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Sunday, September 13, 2026

CYSM Spiral Convergence: An Engineering Reflection on Direction and Probability

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To be honest, as early as 2010—and perhaps even earlier, around 2001—I could already vaguely see the person I am today.

But let me be clear: this was not because I had seen a pre-determined destination.

What I sensed was something deeper: the structural constraints underlying my life system.

Within CYSM, I do not believe that an entity called “destiny,” or some predetermined attractor, was pulling me toward a fixed endpoint. Rather, it was the interaction of repeated choices, environmental constraints, and real-world feedback that gradually shaped my direction over time.

My choices generated signals.
My environment imposed constraints.
Reality provided feedback.
Time amplified the effects of repetition.

Through this process, my life gradually converged toward an increasingly clear direction.



Probability and the Limits of Human Perception

We sometimes hear the statement that “probability is an illusion of the human mind.”

I understand this primarily as an epistemological metaphor, rather than as a claim of determinism.

Probability is not necessarily an illusion in the mathematical or physical sense. But from the perspective of human cognition, probability can sometimes reflect the limits of our ability to observe a system in its entirety.

When a system contains too many interacting variables, constraints, and feedback loops for us to fully perceive, we experience uncertainty and describe possible outcomes probabilistically.

In some constrained systems with strong feedback and stabilizing mechanisms, however, when the key constraints and initial conditions are relatively clear, long-term behavior may become increasingly predictable at the macroscopic level.

This does not mean that the future is predetermined.

It means that structure can constrain possibility.

And when constraints are repeatedly reinforced over time, some trajectories become increasingly likely to persist while others become increasingly difficult to sustain.



From Direction to Convergence

This is where the idea of spiral convergence becomes meaningful to me.

I do not see life as a straight line moving toward a predetermined destination.

Nor do I see it as a completely random sequence of events.

Instead, I see it as a system in which repeated choices, constraints, feedback, and time continuously reshape the next stage of operation.

Each cycle carries information from the previous one.

Each calibration changes the system.

Each change influences the next set of choices.

Therefore, returning to a similar point does not necessarily mean returning to the same state.

The system may return with a different level of understanding, stability, and structural awareness.

That is why I use the metaphor of a spiral, rather than simply a circle.



Why Stability Still Needs to Be Designed

This does not mean that designing stability is pointless.

Quite the opposite.

Precisely because systems can develop structural inertia, deliberate system design becomes important.

Repeated signals can reinforce a direction.

Repeated behaviors can strengthen a pattern.

And patterns, once sufficiently reinforced, can become increasingly difficult to change.

If the signals being accumulated are chaotic, destructive, or poorly calibrated, the system may gradually converge toward instability.

If the system continuously receives meaningful signals, accumulates time, builds stability, and responds to feedback, it may instead converge toward a more naturally operating state.

In CYSM, this is why stability is not simply an outcome. It is something that can be designed, maintained, and continuously calibrated.



The Problem of Retrospective Recognition

At the same time, I must be honest about one important limitation.

My statement that I could already vaguely see my present self in 2001—or even earlier—is itself vulnerable to retrospective narrative bias.

I know what happened today.

Looking backward from that known outcome, I may unconsciously select those earlier signals that appear to “fit” the story.

Such retrospective recognition cannot be treated as scientific evidence of predictive accuracy.

Its value lies elsewhere.

It may help reveal whether there was an underlying mechanism that can explain why apparently separate events, choices, and constraints eventually converged toward a recognizable direction.

This is consistent with the self-review standard I discussed in Section 6.5 of the CYSM Whitepaper:

Retrospective alignment is not theoretical inheritance.

Recognizing a pattern after the fact does not prove that the pattern was consciously understood beforehand.

Nor does it prove that the future was predetermined.

It simply allows us to ask a different question:

Was there a structural continuity beneath the events that only became visible with enough time?

 


I Did Not See the Future

So, I did not see the future.

I simply sensed the weight of constraints earlier than I was able to articulate it.

I was not being pulled toward the present by destiny.

Rather, through every choice, every constraint, every feedback loop, and every act of calibration, I gradually shaped myself into the person I am today.

The system was running long before I had a name for it.

The framework came later.

Life came first.



Epilogue I: A Systemic Reflection on Perfection

Many people believe that a good system must have a perfect design.

I have come to believe otherwise.

Like many engineering systems, a human life does not require perfect design.

Perfect designs can sometimes be fragile because they depend on assumptions remaining correct.

Life is different.

What life needs is a structure that allows time to pass naturally without allowing small failures to accumulate into systemic collapse.

That means accepting noise, allowing imperfections, maintaining redundancy, and—most importantly—having sufficiently strong feedback mechanisms to detect deviation and prevent local failures from becoming systemic failures.

A resilient system does not depend on perfection.

It depends on continuity.

Even this cover image is an imperfect example.

It contains an AI-generated watermark. It even contains an extra redundant icon.

Yet the system still communicates its structure clearly.

It does not need to be perfect to function.

It simply needs to remain operational, adaptable, and capable of continuing through imperfection.

