FSD->MSP->DCA
CRJ -> CRJ
EARLY MORNING BANK
FEBRUARY 2026
ARRIVAL: G3 - DEPARTURE: G3
P(gate symmetry) ~= 5-10%
Not luck. Structure.

A curious coincidence that wasn't.

Flying FSD->MSP->DCA on a CRJ, I landed at Gate G3 and departed from Gate G3. The same gate. At a hub airport. On a connecting itinerary.

Most people would call it lucky and move on. Instead: what is the actual probability of this? And why is the answer not 1/K where K is the number of CRJ-compatible gates?

"A seemingly trivial passenger observation reveals the structure of a distributed, real-time, stochastic optimization system operating near equilibrium. And sometimes, the system remembers you."

That question became Episode 01 - a conditional probability decomposition across gate selection, temporal feasibility, and assignment stability. With an entropy interpretation. And a loyalty-tier extension that shows a Diamond flyer sees 50x better odds than a base-tier traveler.

Skyhounder is what happens when a graph theorist gets stranded in a hub airport and starts asking the right questions.

The math is the point.
Not decoration.

Every episode is built around a real formulation - not hand-waving. The gate symmetry result emerges from a multiplicative decomposition under conditional independence.

GitHub Pages lets us render it properly. No LinkedIn. No compromises. KaTeX inline with live NetworkX computations.

EP.01 - GATE SYMMETRY DECOMPOSITION
P(S | RJ, W) =
  P(A(e2) = g | e1, RJ, W)
  . P(Tg <= D)
  . P(no reassignment | W)

~= 1/K . 0.90 . 0.90

// K=15 -> P(S) ~= 5.4%
// Not luck. Constrained optimization.
MSPFSDDCAORDLAXBOSABRDENATLSEA