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 |
|---|---|---|---|---|---|---|
| EFTA01730748.pdf | tagged | — |
...FD-597
(U) Lab # [REDACTED): 1 disk
(U) Photo provided by [REDACTED]
(U) [REDACTED] interview notes
(U) [REDACTED) Interview n...
|
Al Gore | 30% |
context
|
| EFTA01730748.pdf | tagged | — |
...# [REDACTED): 1 disk
(U) Photo provided by [REDACTED]
(U) [REDACTED] interview notes
(U) [REDACTED) Interview notes
(U) [REDAC...
|
Al Gore | 30% |
context
|
| EFTA01730748.pdf | tagged | — |
...ACTED] interview notes
(U) [REDACTED) Interview notes
(U) [REDACTED] notes
(U)
2021-00585-2 QUESTIONED DOCUMENTS
(U) [REDACTE...
|
Al Gore | 30% |
context
|
| EFTA01730748.pdf | tagged | — |
...X CASE
(U//FOLIO) RE: VICTIM ASSISTANCE PROGRAM
(U//FOUO) [REDACTED]
(U//FOLIO) TO DOCUMENT SERVICE OF GRAND JURY SUBPOENA TO [...
|
Al Gore | 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.