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The real purpose of collecting big data is to identify causality
in the hope that this will facilitate credible predictivity . But the search
for causality can trap one into infinite regress, and thus one takes refuge in
seeking associations between variables in data sets. Regrettably, the mere
knowledge of associations does not enable predictivity. Associations need to
be embedded within the framework of probability calculus to make coherent
predictions. This is so because associations are a feature...
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