2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/173036A large variety of problems in statistical physics use a Gaussian distribution as a starting point. For the problem of intermittency in fluid turbulence, the Gaussian approximation is not a useful beginning. We find that the Cramer's rate function in the theory of large deviations as used in a simple coin toss is a promising starting point for giving an account of intermittency. In addition, it offers another view of Jarzynski equality.Statistical MechanicsIs Turbulence as Simple as Tossing a Coin?text