Continuous—or Just Too Many Bits?

Why Quantum Discreteness Looks Smooth at Molecular Scale

John A. Wheeler’s dictum “it from bit” reminds us that reality is built from yes/no distinctions. At the Planck floor just five usable bits (25) survive; atomic ground states perch on that rung. Yet as we climb the bit-ladder to molecules and beyond, the quantum grain seems to vanish. The world has not become continuous—it has simply buried discreteness under a mountain of bits.

Bit-Budget by Scale

Typical Radius (r)Max Information* (bits)Nearest 2nObserver’s Impression
P (Planck) ≈ 10−35 m≈ 525Distinguishable
Hydrogen atom ≈ 0.05 nm≈ 2 × 106222Clear quantum steps
Typical molecule ≈ 1 nm≈ 4 × 109232Looks continuous
Human-scale object ≈ 1 m≈ 22002200Classical continuum

* Bekenstein–Hawking bound: Bitsmax = A / (4 ℓP2 ln 2) with A = 4πr2.

The Key Equation

Bitsmax(r) = (π / ln 2) · (r / ℓP)²
n ≈ log₂(π / ln 2) + 2·log₂(r / ℓP)

For r ≈ 1 nm, n ≈ 32—the “molecular rung.”

The Metaphysical Angle: Seeing Only the Visible Band

Our eyes register just a sliver of the electromagnetic spectrum (≈ 400–700 nm), so infrared and ultraviolet appear “invisible.” Likewise, at the coarse-grain human scale the 232–2408 rungs are so densely packed that their quantum staircase feels like a smooth ramp. Yet at the pure von Neumann fine-grain level every octave is still an integer log₂ count of bits.

She (20) is a single resolved identity. From 21 upward, that one fact blossoms into the Eternal Now—an arena 408 rungs thick where He (the unknowable future) dances with Her. To participants like us, the music sounds continuous only because we stand far from the stage. Closer in, each note is a crisp binary click: quantum, discrete, unblurred. The continuity we feel is simply our perceptual limit, not reality’s nature.

Author: John Rector

John Rector is the co-founder of E2open, acquired in May 2025 for $2.1 billion. Building on that success, he co-founded Charleston AI (ai-chs.com), an organization dedicated to helping individuals and businesses in the Charleston, South Carolina area understand and apply artificial intelligence. Through Charleston AI, John offers education programs, professional services, and systems integration designed to make AI practical, accessible, and transformative. Living in Charleston, he is committed to strengthening his local community while shaping how AI impacts the future of education, work, and everyday life.

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