 The magnitude and frequency of flooding has been increasing over the past few decades, but it remains unclear whether this increase is caused by climate change or other factors. Many studies have been conducted to detect these changes, but most lack a solid foundation for attributing them to specific causes. To address this issue, we propose a hypothesis testing framework for flood trend attribution. This framework includes three key elements, evidence of consistency, evidence of inconsistency, and a confidence statement. Additionally, we evaluated existing approaches to flood trend attribution and found that most studies rely heavily on qualitative reasoning or speculation. We believe that this approach needs to be improved upon, and that a more scientifically rigorous methodology is needed to better understand the causes of flood trends. This article was authored by Wyandeka, J. Delgado, S. Olman, and others.