Even small programming choices can lead to significant changes in results. Open-source code mitigates these risks by making the entire process visible, allowing other scientists to understand the nuances and make informed adjustments. Transparency is key in computational research, not just for ensuring rigor but for building a reliable foundation that drives the entire field forward.