When the rhythm
breaks.
In some signals, slow and fast variations form patterns resembling 1/f noise. Our line of inquiry: examine the moments when that structure changes.
SEARCHING FOR THE GLITCH
The search, live.
Loading measured changes and connections across domains.
INDEPENDENT OBSERVATORY · 1/fᵝ
A déjà vu. A repetition. A detail out of place.
What if we started by looking closer?
Trinity · 1/fβ explores the simulation hypothesis by comparing signals from the world. The goal: spot anomalies, connect the clues and put each lead to the test.

The same cat. Two passes.
01 — THE INTUITION
The Sun, the Earth, the markets, the Web: different worlds, changing signals. Trinity tracks shifts in their rhythm and looks for changes that echo across them.
An ambitious question. Open data.
And the patience to keep looking.
02 — EYES OPEN
Ten public streams, five domains. The charts track changes in their rhythm: each detected shift opens a line of inquiry.
WHERE SIGNALS MEET
Changes from different domains are compared within a three-hour window.
The rhythm of a signal. The spectral slope β describes how a signal's variations are distributed across slow and fast frequencies. Trinity looks for changes relative to the same sensor's history. Quantum randomness is monitored directly through bit bias and compressibility.
Connecting the clues. Two changes from different domains within three hours form a coincidence. Time shifts, sampled 2,000 times, help place these connections against the reference model. The results are starting points for investigation.
Test details will be available with the data.
03 — FOLLOW THE THREAD
Observe. Cross-check. Repeat.
In some signals, slow and fast variations form patterns resembling 1/f noise. Our line of inquiry: examine the moments when that structure changes.
An isolated change catches the eye. Several changes close in time across distant domains raise a more interesting question: what do they have in common?
Monitor the addresses of the services we follow, timestamp their appearance and compare them with anomaly windows. A new trace starts an investigation; its return gives us a reason to continue.
04 — FLEETING ADDRESSES
The VM records DNS responses and the connections it actually uses. The goal: identify an address associated with a detected change, then test whether that connection recurs.
Connecting to the network log…
Control periods help distinguish routine addresses from appearances linked to the same conditions.
THE CROSS-CHECK
Independent validation tests the existing thresholds on control series.
05 — A MESSAGE IN A DIGITAL BOTTLE
Two personal phrases, encoded in binary. A beacon repeats its message at regular intervals from the VM and verifies its receipt on the Trinity server.
A communication experiment driven by the same question: how far can a signal be understood?
01101101 01110101 01110011 01110100 01100010 01100101 01101001 01101101 01101101 01101111 01110010 01110100 01100001 01101100
01101101 01110101 01110011 01110100 01100010 01100101 01110010 01101001 01100011 01101000
↳ The full personal identifier stays in the private configuration.
06 — THE TRACES REMAIN
| UTC TIMESTAMP | SIGNAL | DOMAIN | DEVIATION / VALUE | DURATION |
|---|---|---|---|---|
| Loading the log… | ||||
Every observation is timestamped, preserved and available for review.
OBSERVATORY CASE FILES
First detection, measurement time, parameters and revisions: every observation remains traceable as the investigation develops.
Loading the case files…
The register preserves the first snapshot, even if the data changes later.
Did you miss something?