Abstract Traditional probabilistic methods for the simulation of advection-diffusion equations (ADEs) often overlook entropic contribution discretization, e.g., number particles, within associated numerical methods. Many times, gain in accuracy a highly discretized model is outweighed by its computational costs or noise data. We address question how many particles are needed to best approximate...