Pronunciation time probability density and hazard functions from large speeded wordnaming data sets were assessed for empirical patterns consistent with multiplicative andreciprocal feedback dynamics—interaction dominant dynamics. Lognormal and inversepower-law distributions are associated with multiplicative and interdependent dynamicsin many natural systems. Mixtures of lognormal and inverse power-law distributionsoffered better descriptions of the participant’s distributions than the ex-Gaussian or ex-Wald—alternatives corresponding to additive, superposed, component processes. Theevidence for interaction dominant dynamics suggests fundamental links between theobserved coordinative synergies that support speech production and the shapes ofpronunciation time distributions.