Another key issue is the interpretation of probability in statistical mechanics, which is primarily concerned with the question of whether probabilities in statistical mechanics are epistemic, reflecting our lack of knowledge about the precise microstate of a system, or ontic, representing an objective feature of the physical world. The epistemic interpretation, also known as the subjective or Bayesian view, holds that probabilities in statistical mechanics are a measure of our ignorance about the exact state of a system. According to this view, we resort to probabilistic descriptions only due to the practical impossibility of knowing the precise properties of all its micro-constituents, like the positions and momenta of particles. As such, the probabilities are not objective features of the world but rather arise from our ignorance. In contrast, the ontic interpretation, also called the objective or frequentist view, asserts that probabilities in statistical mechanics are real, physical properties of the system itself. Proponents of this view argue that the probabilistic nature of statistical mechanics is not merely a reflection of our ignorance but an intrinsic feature of the physical world, and that even if we had complete knowledge of the microstate of a system, the macroscopic behavior would still be best described by probabilistic laws.