Redaction Analysis Engine

Mapping what they don't want you to see

9,031 redactions detected across 2,830 documents

9,031

Total Redactions

2,830

Documents Affected

6,523

With Candidate Matches

Clusters Identified

Who's Behind the Black Bars?

Al Gore

politician Named in Files

Matched 1674 redactions

Avg confidence: 83.7% (HIGH)

Bill Gates

business Inner Circle

Matched 1044 redactions

Avg confidence: 100.0% (HIGH)

Ghislaine Maxwell

co-conspirator Inner Circle

Matched 1010 redactions

Avg confidence: 45.0% (MEDIUM)

Lawrence Krauss

academic Named in Files

Matched 461 redactions

Avg confidence: 35.1% (LOW)

Eva Dubin

business Inner Circle

Matched 444 redactions

Avg confidence: 97.2% (HIGH)

Glenn Dubin

business Inner Circle

Matched 408 redactions

Avg confidence: 100.0% (HIGH)

Mort Zuckerman

business Named in Files

Matched 245 redactions

Avg confidence: 38.3% (LOW)

Joi Ito

academic Named in Files

Matched 212 redactions

Avg confidence: 86.1% (HIGH)

Sarah Kellen

co-conspirator Inner Circle

Matched 150 redactions

Avg confidence: 99.7% (HIGH)

Sultan Ahmed bin Sulayem

business Named in Files

Matched 136 redactions

Avg confidence: 92.1% (HIGH)

Prince Andrew

royalty Inner Circle

Matched 41 redactions

Avg confidence: 94.1% (HIGH)

Alan Dershowitz

attorney Inner Circle

Matched 29 redactions

Avg confidence: 35.9% (LOW)

Jay Lefkowitz

attorney Inner Circle

Matched 26 redactions

Avg confidence: 78.5% (HIGH)

George Mitchell

politician Named in Files

Matched 22 redactions

Avg confidence: 60.0% (MEDIUM)

Jean-Luc Brunel

co-conspirator Inner Circle

Matched 16 redactions

Avg confidence: 100.0% (HIGH)

Steve Bannon

politician Named in Files

Matched 12 redactions

Avg confidence: 60.0% (MEDIUM)

Nadia Marcinkova

co-conspirator Inner Circle

Matched 11 redactions

Avg confidence: 92.7% (HIGH)

Leon Black

business Named in Files

Matched 10 redactions

Avg confidence: 35.0% (LOW)

Anil Ambani

business Named in Files

Matched 9 redactions

Avg confidence: 35.0% (LOW)

Stephen Hawking

academic Named in Files

Matched 5 redactions

Avg confidence: 55.0% (MEDIUM)

Leslie Wexner

business Inner Circle

Matched 3 redactions

Avg confidence: 100.0% (HIGH)

Noam Chomsky

academic Named in Files

Matched 3 redactions

Avg confidence: 90.0% (HIGH)

George Church

academic Named in Files

Matched 3 redactions

Avg confidence: 60.0% (MEDIUM)

Lesley Groff

co-conspirator Inner Circle

Matched 2 redactions

Avg confidence: 52.5% (MEDIUM)

Donald Trump

politician Inner Circle

Matched 2 redactions

Avg confidence: 60.0% (MEDIUM)

Redaction Types

XXXXX Patterns

4,047

FOIA Exemptions

2,599

Tagged [REDACTED]

