Abstract

As an ITE technician educated through Singapore’s dual-track system of the 1970s–1980s — Chinese humanities and English scientific training — I gradually realized that the same engineering logic could be applied to life itself. CYSM (CangYan Systems Model) is not a theory derived from academia, but a personal life framework that emerged through decades of real-world practice and continuous calibration.

Drawing from a career in maintaining electrical, testing, and building systems, I developed a model based on five elements: signals, time, capital, health, and stability. The framework suggests that long-term certainty in life arises when meaningful signals are sustained and amplified through sufficient time, preventing failures from accumulating and allowing stability to emerge naturally.

Keywords: ITE Education; Engineering Thinking; Life System Engineering; Signal Recognition; Recalibration; Time Amplification; Life System Stability; Long-Term Systems Thinking

From Ordinary Education Path to CYSM Formation

CYSM (CangYan Systems Model) was not derived from a university laboratory theory. It emerged gradually through long-term real-world operation and reflection.

To trace its origin, I must return to my primary and secondary school years.

Author’s Reflection
In Singapore during the 1970s–1980s, I experienced a unique dual-track education:
Chinese Humanities System: My humanities subjects (history, geography, literature) were taught in Chinese, cultivating long-cycle observation, civilizational awareness, and structural thinking.
English Scientific System: Mathematics and science were taught in English, shaping system thinking, engineering logic, and control structures.
This dual-track education gradually shaped the cognitive foundation of CYSM:
Chinese → sensitivity to life’s long-term continuity and civilizational perspective
English → framework for engineering logic and system design
CYSM was ultimately formed through the intersection of these two systems, combined with decades of real-world constraints and practice.

Systems Thinking from Practical Experience

My understanding of life has been shaped not only by experience, but also by my educational background.

I graduated from Singapore’s Institute of Technical Education (ITE), where technical training emphasizes practical skills and real-world problem solving.

When I completed my studies, I was awarded the Certificate of Merit (COM). This type of education places strong emphasis on hands-on experience rather than purely theoretical knowledge.

This practical mindset influenced the way I approached both work and life.

From Maintaining Machines to Maintaining Life

During my career, I worked in roles that required maintaining and ensuring the reliability of technical systems:

electrical systems
testing equipment
building infrastructure
automation systems

In such environments, the key objective is not short-term performance but long-term reliability.

Years later, I began to realize that the same engineering principles could also be applied to something far more personal:

life itself.

A Simple Systems Model of Life

Over time, my life gradually evolved into a structure that resembles a systems model built on five elements:

Signals – recognizing sustainable directions in life
Time – allowing long-term processes to work
Capital – creating financial buffers through investment
Health – maintaining the biological infrastructure of life
Stability – ensuring that failures do not accumulate

None of these elements appeared overnight. They emerged slowly through experience, observation, and adjustment.

Education as a Life Signal

Looking back, I now see education not simply as a qualification system, but as one of the earliest signal systems in a person's life.

This sequence illustrates how education functions not just as knowledge transfer, but as a long-term signal system.

Signal Recognition → Recalibration → Time Amplification → Capability Accumulation
Education should not be understood only as a mechanism for selecting talent. It can also function as a long-term life signal system.
What matters is not simply where a person is placed at an early stage, but whether the system allows people from different backgrounds to continue recognising new signals, recalibrating their direction, and accumulating capabilities over time.
From the perspective of CYSM, a good system does not necessarily guarantee identical outcomes for everyone. Rather, it should avoid permanently locking a person into a particular trajectory because of their early environment, educational opportunities, or a single decision made at a young age.
If education provides continuing opportunities for Signal Recognition, Time Amplification, and Capability Accumulation, time can become an amplifier of human potential rather than merely an amplifier of early differences.
A strong society is therefore not simply one that identifies a small number of winners.
It is one that gives more people the opportunity to recognise their own signals, recalibrate their direction, and gradually build a stable life system.
In this sense, education is not only about what a person learns at a particular stage of life.
It is also about whether the system leaves enough room for a person to continue learning, recalibrating, and becoming.
This is where time becomes important. A signal has little value if it is not given enough time to be recognised, tested, and developed into capability.

