Yes, the views are infinite on several axes, but that can be addressed 
simply by enumerating views at standard intervals on those axes. Or you 
could equally integrate over the continuous functions. 

Considered together simply means you plot the correlation each frame view 
(at the standard intervals as above) gives and see how they cluster. Which 
I'm pretty sure will be around my result.

You don't need to view the resulting graph from any frame as you seem to 
suggest, because the graph is OF the actual all frame view results.

For every frame you simply calculate the apparent lack of simultaneity 
between two events Nonsiimultaneity=(t1-t2) and plot it relative to the 
simultaneity that my method claims is actual.


On Wednesday, March 5, 2014 2:13:24 PM UTC-5, jessem wrote:
> On Wed, Mar 5, 2014 at 1:27 PM, Edgar L. Owen <<javascript:>
> > wrote:
> Jesse,
> Yes, you are right. I phrased it incorrectly.
> What I meant to say was not that each individual view was somehow 
> weighted, but that all views considered together would tend to cluster 
> around m
> ...

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