This article underscores a critical vulnerability in modern scientific research: the reliance on poorly validated computational tools. The core issue isn’t just the prevalence of bugs—it’s the systemic lack of training in debugging and software best practices among scientists. The piece effectively highlights the tension between the exploratory nature of research and the need for rigor, a dynamic that mirrors broader challenges in reproducibility crises across disciplines. The strongest version ...