Detailed balance is a principle in statistical mechanics and thermodynamics stating that, at equilibrium, every microscopic process is matched by its reverse process, ensuring no net change in the system. This principle is crucial for understanding the dynamics of systems in equilibrium and is a foundational concept in the derivation of the Boltzmann distribution and the design of Markov Chain Monte Carlo algorithms.