Randomness as System
Maintenance Mechanism

I The First Principle 제1원칙

The entirety of this paper’s argument converges on this single principle. It is not a theorem derived from any single discipline, but a common pattern simultaneously observed at the deepest levels of quantum physics, evolutionary biology, neuroscience, information theory, and civilizational history. At every scale, constrained randomness plays the same role — it is not the system’s noise; it is the system’s heartbeat. Eliminate it, and the system does not become more perfect — it loses its adaptive capacity.

Humanity has long treated randomness as the enemy and determinism as the goal. Noise as defect, signal as value. Variation as error, uniformity as standard. Accident as risk, predictability as safety. This paper argues that this cognitive framework is, under certain conditions, inverted — what the system needs is not unlimited randomness (which would lead to chaos and collapse), but constrained generative randomness — a source of variation that can be screened, retained, and integrated.

A Typology of Randomness

To avoid positively valuing all randomness, this paper must distinguish different types — not all randomness is the system’s “heartbeat”:

The “heartbeat” this paper advocates primarily refers to the first three — generative, recombinatory, and exploratory randomness. The fourth (destructive randomness) is precisely what needs to be constrained and cleared by the system. Life’s strategy is not “maximize randomness,” but to maintain sufficient variation supply while controlling destructive randomness within tolerable bounds through repair, screening, and homeostatic regulation. The complete formulation of the First Principle is therefore: the system requires constrained generative randomness, not unlimited randomness.

II 58 Generations of Cloned Mice: The Countdown Without Randomness 클론 마우스 58세대: 무작위성 없는 죽음의 카운트다운

In March 2026, the team led by Teruhiko Wakayama at the University of Yamanashi, Japan published in Nature Communications the results of a 20-year experiment. Starting from a single female mouse, they performed serial cloning through somatic cell nuclear transfer, conducting over 30,000 cloning attempts and producing over 1,200 cloned mice. This is the longest-duration, most complete experiment in human history on “replication without randomness.”

Experimental Process

In the early stages, everything went smoothly. Using trichostatin A to improve success rates, cloning efficiency even slightly increased with each generation, reaching 15.5% by generation 26. These cloned offspring were generally healthy — normal weight, normal lifespan (approximately 2 years), with fully developed reproductive organs. The research team at one point optimistically believed serial cloning could continue indefinitely.

However, the turning point came at generation 27. From then on, cloning success rates declined continuously. By generation 57, the average success rate had plummeted to 0.6%. Finally, all generation-58 cloned mice died on the second day after birth. The experiment was forced to terminate.

Mechanism of Death

Through genetic testing, the research team identified the root cause. The mutation rate during cloning was three times that of natural reproduction, and the X chromosome loss rate was also threefold. Each generation of cloned mice accumulated approximately 70 new single-nucleotide variations and approximately 1.5 more severe structural variations. In normal sexual reproduction, paternal and maternal genomes randomly recombine, giving harmful mutations the opportunity to be masked by healthy alleles or cleared by natural selection. Cloning lacks this mechanism. Harmful mutations accumulated generation by generation, uncleared, invisible on the surface but silently eroding genomic integrity. Eventually, the accumulated mutation load crossed a critical threshold, and life’s resilience was crushed in an instant.

Evidence of Recovery

The most critical finding of the experiment: when near-terminal-generation cloned mice were naturally mated with males, their oocytes could be fertilized, but most embryos degenerated. However, a small number of embryos were normalized through meiosis and fertilization, successfully developing to term, with their offspring’s placental morphology returning to normal. The original paper’s conclusion: “Mammals rely on sexual rather than asexual reproduction to eliminate genetic abnormalities caused by clonal propagation.”

III Unified Verification Across Three Scales 3개 스케일의 통합 검증

The cloned mouse experiment proved the necessity of randomness in biological replication. But the First Principle’s claim is stronger — random variables sustain not only biological diversity, but the physical world itself. The following verifies this claim across three scales.

Quantum Scale: Randomness Is a Fundamental Feature of the Physical World

The following is the most speculative extension in this paper’s three-scale argument, with an evidence tier far weaker than the direct experimental evidence at the biological scale above. Quantum mechanics’ core discovery is: the deepest level of the physical world is not deterministic, but probabilistic. The outcome of a single quantum event is fundamentally unpredictable — this is not insufficient measurement precision, but a property of nature itself. Quantum randomness is not noise awaiting elimination; it is a constituent part of physical law.

