Yoshiki Wakamatsu

Abstract In political philosophy, reflective equilibrium is a standard method used to systematically reconcile intuitive judgments with theoretical principles. In this paper, we propose that survey experiments and a model selection method—i.e., the Akaike Information Criterion (AIC)-based model selection method—can be viewed together as a methodological means of satisfying the epistemic desiderata implicit in reflective equilibrium. To show this, we conduct a survey experiment on two theories of distributive justice, prioritarianism and sufficientarianism. Our experimental test case and AIC-based model selection method demonstrate that the refined sufficientarian principle, a widely accepted principle of distributive justice, is no more plausible than the prioritarian principle. This tells us that some changes of certain intuitions revolving around sufficientarianism should be examined (separately) based on the findings of the survey experiment and AIC model selection. This shows the potential of our approach—both practically and methodologically—as a novel way of applying reflective equilibrium in political philosophy.

Abstract The trolley problem is a classic thought experiment that evokes an ethical dilemma. Thomson’s “bystander” and “footbridge” versions of the trolley problem induce different intuitive judgments about what to choose in the ethical dilemma. However, it can be questioned how robust these intuitive judgments are. Hence, an online survey experiment of Thomson’s versions of the trolley problem was conducted. The experiment showed that more respondents tended to choose not pulling the lever in the bystander version and pushing a person off the bridge in the footbridge version when they believed they were not being watched. These results illustrate that people’s decisions deviate from the social norms in the absence of the public’s attention. To activate the practice of holding the manufacturers to a normative expectation based on the social norms, we suggest the law must be changed.