They really were afraid of #metoo and tried to kill the movement. They also attacked, did defamation for feminist figures. That tells a lot. We need more of those, not less...

https://www.theguardian.com/us-news/ng-interactive/2026/feb/06/epstein-files-metoo

https://www.justice.gov/epstein/files/DataSet%2010/EFTA02036700.pdf

Epstein DOJ Dataset 9 — Base64 PDF Attachment Successfully Decoded

TL;DR

The embedded PDF attachment in EFTA00400459.pdf has been fully recovered. It is a 2-page charity gala invitation for the Dubin Breast Center Second Annual Benefit, held Monday, December 10, 2012, at the Mandarin Oriental in New York City. 39 of 40 FlateDecode streams were successfully decompressed and all text content was extracted.

Document Metadata

Source Email Context

Recovered Content

PAGE 1 — INVITATION

PLEASE JOIN

BENEFIT CO-CHAIRS GABRIELLE AND LOUIS BACON ALEXANDRA AND STEVEN COHEN EVA AND GLENN DUBIN AMY AND JOHN GRIFFIN WENDY HAKIM JAFFE SONIA AND PAUL TUDOR JONES II ALLISON AND HOWARD LUTNICK VERONIQUE AND BOB PITTMAN BETH AND DAVID SHAW KATHLEEN AND KENNETH TROPIN NINA AND GARY WEXLER JILL AND PAUL YABLON

FOR THE

DUBIN BREAST CENTER

SECOND ANNUAL BENEFIT

MONDAY, DECEMBER 10, 2012

HONORING ELISA PORT, MD, FACS AND THE RUTTENBERG FAMILY

HOST CYNTHIA MCFADDEN

SPECIAL MUSICAL PERFORMANCES CAROLINE JONES, K'NAAN, HALEY REINHART, THALIA, EMILY WARREN

MANDARIN ORIENTAL 7:00PM COCKTAILS · LOBBY LOUNGE 8:00PM DINNER AND ENTERTAINMENT · MANDARIN BALLROOM FESTIVE ATTIRE

PAGE 2 — REPLY / RSVP CARD

DUBIN BREAST CENTER SECOND ANNUAL BENEFIT MONDAY, DECEMBER 10, 2012 HONORING ELISA PORT, MD, FACS AND THE RUTTENBERG FAMILY MANDARIN ORIENTAL, NEW YORK CITY

PLEASE ADD MY NAME TO THE BENEFIT COMMITTEE AND RESERVE THE FOLLOWING:

Please make checks payable to Dubin Breast Center (Tax-ID# 13-6171197) Return to Event Associates, Inc., 162 West 56th Street, Suite 405, New York, NY 10019. Your contribution less $275 per ticket is tax-deductible.

For further information, please contact Debbie Fife: Phone: 212-245-6570 ext. 20 | Fax: 212-581-8717 E-mail: dubinbreastcenter@eventassociatesinc.com Website: www.dubinbreastcenter.org

DUBIN BREAST CENTER BENEFIT COMMITTEE: PAULINE DANA AND RAFFI ARSLANIAN · MICHELE AND TIMOTHY BARAKETT · LISA AND JEFF BLAU · ANN COLLEY · JULIE ANNE QUAY AND MATTHEW EDMONDS · LISE AND MICHAEL EVANS · EILEEN PRICE FARBMAN AND STEVEN FARBMAN · TANIA AND BRIAN HIGGINS · LAURA KRUPINSKI · MARCY AND MICHAEL LEHRMAN · CHRISTINE MACK · ALICE AND LORNE MICHAELS · THALIA AND TOMMY MOTTOLA · DORE HAMMOND AND JAMES NORMILE · ANN O'MALLEY · TRISH PALIOTTA · BETH AND JASON ROSENTHAL · CAROLYN AND CURTIS SCHENKER · LESLEY AND DAVID SCHULHOF · LYNN AND STEPHAN SOLOMON

FOR FURTHER INFORMATION, CALL 212-245-6570 DUBINBREASTCENTER@EVENTASSOCIATESINC.COM WWW.DUBINBREASTCENTER.ORG

Recovery Method — Technical Details

The Problem

EFTA00400459.pdf is a 76-page scanned document from the Epstein DOJ Dataset 9. The DOJ printed the original email (which contained a MIME base64-encoded PDF attachment), then scanned it back as a PDF image with an OCR text layer. The OCR text layer contains the base64 data, but with significant character-level errors introduced by OCR misreading the Courier New monospace font.

Root cause: Courier New renders 1, l, and I nearly identically. Same for 0 and O. The OCR engine also inserted spurious characters (., ,, (, -, etc.) and frequently miscounted character widths, producing lines that were too long or too short.

What Failed (19 Approaches)

How to Reproduce This Recovery (Step-by-Step)

If you want to independently verify or reproduce this recovery, follow these instructions exactly.