In the companion paper “Dark Channels and the Intelligence Evaluation Formula,” quantum randomness is hypothesized as a deeper pathway for creative generation. The Penrose-Hameroff Orchestrated Objective Reduction model (a highly contested consciousness theory in mainstream physics and neuroscience) proposes the possibility of quantum computation in tubulin proteins. Whether insight — that cognitive event which is “neither logically derived nor purely random, yet simply correct” — involves quantum-level mechanisms is currently a highly speculative question and is not treated as core evidence for this paper’s First Principle. The fact that quantum randomness is a fundamental feature of the physical world is established; but the causal chain from quantum randomness to human creative insight remains an open hypothesis.

Biological Scale: Random Mutation Is the Raw Material of Evolution

The entire mechanism of Darwinian evolution rests on two pillars: random variation and natural selection. Natural selection is the sieve, but random variation is the raw material. Without variation produced by random mutation, natural selection has nothing to sieve — evolution stops, species lose adaptive capacity in the face of environmental change, and ultimately go extinct.

The 58-generation cloned mouse experiment is a direct demonstration of this logic. Cloning retained mutation (approximately 70 per generation, at three times the natural reproduction rate), but eliminated recombination. Merely eliminating this one source of randomness — recombination — was sufficient to terminate the lineage within 58 generations. A theoretical zero-mutation perfect replication might maintain short-term stability (because no mutations accumulate), but long-term would be extremely vulnerable to environmental change due to complete absence of adaptive variation. The cloned mouse experiment demonstrates an intermediate case — mutation present but recombination absent — whose collapse rate was already sufficient to terminate the lineage within 58 generations.

The very existence of sexual reproduction is evolution’s answer to this principle. Sexual reproduction is far less energy-efficient than asexual reproduction — requiring mate-finding, mating competition, and transmitting only half one’s genes. But evolution retained it, because the random recombination it provides is the guarantee of long-term species survival. Evolution trades short-term efficiency for long-term adaptability — this trade itself reveals that generative randomness is more valuable than pure replicative efficiency.

Civilizational Scale: Random Collisions Trigger Leaps

Every true leap in the history of human civilization occurred at a moment of diversity variable explosion. Ancient Greece — dozens of city-states, dozens of political experiments, dozens of philosophical schools simultaneously competing, from which emerged democracy, logic, geometry, and drama. The Renaissance — papal authority fractured, dozens of Italian cities each developing distinct art patronage systems, business models, and knowledge networks. The Scientific Revolution — the Protestant Reformation broke the single knowledge authority, dozens of natural philosophy traditions simultaneously exploring.

The structure of every leap is identical: multiple channels open simultaneously, variable space expands dramatically, dark channels are frequently triggered at diversity’s intersection points, insights emerge densely, then are concretized by System 2 into new civilizational forms. And what happens after every leap is also identical: successful patterns are quantified, standardized, institutionalized, and mass-replicated — diversity begins to collapse, channels begin to close, civilization enters an optimization period. The optimization period appears prosperous but is actually consuming the variation stock accumulated during the leap period. When that stock is exhausted, civilization stagnates.

  Quantum Scale       Biological Scale      Civilizational Scale
  ─────────          ─────────             ─────────
  Quantum randomness  Random gene mutation   Random cultural collision
      │                   │                      │
      ▼                   ▼                      ▼
  Dark channel         Variation raw          New ideas emerge
  knowledge blocks     material               
  (highly speculative) (direct evidence)      (historical analogy)
      │                   │                      │
      ▼                   ▼                      ▼
  Insight/creation     Adaptive evolution      Civilizational leap
      │                   │                      │
      ▼                   ▼                      ▼
  Eliminate randomness  Eliminate              Eliminate diversity
  = close exploration   recombination          = adaptability declines
    pathways            = progressive 
                         lineage collapse
  
  ═══════════════════════════════════════════════════
  Common principle: Constrained generative randomness = source of system adaptability
  Complete elimination of variation capacity = system loses long-term adaptability
  

IV Layered Randomness: The Dialectic of Standardization and Randomness 분층적 무작위성: 표준화와 무작위성의 변증법

The First Principle requires a critical structural qualification: not all standardization suppresses randomness. In complex systems, base-layer standardization can serve precisely as the prerequisite for upper-layer random emergence.

