THE LABORATORY / LOOKING IS NOT ENOUGH

Can you see
what has changed?

A perturbation may be hiding in a signal. Or your intuition may be playing tricks. Answer first, then discover what the detectors saw.

01 / THE BLIND CHALLENGE

Your eyes. Then the algorithms.

SYNTHETIC SIGNAL

Where does the added perturbation begin? Click the plot, or use the slider with your keyboard. You can also answer that no perturbation was injected. One answer reveals the result.

The challenge begins when you are ready.

02 / THE MACHINE TAKES THE TEST TOO

What Trinity finds.
What it misses.

JSON report

Generated signals, hidden changes and validation seeds kept separate from training. The current 1/fβ slope is compared with three simple methods on the same trials.

Connecting to the laboratory…

The joint false-alarm rate will be measured on the validation controls.

THIRD-PARTY ARCHIVES / ANOTHER TEST

Methods meet other signals.

Comparison JSON

A fixed set of annotated Numenta Anomaly Benchmark (NAB) archives, separate from Trinity's measurements. The β64 prototype uses 64 consecutive samples: it is distinct from the production detector and the synthetic trials above.

Loading the archive comparison…

03 / AN EXPERIMENT YOU CAN REPEAT

The rules are fixed before the test.

01

Build the controls

White noise, pink 1/f noise, correlated noise and a daily rhythm: ordinary backgrounds that can already fool a detector.

02

Hide a change

Level, variance, periodicity or spectral texture, at several amplitudes and durations. Detectors do not receive the injection time.

03

Keep the trials separate

Training controls set comparator thresholds. Other seeds then evaluate sensitivity, delay and false alarms.

04

Keep the misses

Code and parameter fingerprints precede validation. Checkpoints allow resumption. No threshold is retuned to improve the resulting score.

The laboratory measures tools on these synthetic scenarios. Observatory investigations keep their real data, dates and registry separate.