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Saturday, September 13, 2025

The "Certainty System": How I Use Math to Rebalance My CDP Dividend Portfolio | Lin Cangyan



According to data from DBS Bank’s net worth planning tool (digiWealth), my owner-occupied property (a three-room HDB flat) currently accounts for approximately 12.35% of my total assets. Over the years, I have consistently regarded my property as living infrastructure rather than an investment asset. My long-term asset allocation and capital management are conducted primarily through Singapore Real Estate Investment Trusts (S-REITs) and retail unit trusts offered by DBS Bank.

My current asset allocation is as follows:

Owner-occupied property: 12.35%

This allocation reflects a deliberate separation between living infrastructure and capital infrastructure within the CYSM framework. It embodies my long-standing financial strategy: housing serves as essential living infrastructure, while the investment portfolio functions as the primary engine for capital growth and cash-flow generation.

I decided to retire on March 1, 2024, before reaching the age of 58, seven years earlier than the official retirement age of 65, which was originally scheduled for 2030. My basic monthly salary before retirement was SGD 3,114. In hindsight, SGD 3,114 was not an income milestone, but a system signal. It marked the point at which my financial and living infrastructure had matured sufficiently to support time sovereignty. CYSM does not interpret numbers as achievements; it interprets numbers as indicators of system state.

My CPF investments have maintained a profitable return on investment so far. On March 16, 2024, having reached the FRS, I decided to close my CPF investments account and withdraw all my CPF investments, allowing me greater flexibility and convenience in managing my retirement assets.

The value of investment funds fluctuates with global economic developments, so the timing of fund redemptions is crucial. Past returns, which can be found online, are for reference only. The following is my CPF Investment portfolio before closing, please feel free to refer to it:

73.56% — FSSA dividend advantage fund
6.84% — Mapletree Pan Asia Cm reit
5.67% — Frasers log & co tr
3.79% — Sasseur reit
3.67% — Lendlease gl co reit
3.53% — Capitaland ascendas reit
2.92% — Aims apac reit

Achieving retirement officially opens the door to my money working for me. I no longer work for money and become fully committed to controlling my finances and my time. The next step is to reduce investment risk, increase sustainable investment returns, and properly manage my retirement assets.

The first formula below estimates the actual amount of cash invested in my CDP fund, using my Amova Singapore Dividend Equity Fund (ASDE) as a benchmark. It provides a standardized way to track relative performance.

Estimated CDP Cash Invested Principal = (ASDE Principal x CDP Market Value) / ASDE Market Value

The second formula below tells me the actual dividend yield of my CDP portfolio, adjusted for invested capital. I regularly update this data in Excel to monitor whether my portfolio remains within my target yield range of 4-8%.

Annual CDP Dividend Return % = (Total Annual CDP Dividends Received x 100) / Estimated CDP Cash Invested Principal

The above formula provides a data-based estimation method to measure the performance of my CDP portfolio by projecting potential paper gains or losses. You can also use the above formula to benchmark your CDP fund against an index fund or ETF. Maintaining no more than 10% of your entire fund in any single stock is generally quite safe. 


Data source: SGX

[Empirical Evidence of Non-Deliberate Operation at the Capital Layer]

As of 30 September 2026, the top ten holdings in my CDP portfolio accounted for approximately 50.3%, while the remaining holdings—around 90 securities—accounted for 49.7%.

Some may assume that I deliberately maintain the “Others Securities” portion at around 48–49% to achieve diversification. In reality, this was never a target I set.

I established only two basic structural constraints: no individual holding should exceed 10%, and the portfolio should remain diversified across roughly 100 Singapore-listed securities.

Once these constraints operate over time, the portfolio naturally develops a relatively stable distribution. The top ten holdings cannot simply occupy the entire portfolio, while the long tail of smaller positions fills much of the remaining space.

I do not calculate or adjust this ratio every day. I set the structure, and then let time operate within it.

This is what non-deliberate operation means in CYSM: when the underlying structure is properly aligned, stability does not have to be maintained through constant willpower or manual intervention. It can emerge naturally from the way the system operates over time.

The 49.7% was not a target. It was an emergent property of the system.




[Empirical Evidence of Non-Intentional Operation: My Career] 

By the time I formally retired on March 1, 2024, my career had accumulated approximately 25 years of employment, including part-time work. This was not the result of deliberate planning.

