Definition · Chain Position 5 of 346

BIT DEFINITION

"God separated the light from the darkness"

— Genesis 1:4

Bit = minimal unit of distinction (binary choice)

Scripture Bridge
Genesis 1:4: The theological grounding for this concept.

Connections

Objections & Responses
Objection: Continuous Information
"Real numbers contain infinite information. Information isn't discrete."
Response

The Bekenstein bound proves otherwise—finite regions contain finite bits. "Infinite precision" real numbers are mathematical abstractions, not physical realities. Every measurement has finite precision. The universe is quantized at Planck scale. Continuous descriptions are approximations to underlying discrete structure.

Objection: Qubits Aren't Binary
"A qubit can be in superposition—not just 0 or 1"
Response

Correct, but measurement of a qubit yields exactly one bit. The superposition |0⟩ + |1⟩ collapses to |0⟩ or |1⟩ upon observation ([[045_A6.1_Superposition|A6.1]]-[[046_A6.2_Collapse|A6.2]]). The bit is the output of quantum measurement. Qubits extend the bit; they don't replace it.

Objection: Trits and Higher Bases
"Why not ternary? Why binary?"
Response

Any base-n digit is reducible to ⌈log₂(n)⌉ bits. The bit is minimal because 2 is the smallest integer > 1. Distinction itself ([[002_A1.2_Distinction|A1.2]]) is inherently binary: X or not-X. The bit captures this logical minimality.

Physics Layer

Planck-Scale Discretization

Natural units suggest fundamental discreteness:

  • Planck length: ℓ_P = √(ħG/c³) ≈ 1.6 × 10⁻³⁵ m
  • Planck time: t_P = ℓ_P/c ≈ 5.4 × 10⁻⁴⁴ s
  • Planck area: A_P = ℓ_P² ≈ 2.6 × 10⁻⁶⁰ m²

Bekenstein bound implies discrete information:

N_{bits} \leq \frac{2\pi R E}{\hbar c \ln 2} = \frac{A}{4 \ell_P^2 \ln 2}

Maximum bits in a sphere = area/(4 Planck areas). Information is counted in BITS, not continuous quantities.

Mathematical Layer

Binary Representation Theorem

Any integer n ≥ 0 has unique binary representation:

n = \sum_{i=0}^{k} b_i 2^i, \quad b_i \in \{0,1\}

Bit depth: ⌈log₂(n+1)⌉ bits encode integers 0 to n.

Extension to reals: Binary expansion x = Σ b_i 2^(-i) (may be infinite). Computable reals have finite K-complexity descriptions.

Evidence
Empirical Grounding
This isn't philosophy. This is measured.
  • Stern-Gerlach
  • Bekenstein Bound
  • Landauer's Principle
  • Lloyd's Computational Universe
  • Holevo Bound
Defeat Conditions

To Falsify This

  1. Demonstrate a unit of information smaller than a binary choice
  2. Show that binary distinction is not the minimal case of [[002_A1.2_Distinction|A1.2]]
  3. Prove that continuous information (nats) is more fundamental than discrete (bits)
Cross-Domain Mappings
Domain Mapping
Physics Observables / Contrast
Theology Genesis 1 ordering
Consciousness Qualia
Quantum Quantum distinguishability
Scripture Genesis 1:4 light/dark
Evidence QM experiments
Information Distinction as bit

Bridge Count: 7