For me, this imperfection is not merely a metaphor.

I live with glaucoma and schizophrenia. They are two enduring constraints within my life system. CYSM was never built on the assumption that every constraint must first be eliminated. Instead, it seeks to design sufficient buffers, redundancy, and feedback mechanisms so that these constraints do not accumulate into systemic failure.

This reflects a fundamental difference in perspective:

Conventional thinking may focus on identifying a failure, eliminating it, and restoring an ideal state.

CYSM focuses on identifying constraints, designing buffers and redundancy, isolating local failures, and maintaining the sustainability of the overall system.

A real human life cannot realistically operate under a condition of zero failure.

The more practical objective is not collapse.

That may be one of the deeper lessons of CYSM:

A resilient life system does not need to be perfect. It needs to keep running.

And perhaps, after decades of operation, what may appear from the outside to be “destiny” is simply the visible result of signals, constraints, time, stability, feedback, and repeated calibration.



Epilogue II: Reason, Faith, and the Psychological Buffer

After writing this reflection, I was reminded of a famous quote by Thomas Aquinas: 

“Faith without reason is blind, while reason without faith is empty.”

These words led me to reflect on a difficult chapter of history—the Cultural Revolution in China. During that period, traditional religious practices and institutions were severely suppressed, while many existing sources of social and psychological meaning were profoundly disrupted.

From a CYSM perspective, this illustrates an important principle: when critical psychological and social buffers are weakened, a system may become less capable of absorbing prolonged stress.

This is not to suggest that faith alone creates stability. Rather, faith can function as one component of psychological stability within a larger human system.

As for the other half of the idea—“faith without reason is blind”—it prompted me to re-examine my own psychological buffer: my practice of following my father in venerating Guan Yu, the Martial God of Wealth.

I do not treat this inherited faith as evidence or as a guarantee that nothing will go wrong. Instead, I have interpreted Guan Yu's symbolic “protection” as system sustainability—a psychological buffer that helps me maintain continuity under uncertainty.

In this sense, my faith does not replace reason. It serves a different function.

Reason constructs the system's framework. Faith can provide the psychological buffer that helps sustain it.

This is not a claim of supernatural certainty, but a personal interpretation that has emerged from experience, family tradition, and continuous self-calibration.

Reason builds the architecture.
Faith provides the buffer.
Stability sustains the journey.

And perhaps this is another form of Spiral Convergence: not the elimination of uncertainty, but the gradual integration of different sources of stability into a system capable of continuing to operate.

Stability and Time appear twice: once as foundational precondition and once as operational variable. They are the same concepts at different levels of abstraction.

Framework came later. Life came first.

A Personal Source of Stability

Devotion to Guan Yu embodies loyalty, righteousness, and divine protection.

I follow my father in venerating Guan Yu—the Martial God of Wealth—interpreting his "protection" as a symbolic assurance of system sustainability.

It instills in me a unique sense of stability. 

Life → Experience → Family Legacy → Faith → Psychological Stability → Systemic Stability 

This chain describes the developmental path of my own psychological buffer, rather than a necessary condition for CYSM as a systemic framework. CYSM can operate independently of any specific belief system; however, for me personally, the belief in Guan Yu serves as a genuine source of psychological stability. 



The images above were provided by Microsoft Copilot; personal information was analyzed and interpreted by ChatGPT, and subsequently confirmed and finalized by Claude.


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

 

CYSM 螺旋收敛:关于方向与概率的工程学反思

正文:

坦白讲,我早在2010年甚至更早的2001年,就已经隐约地看到了我今天的样子。但请注意,这不是因为我看到了一个“预先设定好的终点”,而是我感知到了系统底层的“结构约束”。

在CYSM中,我不认为有一个叫“宿命”的“吸引子(Attractor)”在拉扯我。相反,是我长期重复的选择(信号)、面对的环境限制(约束)、以及现实反馈(校准),在时间的放大下,逐渐收敛(Convergence)出了一个极其明确的运行方向。

我们常说“概率是心智的幻觉”,这其实是一句认知论上的隐喻,而非决定论的断言。概率,往往只是人类心智在面对错综复杂的约束条件时,因为看不清全貌而产生的一种“无能之感”。在一个非混沌的、由负反馈主导的稳定性系统里,如果约束条件和初始信号足够清晰,系统的演化轨迹在宏观上就是高度可预测的。

但这并不意味着未来是被预先注定的。它意味着:结构可以约束可能性。

当约束在时间中被反复强化,某些轨迹会变得越来越容易持续,而另一些轨迹则会变得越来越难以维持。这正是为什么“设计稳定性”不是徒劳的。恰恰相反,正是因为系统具有这种“结构惯性”,我们才更要对它进行主动的“工程化设计”。你种下的是混沌的种子,它就会收敛出崩溃的方向;你种下的是信号、时间与稳定性,它才会收敛出“自然运作”的状态。