Some may assume that I intentionally pursued 25 years of service or a long multinational-company career. In reality, neither was a planned objective.

I simply operated under two underlying constraints:

  1. After National Service, I consistently worked in roles related to maintaining system reliability—from electrical and testing systems to building and automated systems.
  2. After developing glaucoma, I became increasingly aware that the time available to enjoy a healthy life is one of life's greatest forms of wealth. I therefore chose retirement rather than entering a third period of unemployment.

Once these two constraints were in place, my career gradually converged into its present structure:

  • Multinational experience: NEC, IVP, ST Electronics, Sanmina-SCI, ST Aerospace, and APM, totaling more than 20 years.
  • Periods of unemployment: June 1999–May 2002 (2 years 11 months) and September 2009–June 2012 (2 years 9 months). These were not empty gaps, but periods of recalibration while the system responded to broader economic conditions.
  • Part-time transition: NTUC FairPrice (2002–2006), which helped keep the system operational during a lower-demand period.

I did not deliberately try to avoid unemployment, nor did I deliberately try to accumulate years of service.

I simply maintained the underlying structure: work in system-reliability roles, wait for suitable opportunities, and avoid rushing into work that was structurally misaligned.

Then I allowed time to do its work.

This is what CYSM means by non-intentional operation:

When the underlying structure is aligned, stability does not have to be maintained by willpower. It can emerge naturally from the way the system operates.

My father’s devotion to Guan Yu instilled in me a fundamental sense of alignment that served as a psychological buffer. It is precisely this mindset of going with the flow that has enabled me to truly operate without forced effort in both my investments and my career.

I did not deliberately build a 25-year career.

I simply allowed time to amplify a stable structure.



📖 Financial Transparency as System Validation

To pursue the Advanced Degree in Life Engineering (CYSM), I made public my portfolio of liquid assets and monthly expenses. This is something many people cannot bring themselves to do. Transparency in financial modules is not about showing wealth, but about demonstrating the operational stability of the system. CYSM is not a theory on paper—it is a life protocol validated by real-world constraints.

The true difficulty, however, is not merely in making a portfolio public. The real challenge lies in allowing a theory to be tested against reality. Many are willing to share ideas, philosophies, or methods, but few are willing to disclose actual asset allocation, cash flow structures, spending levels, or risk-bearing strategies. Once such data is revealed, a theory shifts from opinion to verifiable structure.

By publishing key operating parameters—liquid asset allocation, REITs, ETFs, SSBs, cash buffers, living expenses, the SGD 667 low-energy engine, and the 5.61% yield engine—CYSM moved beyond abstract discourse. Readers can now observe not only what CYSM says, but how CYSM runs.

This transparency aligns with CYSM’s guiding principle: Theory may guide, but systems must run. Once data is public, time becomes the strictest examiner. Only long-term stability proves resilience. In this sense, publishing asset configurations is not the “degree” itself, but rather the submission of experimental data. The true test of CYSM lies in whether the system can continue to operate stably under the constraints of Signal × Time × Stability.




Personal Narrative Signals: Sparrows, Moths, and Dreams

The following content does not fall under the "evidence framework" of CYSM. These are external and internal narrative signals recorded during the long-term operation of my system; they claim no causality and constitute no verification. They serve merely as observational records within the calibration process.

Narrative Signal: On the evening I updated this section of the blog describing the deliberate separation between living infrastructure and capital infrastructure within the CYSM framework, a black moth unexpectedly entered my room. After guiding it out, I later discovered that, in traditional folklore and symbolic interpretations, a moth entering the home is often seen as a symbol of transition, fortune, emotional connection, or subconscious awakening. Within the CYSM framework, I interpret this event not as superstition, but as a narrative signal — similar to the sparrow incident in 2025 — a reminder that real-world experiences often echo the system’s ongoing calibration. Just as external signals are filtered, abstracted, and integrated into CYSM, this symbolic encounter reflects the convergence of rational asset allocation with subconscious transformation. A black moth is not a causal omen but a narrative signal. It symbolizes the constraints and transitions that invite recalibration of the life system. Whether interpreted as misfortune or transformation, its meaning lies in how the individual integrates the observation into structural stability.