The Role of Time

Many people see time as a source of pressure.

From a systems engineering perspective, however, time is not merely something that passes. It is one of the most powerful amplifiers within a system.

If a system is stable, time amplifies its gains.

If a system is fragile, time also amplifies its mistakes.

In 2006, I began investing through a regular savings plan (RSP), purchasing unit trusts as part of my preparation for retirement.

At the time, I did not have a sophisticated investment theory. I simply invested regularly and allowed time to begin doing its work.

Over the years, this gradually led me to a simple understanding:

Time is not there to prove whether we are intelligent. It amplifies the structure we have built.

This principle extends beyond investment.

It applies to health, finances, habits, relationships, decision-making, and ultimately to the way a life system operates.

That is why I often say:

If a life system is stable, time amplifies its gains. If a life system is fragile, time amplifies its mistakes.

Time itself is neither good nor bad.

It does not determine the quality of an outcome. Rather, it gives an existing structure more opportunity to express itself.

A strong structure compounds.

A weak structure compounds its weaknesses.

In this sense, time is not simply something we spend.

Time is a multiplier of system structure.

Signal Recognition and Time

To illustrate how signal recognition interacts with time, CYSM uses a classic Chinese metaphor: Jiang Taigong fishing.

There is an old Chinese saying:

“Jiang Taigong fishes, and the willing take the bait.”

The saying is traditionally associated with Jiang Taigong, who is said to have fished with an unusual hook while waiting for someone who was willing to approach it.

In the conventional interpretation, the saying suggests that one should wait for those who are willing to come forward.

Within the context of CYSM, however, I interpret it somewhat differently.

For me, Jiang Taigong's unusual fishing method can be understood as a signal-recognition mechanism.

The unusual hook is not simply a tool for catching fish.

It is a signal.

It filters.

It does not merely ask:

“Who will take the bait?”

It asks:

“Who is capable of recognizing what this signal means?”

The “willing” person, therefore, is not simply someone who waits passively for an opportunity.

More importantly, that person possesses the capacity to recognize, evaluate, and respond to a signal.

The real question is not:

“Who is willing to come?”

but:

“Who is capable of judging whether the signal is worth responding to?”

This distinction is important within CYSM.

An opportunity is not automatically an opportunity simply because it exists.

A signal must first be recognized.

It must then be evaluated.

And finally, it must be tested against the stability of the system receiving it.

A person may encounter the same signal as someone else, yet reach a completely different outcome—not necessarily because the signal was different, but because the underlying system was different.

This leads to another CYSM proposition:

The direction of life is not always predetermined. It is often gradually shaped by cognition, judgment, and choices.

From this perspective, Jiang Taigong is not simply offering bait.

He is emitting a signal.

The person who recognizes that signal must still decide whether to respond.

And even recognizing the right signal is not enough.

The receiving system must have sufficient stability to absorb it, sustain it, and convert it into action.

Time as a System Amplifier

This is where signal recognition and time become connected.

A robust life system does not merely react to signals.

It has the capacity to distinguish meaningful signals from noise, evaluate their sustainability, and align them with long-term structure.

A fragile system may receive the same signal but lack the capacity to act on it.

Even a valid signal can therefore produce little result when the receiving system is unstable.

Time then amplifies the difference.

A stable structure gives good signals time to accumulate into meaningful outcomes.

A fragile structure gives mistakes time to accumulate into larger problems.

Therefore, within CYSM, the relationship can be expressed simply:

Signal recognition determines what we respond to.
System structure determines what we can sustain.
Time amplifies the result.

This is why CYSM does not treat time as something to be merely “managed.”

Time should be engineered through structure.

We cannot control the passage of time.