这就是为什么,我更愿意把它理解为一种“螺旋收敛”,而不是宿命。

我不认为人生是一条直线,或者一连串随机的碎片。它更像是一个系统:每一个循环都携带着上一轮的信息,每一次校准都会重塑下一次的选择。因此,回到相似的位置,并不意味着回到相同的状态。系统带着全新的理解、稳定性和结构意识,重新进入下一轮运行。

这正是螺旋与圆圈的区别。

当然,我必须坦诚地指出:上述“2001年就隐约看到今天”的回顾,本身就带有叙事谬误的特征——我是在已知今天结果的前提下,回溯性地挑选了当年那些“算数”的信号。这种追溯性识别在科学上无法被证伪,它的价值不在于预测的准确性,而在于其底层机制的可解释性。这与我在白皮书 6.5 节对 Kolb“事后对齐不等于理论继承”的自我审查标准是一致的。

所以,我不是看见了未来,我只是看见了“约束的重量”。我不是被命运拉过去的,我是在每一次“校准”中,亲手把自己雕刻成了今天的样子。

生命在先,框架在后。


【尾声一:关于完美的系统性反思】

许多人认为,好的系统必须拥有完美的设计。

我逐渐相信,并非如此。

就像许多工程系统一样,人的生命并不需要完美的设计。

完美的设计往往是脆弱的,因为它依赖于所有假设都保持正确。

生命不同。

生命真正需要的,是一种能够让时间自然流逝,同时又不让小的故障不断累积成系统性崩溃的结构。

这意味着:接纳噪声、包容瑕疵、允许冗余,并且拥有足够强大的反馈机制,去检测偏差,防止局部故障演变成系统性故障。

一个有韧性的系统,不依赖完美。

它依赖的是连续性。

即使是这张封面图,也是一个不完美的例子。

它带有AI生成的水印,甚至多出一只冗余的图标。

但它依然清晰地传达了自己的结构。

它不需要完美才能运作。

它只需要保持可运行、可适应,并且能够在持续的不完美中继续前行。

对我来说,这种“不完美”不仅仅是一个比喻。

我患有青光眼和精神分裂症。它们是我生命系统中两个长期存在的约束。CYSM 从来不是建立在“所有约束都必须先被消除”这一假设之上。它试图做的,是设计足够的缓冲、冗余和反馈机制,让这些约束不累积成系统性失败。

这背后是一种根本性的视角差异:

传统思维关注的是:发现故障,消除故障,恢复理想状态。

CYSM 关注的是:识别约束,设计缓冲与冗余,隔离局部故障,维持整体系统的可持续性。

真实的人生,无法在“零故障”的条件下运行。

更实际的目标,不是崩溃。

这也许正是 CYSM 更深层的教训之一:

一个具备韧性的生命系统,不需要完美。它只需要持续运行。

也许,经过数十年的运行,那些从外部看起来像是“宿命”的东西,不过是信号、约束、时间、稳定性、反馈和反复校准所共同呈现出来的可见结果。


【尾声二:理性、信仰与心理缓冲】

写完这篇反思后,我想起托马斯·阿奎那的一句名言:“缺乏信仰的理性是空洞的。”

这句话让我回望了一段沉重的历史——中国的文化大革命。当信仰被当作旧物连根拔起,纯粹靠狂热的理性去维系系统时,整个社会的心理缓冲层被彻底清零。一旦遭遇真实的经济与生存冲击,系统便因为没有缓冲而付出了惨痛的代价。这正好印证了 CYSM 的“零因子法则”:当稳定性(信仰)为零,再庞大的理性机器也会走向崩溃。

而另一半,“缺乏理性的信仰是盲目的”,则让我重新审视自己的心理缓冲层——我追随父亲,敬奉武财神关羽。

我并非陷入盲目的崇拜。我用工程的逻辑,将这份来自父亲的信仰,校准为我的“心理缓冲层”。关羽的“护”,在我的系统里被翻译为“系统可持续”。这不是迷信,这是理性与信仰在经历了跨代际的结构收敛后,共同长出的生命稳定态。

理性负责搭建系统的骨架,信仰负责守住系统的底线。
当理性与信仰各司其职,系统才能在不确定性中,实现真正的“非刻意运行”。

“稳定性”与“时间”出现了两次:一次作为基础前提,另一次作为操作变量。它们是处于不同抽象层级上的同一概念。

生命在先,框架在后。

个人稳定之源

对关羽的敬奉,承载着忠义、正气与神明庇护。

我跟随父亲信仰武财神关羽,并将他的“护”理解为一种象征性保证:系统可持续。

它赋予我一种独特的稳定感。

生活 → 经验 → 家庭传承 → 信仰 → 心理稳定 → 系统稳定

这条链条描述的是我个人心理缓冲层的形成路径,而不是 CYSM 作为系统框架的必要条件。CYSM 可以脱离任何特定信仰而独立运行。但对‘我这个人’而言,关羽信仰是心理稳定性的一个真实来源。

 


以上图片由Microsoft Copilot 提供 ,个人信息由 DeepSeek 和 Qwen AI 分析解读,并随后由 Claude 确认并最终确定。

这篇博文的视频概览,由 Google NotebookLM 在内容不断完善的过程中陆续生成。