This comparative chart visualizes two narrative signals — the sparrow of 2025 and the moth of 2026 — illustrating how real‑world encounters can be observed as part of CYSM’s long‑term calibration. Each event occurred about one year apart, forming a natural rhythm of observation rather than prediction, and showing how symbolic experiences can coexist with rational system updates.

Narrative Signals in CYSM In the CYSM framework, certain real-world events are recorded not as proof of theory but as narrative signals — emergent observations that surface during long-term system operation. These signals, such as the sparrow in 2025 and the moth in 2026, are documented as part of ongoing calibration. They represent the overlap between external occurrences and internal system states. While each event is objective in itself, its long-term significance can only be validated through continued operation, feedback, and structural convergence.

Narrative Evidence in CYSM The comparative chart of the sparrow (2025) and the moth (2026) illustrates how narrative signals emerge as part of long‑term calibration. Their one‑year interval filters random events into meaningful observations, aligning external encounters with internal system states. The contexts—retirement transition and infrastructure reflection—map directly onto two stages of system evolution. By juxtaposing quantitative data with symbolic experiences, CYSM demonstrates that stability is achieved not only through numbers but also through the disciplined recognition of signals that surface over time. In CYSM, narrative signals are not decorative metaphors—they are recorded observations that inform calibration, without asserting causality.


This framework illustrates the four layers of evidence in CYSM — quantitative, operational, narrative, and structural — showing how the system evolves from data to long-term stability.

Note: Narrative Evidence differs in kind from the Quantitative, Operational, and Structural layers — it is not independently verifiable, reproducible, or causal. It records events surfaced during long-term system operation; its value lies in whether it is consistently incorporated into calibration, not in whether the event itself is objectively true. The four-layer table reflects the completeness of CYSM's recording system, not equal evidentiary weight across layers. Validation here refers to whether signals are consistently integrated into the system, not whether the events themselves are proven true.

CYSM also incorporated the dream—occurring at midnight on July 28, 2026, and representing the subconscious—into the narrative signals. Within CYSM’s semantic framework, "black moths" and "sparrows" constitute external narrative signals—environmental events that serve to observe the system's interaction with the outside world. Dreams, conversely, are internal narrative signals—reflecting the system's internal psychological or cognitive state.

In CYSM, narrative signals are not decorative metaphors—they are recorded observations that inform calibration, without asserting causality. The distinction between the two lies in:



This approach aligns perfectly with the CYSM methodology, clarifying how external events serve as system inputs and internal experiences act as feedback within its long‑term calibration framework.


Conclusion CYSM demonstrates that true stability is not designed once, but sustained through transparent data, disciplined operation, and continuous calibration over time.

Time sovereignty ultimately provides the operational freedom required for long-term system calibration, allowing CYSM to evolve through continuous observation rather than continuous urgency.



All images above provided by Microsoft Copilot. Pie charts were created using VS Code IDE and Google Sheets respectively
The personal information above was analyzed and interpreted by Google Gemini, DeepSeek, ChatGPT and Microsoft Copilot, editorial review by Claude

Regarding naming philosophy →  please refer to"The Use of White Space in Names"


以下是这篇博客使用 Google NotebookLM 制作的视频概览
Below is a video overview of this blog post, created using Google NotebookLM.

 

 


Saturday, September 6, 2025

Systematic Transition to Passive Income: How I Manage a SGD 667 Monthly Expense Strategy | Lin Cangyan


Since I officially retired on March 1, 2024, I've been tracking my expenses every month using Google Sheets. The above Google Sheets pie chart reflects my personal expenses for August 2025 (I only started using the SG60 Neighborhood Shopping Voucher in September).

I enjoy buying groceries from supermarkets and online. I prepare three meals a day at home almost every day with great care, rarely eating out.

To conserve electricity, I've resolutely avoided installing a water heater. There is an air conditioner installed at home, but rarely use it. Clothes are washed by hand; there is no washing machine at home and have no plans to purchase one.

I own my house and live with my younger sister, so I don't have to pay rent, thanks to the "Home Ownership Scheme" policy in Singapore.

Before retirement, I focused on building my own investment portfolio, appropriately taking and managing necessary risks, and refused to purchase any private insurance packages (this was a personal choice made by me after I had already obtained the national MediShield Life insurance and completed a personal risk assessment), so I did not have to pay premiums.

