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PREDICTIONS – 10 Years Later - Santa Fe Institute

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6. A HARD FACT OF LIFE<br />

Cases of competitive one-to-one natural substitutions abound. Nebojsa<br />

Nakicenovic has studied technological substitutions and has come up<br />

with many examples that fit the straight-line description. The longest<br />

one is between two broad categories of primary energy sources: traditional<br />

and commercial. In the traditional energy sources category<br />

Nakicenovic put fuel wood, water and wind power (mills, waterfalls,<br />

and so forth), and the output from work animals as measured by the energy<br />

content of the food consumed. In the commercial energy sources<br />

he included coal, crude oil, natural gas, hydroelectric, and nuclear energy.<br />

Nakicenovic obtained a good straight-line description for the substitution<br />

of traditional energy sources by commercial ones (Appendix C,<br />

Figure 6.2). Ninety percent of US energy needs were met by traditional<br />

sources in 1850, but close to 1 percent in 1980. This decline has been a<br />

natural process. The dependence on commercial energy would trace out<br />

an almost complete S-curve if graphed on a linear scale. Occasional<br />

short-term deviations from the straight line can be rationalized—for example—the<br />

short-term comeback of traditional sources during the<br />

Depression.<br />

There are many competitive substitutions that proceeded naturally in<br />

the automotive industry. Cars were introduced with open bodies, and it<br />

took close to thirty years for 90 percent of them to be enclosed. More<br />

recently and at a faster pace—ten years—disk brakes replaced drum<br />

brakes, and radial tires replaced diagonal ones. Similarly, power steering<br />

and unleaded gasoline took over from their predecessors.<br />

Natural substitutions are responsible for most popular trends and<br />

would trace a straight line on a logarithmic scale. Consider the American<br />

workforce, for example. Among the megatrends of today is the<br />

growth in the information content of jobs and in the increasing role of<br />

women. With data from the Bureau of Labor Statistics and through my<br />

analysis I found straight lines for the historical evolution of the respective<br />

percentages. The extrapolations of these lines quantified the trends<br />

until the end of the twentieth century. Projections obtained in this way<br />

should be rather reliable because they follow the natural-growth path of<br />

the process (Appendix C, Figure 6.3).<br />

Noninformation workers are manual laborers in service occupations,<br />

manufacturing and repair, construction, farming forestry, and fishing.<br />

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