Economic evaluation of climate policy is notoriously dependent on assumptions about time and risk preferences, since reducing greenhouse gas emissions today has a highly uncertain payoff, far into the future. These assumptions have always been much debated. Rather than occupy a position in this debate, we take a non-parametric approach here, based on the concept of Time-Stochastic Dominance. Using an integrated assessment model, we apply Time-Stochastic Dominance analysis to climate change, asking are there global emissions abatement targets that everyone who shares a broad class of time and risk preferences would agree to prefer? Overall we find that even tough emissions targets would be chosen by almost everyone, barring those with arguably `extreme' preferences.