  A very simple example demonstrates that Fisher's application of the
conditionality principle to regression ("fixed $x$ regression"), endorsed by
Sprott and many other followers, makes prediction impossible in the context of
statistical learning theory. On the other hand, relaxing the requirement of
conditionality makes it possible via, e.g., conformal prediction.
