The future of climate change is a wicked problem for resource prioritisation. How do we couple climate and multi-risk information with egalitarian distributive justice? The Intergovernmental Panel on Climate Change (IPCC) considers that multi-criteria decision analysis (MCDA) can help. We use stochastic multi-attribute analysis (SMAA), a variant of MCDA, to prioritise funding allocations for 26 fragile countries with a humanitarian response plan under an era of climatic losses and damages (l&d). The SMAA combines field data from the crisis-measuring INFORM Severity and stakeholder preference information from the United Nations, European Union, World Bank, research and public sectors, and civil society. Our analysis primarily agrees with current humanitarian funding. Still, countries such as the Democratic Republic of the Congo, Nigeria and Myanmar are disproportionately underfunded, while Ukraine and Syria receive undue support. An equitable coupling is actionable – yet questions on how far to pragmatically attribute l&d for adequate financing arise.