Dear Lawrence
[I have sent this post to both our threads.]
Thank you very much for your reply. Making and breaking of space metrics are a minor part of my essay (pages 3 and 5). My employment background includes making metrics for examination scores using Rasch pairs analysis [fortunately I never encountered FQXI-style 1-bombing ratings there]. Obviously trying to make a connection between psychometric metrics and the spacetime metrics of BH hairs is a long and tenuous stretch. I have followed all of Susskind's online "theoretical minimum" courses including SR, GR and cosmology which includes BHs but only the starting point basics. I have read your reply but will need to work at it extensively to follow it. I still have some points though which you might kindly clarify.
You mention the Raamsdonk equivalence between entanglement and spacetime:that equivalence sounds somewhat similar in aim to an idea I wrote in sci.physics .foundations in 2011.
".... two entangled binary spins of electrons with random total spin, but perfectly correlated within the pair, seems a little like looking at the raw data for a rasch [pairs] analysis. ... Surely the binary spin data can't be the raw decisions which determine the emergent space [?]..."
https://groups.google.com/forum/#!msg/sci.physics.foundations/UIpgAj43QXg/lmXQajBksZUJ
I tried the idea in a Rasch pairs analysis soon afterwards and reported it in my 2016 paper at http://vixra.org/abs/1609.0329
where I was trying to see if I could compress the emergent space metric [arising from a Rasch pairs analysis] near a large 'mass': it seemed to work OK. Alas, the paper is not aimed at physics and has hardly any discussion. I need to re-write it to discus GR and CCC physics.
For examinations one often has two metrics which one needs to link together, such as for two parallel alternative tests. They need to be linked for comparability of grading outcomes. One way is to put a small amount of overlapping data in both of the alternative tests.
In the BH context this amounts to having pairs of entangled particles in both spaces simultaneously i.e. both inside and outside the BH simultaneously. But both entangled particles need to be in both spaces. I cannot simulate, in a Rasch pairs analysis, the use of only half of one pair in one metric. So I suspect that it may be impossible in general to use entangled pairs to make a metric when the two single particles, of an entangled pair, are in different spaces.
At a Penrose CCC node, all the stuff in the universe is in the form of photons in a single state at almost infinite wavelengths. The metric breaks down at the node in his model and I agree with that. But the stuff in the photons continues to exist even though the metric has gone. So a broken metric does not imply destruction of the 'stuff' in the old metric.
Page time etc is all new to me, but I am familiar with a metric breaking down gradually (your library books analogy). I suggested in my essay that the breakdown of the space metric may occur gradually before the CCC node is reached. The metrics I produced in my 2016 paper (ref above) show that, in special circumstances, some pairs of data do not get included in the metric. And sometimes the metric fails completely to plot any data. And I agree that this is connected to a sort of Heisenburg uncertainty. But in my psychometric area the problem is referred to as the problem of Guttman data. Guttman data kills metrics. And Guttman data is data with zero uncertainty.
As an example one could use Rasch pairs analysis to construct a metric for ratings in this contest. One datum point is where essay A is deemed to be better than essay B. Deemed, that is, by contestant C. Repeat for all pairs of essays and all contestants as raters. The metric would be most compressed if all the ratings of 'better' or 'worse' were at random. Corresponding to large uncertainty. But on the other hand, if every rater put the scripts is the same order of merit as every other rater than the analysis would collapse because there was no error in the system: corresponding to Guttman data and zero uncertainty. This is a nice explanation for the need for the existence of uncertainty as we would not be placed in our space metric without it.