Savje (2023) recommends misspecified exposure effects as a way to avoid strong assumptions about interference when analyzing the results of an experiment. In this discussion, we highlight a key limitation of Savje's recommendation. Exposure effects are not generally useful for evaluating social policies without the strong assumptions that Savje seeks to avoid. Our discussion is organized as follows. Section 2 summarizes our position, section 3 provides a concrete example, and section 4 concludes. Proof of claims are in an appendix.

翻译：萨维耶（Savje，2023）建议采用错误设定的暴露效应，以在分析实验结果时避免关于干扰的强假设。本文指出萨维耶建议的一个关键局限性：在缺乏萨维耶试图规避的那些强假设时，暴露效应通常无法有效用于评估社会政策。我们的讨论组织如下：第2节概述核心观点，第3节给出具体案例，第4节总结结论。各项主张的证明见附录。