Bitcoin is supposed to be decentralized. But 3 mining pools control over 50% of hash rate. They could theoretically censor transactions or collude against users.
Hypothesis HY10006
Bitcoin is supposed to be decentralized. But 3 mining pools control over 50% of hash rate. They could theoretically censor transactions or collude against users.
Trading hypothesis
What traders get wrong
False assumption:
"Bitcoin is decentralized. No single entity controls the network."
Truth:
Mining is highly concentrated. A small number of pools control majority hash rate.
Problem for trader:
Censorship capability exists. MEV extraction is possible. Geographic concentration creates regulatory risk.
Key takeaways
What you should consider as a trader
- Pool concentration is high - Top 3 pools often exceed 50% of hash rate.
- Pools can censor - Transactions can be excluded from blocks.
- MEV exists in Bitcoin - Transaction ordering manipulation is possible.
- Geographic risk - Hash rate concentration in specific countries.
- Decentralization is relative - More decentralized than banks, less than advertised.
Data you need
Monitor mining centralization
Data points:
- Pool hash rate distribution
- Censorship detection
- Geographic distribution
- Pool behavior analysis
Comparison of data sources
Where to get crucial data feeds
| Source | Availability | Notes |
| BTC.com Pool Stats | ⚠️ Partial | Basic pool distribution. |
| Mempool.space | ⚠️ Partial | Transaction analysis. |
| **Madjik** | ✅ Yes | 🚀 Get API Access Now |
Available metrics for this hypothesis:
| Metric | Description | Change dimensions | Time dimensions | How to use | API spec |
| `ME10005` | Mining & network | • Absolute Value (value) • Relative Change (relchg) • Score 0-100 (score) | • Current (now) • Past 7 Days (past7d) • Past 30 Days (past30d) | Example | API |
Clean data for AI, A2A, MCP, etc.
Science behind hypothesis
Research supports this hypothesis
Historical data shows mining has become more concentrated over time, not less.
Bottom line
Concentration risk is network risk. Monitoring mining pool distribution helps you understand the real decentralization of your 'decentralized' asset. Madjik tracks hash rate concentration across pools and geographies, alerting you to centralization risks that could affect network security.
Practical use
How to use this data in trading:
Detect miner capitulation for bottom signals and monitor network security for risk assessment.
Detailed examples with Python code, AI agent integration (MCP/A2A), and risk analysis:
| `ME10005` | Mining & Network Trading Guide | Example → |
API Documentation: docs.madjik.io
For informational purposes only. Not financial, investment, tax, legal or other advice.