The work presented here puts forward a fractal aspect of natural growt
h. The S-shaped pattern of a logistic function is analyzed in terms of
several constituent logistic functions. The approach sheds light on t
wo familiar phenomena: the undulatory evolution of growth, which gives
rise to an alternation between high- and low-growth periods, and the
increasingly noticeable shrinking life cycle of products. There are so
me economic and political implications for the European nations. A qua
ntitative example is given for computer sales from Digital Equipment C
orporation. The approach is further generalized to suggest that any gr
owth process can be analyzed in terms of natural-growth subprocesses.
Applied to human growth this analysis yields precise definitions for t
he timing of transitions such as babyhood to childhood, and childhood
to adolescence.