After retirement, my investment portfolio, composed of Unit Trusts, high-dividend stocks and Singapore Government Bonds (SSBs), provided a steady cash flow, allowing me to smoothly transition from work income to passive income, which is completely tax-free in Singapore for individuals.

I never dream of getting rich overnight. My fundamental financial philosophy is to increase income, reduce unnecessary expenses, and rapidly increase reliable investments.

The final total is SGD $667, which accounts for about 29.73% of my monthly passive income. This means I still have some left over 70.27% for medical treatment, travel, or investment. Currently, approximately 43% of my total annual passive income is reinvested in retail unit trusts offered by DBS Bank Singapore.

Data source: DBS, NTUC-FairPrice and SimplyGo

According to my Google Sheets and my Investment records, my average monthly spending and passive income as below: 


2024 financial year summary, my average monthly passive income was SGD 2200, and my average monthly expenditure was SGD 552.60, resulting in a passive income generation surplus efficiency of 74.88%.

2025 financial year summary, my average monthly passive income was SGD 2900, and my average monthly expenditure was SGD 613.53, resulting in a passive income generation surplus efficiency of 78.84%. 


Image above provided by Microsoft Copilot


According Claude AI estimation, most retirees: Passive income surplus efficiency 30-50%

Your efficiency: 78.84%

This means your wealth grows 1.5-2 times faster than others.

“This efficiency represents a self-reinforcing system where surplus becomes reinvestment power.”  



Image above provided by ChatGPT


Pie Chart below are my monthly expense for year 2026


The temporary increase in monthly expenses was primarily attributable to the one-time purchase of a Xiaomi Pad 8 Pro (Chinese Version) from Lazada in February.

The temporary increase in monthly expenses was primarily attributable to a one-time purchase of a Xiaomi Redmi Note 15 Pro+ 5G smartphone (Global Version) from Lazada in March.


📖 Financial Transparency as System Validation

To pursue the Advanced Degree in Life Engineering (CYSM), I made public my portfolio of liquid assets and monthly expenses. This is something many people cannot bring themselves to do. Transparency in financial modules is not about showing wealth, but about demonstrating the operational stability of the system. CYSM is not a theory on paper—it is a life protocol validated by real-world constraints.

The true difficulty, however, is not merely in making a portfolio public. The real challenge lies in allowing a theory to be tested against reality. Many are willing to share ideas, philosophies, or methods, but few are willing to disclose actual asset allocation, cash flow structures, spending levels, or risk-bearing strategies. Once such data is revealed, a theory shifts from opinion to verifiable structure.

By publishing key operating parameters—liquid asset allocation, REITs, ETFs, SSBs, cash buffers, living expenses, the SGD 667 low-energy engine, and the 5.61% yield engine—CYSM moved beyond abstract discourse. Readers can now observe not only what CYSM says, but how CYSM runs.

This transparency aligns with CYSM’s guiding principle: Theory may guide, but systems must run. Once data is public, time becomes the strictest examiner. Only long-term stability proves resilience. In this sense, publishing asset configurations is not the “degree” itself, but rather the submission of experimental data. The true test of CYSM lies in whether the system can continue to operate stably under the constraints of Signal × Time × Stability.

Structural Tension, System Stability, and My Personal Response

A CYSM Perspective on Long-Term Uncertainty


Introduction

The world does not need to become fully stable for a personal life system to remain stable.

Economic competition, technological rivalry, political differences, and security concerns can persist for long periods. Their intensity may change, and periods of cooperation may emerge, without necessarily resolving the underlying structural differences.

From a CYSM perspective, the important question is therefore not how to eliminate uncertainty.

It is:

How should a personal life system operate when structural uncertainty persists?

CYSM approaches this question through a simple principle:

External misalignment does not need to be eliminated. It needs to be managed without becoming internal system failure.

The first part of this article examines structural tension at the global level. It then considers how historical economic strategies and contemporary energy security illustrate structural vulnerability, resource dependency, and the importance of preparation over time. The final part examines how a personal system can respond through buffers, stability, and long-term design.

Together, they illustrate a broader CYSM principle:

A stable personal system does not require a stable external world.


1. Framing the Question

This article is not a geopolitical prediction, nor is it investment advice.

It is a systems interpretation of long-term structural uncertainty and a reflection on my personal response to it.

