Abstract
This article presents a personal life framework developed through decades of practical engineering experience.
Rather than approaching life through purely theoretical models, the author interprets life as a long-running system that requires maintenance, stability, and feedback.
Drawing from a career in maintaining electrical, testing, and building systems, the article proposes a simple life model based on five elements: signals, time, capital, health, and system stability.
The framework suggests that long-term certainty in life may emerge from the interaction between signal recognition and sufficient processing time.
A Systems Model of Life from an Ordinary Engineering Technician
Many people see life as a series of choices, hard work, and luck.
But from my perspective, life is closer to a long-running system.
During my working life, I spent decades maintaining technical systems:
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electrical systems
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testing systems
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building facilities systems
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automation systems
All of these systems share one fundamental requirement:
They must operate reliably over long periods of time.
After retirement, I gradually realized that the same engineering logic could also be applied to something even more important — my own life.
If viewed through a systems perspective, my life can be understood as consisting of five key components.
Chapter 1: Signals
How Life Identifies the Right Direction
Every stable system must first be able to recognize meaningful signals.
When I was younger, I did not have a grand life plan. Many of my choices were simply shaped by circumstances, personal temperament, and the need to survive.
I instinctively avoided structures that felt fragile, unstable, or overly risky. Instead, I chose paths that seemed sustainable over time.
For example:
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choosing stable technical work
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maintaining disciplined routines
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avoiding high-risk lifestyles
Only later did I realize that this instinct represented an important capability:
the ability to recognize signals.
In a life system:
Signal strength = the long-term sustainability of a decision within its environment.
Chapter 2: Time
How Time Amplifies Systems
Many people treat time as a source of pressure. But in systems engineering, time is actually a powerful amplifier.
If a system is stable, time amplifies its benefits.
If a system is fragile, time amplifies its weaknesses.
In 2006, I started investing through a regular savings plan (RSP) offered by the bank, mainly by purchasing unit trusts as preparation for retirement.
At that time, there was no complicated investment strategy. I simply continued contributing regularly and allowed time to do its work.
Over the years I came to a simple understanding:
Time does not prove whether we are intelligent.
Time amplifies the structure of the system we build.
When the structure is sound, time naturally becomes an ally.
Chapter 3: Capital
Investment as a Stability Mechanism
In engineering systems, long-term stability requires buffers.
In life systems, capital serves this role.
Over time, I built an investment portfolio centered largely on dividend-producing assets, including REITs. These investments provide a stream of passive income that supports part of my retirement life.
The purpose of this capital was never rapid wealth accumulation. Instead, its function was much simpler:
to reduce the probability of system failure in daily life.
When basic living costs are partially covered by passive income, life gains a greater degree of flexibility and resilience.
In my system:
capital is not a symbol of wealth, but a stabilizer.
Chapter 4: Health
The Body as Infrastructure
Every system depends on infrastructure.
In a life system, that infrastructure is the human body.
Because I live with schizophrenia and glaucoma, health management is not optional for me. It is an ongoing maintenance process that requires attention and discipline.
As a result, I continuously experiment with and refine my health routines:
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dietary adjustments
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personal health records
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observation and feedback
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learning new health strategies
After retirement, I even studied applied generative AI to explore how technology could help optimize my personal health system.
In essence, this is no different from maintaining an electrical or building system.
The only difference is that the system being maintained is my own life.
Chapter 5: Stability
Preventing Failure from Accumulating
In engineering, the goal is not to eliminate every possible failure.
The true goal is to ensure that failures do not accumulate into catastrophic breakdowns.
Over time I developed a simple principle for my own life:
My goal is not to achieve success, but to prevent failure from accumulating.
When failures cannot accumulate:
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systems remain stable
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time amplifies positive structures
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life gradually enters a safer zone
This long-term stability is what I describe as a form of “exemption power.”
It is not a sudden achievement, but the natural outcome of a system that has remained stable over time.
Conclusion
Looking back, I did not consciously design this system from the beginning.
Many choices were simply responses to the circumstances of the moment.
But through continuous reflection, writing, and observation, I eventually realized that my life had gradually formed a structure that resembles a systems engineering model.
Also defined as Signal–Time Certainty Model
If expressed in a simple formula:
Certainty = f (Signal Strength, Processing Time)
When signals are meaningful and time is sufficient, stability emerges naturally.
This may be the quiet understanding that an ordinary engineering technician arrives at after spending a lifetime maintaining systems.
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