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Good Business_ Leadership, Flow, and the Making of Meaning - Mihaly Csikszentmihalyi [87]

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that would otherwise be unimaginable.” This concentration is made possible by “rules that limit both the nature of acceptable solutions and the steps by which they are obtained.” And, Kuhn claims, a scientist engaged in “normal” science is not motivated by the hope of transforming knowledge, or finding truth, or improving the conditions of life. Instead, “what then challenges him is the conviction that, if only he is skillful enough, he will succeed in solving a puzzle that no one before has solved or solved so well.” He also states, “The fascination of the normal research paradigm…[is that] though its outcome can be anticipated…the way to achieve that outcome remains very much in doubt…. The man who succeeds proves himself an expert puzzle-solver, and the challenge of the puzzle is an important part of what usually drives him on.” It is no wonder that scientists often feel like P. A. M. Dirac, the physicist who described the development of quantum mechanics in the 1920s by saying, “It was a game, a very interesting game one could play.” Kuhn’s description of the appeal of science clearly resembles reports describing why riddling, or rock climbing, or sailing, or chess, or any other flow activity is rewarding.

If “normal” scientists are motivated in their work by the challenging intellectual puzzles they confront in their work, “revolutionary” scientists—the ones who break away from existing theoretical paradigms to forge new ones—are even more driven by enjoyment. A lovely example concerns Subrahhmanyan Chandrasekhar, the astrophysicist whose life has already acquired mythical dimensions. When he left India as a young man in 1933, on a slow boat from Calcutta to England, he wrote out a model of stellar evolution that with time became the basis of the theory of black holes. But his ideas were so strange that for a long time they were not accepted by the scientific community. He eventually was hired by the University of Chicago, where he continued his studies in relative obscurity. There is one anecdote told about him that best typifies his commitment to his work. In the 1950s Chandrasekhar was staying in Williams Bay, Wisconsin, where the main astronomical observatory of the university is located, about eighty miles away from the main campus. That winter he was scheduled to teach one advanced seminar in astrophysics. Only two students signed up for it, and Chandrasekhar was expected to cancel the seminar, rather than go through the inconvenience of commuting. But he did not, and instead drove back to Chicago twice a week, along back-country roads, to teach the class. A few years later first one, then the other of those two former students won the Nobel prize for physics. Whenever this story used to be told, the narrator concluded with sympathetic regrets that it was a shame the professor himself never won the prize. That regret is no longer necessary, because in 1983 Chandrasekhar himself was awarded the Nobel for physics.

It is often under such unassuming circumstances, with people dedicated to playing with ideas, that breakthroughs in the way we think occur. One of the most glamorous discoveries of the last few years involves the theory of superconductivity. Two of the protagonists, K. Alex Muller and J. Georg Bednorz, worked out the principles and the first experiments in the IBM laboratory in Zurich, Switzerland, not exactly a scientific backwater, but not one of its hot spots, either. For several years the researchers did not let anyone else in on their work, not because they were afraid it would be stolen, but because they were afraid that their colleagues would laugh at their seemingly crazy ideas. They received their Nobel prizes for physics in 1987. Susumu Tonegawa, who that same year received the Nobel prize for biology, was described by his wife as a “going-his-own-way kind of a person” who likes sumo wrestling because it takes individual effort and not team performance to win in that sport, just as in his own work. Clearly the necessity of sophisticated laboratories and enormous research teams has been somewhat

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