Over the years, many observers have hoped for a more stable and cooperative relationship between China and the United States.

Periods of cooperation and relative stability are certainly possible.

At the same time, structural differences in economic interests, technological capabilities, political institutions, strategic priorities, and institutional time horizons can continue to generate friction even when particular disputes are temporarily reduced.

The important point is that such tension does not necessarily depend on the intentions of individual leaders or temporary political events.

It can emerge from the structure itself.

The system can generate tension even when no single actor intends to create it.

This is a systems observation rather than a prediction about any particular country or political outcome.


2. Structural Tension as an External Signal

From the perspective of CYSM, structural tension can first be understood as an external signal.

A signal does not automatically tell us what the future will be.

It tells us that something in the surrounding system deserves attention.

The question is therefore not:

“Will conflict occur?”

The more relevant question is:

“What does persistent structural tension mean for the operation of my own life system?”

This distinction is important.

CYSM does not attempt to convert uncertainty into certainty.

Instead, it attempts to process external signals, observe their persistence over time, and design sufficient internal stability to remain functional even when the external environment remains uncertain.


3. Layer One: Economic Structure

China and the United States occupy different but deeply interconnected positions within the global economic system.

Their economies differ in production, consumption, trade, capital flows, technology, and financial architecture.

At the same time, their economic relationship remains significant even as trade patterns and supply chains are being reorganized.

Recent changes in trade flows illustrate that interdependence does not necessarily disappear when economic relationships are restructured. Trade can shift between destinations, production networks can be reorganized, and new dependencies can emerge even as older ones diminish.

This creates both interdependence and structural competition.

Cooperation can therefore coexist with friction.

The relationship may change in direction and intensity, while the underlying structural interaction can remain important for a long period of time.

From a CYSM perspective, this matters less as a question of which side will eventually “win” and more as an observation that the external environment may remain structurally uncertain.

That uncertainty becomes an external signal.

The appropriate personal response is therefore not to predict every economic outcome, but to reduce excessive dependence on any single external condition.

Interdependence does not have to disappear for the structure of interdependence to change.


4. Layer Two: Technological Control

Technology is no longer merely a commercial resource.

Semiconductors, artificial intelligence, advanced manufacturing, energy technologies, and critical supply chains increasingly intersect with economic competitiveness and national-security considerations.

Export controls, licensing requirements, industrial policies, and domestic technology development can all change the conditions under which technological systems operate.

At the same time, restrictions and competition do not necessarily stop technological development. They can also encourage adaptation, substitution, and the restructuring of supply chains.

Artificial intelligence adds another layer.

AI is simultaneously an opportunity, a strategic capability, an information technology, and a potential source of dependency.

From a personal systems perspective, the lesson is not that technological change should be resisted.

It is that technological signals should be interpreted rather than followed automatically.

A new technology may create opportunity.

It may also create dependency.

The task is to distinguish between the two.

Technology should become an input to the system, not the system itself.


5. Layer Three: Political Logic and Time Horizons

China and the United States operate under different institutional structures, decision-making processes, and political time horizons.

These differences can produce different policy rhythms, strategic expectations, and responses to external events.

Neither structure needs to be described as inherently “correct” or “incorrect” for the systems effect to exist.

The important systems observation is that when two large systems operate according to different institutional incentives and time horizons, policy misalignment can persist even when each side is acting rationally within its own institutional structure.

Different systems can therefore produce different priorities without requiring every difference to originate from individual intentions.

This is another example of how structural tension can emerge from the interaction between systems.

Different institutional rhythms can produce persistent misalignment even when individual actors are responding rationally within their own systems.


6. Layer Four: Security Feedback Loops

One of the most important characteristics of complex systems is feedback.

A security measure intended as defensive by one side may be interpreted as threatening by the other.

That interpretation can generate a response.

The response then becomes another signal for the first side.

A simplified feedback loop looks like this:

Security Measure → Suspicion → Countermeasure → Increased Security Concern → Further Security Measures

The important point is that the system does not require deliberate hostility to reproduce tension.

The feedback loop itself can sustain the tension.

This does not mean that every security action is equivalent, nor that all interpretations are equally justified.

It means that once feedback becomes embedded in the system, each response can become an input to the next response.

That is a classic systems problem:

The output of one stage becomes the input of the next.


