Stochastic differential equations enrich man's modelling capacity to an astonishing degree. To illustrate this in a familiar environment two applications of the stochastic growth equation are discussed. The first has a familiar deterministic analogue. The second uses a stochastic differential with a random number of contributing sub‐differentials. There is no deterministic analogue in this case. Both applications admit of closed form solutions in a tractable form.