Colin Griffith
Center For Advanced Studies
Goliath Energy Corporation
December 9, 2022
Conditional Analysis
Introduction:
This spreadsheet represents a numerical exercise that I am henceforth referring to as a conditional analysis. It is similar in concept to the idea of creating a slit within the matrix for data to pass though, but with a different goal in mind. The idea is to establish an algorithm that generates a data stream and then place a condition on the data so that numbers are either added or subtracted. It is a lasting condition that has a repeating affect on the data that results thereof. It is similar in concept to a tunnel through the matrix. The tunnel is then collapsed by performing a final summation. With this summation we see an orderly escalation of number by an increment of one. When we look at the graph created, we see a linear relationship with a local sin-wave like variability pattern. This spreadsheet proves that it is possible to proceed directly through the matrix via quantum tunneling. The first opportunity I see hear for further research would be the creation of a bi-conditional matrix and then seeing how to procedurally generate multi-conditional tunnel systems.
Dataset:
Table 1.0
Conditional Analysis Table
1 | 2 | 3 | 2 | 3 | 2 | 14 |
2 | 3 | 4 | 5 | 4 | 5 | 15 |
3 | 4 | 5 | 4 | 5 | 4 | 16 |
4 | 5 | 6 | 7 | 6 | 7 | 17 |
5 | 6 | 7 | 6 | 7 | 6 | 18 |
6 | 7 | 8 | 9 | 8 | 9 | 19 |
7 | 8 | 9 | 8 | 9 | 8 | 20 |
8 | 9 | 10 | 11 | 10 | 11 | 21 |
9 | 10 | 11 | 10 | 11 | 10 | 22 |
10 | 11 | 12 | 13 | 12 | 13 | 23 |
11 | 12 | 13 | 12 | 13 | 12 | 24 |
12 | 13 | 14 | 15 | 14 | 15 | 25 |
13 | 14 | 15 | 14 | 15 | 14 | 26 |
14 | 15 | 16 | 17 | 16 | 17 | 27 |
15 | 16 | 17 | 16 | 17 | 16 | 28 |
16 | 17 | 18 | 19 | 18 | 19 | 29 |
17 | 18 | 19 | 18 | 19 | 18 | 30 |
18 | 19 | 20 | 21 | 20 | 21 | 31 |
19 | 20 | 21 | 20 | 21 | 20 | 32 |
20 | 21 | 22 | 23 | 22 | 23 | 33 |
21 | 22 | 23 | 22 | 23 | 22 | 34 |
22 | 23 | 24 | 25 | 24 | 25 | 35 |
Charts:
Figure 2.1
Figure 2.2
Figure 2.3
Figure 2.4
Figure 2.5
Figure 2.6
Figure 2.7
Figure 2.8
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