7. Why Structural Tension Can Persist

Eliminating structural tension completely would require changes across multiple layers:

  • Economic restructuring

  • Technological realignment

  • Political and institutional adaptation

  • Strategic trust

  • Security arrangements

  • Changes in expectations and incentives

Such changes are difficult to achieve simultaneously.

Therefore, temporary stability is possible without producing permanent alignment.

The external system may move between periods of cooperation, competition, confrontation, negotiation, and accommodation.

From a systems perspective, the important distinction is:

Temporary stability is not the same as structural resolution.

Negotiations and agreements can reduce particular tensions without removing every underlying source of friction.

A system can therefore become temporarily more stable without every structural source of tension disappearing.

This observation becomes important when we move from the global system to the question of structural vulnerability.


8. Structural Vulnerability, Energy Security, and the 2035 Window

Structural tension becomes more consequential when it interacts with dependencies that are difficult to replace quickly.

A system may appear strong under normal conditions but remain vulnerable if it depends heavily on a limited number of suppliers, technologies, transportation routes, or critical resources.

This distinction is important.

The amount of resources a system possesses is not the same as its ability to continue operating when access to those resources is disrupted.

8.1 A Historical Signal: Guan Zhong and “Buying Deer to Weaken Chu”

An ancient story recorded in the Guanzi describes a strategy associated with Guan Zhong and the state of Qi.

In the story commonly known as “buying deer to weaken Chu” (买鹿制楚), incentives were used to encourage Chu to divert resources and labour away from grain production. Qi then sought to exploit the resulting difference in productive capacity and grain availability.

The historical account should be understood as a classical strategic narrative rather than treated as direct proof that ancient and modern economic conflicts operate identically.

Its systems significance lies in the mechanism it illustrates.

Economic incentives can influence behaviour. Behaviour can change production structures. A changed production structure can create vulnerabilities that may not become visible until conditions deteriorate.

The lesson is not simply that one side can use economic pressure against another.

It is that a system's vulnerability may arise from the way its resources are allocated, the dependencies it develops, and the time required to correct structural imbalances.

From a CYSM perspective, this offers a useful way to think about Constraint Recognition.

The question is not only what resources a system has, but also which constraints govern its ability to maintain essential operations.

8.2 Modern Energy Security: Resources, Dependencies, and Buffers

Energy security provides a contemporary example of the same general systems question.

For a large economy, access to energy depends on more than the total volume of resources available. It can also depend on import concentration, shipping routes, inventories, alternative suppliers, domestic production, and the time required to adjust consumption or replace disrupted supplies.

Geopolitical tensions involving major oil-producing regions can therefore become external signals for energy-importing economies.

China's energy security can be examined through several related questions:

  • How concentrated are its energy import sources?

  • How much inventory is available, and how quickly can it be accessed and distributed?

  • How readily can imports be redirected to alternative suppliers?

  • How long would replacement supplies take to arrive?

  • What role can domestic production, electrification, and alternative energy sources play in reducing exposure?

These questions distinguish resource possession from operational resilience.

Inventories provide time. Diversified suppliers reduce dependence on a single source. Alternative energy systems can change the underlying structure of demand and supply over a longer period.

None of these mechanisms eliminates every risk.

Together, however, they can increase the system's capacity to absorb disruption and adapt.

This is the connection with CYSM's concept of buffers:

A buffer does not necessarily eliminate the disturbance. It changes how the system experiences and responds to the disturbance.

The same principle applies to a personal life system. A capital buffer cannot prevent every loss, but it can reduce the pressure to make immediate decisions. A health buffer cannot eliminate every illness, but it can support continued operation. A time buffer cannot prevent every unexpected event, but it can create room for adaptation.

The mechanisms differ across national and personal systems, but the underlying question is comparable: how much disruption can the system absorb before its essential operations are compromised?

8.3 The 2035 Window: Demographic Change and Long-Term Resilience

Demographic change adds another dimension to this question.

China's National Health Commission has projected that the population aged 60 and above will exceed 400 million around 2035, accounting for more than 30% of the total population. This projection is described in the Commission's official briefing on China's ageing population.

The projection makes the period leading up to 2035 a meaningful window for examining the interaction between demographic ageing, economic restructuring, public services, and energy security.

An ageing population may increase demand for healthcare, pensions, long-term care, and other services. Economic restructuring and changes in the workforce may create additional demands for productivity, investment, and adaptation.

