FES Fractal Stream Visualisation
This visualisation is designed to expose weakness, not conceal it.
Any structural bias, correlation, or pattern within the stream will become visible through alignment, repetition, or clustering.
A clean, fully dispersed image indicates absence of exploitable structure under this mapping.
This view renders the raw FES fractal stream.
Each circle represents three bytes mapped directly to RGB colour, using matrix-stepped sampling to preserve spatial alignment across the stream.
The output is fully deterministic—identical inputs always produce the same visual pattern.
This is not random noise. The image is a direct visual expression of your password and transformation settings, revealing both distribution and structural characteristics of the stream.
RGB channels are aligned to the same matrix positions across three sequential layers of the stream.
This preserves spatial relationships rather than mixing adjacent bytes, allowing structural or correlated patterns to emerge visibly if present. In the absence of such patterns,
the result appears fully dispersed.
How to Explore
Open two browser windows side by side and vary one option at a time.
If you change the Password or Fractal OTP text, use the Visualise Fractal Stream button to update the matrix and stats.
Changing Transformation Options will update immediately.
Even the smallest change will produce a completely different pattern.
Compare results to see how each setting reshapes the underlying stream.
What to Look For
Uniform colour distribution indicates balanced byte output.
Total pattern change from small input variation demonstrates strong diffusion.
A lack of visible structure or repetition suggests low bias in the stream.
In the matrix-stepped RGB view, absence of aligned patterns (horizontal, vertical, or diagonal) indicates no spatial or layered correlation within the stream.
FES Stream Statistics
The statistics describe the generated FES fractal stream.
Stream Size is the total number of bytes in the current visualisation. Average is the mean byte value (0–255, ideal 127.5).
Compressibility measures how well the stream can be reduced using compression. Values near 100% indicate no exploitable structure.
Randomness
FES does not attempt to generate conventional randomness. These measures provide a statistical view typically applied to random or pseudo-random byte streams.
Entropy reflects distribution uniformity (maximum 8).
Chi-Square compares byte distribution to uniform expectation (≈255).
Serial Correlation measures dependence between adjacent bytes (ideal 0).
These measures describe statistical properties only and do not capture structural or sequential organisation within the stream.
The FES stream quality is determined by its resistance to exploitable structure and predictability, not by adherence to conventional randomness measures.