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PREDICTIONS – 10 Years Later - Santa Fe Institute

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3. INANIMATE PRODUCTION LIKE ANIMATE REPRODUCTION<br />

In fact, in addition to my daughter’s measurements, the card of the<br />

school nurse had curves already traced out through an accumulation of<br />

statistical data for girls of this region over many years. These curves<br />

looked like the upper half of S-curves. My daughter’s data points fell<br />

systematically on the curve, the final height of which was five feet and<br />

six inches at around sixteen years of age.<br />

Ten <strong>Years</strong> <strong>Later</strong><br />

My daughter’s final height turned out to be five feet ten<br />

inches. It proved both forecasts inaccurate but it is more embarrassing<br />

for the school’s approach than mine. After all, my<br />

forecast was within the error!<br />

Fitting growth curves to measurements of children’s height may not<br />

be the recommended approach for determining their final size. More<br />

accurate methods exist which are based on the fact that children have<br />

been amply observed and measured while growing, and by now there is<br />

a wealth of tables and curves that point to the final height with satisfactory<br />

accuracy.<br />

There may be organisms, however, which grow for the first time in<br />

history so that no record can be consulted on how it happened before. In<br />

such cases, forecasts are useful in spite of significant uncertainties. Let<br />

us consider the great American railway network as an example of a oneof-a-kind<br />

“organism.” Should its growth follow the familiar pattern of a<br />

population? Is its final size predictable?<br />

The answer can be found in Alfred J. Lotka’s Elements of Physical<br />

Biology, published in 1925, at a time when railways were still the primary<br />

means of transportation. 4 Lotka presents a graph of the total<br />

mileage of railway tracks in the United States from the beginning of<br />

railway history until 1918, when mileage had reached 280,000. Despite<br />

not having computers at that time, he superimposes on the data a theoretical<br />

S-curve that passes very closely to all points and shows a 93<br />

percent saturation of the U.S. railway “niche” by 1918, and a ceiling for<br />

a total mileage of about 300,000. I looked up the amount of railway<br />

track laid since 1918; it is about <strong>10</strong>,000 miles, which largely confirms<br />

70

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