In [2] I have presented a sketch of a principle which I suggested was powerful enough to enable us with its aid to solve a number of well known problems in the philosophy of science. James Moor in [1] expresses the opinion that my principle is too strong so as to be destructive and proposes instead a considerably watered down alternative which may be used for constructive purposes only. I shall deal here with his two major objections only and show (...) that on a careful enough analysis it becomes evident that he has not raised any difficulties for my principle. (shrink)

After presenting the major objections raised against standard formulations of the H-D method of theory testing, I identify what seems to be an important element of truth underlying the method. I then draw upon this element in an effort to develop a plausible formulation of the H-D method which avoids the various objections.

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Reichenbach held that all scientific inference reduces, via probability calculus, to induction, and he held that induction can be justified. He sees scientific knowledge in a practical context and insists that any rational assessment of actions requires a justification of induction. Gaps remain in his justifying argument; for we can not hope to prove that induction will succeed if success is possible. However, there are good prospects for completing a justification of essentially the kind he sought by showing that while (...) induction may succeed, no alternative is a rational way of trying.Reichenbach's claim that probability calculus, especially via Bayes' Theorem, can help to exhibit the structure of inference to theories is a valuable insight. However, his thesis that the weighting of all hypotheses rests only on frequency data is too restrictive, especially given his scientific realism. Other empirical factors are relevant. Any satisfactory account of scientific inference must be deeply indebted to Reichenbach's foundation work. (shrink)