Version: 1.0.0
Status: Extremely Overengineered
Accuracy: ±37 Pizzas
The Quantum Recursive Pizza Consumption Predictor (QRPCP) is a revolutionary computational framework designed to determine the optimal number of pizza slices an individual should consume.
Unlike primitive systems that rely on hunger alone, QRPCP incorporates:
- Quantum pizza theory
- Lunar synchronization
- Feline observation statistics
- Recursive friendship economics
- Bro momentum mechanics
The goal of QRPCP is to answer one question:
"How much pizza should I eat?"
while using as much mathematics as possible.
| Variable | Description | Range |
|---|---|---|
H |
Hunger Level | 0-100 |
P |
Number of Pizzas Available | 0-∞ |
F |
Nearby Friends | 0-∞ |
M |
Moon Phase | 0.0-1.0 |
C |
Visible Cats | 0-∞ |
T |
Room Temperature (Kelvin) | >0 |
W |
Times "Bro" Was Said Today | 0-∞ |
Measures both physical hunger and existential dissatisfaction.
- Increases with hunger.
- May trigger philosophical thoughts at high values.
Construct a matrix:
Where:
Creates a matrix solely so eigenvalues can be used.
Calculate all eigenvalues:
The algorithm becomes 73% more scientific once eigenvalues are involved.
Adjusts pizza demand according to lunar alignment.
| Phase | Effect |
|---|---|
| New Moon | Neutral |
| Half Moon | Mild Increase |
| Full Moon | Maximum Pizza Power |
Measures accumulated social energy.
Every use of the word "bro" contributes to the Bro Field.
Models the effect of visible cats.
None has been found.
Accounts for pizza loss due to sharing.
function FriendshipDebt(F)
if F <= 0
return 1
return FriendshipDebt(F - 1) + F²
- More friends = less pizza.
- Introverts benefit significantly.
Convert score into actual slices.
if Slices > P × 8:
Slices = P × 8
Prevents consumption of pizzas that do not exist.
if Slices < 0:
Slices = 0
Negative pizza remains unsupported by current physics.
O(P³ + F! + H²log(H) + Cat-Induced Chaos)
≈ 1 Medium Galaxy
- Cannot account for garlic bread.
- Becomes unstable near black holes.
- Assumes all pizzas are circular.
- Accuracy decreases during solar eclipses.
- Does not support pineapple preference detection.
Input:
H = 87
P = 3
F = 2
M = 0.75
C = 4
T = 295
W = 143
Output:
Recommended Pizza Slices:
17
Confidence:
17.3%
| Computer | Runtime |
|---|---|
| Laptop | 2.4 seconds |
| Gaming PC | 0.8 seconds |
| NASA Supercomputer | 0.0001 seconds |
| Potato | Crash |
Copyright © 2026
Permission is hereby granted to use, modify, distribute, and laugh at this algorithm for any purpose.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, INCLUDING BUT NOT LIMITED TO:
- Mathematical correctness
- Nutritional advice
- Reality
- Common sense
Use at your own risk.
"Because simply counting pizza slices would be too easy."