Two objects are coupled when they interact with one another. For example, the Earth and the Moon are coupled by gravity. In chiralkine counting, objects are coupled mathematically by erasing and redrawing the “is” and “not” components that define each object.
1. Objects as Relationships
Chiralkine counting treats each object as a symmetrical relationship:
- An object is defined by what it is and what it is not.
- The quantity of “is” and “not” components in a group of objects is always equal.
To count completely, all the “is” and “not” components must be paired. This process ensures:
- The objects are counted in a ring.
- The order in which they are counted does not matter.
Imagine four objects: a triangle, a square, a pentagon, and a hexagon.
Each object starts with its “is” and “not” components intact.
When an object is counted that distinction is erased and another is drawn. This pairing of each “is” and “not” ensures that counting is complete. For example, if an object is a triangle, counting that triangle erases the distinction between what that triangle is and is not, and draws another distinction. What an object is and what it is not are counted at the same time. Counting is complete when all of the “is” and “not”s have been joined up in a ring.
Counting of the objects can be repeated in a cycle corresponding with rotation of a colour wheel.
Two objects can become coupled, mathematically, by erasing what one of the objects is and what the other of the objects is not. Effectively one is counted when two objects are coupled in this way. For example if one of the two objects is a triangle and the other is a square, the two objects can be coupled by erasing what the triangle is and what the square is not. The triangle and the square are now mixed up: a chimera. Their identities have become entangled. Each of the two objects in the chimera can independently be further coupled with another object. When each of the “is” and “not”s defining the objects have been paired up a ring is formed. Only when this ring has been formed does the quantity counted match up with the quantity of objects at the start and the identities are restored to the objects. Coupling results from incomplete counting.
2. Example: Coupling Objects
Imagine four objects: a triangle, a square, a pentagon, and a hexagon.
Step 1: Initial Counting
Each object starts with its “is” and “not” components intact.
Step 2: Coupling Two Objects
The triangle and the square can be coupled by:
- Erasing what the triangle “is” and what the square “is not”.
This entangles their identities, forming a chimera (a mix of two objects).
Step 3: Double Coupling
Next, each object can independently couple with another:
- The triangle couples with the pentagon.
- The square couples with the hexagon.
At this point:
- The triangle and square are double coupled.
- The pentagon and hexagon are singly coupled.
- There is no ring yet.
Step 4: Forming a Ring
Finally, the pentagon and hexagon are coupled together.
- All “is” and “not” components are now paired in a ring.
- The identities of all objects are restored.
3. Coupling as a Solution for Economic Systems
Chiralkine counting can couple economic agents (e.g., people offering and wanting goods) in the same way:
- An economic agent’s offers and wants are mapped to the “is” and “not” components defining objects.
- Coupling these offers and wants mathematically clears mismatches, ensuring the exchange is complete.
4. Economic Analogy: Batteries in a Circuit
Each economic agent behaves like a battery:
- The “is” and “not” components of an object correspond to the two ends of the battery.
- The potential energy (a mismatch between offers and wants) drives the process, just like voltage in an electric circuit.
When a ring is formed:
- The mismatched offers and wants are cleared.
- The system achieves balance, no fees, taxes, or interest needed.
This method provides a blueprint for a new kind of economic system—one that operates symmetrically and without exploitation.
Conclusion
Chiralkine counting uses coupling to mix, entangle, and eventually restore relationships between objects. This can be applied to control a system. By applying this method to economic systems, we can solve the double coincidence of wants problem in barter, creating a fair and mathematically controlled process for exchanging goods and services.