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PREDICTIONS – 10 Years Later - Santa Fe Institute

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1. SCIENCE AND FORETELLING<br />

THE LAW OF NATURAL GROWTH<br />

The law describing natural growth has been put into mathematical equations<br />

called growth functions. The simplest mathematical function that<br />

produces an S-curve is called a logistic and is described in detail in Appendix<br />

A. It is derived from the law which states that the rate of growth<br />

is proportional to both the amount of growth already accomplished and<br />

the amount of growth remaining to be accomplished. If either one of<br />

these quantities is small, the rate of growth will be small. This is the<br />

case at the beginning and at the end of the process. The rate is greatest<br />

in the middle, where both the growth accomplished and the growth remaining<br />

are sizable. Furthermore, growth remaining to be accomplished<br />

implies a limit, a saturation level, a finite market size. This ceiling of<br />

growth is assumed to be constant throughout the growth process. Such<br />

an assumption is a good approximation to many natural-growth processes,<br />

for example, plant growth, in which the final height is genetically<br />

pre-coded.<br />

It is a remarkably simple and fundamental law. It has been used by<br />

biologists to describe the growth under competition of a species population,<br />

for example, the number of rabbits in a fenced off grass field. It<br />

has also been used in medicine to describe the diffusion of epidemic<br />

diseases. J. C. Fisher and R. H. Pry refer to the logistic function as a<br />

diffusion model and use it to quantify the spreading of new technologies<br />

into society. <strong>10</strong> One can immediately see how ideas or rumors may<br />

spread according to this law. Whether it is ideas, rumors, technologies,<br />

or diseases, the rate of new occurrences will always be proportional to<br />

how many people have it and to how many don’t yet have it.<br />

The analogy has also been pushed to include the competitive growth<br />

of inanimate populations such as the sales of a new successful product.<br />

In the early phases, sales go up in proportion to the number of units already<br />

sold. As the word spreads, each unit sold brings in more new<br />

customers. Sales grow exponentially. It is this early exponential growth<br />

which gives rise to the first bend of the S-curve. Business looks good.<br />

Growth is the same percentage every year, and hasty planners prepare<br />

their budgets that way. Growth, however, cannot be exponential. Explosions<br />

are exponential. Growth follows S-curves. It is proportional to the<br />

amount of the market niche still unfilled. As the niche fills up, growth<br />

slows down and goes into the second bend of the S-curve, the flattening<br />

39

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