ChronoFlux Arena
A visually rich chrononaut game-experiment where players enter a spacetime arena and try to make the local high-resolution browser clock run faster or slower against an online UTC reference lock. Each run performs a reference-time calibration before and after the intention phase, then exports raw samples, timing quality, and a tamper-evident hash for independent review.
This widget is intended to facilitate noetic science experiments exploring whether intention can influence time. The broader long-term vision is to investigate whether time-space influence, potentially combined with noetic AI and other emerging technologies, could contribute to future pathways relevant to faster-than-light travel. In the nearer term, the purpose is to help test whether humans can produce measurable effects at all.
Clock arena Run ID will appear after first play
Target: Speed up local time
Focus on the local clock gaining time against the online reference. The game score becomes positive if local elapsed time exceeds reference elapsed time.
Create a positive signed drift while keeping timing quality as clean as possible.
| # | Target | Raw | Adjusted | Z | P | RTT | Verdict | |
|---|---|---|---|---|---|---|---|---|
| No trials recorded yet. | ||||||||
How the measurement works exploratory, not a proof engine
This hosted widget is framed as a noetic science experiment. Its immediate role is to help explore whether human intention can influence measured timing behaviour at all. The broader aspirational vision behind that exploration is the possibility that time-space influence, perhaps later alongside noetic AI and other emerging technologies, could inform future work relevant to faster-than-light travel.
Each play estimates the offset between the browser wall clock and an online UTC reference before the intention phase, then estimates it again after the phase. The local duration comes from performance.now(), while the reference duration is reconstructed from the pre/post online offset estimates. The score is local elapsed − reference elapsed; positive scores favour “speed up,” negative scores favour “slow down.”
The widget now supports a no-intention baseline phase before intention trials. Baseline trials estimate ordinary positive or negative drift in the local/reference timing setup, and later speed/slow trials can be corrected by subtracting that baseline mean drift before z-scores, p-values, verdicts, and cumulative statistics are calculated. These values are useful for screening and export, but they should not be treated as formal proof unless the protocol, uncertainty model, and replication plan are independently validated.
Because browser timing, HTTP latency, Wi‑Fi, background throttling, and endpoint jitter can create millisecond-scale artefacts, the widget stores all raw timing samples and labels results conservatively. A single play is not evidence of time manipulation; the useful output is a repeatable, pre-specified dataset that can be analysed later.