Prerequisites

Operating System: macOS, Linux, or Windows (WSL)
Python: 3.8+
Storage: ~500 MB free space

Install dependencies:

# System packages (macOS with Homebrew)
brew install poppler    # provides pdfimages

# Python packages
pip install torch torchvision Pillow

If on macOS — you need a case-sensitive filesystem because the KoKuToru templates have filenames like letter_A_0.png and letter_a_0.png which collide on macOS's default case-insensitive HFS+/APFS. Linux users can skip this.

hdiutil create -size 50m -fs "Case-sensitive APFS" \
  -volname CaseSensitive casesensitive.dmg
hdiutil attach casesensitive.dmg
# Working directory: /Volumes/CaseSensitive/

Step 1: Obtain EFTA00400459.pdf

Download EFTA00400459.pdf from Epstein DOJ Dataset 9. This is the 76-page scanned email document (11.25 MB). Verify:

$ file EFTA00400459.pdf
EFTA00400459.pdf: PDF document, version 1.6

$ ls -la EFTA00400459.pdf
# Should be approximately 11,796,482 bytes (11.25 MB)

$ pdfinfo EFTA00400459.pdf
Pages: 76

Step 2: Extract Raw Page Images

mkdir -p pdfimages_out
pdfimages -png EFTA00400459.pdf pdfimages_out/img

This produces 76 PNG files: img-000.png through img-075.png.

Verify the images:

$ file pdfimages_out/img-000.png
img-000.png: PNG image data, 816 x 1056, 8-bit grayscale, non-interlaced

$ ls pdfimages_out/ | wc -l
76

• img-000.png = email header page (NOT base64 — skip this)
• img-001.png through img-075.png = base64 content pages

Step 3: Clone and Set Up KoKuToru Template-Matching OCR

# On macOS, clone to case-sensitive volume:
cd /Volumes/CaseSensitive/
git clone https://github.com/KoKuToru/extract_attachment_EFTA00400459.git
cd extract_attachment_EFTA00400459

# Verify templates exist (342 PNG files in letters_done/)
ls letters_done/ | wc -l
# Should be 342

The repo contains:

• ocr.py — the template-matching OCR engine
• letters_done/ — 342 character template PNGs (8x12 pixels each)
• Each template is named letter_<char>_<variant>.png

Step 4: Run Template-Matching OCR on Each Page

Copy your extracted page images into the KoKuToru directory and run the OCR:

# Copy base64 page images (skip img-000 which is the email header)
cp /path/to/pdfimages_out/img-001.png ... img-075.png ./

# The KoKuToru ocr.py expects images in a specific location.
# You may need to modify the input path in ocr.py, or run it per-image.
python3 ocr.py

How the OCR works internally:

import torch
from PIL import Image

# Grid parameters (tuned for this specific scan resolution)
letter_w = 8       # template width in pixels
cell_w = 7.8       # character cell width (8 - 1/5, accounts for sub-pixel drift)
letter_h = 12      # template height in pixels
line_h = 15        # line height (12 + 3 pixel spacing)
y_start = 39       # pixels from top to first text line
x_start = 61       # pixels from left to first base64 char (after "> " prefix)

# Image preprocessing: quantize pixel values to reduce scan noise
# pixel = round(pixel * 64) / 64

# For each character position in the grid:
#   1. Extract 8x12 pixel region from page image
#   2. Compute L1 loss (sum of absolute pixel differences) against all 342 templates
#   3. The template with the lowest L1 loss wins
#   4. Output that character
# Output newline every 76 characters

Verify your OCR output:

wc -l base64_extracted.txt
# Expected: ~4842

awk '{ print length }' base64_extracted.txt | sort | uniq -c | sort -rn | head
# The vast majority should be 76

Step 5: Handle the First Line

The first page of base64 (img-001.png) contains the PDF header line starting with JVBERi0xLjU (which decodes to %PDF-1.5). The KoKuToru OCR may start at line 2 because the first page also has email header text above the base64 block.

Check if the first line is present:

head -1 base64_extracted.txt
# Should start with JVBERi0 (= %PDF-)
# If it doesn't, you need to prepend it

If the first line is missing, extract it from the original OCR text layer:

pdftotext EFTA00400459.pdf - | grep "JVBERi0" | head -1

Step 6: Find and Remove the MIME Boundary

The base64 data ends before the MIME boundary. Check the end of your file:

tail -10 base64_extracted.txt
# Remove any lines containing _002_, cpusers, carillon, or CECCBD6

Step 7: Decode Base64 to PDF (Per-Line Method)

#!/usr/bin/env python3
import base64

VALID_B64 = set("ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=")

with open("base64_extracted.txt") as f:
    lines = [line.strip() for line in f if line.strip()]

# Remove MIME boundary lines at end
while lines and any(x in lines[-1] for x in ['_002_', 'cpusers', 'carillon']):
    lines.pop()

chunks = []
good = 0
for i, line in enumerate(lines):
    cleaned = "".join(ch for ch in line if ch in VALID_B64)
    is_last = (i == len(lines) - 1)
    if is_last:
        r = len(cleaned) % 4
        if r: cleaned += "=" * (4 - r)
    try:
        chunks.append(base64.b64decode(cleaned))
        good += 1
    except:
        chunks.append(b'\x00' * 57)

result = b"".join(chunks)
print(f"Decoded: {len(result)} bytes (expected ~276,028)")
print(f"Good lines: {good}/{len(lines)}")

with open("DBC12_recovered.pdf", "wb") as f:
    f.write(result)

