Poker Hands

stochastic-process · 37 views
stochastic-processhigh-entropy

What It Is

Stream of poker hand ranks (High Card through Royal Flush) --- extremely skewed: ~50% High Card, ~42% Pair, <0.002% Straight Flush or better

Interpretation

Standard analysis sees: heavy-tailed; right-skewed; few distinct values; aperiodic / broadband. The atlas finds no named structure, but the source is distinctively extreme on Attractor Reconstruction:embedding_divergence_sum (-3.4z) — beyond what the standard bank predicts for it.

What standard analysis sees
tail heaviness0.88
asymmetry0.90
occupancy0.10
short-range corr0.36
long-range memory0.39
spectral colour0.70
periodicity0.07
complexity0.49
time-irreversibility0.36
volatility clustering0.28
multifractality0.39
dimensionality0.77
nonstationarity0.45
What the atlas adds
Atlas-extreme metrics the standard bank can’t predict for this source
Attractor Reconstruction:embedding_divergence_sum-3.4zbank-miss 1.7σ

Composition

dtypeuint8
range[0, 226]
unique values9 / 16384
mean ± std17.4 ± 22.1

Fixed alphabet — only 9 distinct symbols across 16384 samples.

Render Gallery

Atlas Position

Nearest neighborDistance
Collatz Gap Lengths2.66cross-origin
Categorical Sensor3.45
Geometric Waiting Times3.94

Open in Atlas →

Which Geometries Light Up

G2 Root System › G2 Root System:pair_angle_kurtosisrank 302/306-1.9614
Klein Bottle › Klein Bottle:wht_spectral_kurtosisrank 305/3061.3816
Visibility Graph › Visibility Graph:degree_r_squaredrank 4/3060.9630
Zipf–Mandelbrot (16-bit) › Zipf–Mandelbrot (16-bit):zipf_alpharank 1/3062.7422
Zipf–Mandelbrot (8-bit) › Zipf–Mandelbrot (8-bit):zipf_alpharank 1/3063.8710
in random-matrix-quantum
alphabetical
← / → within domain · ⇧← / ⇧→ alphabetical · ⇧← / ⇧→ inside an open render = same view across sources