Polkadot Slashing Analysis

This project analyzes slashing events on the Polkadot network to assess validator performance and risk metrics. Data is sourced from Polkadot Subscan.

Overview

Tanssi, built on Substrate framework (stable2407 as of Jul-29-2024), uses default Substrate slashing mechanisms without custom modifications. Analysis shows significant improvement in validator stability since the stable release.

Key findings from 2024:

• Number of Slashes: 57
• Total Stake Slashed: -0.0174%
• Average Slash Size: 0.0003%
• Effective Negative APY: -0.0174% (1.74% of delegated capital)

Visualizations

Cumulative Slashing Events

Daily Slashing Events

The graphs demonstrate reduced slashing events after the stable release, averaging one slash per month.

Project Structure

├── data/            # Raw data files (*.txt)
├── src/            
│   ├── process_slashing.py    # Initial data processing
│   ├── filter_slashing.py     # Remove duplicate era slashes
│   ├── visualize_slashing.py  # Daily slashing visualization
│   ├── visualize_cumulative.py # Cumulative trends
│   └── calculate_apy.py      # APY impact analysis
├── output/          # Generated visualizations and filtered data
└── README.md

Setup and Execution

1. Install Poetry

2. Install dependencies:

poetry install

3. Run scripts in sequence:

python src/process_slashing.py
python src/filter_slashing.py
python src/visualize_slashing.py
python src/visualize_cumulative.py
python src/calculate_apy.py

Scripts will process raw data from data/ directory and generate:

• Filtered slashing data (CSV)
• Visualization graphs (PNG)
• Console output with APY impact analysis

Data Processing

• Converts timestamp format to UTC
• Removes duplicate slashes from same era/validator
• Calculates perbill fractions for accurate APY impact
• Generates time-series visualizations