📖 Overview
Privacy risk usually spreads across many small leaks.
This calculator combines major exposure channels into one practical score you can reduce step by step.
Use it to prioritize account cleanup permission pruning and broker removal tasks.
🧪 Example Scenarios
Use these default and higher-pressure example inputs to explore how sensitive this calculator is before using your real numbers.
| Input | Base Case | Higher Pressure Case |
|---|---|---|
| Public Profiles Count | 6 | 6.9 |
| Risky App Permissions Count | 12 | 13.8 |
| Data Broker Records | 8 | 9.2 |
| Old Accounts Still Open | 9 | 10.35 |
⚙️ How It Works
Scores personal exposure from public profiles, over-permissioned apps, broker listings, and stale accounts.
The Formula
Privacy Score = weighted(exposed profiles, risky permissions, broker records, stale accounts)
| Public Profiles | Profiles with discoverable personal data |
| Risky Permissions | Apps with unnecessary high-scope access |
| Broker Records | Known data broker listings for your identity |
| Old Accounts | Unused accounts still holding personal data |
💡Largest risk reduction usually comes from closing stale accounts and permission cleanup before finer optimizations.
Quick Reference
| Score band | Exposure level | First remediation step |
|---|---|---|
| 0-29 | Contained | Quarterly hygiene review |
| 30-54 | Moderate | Permission cleanup + account audit |
| 55-79 | High | Broker opt-out + stale account purge |
| 80-100 | Critical | Full privacy hardening sprint |
When To Use This
- Use this tool when you need a fast decision during active planning or execution.
- Use this before committing money, time, or tradeoffs that are hard to reverse.
- Use this to compare options using the same assumptions across scenarios.
Edge Cases To Watch
- Results can be misleading if key inputs are missing, stale, or unrealistic.
- Very small or very large values may amplify rounding effects and interpretation risk.
- If assumptions change mid-decision, recalculate before acting.
Practical Tips
💡 Prioritize deleting stale accounts and reducing excessive app permissions.
💡 Broker opt-outs can materially reduce searchable data surface.
💡 Re-run audit monthly until score trend is clearly improving.
Frequently Asked Questions
❓ What moves score fastest?
Closing old accounts and permission cleanup usually produce large gains.
❓ Is this legal/privacy advice?
No, it is a practical exposure metric for personal hardening.