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PREDICTIONS – 10 Years Later - Santa Fe Institute

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<strong>10</strong>. IF I CAN, I WANT<br />

to sustain one trillion people on the earth without exhausting any basic<br />

resource. If his calculations are right, we should expect this to happen<br />

sometime in the future unless, of course, we encounter unnatural conditions,<br />

such as a nuclear war or a collision with an asteroid. But no one<br />

today would seriously admit of such a possibility. On the contrary, respected<br />

contemporary studies concentrate on forecasting the date the<br />

earth’s population will begin to decline, as if the niche were already<br />

filled to capacity.<br />

In order to accommodate one trillion people on the earth we need a<br />

number of technologies that we don’t have yet, such as the technology<br />

for harvesting large fractions of the sunlight falling on the earth, the materials<br />

for constructing vertical cities, and the processes for massively<br />

producing healthy staple food. But here again, such technologies seem<br />

plausible, and if they can be acquired, they will be acquired some time<br />

in the future. At that point in time, the earth’s population will be able to<br />

grow, and so it will. A trillion people on the earth may not be pure<br />

fantasy.<br />

The law of natural growth in competition and the S-shaped pattern associated<br />

with it are far more universal than originally thought. Even noncompetitive<br />

human behavior, which at first glance seems completely<br />

unrelated to natural growth, demonstrates links to it when closely examined.<br />

Tourism, for example, has no life cycle associated with it; its<br />

fluctuations are of a purely statistical nature. But tourism has its origin<br />

in the law that says if I can do something, I want to do it; the same law<br />

that makes S-curves proceed to completion. Statistical fluctuations are<br />

an inseparable feature of repeated measurements. They are chaotic and<br />

belong to no regular pattern. But one encounters similar chaotic fluctuations<br />

during the early and late phases of a real-life S-curve. During the<br />

phase of the steep rise, fluctuations play a secondary role; the limelight<br />

in this period is on the steady rise of the growth pattern, which, unlike<br />

the fluctuations, is predictable.<br />

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