Life itself is the best illustration. DNA uses only 4 bases (A, T, G, C); ATP is the nearly universal energy currency of all life; the genetic codon table is highly conserved across all known organisms — this is extremely “rigid” base-layer standardization. But it is precisely this absolute base-layer quantification that supports the infinite diversity of upper-layer biological forms. The permutations of 4 bases have produced all biological diversity from cyanobacteria to blue whales. Standardized base-layer protocols enable the variation produced by random mutation and recombination to be stably inherited, expressed, and screened.

Therefore, a more precise formulation of the First Principle should distinguish two types of standardization:

This paper critiques the contraction of variation space by suppressive standardization, not standardization itself. The healthy state of civilization may be precisely an appropriate balance between the two types of standardization: sufficiently standardized base-layer protocols to ensure stable system operation, and sufficiently open upper-layer space to ensure that variation and innovation continue to occur. The current risk is that suppressive standardization is spreading from the upper layer toward the base layer — not only locking expression formats, but beginning to lock thinking paths and cognitive patterns.

V Seven Evidence Chains of Human Regression 인류 퇴화의 7중 증거

If the First Principle holds, then any systematic elimination of randomness will lead to system degradation. Human civilization is currently eliminating randomness from at least seven dimensions simultaneously, each producing measurable degradation signals.

These seven are not parallel phenomena but may be multiple nodes on a single causal chain. The weakening of specific selection pressures (6) may be one starting point — the reduction of old selection pressures related to cognition and self-control. Behavioral-cognitive homogenization (2) and variable disappearance (4) are intermediate processes — convergence engines and globalization compressing variation space. Innovation slowdown (5) and the intelligence decline trend (1) are possible cognitive outputs. Wealth concentration (3) may structurally reinforce this cycle. The decline in reproductive capacity (7) is the most alarming biological signal. This paper presents these seven as a candidate integration framework, without excluding independent mechanisms and localized counter-trends for each phenomenon.

VI The Reproductive Crisis: Monetizing Regression 생식 위기: 퇴화의 화폐화

Global sperm counts have declined by nearly 60% since 1973. Some researchers have proposed cautionary predictions based on trend extrapolation, but linear extrapolation to a specific year of reaching zero is scientifically contentious — sperm count decline does not necessarily directly equate to an equivalent decline in male fertility rates. The global average fertility rate has fallen from 5 children per woman in the 1960s to 2.2 in 2024. According to the WHO, approximately 17.5% of the global adult population — 1 in 6 people — experiences infertility.

Meanwhile, the global fertility treatment market grew from $36.57 billion in 2024 to $39.88 billion in 2025, and is projected to reach approximately $87.05 billion by 2034, with a CAGR of 9.06%. In the US alone, total IVF cycles surged from 389,993 in 2022 to 432,641 in 2023.

Hidden here is a bidirectional harvesting economic structure. Two groups profit — the first are those who create the problem: the petrochemical industry, processed food industry, and consumer electronics industry, whose products (endocrine disruptors, high-sugar processed foods, 24-hour screen stimulation) systematically destroy human reproductive capacity, and they profit from the destruction. The second are those who repair the problem: the assisted reproduction industry, mental health industry, and attention deficit medication industry, who profit from the repair. Both destroyers and repairers make money, while the bill falls on the same group — the ordinary individuals who have been destroyed. Wealth flows out of their hands twice, ultimately converging at the same apex.

IVF technology itself may to some extent change the direction of selection pressures. Embryo screening allows humans to avoid serious genetic diseases and improve pregnancy success rates according to medical criteria — a legitimate medical goal. But if screening criteria expand from “disease avoidance” to “optimization of specific traits,” this could long-term compress genetic variation space. This inference is currently at the theoretical stage; modern IVF practice has not yet reached the level of large-scale genotype unification.

VII The Self-Terminating Paradox of Creative Destruction 창조적 파괴의 자기 종결 역설

Schumpeter’s “creative destruction” — new order born through the destruction of old order — gains a deeper interpretation within this framework, as well as a more pessimistic corollary.

