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The Life Foundations
Nexus
TEXTUAL GEOMETRY: THE ENGINE OF TEXTUAL CALCULUS
AKA “LEAVING THE FOG BEHIND”
What good would all of our discoveries
and research do if no one could understand it?
The answer, of course, is no good at all or, at least, far less good
than is possible and necessary.
Therefore, when we saw early on that we were creating a complex
mathematical system THAT EVEN WE WERE HAVING TROUBLE UNDERSTANDING, we spent a
week praying about the matter. On the
seventh day, the Lord gave us the answer – GEOMETRY. Why geometry? Geometry is
PICTURES, pictures of lines, pictures of squares, pictures of rectangles,
pictures of triangles, pictures of circles, etc., etc., and, of course,
EVERYONE understands PICTURES. Having
established the foundational principle of utilizing PICTURES (GEOMETRIC
FIGURES) to represent data, we could now continue our work.
In our article on Probabilistic
Textual Induction And Inductive Textual Calculus (you can just take a look
at the animated graphic), we mentioned the notion of “textual rectangles.” What is a textual rectangle? A textual rectangle is “a picture (graphical
representation) of a set of subdata.”
What is “subdata”? (The singular for “subdata” is “subdatum,”
though the word “subdata” can be used as either singular or plural.) A subdatum (or subdata) is “an imaginary component
of a piece of data.” For example, the
number “1” is data. An imaginary piece
of the number “1,” a subdata of the number “1” is “h1.” “H1” is read “aach-one.” The “h” stands for “half.” Therefore, “h1” can also be read
“half-one.” What is h1? First, it is NOT half of the number 1; it is
not ½. Remember, h1 is an imaginary thing. It exists only in the human mind and in computers.
Is h1 half of ANYTHING? Yes but not in the physical sense of
half. We are not taking half of some
physical thing like a pie or a loaf of bread.
Think of it this way: you are
looking at a number “1” on the computer screen. Suddenly, the number leaves the screen and flies off into
space. You go chasing after it with a
flyswatter. You manage to swat it. In doing so, you split it in half. At that point, each half grows into a full
number “1.” Each of these new number
“1’s” is an h1. In other words, an h1
is “a child of the number ‘1.’” To be
more precise, an h1 is “a child of the number ‘1’ whose parents are the number
“1” and the concept of ‘halfness’ (the quality of being half of something).”
Whew, do you have a headache, too?
Well, why
do we need h1s…and h2s and h3s, etc., etc.?
When we look at the history of traditional biblical textual criticism we
see that macroscopic (overview) approaches to identifying the true text of the
Bible DO NOT WORK. Until we came along,
everyone thought that this was the only approach possible. Our approach is, if you will,
“submicroscopic.” Instead of
summarizing data, we split data apart.
Now, in order to do this, we needed imaginary entities of some
sort. (As we learned from the study of
“i,” “the square root of
negative one,” you can sometimes solve problems using imaginary entities [“i” is used in airplane and jet design]. A more common example of a useful, imaginary
entity is the geographical concept of the “equator.”)
So, to carry on a submicroscopic approach
to finding the true text of the Bible, we needed the help of imaginary
entities. These imaginary entities are
subdata and specific examples of subdata are “h1,” “h2,” and “h3.” Another class of subdata is based on the
concept of “quarterness.” This results
in “q1,” “q2,” “q3,” etc.
Now, how do we convert a verse written
in…say…ancient Greek into subdata? We
will explain this in terms of English.
What we have to say applies equally to ancient Greek OR ANY OTHER
LANGUAGE – PAST, PRESENT, OR FUTURE. We
will use John 3:16:
For God so loved the world, that he gave
his only begotten Son, that whosoever believeth in him should not perish, but
have everlasting life.
To simplify our discussion, we will just
use the first six words of this verse:
For God so loved the world
Now, we begin the conversion
process. We first replace each word
with its numerical identifier. Next we
find the h1 child for each of these numerical values. It is also necessary to find the h2 and h3 children but we will
skip those at this time in order to avoid too much complexity in this
discussion. Keep in mind that we had
computers, virtual supercomputers, and (actual) supercomputers to aid us in our
work; so, our job, though laborious, was not mind-numbing.
|
Word |
Numerical Identifier |
Subdata Child 1 (h1) |
Subdata Child 2 (h2) |
Subdata Child 3 (h3) |
|
For |
000006 |
.2 |
|
|
|
God |
000049 |
.0002 |
|
|
|
so |
000030 |
.11 |
|
|
|
loved |
000233 |
.3 |
|
|
|
the |
000003 |
.033303 |
|
|
|
world |
000122 |
.0000000091 |
|
|
I think its time for us to introduce the
pictures (geometrical figures). The table
above can be translated into the following table, via some computer magic. We will focus on the words “God,” “loved,”
and “world”:
|
Word |
Geometric Identifier |
|
God |
|
|
loved
|
|
|
world |
|
Using the geometric identifiers above, we
can write John 3:16 this way (this, of course, is only a partial “geometric
translation” [graphic takes a couple of seconds to load]):

To read this verse in “geometrese,” you
would say (“cir” is pronounced “sir,” “tri” is pronounced “try,” and “sku” is
pronounced “skew”):
For cir so tri the squ, that cir gave cir
only begotten Son, that whosever believeth in him should not perish but have
everlasting life.
Now, of course, computers do not use geometric
figures. Instead they use .0002 for
“God”, .3 for “loved,” and .0000000091 for “world.” Also, these numerical identifiers are subdata, not data. Finally, for the precisionists among us,
each root word and each derivative of a root word has its own numerical and
geometric identifiers. For example,
“loved” is .3 but “love” is .209. The
geometric identifer for “love” is the same as that for “loved” except that
there is a large dot in the center of the tri symbol. Computer software is able to correlate (connect) the subdata in
John 3:16 in one ancient Greek manuscript with identical subdata elsewhere in
this manuscript AND IN EVERY OTHER ANCIENT GREEK MANUSCRIPT. This results in the establishment of relationships
and intervasalizations (“numerical evaluations of subdata”):
The following graphic takes a few seconds
to load.
