When thinking conventionally the following happens in the mind. An initial effort is exerted by the brain. A second effort is exerted. A third effort which appears lighter than effort 1 and 2 is applied. At this point the brain is used to the task.
Even as the brain applies effort it has to rely on a deeper factor known as the calculant. The calculant regulates the amount of effort. It is the quality of mental effort. A high calculant tells the brain to reduce the effort. While a low calculant calls for more effort.
For an optimum calculant to be attained, the mind in question must be astute in forming connections in a flowing thinkmap. Highly savvy individuals with rarefied calculants are known as thinking automators. The commonplace term for calculant is intuition.
There is a tendency to measure intuition using two classes of heartbeats. Me heartbeats and intuitive heartbeats. The me heartbeats are assigned the binary unit 0 while the intuitive heartbeats are assigned 1. A landscape of the mind based on this system would be 01101010. Yet this method is flawed as intuition is a highly mutative phenomenon. That is why we refer to it as calculant. It takes thousands of hours to attain a rarefied calculant. (A rarefied calculant yields a fair dTA result with minimal mental effort. )
One has to sift through billions of brain cells. It is comparable to searching for a star in the vast universe. However, thinking automators can guide you using thinkmaps.
While one cannot be taught how to generate a thinkmap, they can at least follow through. A famous thinking automator is Matthew Njogu. His thinkmaps are named matthinkmaps. Attempts to generate thinkmaps by a novice lead to mental blocks.
A mental block happens when excess mental effort is applied. This leads to flawed thinkmaps called cobwebs. Where thoughts forcefully connect with others.
Thinking automation not only reduces effort but it increases calculant to mental effort negotiation smoothness. Thus prevents COBWEBS.
The order in which effort and calculant appear matters. If the mind tries to figure out both effort and calculant simultaneously we risk a mental block. Thus it is safe when the calculant precedes the effort. These two factors are comparable to structure and creativity. The mathematical expression for calculant and mental effort is a cyclic exponential function. However, the general form is sufficient to guide our understanding of the mind.
Another cause of flawed matthinkmaps is our natural tendency to fight automatic connections between thoughts. This we do by either straying out of our minds or by burdening a consummate connection. We thus stray completely from a thinkmap and cause damage to thoughts.
Thinkmaps, the tools of thinking automation, work by engrossing the user to feel the wishy-washy structure of a mattthinkmap. It is like reading the mind’s blueprint. Different thoughts may cause different thinkmap variations.
“While we cannot fully control our thoughts, surrendering to higher plane thought flashes enables us to smoothly navigate volatile thinkmap varitions. ”
Besides acknowledging and imbuing thinkmap volatility, adopting to the concentric nature of a set of thinkmaps is a way of foreseeing thinkmap volatility.
The thinking process is not smooth but it can be smoothened by a thinkmap. We do not need billions of data bytes to automate thinking, we just need a bird’s-eye view.
Oh, we could use a thinkmap to imbue a thinkmap.
Rotate the thinkmap below
Founder of Matthinkmaps