u/pdentropy

Image 1 — LAD Framework + Zen Basketball Geometry — A new way to think about shooting development and court control.
Image 2 — LAD Framework + Zen Basketball Geometry — A new way to think about shooting development and court control.
Image 3 — LAD Framework + Zen Basketball Geometry — A new way to think about shooting development and court control.
Image 4 — LAD Framework + Zen Basketball Geometry — A new way to think about shooting development and court control.
Image 5 — LAD Framework + Zen Basketball Geometry — A new way to think about shooting development and court control.

LAD Framework + Zen Basketball Geometry — A new way to think about shooting development and court control.

New frameworks for shooting development and court control — moving from aesthetics to repeatable geometry and environmental awareness

Most young shooters are not learning elite mechanics. They are learning survival compensations.

Hey coaches,

I’ve been working on two interconnected frameworks that try to move beyond traditional “form” cues and toward something more fundamental:

The hidden geometry underneath elite shooting. Instead of chasing perfect mechanical aesthetics (especially the Steph Curry copycats), this breaks elite shooting into three repeatable geometric variables that great shooters protect regardless of style.

Curry and Klay look completely different mechanically, but both preserve the same Line-Arc-Depth stability under pressure.

  1. Zen Basketball Geometry (Control)
    A broader framework for environmental orchestration on the court — combining internal stability (Wooden-style), flow geometry, functional control, and spatial awareness.

This idea also encompasses hand/thumb size and arm length as predominant physical factors many good and great players have.

The core idea: The highest basketball state is controlled awareness under pressure.
I’ve attached both infographics. Would genuinely love feedback from coaches and trainers:

What resonates? What’s missing?

Does this feel practical for youth/AAU/high school work? Any parts you’d change?

Happy to answer questions or expand on any section. Looking forward to your thoughts.

u/pdentropy — 3 days ago
▲ 100 r/poodles+1 crossposts

Bella loves her Dachshund toy.

Bella is 80% poodle. Loves to guard. Loves to watch. Loves to swim and fetch. And yes I got a dna test.

u/pdentropy — 4 days ago

Why do Polish people bury their dead with their asses out of the ground?

So they have a place to park their bikes.

reddit.com
u/pdentropy — 5 days ago

Why did the Tron program break up with his girlfriend?

Because she used too much RAM and kept trying to control its space on the grid.

reddit.com
u/pdentropy — 5 days ago

Hamburger helper with extra pasta and parmesan

I’ve got weed but am down to eating out of the pantry

u/pdentropy — 5 days ago
▲ 28 r/PRINCE

Prince & Rosie Gaines ~ Nothing Compares 2 U

This is the best version of the song. Period. Imperfections make it better.

My wife passed away and this is our anthem. She loved it alive and I know she’s watching whenever I play it.

youtu.be
u/pdentropy — 5 days ago

Concept study exploring whether highly symmetric geodesic emitter distributions could maintain field coherence more effectively under partial node failure than randomized distributions.

The first image compares structural degradation between random and geodesic arrangements after emitter loss. The second applies the same idea to a speculative distributed field architecture visualization.

This is not presented as solved physics or a finished propulsion model. This is mostly an exploration of topology, redundancy, coherence, and geometric stability in hypothetical future field systems.

A geodesic sphere tests as the best node distribution system within a gravity well. This has real world value, perhaps, as use for antenna and array technology where distribution between nodes degrades signals. Satellite arrays, drone swarms, power grid stabilization, sensor arrays, magnetic containment/plasma systems and mesh networks and internet structures all could be improved if calculations are correct.

Possible Mathematical Direction:

One possible framework relevant to this concept is Riesz energy minimization and spherical distribution theory.

In simplified form, systems distributing interacting nodes across a sphere often attempt to minimize an energy function similar to:

E_s = \sum_{i \neq j} \frac{1}{|x_i - x_j|^s}
where:

x_i and x_j represent node positions

|x_i - x_j| is the distance between nodes

s controls interaction strength

Highly symmetric geodesic arrangements may reduce localized interference, clustering instability, and coherence degradation under partial node failure compared to randomized distributions.

This does not demonstrate propulsion or exotic physics. The idea is simply that geometry itself may influence how distributed systems preserve coherent field behavior under stress, interruption, or loss of synchronization.

Anxious to hear your thoughts.

u/pdentropy — 6 days ago

Concept study exploring whether highly symmetric geodesic emitter distributions could maintain field coherence more effectively under partial node failure than randomized distributions.

The first image compares structural degradation between random and geodesic arrangements after emitter loss. The second applies the same idea to a speculative distributed field architecture visualization.

This is not presented as solved physics or a finished propulsion model. This is mostly an exploration of topology, redundancy, coherence, and geometric stability in hypothetical future field systems.

A geodesic sphere tests as the best node distribution system within a gravity well. This has real world value, perhaps, as use for antenna and array technology where distribution between nodes degrades signals. Satellite arrays, drone swarms, power grid stabilization, sensor arrays, magnetic containment/plasma systems and mesh networks and internet structures all could be improved if calculations are correct.

Anxious to hear your thoughts.

u/pdentropy — 6 days ago

I’m trying to ask this in the simplest possible way.

Imagine two spherical systems with the same number of emitters.

One has the emitters placed randomly across the surface. The other has them distributed evenly across the surface, like a geodesic or triangular lattice.

Assume each emitter contributes to a combined field using a simple distance-based falloff and superposition model.

If both systems lose the same percentage of emitters, would the evenly distributed system generally preserve a smoother and more stable aggregate field?

I’m not proposing a new physics model here. I’m asking whether this geometry effect is already known in areas like antenna arrays, sampling, spherical codes, or distributed sensor systems.

Would Riesz energy minimization or spherical point distribution be the right direction to look?

reddit.com
u/pdentropy — 8 days ago