But we can influence the structure that time is acting upon.

We can improve the signals we recognize.

We can improve the decisions we make.

We can strengthen the systems that support those decisions.

And we can allow time to compound the result.

From the perspective of CYSM:

Time is not merely something we spend. It is a multiplier of system structure.

If the underlying structure is fragile, time eventually exposes and amplifies its weaknesses.

If the underlying structure is robust, time gradually compounds its strengths.

And when the structure becomes sufficiently stable,

time eventually becomes a friend.

How Investment Becomes a Stabilizer

In an engineering system, stable operation requires buffers.
In a life system, one of those buffers is capital.
Over time, I gradually built an investment portfolio centered on REITs and dividend-generating assets, allowing recurring cash flow to become an important support for my life system.
The objective of these assets was not to become wealthy as quickly as possible.
It was to achieve something more fundamental:
To reduce the probability of failure within the life system.
When part of the basic cost of living can be supported by passive income, the system becomes less dependent on active employment and external conditions.
This creates greater room for choice, adjustment, and long-term autonomy.
From the perspective of CYSM, capital therefore has a different role from simply representing wealth.
It functions as a stabilizing buffer.
Money is not the ultimate objective.
Capital is infrastructure that helps the life system remain operational.
In my system, capital is not a tool for displaying wealth.
It is a stabilizer.

How the Body Becomes Infrastructure

Every system depends on infrastructure.

In a human life system, that infrastructure is the body and its health.

I live with schizophrenia and glaucoma. To be honest, there is no family history of schizophrenia in my family. The Institute of Mental Health (IMH) in Singapore once asked whether I had been born prematurely, but I was not.

My glaucoma has a different history. As a child, I accidentally sustained an injury to my left eye. At the time, it did not appear to affect my vision. It was not until I was 55 that the condition eventually emerged as glaucoma.

These conditions were not problems that I deliberately chose to have. They simply emerged at different stages of my life.

Once these conditions became part of my reality, they also became constraints that my life system needed to accommodate and manage.

For this reason, health management is not an optional lifestyle topic for me.

It is a long-term systems engineering task.

I therefore continue to work on:

Dietary experimentation
Health records
Data tracking
Learning new knowledge about health

After retirement, I even continued studying Applied Generative AI, hoping to use new tools to improve and refine my approach to health management.

In many ways, this is not fundamentally different from the work I did in the past maintaining electrical systems and building systems.

The difference is simply this:

The object being maintained has changed—from machines to life itself.

In engineering, infrastructure cannot be maintained only when something breaks. It requires observation, monitoring, preventive maintenance, adjustment, and continuous feedback.

The same principle applies to the human body.

Health, therefore, is not merely one component of CYSM.

It is the infrastructure that allows the rest of the life system to continue operating.

Conclusion

I did not set out to design a life philosophy.

What happened instead was simpler: I spent decades maintaining systems, and eventually realized that the same logic applied to my own life.

In the end, my life can be summarized in a simple relationship:

Signal–Time Certainty Model

Certainty = f (Signal Strength, Processing Time)

When meaningful signals meet sufficient time, stable outcomes tend to appear.

That is the quiet lesson an ordinary ITE technician learns after a lifetime of working with systems.

Certainty is achieved through sustained signal processing over time.

Reflection

This framework is not intended as a universal theory of life.

It is simply a personal interpretation formed through practical experience in maintaining technical systems and observing how stability emerges over long periods of time.

Like many engineering systems, life may not require perfect design.
What it requires is a structure that allows time to work without allowing failures to accumulate.

All images above provided by ChatGPT and Microsoft Copilot

The personal information disclosed above was analyzed and interpreted by ChatGPT and Microsoft Copilot

About my work >> https://www.facebook.com/libra1966bensim/directory_work

About my education >> https://www.facebook.com/libra1966bensim/directory_education

Below are video overviews of this blog post, generated with Google NotebookLM at different stages of its development and refinement.