[OC] 2,000+ Android users scanned ~4,000 apps. Here’s what the data reveals about trackers, permissions and privacy risk

Data source: Anonymous aggregated data from real Android device scans via AppXpose. Results aggregated across 3,800+ unique apps from 2,000+ devices.

Tools: Python, Matplotlib

Methodology: Each app was analyzed at APK bytecode level: tracker SDKs, dangerous permissions, and a composite risk score (0–100) based on tracker count, permission types, developer breach history and certificate integrity.

No personal data collected all results are aggregated per app, not per user.