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Triz

4 min read

Based on the sources, the detection of “weak signals” or outliers is primarily interpreted as an emergent artifact of the “net”—the structural and mathematical frameworks (the “station points”) chosen by the observer—rather than a mere property of individual sensory capability.

The sources suggest that while individual capability is often limited by “psychological inertia,” structured methodologies allow observers to catch signals that are otherwise invisible.

1. The “Net” of Multi-Screen Vision

Individual sensory capability is often restricted to a “one-screen” vision, focusing only on the system in the present[1]. This narrow frame leads to “ordinary thinking” where weak signals in the environment or internal subsystems are missed[1].

• The Net: TRIZ utilizes a “nine-screen vision” (the System Operator) that forces the observer to frame the inquiry across three hierarchical levels (System, Super-system, Subsystem) and three temporal states (Past, Present, Future)[2][3].

• Detection: By expanding this “net,” an observer can detect signals—such as requirements from a future super-system or historical subsystem failures—that an individual relying on sensory intuition alone would discard as irrelevant[4][5].

2. Mathematical Framing and “Invariants”

Observers are “naturally very biased” and their individual sensory/logical capability often leads to different, subjective interpretations of the same data[6][7].

• The Net: Modern developments in the sources advocate for the LT-basis (Length-Time basis), a mathematical-physical frame[6][8].

• Detection: This system identifies “invariants”—properties shared by effects of different physical natures[9][10]. For example, by using this frame, an observer can detect that “capacitance” and “length” are the same physical essence (L1T0), allowing them to “see” analogies and signals across disparate scientific fields that would appear as unrelated outliers in a traditionalSI framing[8][10].

3. Boundary Judgments in “Sequence Space”

In the engineering of evolution, the detection of novel traits is a direct result of how the observer “samples” the inquiry.

• The Net: The concept of the “evotype” requires an observer to choose an appropriate sample of potential evolutionary dispositions[11][12].

• Detection: The “scope of the evotype covered” is a boundary judgment determined by the observer’s knowledge of the design’s intended function and context[11]. If the observer’s “net” is too small, they will fail to detect “plasticity”—the ability to generate new features without loss of function[13][14].

4. Outliers as “Anomalies” of the Frame

The sources illustrate that “outliers” often exist only because the observer’s current “net” is insufficient to explain them.

• The “Pioneer Anomaly”: The slight deceleration of the Pioneer 10 and 11 spacecraft was detected as a “gravity mystery” or outlier by traditional physics[15][16].

• Reframing: When the inquiry was reframed using the “Law of Conservation of Flow” (an LT-based net), the anomaly was detected not as an outlier, but as a predictable result of the “Hyper Low Density Gas” flow in space[17][18].

5. Filtering via Fuzzy Logic

To overcome the limitations of individual sensory capability when ranking information, the sources suggest using triangular fuzzy numbers[19][20].

• The Net: Instead of a binary “signal/no-signal” judgment, experts provide an “opinion range”[19].

• Detection: This mathematical frame allows for the “retention of information” and “reduces information loss” caused by subjective bias, ensuring that subtle or “weak” expert insights are caught rather than averaged out into mediocrity[19][21].

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