From: Osher Doctorow on
From Osher Doctorow

Most readers are aware that Born's Probabilistic Interpretation:

1) ww* = P(finding particle in a volume of space) where w =
Schrodinger's wave function

is a Probability, but the same is true of Heisenberg's Uncertainty
Principle (HUP), for the simple reason that:

2) "Uncertainty" is measured as a variance or standard deviation,
which does not exist without a Probability Distribution - in simple
language, without a Probability.

Regarding (2), an introductory college course in Probability makes
explicit the fact that Random Variables have Probabilities associated
with them, and that the Probabilities in turn when graphed have
Measures of Central Tendency (Means, Medians, and/or Modes) and
Measures of Variation (Standard Deviations, Variances, or similar
measures). It might be argued that for continuous Random Variables,
Probability Densities are not the same as Probabilities because they
sometimes exceed 1, but continuous Random Variables are equally
characterized by Cumulative Distribution Functions (cdfs) which ARE
Probabilities because the cdf is FX(x) = P(X < = x) for random
variable X and value x.

Thus, the problem of Conditional Probability and Probable Causation/
Influence (PI) yielding often "opposite" results is immediately a
difficulty in anything that involves either Born's Probabilistic
Interpretation or Heisenberg's HUP. This provides further
indications for the claims in the last few posts that Quantum
Mechanics is plagued by defects and involves hidden assumptions (and
ignoring alternatives!) not specified overtly in its Axioms and
definitions.

Osher Doctorow