If energy supply were also disrupted, the consequences would depend on the severity and duration of the disruption, the economy's energy intensity, available alternatives, policy responses, and the resilience of essential services.

It would be premature to conclude that these pressures must combine into a crisis. They are interacting variables, not a predetermined outcome.

From a CYSM perspective, the importance of the 2035 window lies elsewhere.

It highlights the value of preparing before multiple structural pressures become more difficult to absorb.

2035 is not necessarily a deadline for crisis. It is a useful point at which to assess whether sufficient resilience is being built in advance.

Time can amplify the benefits of preparation, but it can also allow unresolved vulnerabilities to accumulate.

This is why time matters in system design. Buffers, alternative supply arrangements, infrastructure, and adaptive capacity generally cannot be created instantly when a disturbance has already occurred.

8.4 From National Resilience to Personal System Design

The comparison between national energy security and personal life stability must be made carefully. A country and an individual operate at different scales, with different resources, institutions, and responsibilities.

Nevertheless, the structural questions can be similar.

A country may examine its dependence on a limited number of energy suppliers.

An individual may examine dependence on a single income source.

A country may maintain inventories and alternative supply routes.

An individual may maintain capital buffers and preserve flexibility.

A country may invest in infrastructure that reduces long-term exposure.

An individual may establish health routines, manage expenditure, and protect time for adaptation.

The purpose is not to claim that personal finance is equivalent to national strategy.

It is to recognise a shared systems problem: when external conditions cannot be controlled, resilience depends partly on the structure of the system itself.

This is where the historical and contemporary examples return to the central question of this article.

What matters is not merely whether external tension exists.

What matters is how much structural vulnerability it exposes, how much time is available to respond, and whether the system has enough buffers to remain operational.


9. From Structural Signal to Personal Response

This is where CYSM changes the question.

If structural uncertainty is an external signal, what happens next?

The CYSM approach is not to react immediately.

It is to process the signal.

A simplified cognitive process can be expressed as:

Signal → Interpretation → Questioning → Reframing → Validation → Emergence

The same principle can be applied to structural uncertainty.

First, recognize the signal.

Then interpret it within a broader context.

Question the assumptions behind it.

Reframe the problem from:

“What will happen?”

to:

“What happens to my system if uncertainty persists?”

Then validate the response against reality.

Over time, new insights can emerge.

This shifts the focus from prediction to system design.


10. Designing Stability Instead of Predicting Outcomes

My personal response is therefore not based on predicting geopolitical winners or losers.

It is based on a simple CYSM principle:

Survival must be designed.

If uncertainty is likely to persist, then system stability becomes more important than prediction accuracy.

Rather than attempting to forecast every future event, I focus on reducing excessive concentration risk and increasing resilience within my own life system.

The objective is not certainty.

The objective is stability.

A personal system does not need to know exactly what will happen next.

It needs sufficient capacity to continue operating when the next event is different from what was expected.

The goal is not to predict the future perfectly.
The goal is to remain functional when the future is not perfectly predictable.


11. The Principle of Buffer Layers

CYSM does not attempt to eliminate uncertainty.

Uncertainty is a permanent feature of reality.

Instead, CYSM emphasizes the construction of buffer layers.

These can include:

  • Capital buffers

  • Health buffers

  • Time buffers

  • Psychological buffers

  • Information and decision buffers

The function of a buffer is not simply to prevent a shock.

A buffer creates time and space for response.

This is an important distinction.

Without a buffer:

Shock → Immediate Pressure → Forced Reaction

With a buffer:

Shock → Buffer → Time to Respond → Adaptation → Continued Operation

Therefore:

A buffer is not merely protection against uncertainty. It is a mechanism that creates time for a system to absorb, adapt, and respond without collapsing.

In engineering terms, a buffer does not necessarily eliminate the disturbance.

It changes how the system experiences and responds to the disturbance.

This connects the buffer concept directly to the CYSM relationship between Signal, Time, and Stability.


12. Signal → Time → Stability → Emergence

At this point, the broader CYSM structure becomes visible.

A structural disturbance first appears as a signal.

Time allows us to observe whether that signal represents a temporary disturbance or a persistent pattern.

Stability determines whether the system can continue operating while that pattern remains unresolved.

