This algorithm explains how bone growth, modeling, and chronological age can affect the mean tissue age of compact bone and suggests how to measure and quantitate those effects. Since a given secondary osteon population density equals the mean annual number of new osteons being created, multiplied by the time over which those creations occur, and that time equals the mean tissue age of the compacta containing the osteons, quantitating age would allow removing its effects on osteon populations in order to study other influences on those populations. These other influences include local and systemic disease, genetics, nutrition, physical activity, occupation, biomechanics, chronological age, sex, and species. In a given bone cross section these influences affect the annual osteon creations rather than the time period over which those creations occur.Interest has developed in trying to understand some of the pathophysiological information inscribed in secondary osteon populations in compact bone (Bouvier and