What are the conditions for creative destruction to occur? Within this paper series’ framework, it requires three elements simultaneously present: unpredictable creative generation (regardless of whether its source is cross-domain association, accidental discovery, cognitive reorganization, or deeper mechanisms); System 2 abstracting it into a new theory or model; System 1 concretizing it into a new implementable order. The iPhone’s birth was exactly such a process — one of Jobs’ breakthrough insights was concretized into a new product, which then creatively destroyed the entire old phone industry.

But here lies a self-terminating paradox: once the product of creative destruction succeeds, it establishes an order that eliminates the conditions for creative destruction. The industry standards established after the iPhone’s success systematically eliminated the conditions for producing the next iPhone-level breakthrough — all manufacturers converge on the same form factor, design space collapses from infinite dimensions to parameter fine-tuning, creation is replaced by optimization.

  Dark channel activates → Insight emerges → System 2 abstracts → System 1 concretizes
       │                                                              │
       │                                                              ▼
       │                                                Creative destruction:
       │                                                new order is born
       │                                                              │
       │                                                              ▼
       │                                                Quantification: success
       │                                                pattern is standardized
       │                                                              │
       │                                                              ▼
       │                                                Diversity vanishes:
       │                                                variation space collapses
       │                                                              │
       │                                                              ▼
       └──── Dark channel drowned by noise ◄──── Creative conditions eliminated
  
  Each successful creative destruction
  weakens the possibility of the next creative destruction.
  

The success of quantification is self-terminating — it solidifies an accidental discovery from the variable world into a deterministic system, then uses that deterministic system to suppress all other accidental discoveries. This is not a peculiarity of any one company or industry; it is the inherent logic of quantification itself.

VIII Information Gravity: The Self-Verification of the Dark Channel 정보 중력: 암채널의 자기 검증

This paper proposes an extended hypothesis: information gravity.

The human brain possesses information gravity. Within the cognitive science framework, information gravity can be defined as: the selective capture of external information by incomplete cognitive schemata. Candidate mechanisms include attentional bias, predictive processing, semantic priming, and problem incubation. When an individual is long immersed in an unsolved problem, the relevant cognitive schema remains in a state of sustained activation, exhibiting a higher capture probability for any external information that structurally matches that schema.

This explains a commonly observable phenomenon: why different people “see” completely different things from the same information stream. A short-video platform pushes thousands of pieces of content daily; the algorithm is the same for everyone (in a statistical sense), yet different people dwell on different content. The mainstream explanation is the interaction of interest preferences and algorithmic recommendations. But the information gravity hypothesis offers a deeper explanation: the dark channel has already pre-installed an embryonic knowledge structure in certain people’s brains, and this embryo exerts gravity on specific information, causing it to be selectively captured.

This also explains why insight often has a seemingly accidental “trigger” — Newton’s apple, Archimedes’ bathtub, Kekulé’s snake dream. These triggers do not themselves contain the answer, but their structure happens to match the incomplete model that has been long maintained in the brain, causing scattered cognitive fragments to suddenly integrate into a complete schema. The apple did not teach Newton about gravity — the apple allowed the gravity problem consciousness that had long accumulated in Newton’s brain to complete its final integration.

A corollary of the information gravity hypothesis: individuals with long-term problem maintenance should exhibit statistically measurable selective attentional bias in daily information streams.

The epistemological risk of this hypothesis must be candidly acknowledged: it has a tendency toward unfalsifiability. If deep thinkers see validating information, it is explained as “gravitational capture”; if they don’t, it is explained as “the gravity well has not yet formed.” This “can explain anything” structure is dangerous in the philosophy of science. To give the information gravity hypothesis scientific rigor, at least one of the following conditions is needed: predicting that individuals with specific knowledge structures will exhibit statistically measurable attentional bias in specific types of information streams (measurable through eye tracking or reading time); or demonstrating that cross-domain experts have a higher “serendipitous association discovery rate” when browsing information outside their specialty than the domain-matched baseline. Until these conditions are met, information gravity should be regarded as an inspiring thought experiment, not a confirmed cognitive mechanism.

