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              92                 THE PRACTICE OF INNOVATION

              of old technologies: the public-health nurse; placing the latrine below
              the well; vaccination; the wire screen outside the window; and, of
              very new technologies, antibiotics and pesticides such as DDT. Yet it
              was totally unpredictable. And what explains the “baby boom” or the
              “baby  bust”? What  explains  the  sudden  rush  of American  women
              (and of European women as well, though with a lag of a few years)
              into the labor force? And what explains the rush into the slums of
              Latin-American cities?
                 Demographic shifts in this century may be inherently unpredictable,
              yet they do have long lead times before impact, and lead times, more-
              over, which are predictable. It will be five years before newborn babies
              become  kindergarten  pupils  and  need  classrooms,  playgrounds,  and
              teachers. It will be fifteen years before they become important as cus-
              tomers, and nineteen to twenty years before they join the labor force as
              adults. Populations in Latin America began to grow quite rapidly as
              soon as infant mortality began to drop. Still the babies who did not die
              did not become schoolchildren for five or six years, nor adolescents
              looking for work for fifteen or sixteen years. And it takes at least ten
              years—usually fifteen—before any change in educational attainments
              translates itself into labor force composition and available skills.
                 What makes demographics such a rewarding opportunity for the
              entrepreneur  is  precisely  its  neglect  by  decision  makers,  whether
              businessmen,  public-service  staffs,  or  governmental  policymakers.
              They still cling to the assumption that demographics do not change—
              or do not change fast. Indeed, they reject even the plainest evidence
              of demographic changes. Here are some fairly typical examples.
                 By 1970, it had become crystal clear that the number of children
              in America’s schools was going to be 25 to 30 percent lower than it
              had been in the 1960s, for ten or fifteen years at least. After all, chil-
              dren  entering  kindergarten  in  1970  have  to  be  alive  no  later  than
              1965, and the “baby bust” was well established beyond possibility of
              rapid reversal by that year. Yet the schools of education in American
              universities flatly refused to accept this. They considered it a law of
              nature, it seems, that the number of children of school age must go up
              year after year. And so they stepped up their efforts to recruit stu-
              dents, causing substantial unemployment for graduates a few years
              later, severe pressure on teachers’ salaries, and massive closings of
              schools of education.
                 And here are two examples from my own experience. In 1957, I
              published a forecast that there would be ten to twelve million college
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