wealth-distribution-rock-paper-scissors
Wealth distribution scenarios based on rock-paper-scissors game.
TODO: Explain what this is about, how to use it and add screencasts. Explore the implications.
Running
Prepare the Python virtual environment:
python -m venv venv
. venv/bin/activate
pip install -r requirements.txt
Run the application:
python wealth-distribution-rock-paper-scissors.py
You can tweak the configuration in wealth-distribution-rock-paper-scissors.py
before running the application:
class CONF:
initial_wealth = 5 # should be >= 1; smaller numbers give more dramatic results
debt_treshold = 0 # should be <= 0; or None for unlimited debt
gini_revolution_treshold = 0.7 # should be > 0 and < 1; None for no revolution
References
- Ugo Bardi. The Seneca Effect: Why Growth is Slow but Collapse is Rapid
- Mark Sponsler. What is a storm?
- Buck Shlegeris. Gini coefficient calculator
- Walter Scheidel. The Great Leveler: Violence and the History of Inequality from the Stone Age to the Twenty-First Century
- Robert MacCulloch. Income Inequality and the Taste for Revolution
- Kohler, T., Smith, M., Bogaard, A. et al. Greater post-Neolithic wealth disparities in Eurasia than in North America and Mesoamerica (and a summarizing article)
- Max Roser and Esteban Ortiz-Ospina. Income Inequality
- Lane Kenworthy and Timothy Smeeding. Growing inequalities and their impacts in the United States
- Google search for Gini index