IX The Thermodynamic Endpoint of Convergence 수렴의 열역학적 종점

Projecting the First Principle onto civilization’s timeline, a systems-theoretic picture emerges.

Human civilization may be experiencing a contraction of effective state space — from a highly diverse, high-variation state toward a highly homogeneous, low-variation state. On the surface it appears to be “increasing order” — unified global markets, standardized production, universal language, algorithmic optimization. But this order may be the order of a “frozen state” — the static stability that follows a system’s loss of its capacity to produce new variation.

The essence of life is maintaining a creative disequilibrium at the edge of chaos. Organisms are dissipative structures far from thermodynamic equilibrium, maintaining dynamic orderliness through continuous input of energy and information — but this orderliness includes the capacity for random variation. When a system’s variation capacity is suppressed, it degrades from dynamic order to static order. A qualification is needed: the “frozen state” used here is an analogy for the decline of information diversity and cultural variation, not fully equivalent to strict thermodynamic heat death (maximum entropy state). Civilizational convergence is effective state-space contraction, not a strict physical entropy change process.

Cloned mice appeared perfectly normal at generation 26, and the research team optimistically believed it could continue indefinitely. Human civilization may currently be at a similar stage — surface prosperity, positive indicators. But harmful “mutations” — the intelligence decline trend, innovation slowdown, declining reproductive capacity, narrowing diversity — may be accumulating in the dark.

The boundaries of this analogy must be qualified: cloned mice are a closed system with artificially locked genetics, while human civilization is an open system continuously exchanging energy and information with its external environment. Humans retain the possibility of reintroducing large-scale random variables through institutional innovation, educational reform, cross-cultural exchange, and even gene-editing technology. Complex adaptive systems possess redundant error-correction capability, and one should not prematurely pronounce civilization’s final verdict.

Complex systems theory proposes yet another possibility: a system compressed to high convergence may trigger spontaneous phase transitions through small perturbations (Kauffman, 1993; Bak, 1996). In edge-of-chaos theory, a system in a frozen state can undergo avalanche-like reorganization from local perturbation, spontaneously generating new diversity. Human civilization may not need to consciously “re-embrace randomness” — when suppressive standardization accumulates to a critical point, randomness may forcibly breach the suppressive system in the form of crisis. This is simultaneously hope and risk: unplanned phase transitions are often accompanied by enormous systemic costs. What the cloned mouse experiment proves is that “a closed system with completely eliminated recombination inevitably collapses”; whether human civilization is heading toward this extreme depends on whether it still retains the capacity to reopen variation space at the institutional level — this is an open question.

X Conclusion: Returning to the First Principle 결론: 제1원칙으로의 귀환

The four papers in this series — Cognitive Architecture Theory, The Essence of Scientific Civilization, The Quantitative World and the Variable World, Randomness as System Maintenance Mechanism — together with the companion paper Dark Channels and the Intelligence Evaluation Formula, depart from the microscopic neurophysiological mechanisms, traverse evolutionary biology, information theory, institutional analysis, and civilizational history, and ultimately converge on the same principle.

The random recombination of sexual reproduction provides species with a repair mechanism for clearing harmful mutations — the 58-generation cloned mouse experiment directly proved this over 20 years. The randomness of genetic mutation provides the raw material for natural screening. The random collision of cultural diversity triggers civilizational leaps. Enabling standardization (DNA bases, internet protocols) supports infinite variation above; suppressive standardization (disciplinary silos, algorithmic filter bubbles) contracts variation space.

Certain modern institutions and technologies tend to compress upper-layer variation space — but scientific civilization simultaneously creates tools for expanding variation space. Long-term civilizational health may depend on the dynamic balance across two dimensions: the stability of base-layer protocols and the openness of upper-layer variable space. Whether variable space is effectively expanding is one of the core indicators for measuring long-term adaptability, but not the only one.

The cloned mouse experiment has already provided the answer at the biological level: the way forward lies not in more precise replication, but in maintaining effective recombination and variation mechanisms. At the civilizational level, this means protecting the base-layer stability of enabling standardization while resisting the spread of suppressive standardization into upper-layer expression and exploration space. This is a dynamic balance requiring continuous monitoring and institutional design, not a final verdict already determined.