Redaction Analysis Engine
Who's Behind the Black Bars?
Redaction Types
FOIA Exemption Decoder
Redaction Clusters
Search & Filter Redactions
| Document | Type | FOIA | Context | Top Candidate | Score | Signals |
|---|---|---|---|---|---|---|
| EFTA01851888.pdf | foia | b1A |
... Elects Minority
New 0
Organization")
Public Charity
170(b)(1)(A)(vi)
Sponsoring Org Elects Majority of
Directors/Donor Ele...
|
George Mitchell | 30% |
context
|
| EFTA01917242.pdf | foia | b1A |
...el Elects Majority*,
Directors/BMGE Elects Minority
-
170(b)(1)(A)(vi)
Whin Label administers affiliated organization dedicat...
|
George Mitchell | 30% |
context
|
Methodology & Disclaimer
Candidate predictions are algorithmic estimates generated by pattern matching against document context, redaction length, FOIA exemption codes, and known associate proximity. They are NOT confirmed identities and are NOT accusations. This tool is for research purposes only. Not all redactions hide guilty parties — some exist for procedural, privacy, or national security reasons.
Signal weights: Length Match (35%), Context Keywords (25%), Name Proximity (25%), FOIA Role Match (15%). Scores above 70% = High Confidence, 40-70% = Medium, below 40% = Low.