We characterize the tails of the probability distribution functions for the solution of Burgers’ equation with Gaussian initial data and its derivatives ∂kv(x,t)/∂xk, k=0,1,2,... . The tails are ‘‘stretched exponentials’’ of the form P(θ)∝exp[−(Re)−ptqθr], where Re is the Reynolds number. The exponents p, q, and r depend on the initial spectrum as well as on the order of differentiation, k. These exact results are compared with those obtained using the mapping closure technique.