NLT is before a spiral before spirals which is before Algorithm Universe Theory so its basically 3 generations behind what I am doing now. I have written and complained about this so I think someone is just messing with me.
I really need to go back and read that book and see if there is some reason for people to buy outdated copy.
Now before I get to the latest audio I want to revisit the captured force idea with the 1 to -1 256:27 ratio embodied within the comparison of sinpi-1 to sinpi1.
Even though this is interesting and instructive, the post before the last post continues to be the one I consider most important of recent and while the audio for that is still being updated, it brings together all the features of AuT under the dilation umbrella.
I am a day closer to publishing the audio book which will be named algorithm universe theory overview, the non standard model. catchy?
The reason for the captured time could be to substitute for the othewise destablized building and unbuilding ct2 states. That the hinge is 3^3 and unbalanced to the otherwise balanced ct2 information arms gives an inflection point for the hinge, a charge which can be positive or negative with near equal likelihood and otherwise would encourage between opposite charges a type of binding force to encourage further unbalanced compression.
You can even have 3^n-1 of these intermediary states or 27 times the number of ct2 states embodied within and you may have an f(n) feature, here f(n)+1^n-1 by way of example for the ct2 state. This quantity of trapped information could then be a part of the hinge mechanism giving rise to higher compression states and their effective charge.
This is important as an underlying feature of gravity and the subequent forces which are discussed in the audio below. I may, just may, post the next "list" video this week on you tube.
https://soundcloud.com/greg-friedlander/listgravityvsforce
Gravity appears to occur the same way as other forces, but because you begin with a non-dimensional state (ct1 space) its creation and destruction (loading and unloading of ct2 arms) is seen as
going dimensional.
Gravity appears to occur the same way as other forces, but because you begin with a non-dimensional state (ct1 space) its creation and destruction (loading and unloading of ct2 arms) is seen as “going dimensional.”
Gravity is derived from an fpix solution going to an f(x) solution, at ct1 folding/compressing to ct2
other forces are derived by the preserved solution of f(x)^2^x generating the difference in how two consecutive solutions are perceived and the length at which they are experienced as a ratio based on loading and unloading information arms
While gravitational ct1-ct2 compression goes to a more compressed state, it increases dimension, unlike the other forces which create or destroy higher compression because of how gravity combines to create the first fold, the first dimensional fold.
Like the other forces, when ct1 is released, space expands and when ct1 compresses photons are given a dimension. Because of the dimensional aspect, it can be seen two different ways, one expanding into a first dimension and one contracting into a first f(x) compression state.
Gravity is derived directly by fpluspix, while other forces are derived by the preserved solution of f(x)^2^x generating the difference in how the two are perceived and the length at which they are experienced (due to the non-dimensional nature of gravity’s derivation as ct0-ct1) despite the common origin.
The sums of memorized columns of fpix solutions
Gravity is shown as the post -1^x fpluspix positive or minus of -1,1,-2,3,-4 type movement
Book 4 p. 175 (2nd edition)
Book 2, p11-14 (2nd edition) -The range of forces is explained
The reason there is no unified field theory between Gravity and the other forces is merely because the underlying math is different, although it appears that the math of compression comes from the combination of different spatial results.
The spreadsheet above shows how fpix solutions can transform into f(x) type solutions where a secondary result added to a primary result yield the new result based on remembered values.
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