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<br />Comment
<br />
<br />We have read Professor Braham's article with much
<br />pleasure. Throughout his article and particularly in the
<br />final section, Professor Braham expresses concerns about
<br />a variety of statistical issues ranging from the appropriate
<br />weights for prior opinions (Bayesian inference) to the
<br />role of randomization and, as in the case of Whitetop, the
<br />ex post facto discovery of a "bad" randomization. These
<br />issues are important, fundamental, and, at least in our
<br />view, not easily resolved. The situation is further com-
<br />
<br />· R. Dennis Cook is Associate Professor and Director of the Sta-
<br />tistical Center, and Norton Holschuh is a graduate student, both at
<br />the Department of Applied Statistics, University of Minnesota, St.
<br />Paul, MN 55108. .
<br />
<br />
<br />
<br />plicated by the polarization of opinion stemming from
<br />apparently diametrically opposed experimental reswts.
<br />We ll.re in complete agreement with Professor Braham
<br />that weather modification provides a fertile and chal-
<br />lenging field for collaboration between meteorologists and
<br />statisticians; perhaps this article will stimulate some of
<br />them to meet the challenge.
<br />One issue that is central to a discussion of past and
<br />future weather modification experiments is the notion of
<br />experimental "proof." Under what conditions is it pos-
<br />sible to conclude that a mechanism for the inducement of
<br />a particular natural phenomenon is known? The thoughts
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