Long COVID affects tens of millions of people globally, yet its temporal experiences remain unexplored. This chapter analyses X/Twitter data using Lefebvre’s rhythmanalysis and builds on and extends Bury’s notion of ‘biographical disruption’ to reveal the complex lived experiences of time in Long COVID and how pacing and self-tracking contribute to these experiences. In doing so, we introduce the concept of ‘complex multi-dimensional polyrhythms’ to describe the ongoing biographical disruption and adaptation required by those affected. By focusing on temporal experiences, we highlight the need for policy attention to the politics of time and illness. Addressing the complex multi-dimensional polyrhythms of Long COVID in healthcare, public health, and social support systems is essential to mitigating its broader societal impacts.