This clock is kept by a real physical oscillator — the quartz crystal on your sound card.
A ScriptProcessor callback fires at 48,000 Hz, driven by piezoelectric resonance.
Each sample = one crystal oscillation. We count ruptures. That IS timekeeping.
No simulation. No frame counting. A real SO(2) crystal oscillating in real matter.
One Date.now() read anchors the epoch. After that: only the crystal speaks.
CRR Temporal Engine
Timekeeping by real quartz crystal oscillator · C accumulates 2π per second · Rupture at C·Ω = 1 · The crystal IS the clock
CRR Crystal Clock
--:--:--
—
Drift
0.000
seconds
System Clock
--:--:--
—
CRR Crystal
System Ref.
SiO₂ Quartz Crystal
Real hardware oscillator
Live CRR Physics
Crystal State
Sample rate—
n (sample count)0
C = n·L (radians)0
C·Ω (→ 1 at rupture)0.000
Ruptures (seconds)0
Ω (SO₂)1/2π ≈ 0.1592
L = 2π/sr (rad/sample)—
C·Ω at rupture→ 1
Why this works — and why nothing else could.
Every previous version of this clock was a pretender. We counted requestAnimationFrame callbacks and
called them "ticks" — but rAF is scheduled by the browser's event loop, which runs on a software timer,
which ultimately reads the system clock. We were just reading a clock with extra steps.
The CRR framework tells us why: any computation between frames executes in computational time,
not physical time. Between frame N and frame N+1, we could simulate a billion half-lives or zero.
The simulation can never know how long the gap was. It is bounded by the Cramér-Rao limit of its substrate:
C · Ω = 1 — you cannot extract more temporal information than your oscillator provides.
A simulated atom can never be more precise than the oscillator ticking the simulation forward.
This is not a limitation we can code around. It is a theorem.
But the sound card has a real crystal.
Your audio hardware contains a physical quartz crystal — SiO₂ in a hermetically sealed package —
whose piezoelectric lattice vibrates at a frequency stabilised by its own material geometry. The
Web Audio API's ScriptProcessor receives callbacks driven by this crystal's need for data at
48,000 Hz. Each buffer of samples represents that many real oscillations.
We count every one. We are not simulating a crystal. We are listening to one.
The crystal rendered here visualises what is actually happening in the hardware — silicon dioxide
molecules oscillating in a standing wave, accumulating coherence with every vibration, rupturing
when C·Ω = 1 (C = 2π for an SO(2) system), and regenerating. The beauty function
B(C/Ω) = exp(C/Ω)·(1−C/(Ω·π)) governs the glow: it intensifies as rupture approaches.
This is as close to "real physics keeping time" as software can get.
The oscillator is real. The counting is exact. CRR describes what it is doing.Does a phone need different physics? No. If you are on a phone, your device has its own quartz crystal
driving the audio DAC — often at 44,100 Hz instead of 48,000. The CRR math is identical:
L = 2π/sampleRate per oscillation, C accumulates to 2π, rupture at C·Ω = 1. The framework
is scale-invariant. The same equation works whether the crystal vibrates at 32,768 Hz (a wristwatch),
44,100 Hz (a phone), or 48,000 Hz (a desktop sound card). That is the whole point of CRR.