2,217

Black Bars

168

FOIA Exemption Decoder

b7E

829 occurrences

Law Enforcement Techniques — Investigation methods

b7C

542 occurrences

Law Enforcement Privacy — Personal privacy of subjects/witnesses

b7A

275 occurrences

Law Enforcement — Could interfere with proceedings

b1A

170 occurrences

Unknown exemption code

b7F

125 occurrences

Unknown exemption code

b7D

83 occurrences

Confidential Source — Identity of informants

b1C

73 occurrences

Unknown exemption code

b1B

72 occurrences

Unknown exemption code

b2A

61 occurrences

Unknown exemption code

b7B

55 occurrences

Unknown exemption code

b3B

53 occurrences

Unknown exemption code

b3A

45 occurrences

Unknown exemption code

b2C

44 occurrences

Unknown exemption code

b2B

37 occurrences

Unknown exemption code

b5B

15 occurrences

Unknown exemption code

b4I

14 occurrences

Unknown exemption code

b4B

12 occurrences

Unknown exemption code

b1E

11 occurrences

Unknown exemption code

b1F

9 occurrences

Unknown exemption code

b1D

8 occurrences

Unknown exemption code

b5A

8 occurrences

Unknown exemption code

b3C

6 occurrences

Unknown exemption code

b6C

6 occurrences

Unknown exemption code

b2D

5 occurrences

Unknown exemption code

b1J

4 occurrences

Unknown exemption code

b1G

3 occurrences

Unknown exemption code

b1H

3 occurrences

Unknown exemption code

b3D

3 occurrences

Unknown exemption code

b4A

3 occurrences

Unknown exemption code

b7S

3 occurrences

Unknown exemption code

b1K

2 occurrences

Unknown exemption code

2 occurrences

Unknown exemption code

b2E

2 occurrences

Unknown exemption code

b4E

2 occurrences

Unknown exemption code

b1I

1 occurrence

Unknown exemption code

b1L

1 occurrence

Unknown exemption code

b1R

1 occurrence

Unknown exemption code

b4D

1 occurrence

Unknown exemption code

b5C

1 occurrence

Unknown exemption code

b5D

1 occurrence

Unknown exemption code

b6A

1 occurrence

Unknown exemption code

1 occurrence

Unknown exemption code

b7G

1 occurrence

Unknown exemption code

b7H

1 occurrence

Unknown exemption code

b7I

1 occurrence

Unknown exemption code

b7K

1 occurrence

Unknown exemption code

b7O

1 occurrence

Unknown exemption code

b9A

1 occurrence

Unknown exemption code

Redaction Clusters

Al Gore

1674 redactions — avg score: 83.7% — View redactions

Al Gore appears as top candidate for 1674 redactions across 749 documents (avg score: 0.837)

Bill Gates

1044 redactions — avg score: 100.0% — View redactions

Bill Gates appears as top candidate for 1044 redactions across 520 documents (avg score: 1.000)

Eva Dubin

444 redactions — avg score: 97.2% — View redactions

Eva Dubin appears as top candidate for 444 redactions across 309 documents (avg score: 0.972)

Glenn Dubin

408 redactions — avg score: 100.0% — View redactions

Glenn Dubin appears as top candidate for 408 redactions across 354 documents (avg score: 1.000)

Joi Ito

212 redactions — avg score: 86.1% — View redactions

Joi Ito appears as top candidate for 212 redactions across 152 documents (avg score: 0.861)

Ghislaine Maxwell

194 redactions — avg score: 66.3% — View redactions

Ghislaine Maxwell appears as top candidate for 194 redactions across 107 documents (avg score: 0.663)

Sarah Kellen

150 redactions — avg score: 99.7% — View redactions

Sarah Kellen appears as top candidate for 150 redactions across 116 documents (avg score: 0.997)

Sultan Ahmed bin Sulayem

136 redactions — avg score: 92.1% — View redactions

Sultan Ahmed bin Sulayem appears as top candidate for 136 redactions across 82 documents (avg score: 0.921)

Prince Andrew

41 redactions — avg score: 94.2% — View redactions

Prince Andrew appears as top candidate for 41 redactions across 34 documents (avg score: 0.941)

Jay Lefkowitz

26 redactions — avg score: 78.5% — View redactions

Jay Lefkowitz appears as top candidate for 26 redactions across 13 documents (avg score: 0.785)

George Mitchell

22 redactions — avg score: 60.0% — View redactions

George Mitchell appears as top candidate for 22 redactions across 2 documents (avg score: 0.600)

Jean-Luc Brunel

16 redactions — avg score: 100.0% — View redactions

Jean-Luc Brunel appears as top candidate for 16 redactions across 14 documents (avg score: 1.000)

Mort Zuckerman

13 redactions — avg score: 97.7% — View redactions

Mort Zuckerman appears as top candidate for 13 redactions across 13 documents (avg score: 0.977)

Steve Bannon

12 redactions — avg score: 60.0% — View redactions

Steve Bannon appears as top candidate for 12 redactions across 6 documents (avg score: 0.600)

Nadia Marcinkova

11 redactions — avg score: 92.7% — View redactions

Nadia Marcinkova appears as top candidate for 11 redactions across 10 documents (avg score: 0.927)

