The concept of 'digital twins' has gained traction in urban planning, referring to virtual replicas of physical cities that simulate real-time data from sensors and infrastructure. Proponents argue that these models enable predictive governance, allowing officials to test scenarios like flood responses or traffic flows without disrupting daily life. However, critics caution that reliance on such simulations may oversimplify complex social dynamics, as algorithms often prioritize quantifiable metrics over qualitative human experiences. Moreover, the accuracy of a digital twin depends heavily on data quality and coverage, which can be uneven in marginalized communities, potentially reinforcing existing inequalities. Thus, while digital twins offer promising tools for efficiency, their implementation requires careful ethical consideration and public oversight to avoid technocratic decision-making that excludes citizen voices.