0. Positioning (objectivity)

This article is not a policy manifesto. It is an attempt to describe a recurring failure pattern that appears when a nation is viewed as a large-scale system. The focus is not ideology or approval ratings, but systems design and operations.

  • It does not target specific events or individuals; it explains structural dynamics.
  • It uses terms like “primary data,” “secondary data,” “asynchrony,” and “synchronization failure” to abstract the phenomenon.
  • The conclusion is not “who is right,” but “what an SoS requires to remain stable.”
  • The goal is to help readers understand the premises needed to make their own judgments.

1. This is not political criticism

This article is not written to criticize any specific administration, party, or individual. The point is to explain what structural risks emerge when primary data is downplayed in national-level decision-making.

This is not a matter of political philosophy, but of systems design and operations. Like corporate management, financial systems, and distributed computing, a nation behaves as a large system. From that viewpoint, signs of instability can often be explained as a universal failure pattern.

2. Primary data and secondary data are fundamentally different

The first step is clarifying what counts as primary data and what counts as secondary data.

2-1. What is primary data?

Primary data is data that directly reflects the state of the system. At a national scale, examples include:

  • Real-economy movement (consumption, investment, employment)
  • Budget execution progress and delays
  • Behavior shifts in firms and households
  • Market supply/demand and interest-rate sensitivity

These reflect reality itself, even with time lags and frictions.

2-2. What is secondary data?

Secondary data is aggregated, interpreted, or summarized information derived from primary data, such as:

  • Approval ratings
  • Opinion polls
  • Evaluations, expectations, narratives

Secondary data can help decision-making, but it does not guarantee the system’s true state. It moves fast, but it does not move reality by itself.

The problem is that secondary data is often “easier” and more “immediate,” so it can be promoted to the main decision driver.

3. A nation is a System of Systems (SoS)

A nation is not a single centralized control system.

  • Households
  • Firms
  • Fiscal system
  • Financial system
  • Administration
  • Diplomacy
  • Security

Each is an autonomous subsystem. The whole system works precisely because it is not fully synchronized. That is the core structure of an SoS.

In an SoS, the following principles matter:

  • Each subsystem makes autonomous decisions
  • The whole system moves asynchronously
  • The center cannot control everything simultaneously
  • State awareness is only possible through accumulation of primary data

Once these premises are ignored, the system can destabilize rapidly.

4. What “pre-evaluation decisions” mean

A “pre-evaluation decision” is a decision made before sufficient primary data is available, assuming that the overall system is doing well.

In SoS terms, this is roughly equivalent to:

Forcing a system-wide resynchronization before state reports from lower-level nodes have arrived

This is one of the most dangerous operations in an SoS:

  • It ignores lagging signals
  • It mistakes local “mood” for global state
  • It breaks asynchrony

The result is that subsystems experience unexpected simultaneous load.

5. The chain reaction triggered by sidelining primary data

Once pre-evaluation decisions occur, the following chain tends to follow almost automatically.

5-1. Fiscal synchronization failure

With insufficient primary data, budgeting and execution diverge, and delays become likely. This is less a “political mistake” than a design inevitability.

5-2. Autonomous financial behavior

When fiscal and political predictability declines, the financial system starts moving within its own responsibility boundaries. A central bank may appear “strong,” not due to power expansion, but as an alternative stabilization behavior.

5-3. Lagged real-economy response

Changes in rates and financial conditions hit the real economy with a time lag. Consumption and investment can cool quietly.

5-4. Reduced external negotiating power

To outsiders, a nation with internal synchronization issues becomes easier to pressure into unfavorable terms. This is not “diplomatic posture,” but a problem of system legibility.

6. Moral achievements are not primary data

Progress on security or humanitarian issues can be politically and morally important. However, in SoS terms, they are not primary data that directly reflects the system state.

  • They do not directly move consumption
  • They do not directly advance budget execution
  • They do not directly change financial conditions

Precisely because these themes are heavy, using them as system-state triggers can be risky.

7. What the “forbidden move” is

From an SoS perspective, the forbidden move can be defined as:

Forcing system-wide resynchronization before primary data has sufficiently arrived

This operation tends to have the following properties:

  • Systems with enough slack do not need it
  • Systems that can wait for outcomes do not use it
  • Only a pressured center tends to select it

Even if it “works,” it is hard to reuse. If it fails, it can trigger long-term instability. It is a highly asymmetric-risk operation.

8. Why a “landslide win” becomes an outlier

Without sufficient primary data, system reactions tend to disperse. In an autonomous distributed system, the probability of the entire system reacting strongly in one direction is low.

Overwhelming success is structurally an outlier and lacks reproducibility. Rational decision-making should not be built on outliers.

9. Conclusion: An asynchronous SoS stays stable only by “waiting”

A nation as an SoS is not a system that becomes stable by rushing.

  • Wait for primary data to arrive
  • Respect asynchrony
  • Do not judge the whole system by local mood

These are not moral virtues; they are operational requirements for system stability.

A nation that refuses to wait for primary data may look “light” in the short term. But the cost tends to appear with a time lag.

The more a system rushes, the more it tends to break from the inside.

This is not primarily about “who is right,” but about structure.