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Published online by Cambridge University Press: 14 March 2022
Scientific data are often subjected to two contradictory over-simplifications. People who have no personal experience in science often say that a certain idea has been scientifically established and feel that the question is therewith settled. They do not distinguish among methods, or generalizations in different fields. This implies that all science is infallible. The other oversimplification comes from the specialist; he may dismiss the work of men who study the problems approaching his own but who use methods different from his. This view implies that only one type of scientific investigation is really sound. Both groups are wrong, for science is neither infallible nor wholly untrustworthy. In fact, science as an abstract whole is nothing; it is the name given collectively to all methods which men have used to explore natural processes and the results obtained by the use of such methods. Some problems are sufficiently simple and accessible to be explored in detail while others can be treated only after a set of postulates have been set as a starting point. A mechanism must be established within which it is possible to deal with the problems at hand. In other words, there are levels of scientific research which may be arranged in a series based on increasing assumptions. The more complex levels are formed by assuming the data and methods of those simpler and adding to them a new set of assumptions with the aid of which it is possible to treat the phenomena to be studied. Material cannot be carried directly from one level to another unless attention is given to the premises on which the conclusions have been drawn. Since such attention is not always given, entire fields of research have sometimes been brought into suspicion on the part of those working in what they themselves style “a more fundamental field.” Yet there may be data available at a different level which, when properly used, would be of value in their own work.