Stochasticity is inherent in every facet of synthetic biology. If ignored completely, stochasticity can obscure results, lead to false negative phenotypes, or ruin a construct’s reliability. While a re-engineering of the transcriptional and translational machinery of prokaryotic and eukaryotic cells is not feasible, our knowledge of stochasticity is extensive enough to provide basic construction parameters for synthetic constructs. Applications of stochasticity range from explanation of population heterogeneity in a single colony to an understanding of the differentiation of stem cells. While much is still unknown, we have the tools to discover the ability to create synthetic biological networks using an engineering perspective.