Angus McCoss

Jung’s concept of synchronicity describes meaningful coincidence as an “acausal connecting principle” linking inner psychic states and outer events through significance rather than efficient causation. Although phenomenologically compelling, this formulation remains difficult to integrate with naturalistic accounts of life, cognition, and meaning. This paper proposes a qualitative biosemiotic theory of human synchronistic experience, shifting attention from synchronicity as an ontological claim to the experience of an event as meaningful, unexpected, and causally opaque. The Jungian term “synchronicity” is applied here to human symbolic affairs, not to nonhuman organisms or ecosystems. More-than-human biosemiotics provides the broader theoretical background for understanding sign processes, salience, _Umwelt_, and organism–niche coupling. The central claim is that a human synchronistic experience is most likely to arise when three conditions converge: a sign-event is experienced as personally or symbolically meaningful; it is surprising relative to the subject’s anticipations; and its causal pathway is not apparent to the subject. This reframes a significant class of apparently acausal meaningful coincidences as the experiential surface of hidden, delayed, distributed, social, or technologically mediated feedback. Jung’s scarab case illustrates how a classic synchronistic event depends not merely on iconic resemblance or indexical timing, but on symbolic interiority within the analytic situation. Internet recommendation systems provide an engineered analogy for synchronistic-like experience generated through opaque feedback, while niche construction, trace-bearing environments, social mediation, and symbolic recursion provide natural analogues in human life. The paper offers a middle position between reductive scepticism and metaphysical inflation: synchronistic experiences may be psychologically and semiotically real without requiring acausal explanation.

This essay develops a relational framework for physical law in which reality is understood not as substance distributed in spacetime, but as algebraic coherence among interacting quantities. Extending Emmy Noether’s theorem, it proposes that, alongside the familiar symmetries of time, space, and rotation — which conserve energy, momentum, and angular momentum — there exists a reflective symmetry governing awareness. This symmetry preserves the continuity of relational coherence, experienced phenomenologically as consciousness, while entropy marks the local breaking of that coherence. Mathematically, two tensor fields are introduced — Aµ(awareness) and Sµ(entropy) — whose coupling defines a reflective tensor with conserved divergence, expressing the invariance of knowing through transformation. The result unifies thermodynamic and informational descriptions of the universe: entropy disperses order, awareness conserves it. Consciousness, in this light, appears as the Noetherian invariant of the relational cosmos — the enduring continuity through which the universe knows itself.

An original quantum foundations concept of a deep learning computational Universe is introduced. The fundamental information of the Universe (or Triuniverse)is postulated to evolve about itself in a Red, Green and Blue (RGB) tricoloured stable self-mutuality in three information processing loops. The colour is a non-optical information label. The information processing loops form a feedback-reinforced deep learning macrocycle with trefoil knot topology. Fundamental information processing is driven by ψ-Epistemic Drive, the Natural appetite for information selected for advantageous knowledge. From its substrate of Mathematics, the knotted information processing loops determine emergent Physics and thence the evolution of super-emergent Life (biological and artificial intelligence). RGB-tricoloured information is processed in sequence in an Elemental feedback loop (R), then an Operational feedback loop (G), then a Structural feedback loop (B) and back to an Elemental feedback loop (R), and so on around the trefoil in deep learning macrocycles. It is postulated that hierarchical information correspondence from Mathematics through Physics to Life is mapped and conserved within each colour. The substrate of Mathematics has RGB-tricoloured feedback loops which are respectively Algebra (R), Algorithms (G) and Geometry (B). In Mathematics, the trefoil macrocycle is Algebraic Algorithmic Geometry and its correlation system is a Tensor Neural Knot Network enabling Qutrit Entanglement. Emergent Physics has corresponding RGB-tricoloured feedback loops of Quantum Mechanics (R), Quantum Deep Learning (G) and Quantum Geometrodynamics(B). In Physics, the trefoil macrocycle is Quantum Intelligent Geometrodynamics and its correlation system is Quantum Darwinism. Super-emergent Life has corresponding RGB-tricoloured loops of Variation (R), Selection (G) and Heredity (B). In the evolution of Life, the trefoil macrocycle is Variational Selective Heredity and its correlation ecosystem is Darwin’s ecologically “Entangled Bank”.