Utilize the Pauli Exclusion principle when boarding planes

Science: is there anything it can't do? Dr. Jason Steffen, a scientist at Fermilab, got frustrated with how inefficiently airlines board customers. So he used simulations with a Monte Carlo optimization algorithm to come up with a better way.

So what is the method? Here you go:

In his method, first, alternate rows on one side of the plane board, but just the window seats. Then the other side boards, in alternate rows with one row between each passenger. Again, window seats only. Then back to the other side, with the middle seats this time. And so on. The result is a beautiful choreography as rows of passengers simultaneously stow their luggage and take their seats in tandem.
The video below shows the method in action. And wouldn't you know it, it makes a lot of sense!Says an atomic phycisist

In other words, compute the Gibbs interference, then using that as the SNR, apply Shannon theory, as if you were a Wal Mart planner or a theoretical physicist.

Where is the spin?

Combine boarding and unboarding and you have spin. You have spin in the loading and unloading of the overhead compartment. The walk down the aisle is an electron orbit.

So we have passenger spin and luggage spin to deliver. We have electron charge down the aisle. Set up all the quantum numbers, selecting enough to cover the Gibbs variance, then create a set whose maximum mutual entropy Huffman encode to the required certainty. You should be able ti get the ideal yield curve using a Fibonacci sequence, actually you should be able to channelize each of the quantum numbers as independent mini channels, then use Fibonacci of multiple polynomials to get the common factors.

But, this is just math, and it can suffer garbage in adn garbage out by an improper isolation of the quantum sets.

[Work this out yourself and do not completely trust my math]