et al. (note 21) and Graham & Wiener (note 22).

Figure 1

Table 1. Decision points at which RRA / RTA might help

Figure 2

Figure 2. Understanding residual risk.

Figure 3

Figure 3. Incorporating interaction into RRA.

Figure 4

Figure 4. Reflexive and participatory RRA.