Search & Filter Redactions

Clear

6,523 results found

Document	Type	FOIA	Context	Top Candidate	Score	Signals
EFTA00096142.pdf	tagged	—	... harass both [redacted] delay and hinder their receipt of a [redacted] to attend an official proceeding" and that the defendant "...	Lawrence Krauss	35%	context
EFTA00096142.pdf	tagged	—	...nt "in particular, changed travel plans and flew with both [redacted] to the United States Virgin Islands rather than to an airpo...	Lawrence Krauss	35%	context
EFTA00096142.pdf	tagged	—	...to delay their receipt of what Mr. Epstein expected to be a [redacted]" and "further verbally EFTA00096149 Honorable Henry Pitma...	Lawrence Krauss	35%	context
EFTA00096142.pdf	tagged	—	...tates Magistrate Judge July 8, 2019 Page 9 harassed both [redacted] in connection to this attempt to delay their voluntary rece...	Lawrence Krauss	35%	context
EFTA00099021.pdf	foia	b1A	...s v. Medearis, 380 F.3d 1049, 1057 (8th Cir. 2004) (Rule 16(b)(1)(A) does not require disclosure of impeachment evidence); Unite...	Lawrence Krauss	35%	context
EFTA00099790.pdf	tagged	—	...tatements that the defendant had "attempted to harass both [redacted] delay and hinder their receipt of a [redacted] to attend an...	Lawrence Krauss	35%	context
EFTA00099790.pdf	tagged	—	... harass both [redacted] delay and hinder their receipt of a [redacted] to attend an official proceeding" and that the defendant "...	Lawrence Krauss	35%	context
EFTA00099790.pdf	tagged	—	...nt "in particular, changed travel plans and flew with both [redacted] to the United States Virgin Islands rather than to an airpo...	Lawrence Krauss	35%	context
EFTA00099790.pdf	tagged	—	...to delay their receipt of what Mr. Epstein expected to be a [redacted]" and "further verbally EFTA00099797 Honorable Henry Pitma...	Lawrence Krauss	35%	context
EFTA00099790.pdf	tagged	—	...tates Magistrate Judge July 8, 2019 Page 9 harassed both [redacted] in connection to this attempt to delay their voluntary rece...	Lawrence Krauss	35%	context
EFTA00100380.pdf	tagged	—	...tatements that the defendant had "attempted to harass both [redacted] delay and hinder their receipt of a [redacted] to attend an...	Lawrence Krauss	35%	context
EFTA00100380.pdf	tagged	—	... harass both [redacted] delay and hinder their receipt of a [redacted] to attend an official proceeding" and that the defendant "...	Lawrence Krauss	35%	context
EFTA00100380.pdf	tagged	—	...nt "in particular, changed travel plans and flew with both [redacted] to the United States Virgin Islands rather than to an airpo...	Lawrence Krauss	35%	context
EFTA00100380.pdf	tagged	—	...to delay their receipt of what Mr. Epstein expected to be a [redacted]" and "further verbally EFTA00100401 Case 1:19-cr-00490-RM...	Lawrence Krauss	35%	context
EFTA00100380.pdf	tagged	—	...tates Magistrate Judge July 8, 2019 Page 9 harassed both [redacted] in connection to this attempt to delay their voluntary rece...	Lawrence Krauss	35%	context
EFTA00103801.pdf	tagged	—	...tatements that the defendant had "attempted to harass both [redacted] delay and hinder their receipt of a [redacted] to attend an...	Lawrence Krauss	35%	context
EFTA00103801.pdf	tagged	—	... harass both [redacted] delay and hinder their receipt of a [redacted] to attend an official proceeding" and that the defendant "...	Lawrence Krauss	35%	context
EFTA00103801.pdf	tagged	—	...tman United States Magistrate Judge July 8, 2019 Page 9 [redacted] to the United States Virgin Islands rather than to an airpo...	Lawrence Krauss	35%	context
EFTA00103801.pdf	tagged	—	...to delay their receipt of what Mr. Epstein expected to be a [redacted]" and "further verbally harassed both [redacted] in connect...	Lawrence Krauss	35%	context
EFTA00103801.pdf	tagged	—	...ed to be a [redacted]" and "further verbally harassed both [redacted] in connection to this attempt to delay their voluntary rece...	Lawrence Krauss	35%	context
EFTA00104027.pdf	tagged	—	...tatements that the defendant had "attempted to harass both [redacted] delay and hinder their receipt of a [redacted] to attend an...	Lawrence Krauss	35%	context
EFTA00104027.pdf	tagged	—	... harass both [redacted] delay and hinder their receipt of a [redacted] to attend an official proceeding" and that the defendant "...	Lawrence Krauss	35%	context
EFTA00104027.pdf	tagged	—	...nt "in particular, changed travel plans and flew with both [redacted] to the United States Virgin Islands rather than to an airpo...	Lawrence Krauss	35%	context
EFTA00104027.pdf	tagged	—	...to delay their receipt of what Mr. Epstein expected to be a [redacted]" and "further verbally EFTA00104034 Honorable Henry Pitma...	Lawrence Krauss	35%	context
EFTA00104027.pdf	tagged	—	...tates Magistrate Judge July 8, 2019 Page 9 harassed both [redacted] in connection to this attempt to delay their voluntary rece...	Lawrence Krauss	35%	context

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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.

Redaction Analysis Engine

Who's Behind the Black Bars?

Redaction Types

FOIA Exemption Decoder

Redaction Clusters

Search & Filter Redactions

Methodology & Disclaimer

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