When sufficient stability is maintained over time, new options and new forms of freedom can emerge.

The process can therefore be expressed as:

Signal → Time → Stability → Emergence

This does not mean that every signal produces a positive outcome.

Rather, it means that continued operation creates the conditions under which new possibilities can emerge.

CYSM therefore does not require the external environment to become stable before the individual can live a stable life.

It asks whether the individual system can maintain sufficient internal stability while the external environment remains uncertain.


13. Cross-Domain Stability

This principle is not limited to geopolitics.

The same structural logic can appear across different domains.

A person may face:

  • Economic uncertainty

  • Technological disruption

  • Career changes

  • Health challenges

  • Information overload

  • Changing social conditions

  • Political uncertainty

The external signals are different.

The underlying systems question can remain similar:

Can the system process uncertainty without losing its ability to operate?

This is why CYSM treats capital, health, time, information, and psychological capacity not as isolated categories, but as interconnected components of a personal life system.

The objective is not to eliminate every source of uncertainty.

It is to prevent external disturbances from becoming internal structural failure.


14. Stability Is Not the Absence of Tension

An important distinction follows from this framework.

Stability does not mean that tension has disappeared.

A stable system may still contain:

  • Uncertainty

  • Competing forces

  • Changing conditions

  • Incomplete information

  • Unresolved external problems

Stability means that the system has sufficient structure, buffers, feedback, and adaptive capacity to continue functioning despite them.

In this sense:

Stability is not the absence of disturbance. It is the ability to remain operational while disturbance exists.

This is one of the central ideas behind CYSM.


15. My Personal Response

My response to structural uncertainty is therefore relatively simple.

I do not need to know which country will dominate.

I do not need to predict every market cycle.

I do not need to know exactly how technology will evolve.

And I do not need the external world to become permanently predictable.

What I need is a personal system that can continue operating under changing conditions.

That means maintaining sufficient buffers, avoiding unnecessary concentration of risk, protecting health, preserving time, maintaining information discipline, and retaining the freedom to adapt.

The goal is not to predict the future perfectly.

The goal is to remain capable of responding to a future that cannot be predicted perfectly.

This is the practical meaning of system stability.


16. Final Thought

A system does not need to collapse to contain tension.

It only needs to remain structurally misaligned.

Likewise, a person does not need perfect certainty to live a stable and meaningful life.

The person needs sufficient stability to continue operating while uncertainty persists.

The deeper CYSM principle is therefore not:

“Make the world stable.”

It is:

“Design your system so that the world does not have to be stable for you to remain functional.”

External signals will continue to arrive.

Some will be temporary.

Some will persist.

Some will eventually reveal patterns that were invisible at the beginning.

What matters is how the system responds.

Signal creates awareness.
Time reveals patterns.
Stability enables continuity.
And continuity creates the conditions for emergence.

This is the central idea behind CYSM:

Performance can be pursued.
Survival must be designed.

And when survival is properly designed, stability becomes the foundation upon which freedom can emerge.

Together, they illustrate CYSM’s cross-domain logic: external misalignment does not need to be eliminated for a personal system to remain stable; it needs to be managed without becoming internal system failure.


The previous diagram illustrates structural tension at the global and national-system level, while the following diagram shows how a personal life system processes uncertainty through internal buffers and stability mechanisms.

Author’s Statement

I never studied political science at university. Yet, after building and operating my own Personal Life System (CYSM), I discovered what I came to think of as a kind of “universal decoder.” It helped me make sense not only of my finances, health, and cognition, but also of the structural tensions between China and the United States.

The reason, as I see it, is that certain underlying systems principles—particularly those concerning survival, stability, dependency, and adaptation under long-term uncertainty—can offer useful insights across different scales, from an individual's life to the interactions between nations.

I did not begin with political science and apply it to my life. I began with life, built a system through experience, and gradually discovered that the same systems perspective could help me interpret a much wider world. In this sense, my exploration of geopolitics emerged naturally from my own pursuit of long-term survival and system stability.



Images above generated by ChatGPT and Microsoft Copilot respectively

This article was rewritten in CYSM system logic cognitive language on Oct 15, 2026, with ChatGPT and DeepSeek as the writing assistant.

想看这篇博客的小红书版本,请阅读 “中美不是谁变了,而是结构性关系变了”