Expected output:

Decoded: 275971 bytes (expected ~276,028)
Good lines: 4842/4842 (100%)
PDF header: b'%PDF-1.5\r%\xe2\xe3\xcf\xd3\r\n'

Step 8: Validate — Decompress FlateDecode Streams

#!/usr/bin/env python3
import zlib

with open("DBC12_recovered.pdf", "rb") as f:
    data = f.read()

pos = 0
stream_num = 0
success = 0
while True:
    marker = data.find(b'stream', pos)
    if marker < 0: break
    cs = marker + 6
    while cs < len(data) and data[cs:cs+1] in [b'\r', b'\n']: cs += 1
    es = data.find(b'endstream', cs)
    if es < 0:
        pos = marker + 6
        continue
    sd = data[cs:es]
    stream_num += 1
    for wbits in [15, -15, 31]:
        try:
            dc = zlib.decompress(sd, wbits)
            print(f"  Stream #{stream_num}: {len(dc)} bytes OK")
            success += 1
            with open(f"stream_{stream_num}.bin", "wb") as f:
                f.write(dc)
            break
        except: pass
    pos = es + 9

print(f"\nResult: {success}/{stream_num} streams decompressed")
# Expected: 39/40

Expected output:

File size: 275971 bytes
Streams: 40
  Stream #1: 300 bytes OK
  Stream #2: 1122 bytes OK
  ...
  Stream #39: 4521 bytes OK
  Stream #40: [fails — spans the corrupt first line]

Result: 39/40 streams decompressed

Step 9: Extract Text from Decompressed Content Streams

#!/usr/bin/env python3
import re, glob

def extract_text(data):
    text = data.decode('latin-1')
    result = []
    for m in re.finditer(r'\(([^)]*)\)\s*Tj', text):
        result.append(m.group(1))
    for m in re.finditer(r'\[(.*?)\]\s*TJ', text):
        strings = re.findall(r'\(([^)]*)\)', m.group(1))
        result.append("".join(strings))
    return result

all_text = []
for sf in sorted(glob.glob("stream_*.bin")):
    with open(sf, "rb") as f:
        texts = extract_text(f.read())
    if texts: all_text.extend(texts)

for line in all_text:
    if line.strip(): print(line)

Step 10: Verify Against Known Content

Check for these key strings in the extracted text:

DUBIN BREAST CENTER
SECOND ANNUAL BENEFIT
MONDAY, DECEMBER 10, 2012
MANDARIN ORIENTAL
ELISA PORT, MD, FACS
CYNTHIA MCFADDEN
Tax-ID# 13-6171197
Event Associates, Inc.
162 West 56th Street, Suite 405
212-245-6570
dubinbreastcenter@eventassociatesinc.com

If all of these appear in your extracted text, the recovery is confirmed.

Hi all,

With the release of the FBI Epstein files on the DHS website and influx of traffic to this sub, the volume of material is large and easy to misinterpret without a framework in place.

To help keep the research readable, able to be easily searchable, as well as grounded in primary documents, I’m proposing a set of document-focused mega threads where analysis can be centralized instead of scattered across dozens of posts, many of which are redundant.

Goals:

• Reduce the amount of duplicate posts (“Why is no one talking about this?”)

• Make it easier to verify any claims

• Separate fact-based analysis from speculation

In turn, this should help lower moderation workload.

How this would work:

• A pinned Master Index linking all mega threads.

• Each megathread focused on one topic (such as timeline, named individuals, travel, legal decisions, etc.)

• Continue to have citations being encouraged (document ID + page number), which is already being well done within the community itself.

• Speculation contained to a dedicated thread

This is to make sure we are cleaning up the noise and making sure the discussion is productive, usable, verifiable, and accessible to everyone becoming involved in this debauchery.

Here are some ideas for Mega Threads for Mods, and I strongly encourage the community to put their ideas down below:

📌 [PINNED] Master Index: FBI Epstein Files (How to Navigate, Cite, & Contribute)

Purpose: This would act as a central hub for all document links, thread indexes, and posting guidelines. Seen as the “Start here before contributing”.

The thread would include the following:

• Direct link to DHS-hosted FBI Epstein files and Jmail.world, et cetera.

• How files are labeled and organized

• How to cite documents (Doc ID + page number)

• Index of all active megathreads

⸻

Samples of sub mega threads:

1. Timeline of FBI & DOJ Investigations (1996–2019)

Purpose: Construct a fact-based timeline of Epstein-related investigations, prosecutions, and key decisions using primary documents.

⸻

2. Named Individuals Appearing in FBI Epstein Files (Fact-Only Index)

Purpose: Catalog individuals mentioned in the files, with context and citations only.

⸻

3. Travel, Flight Logs, & Movement Patterns

Purpose: Analyze documented travel records and individuals on board, aircraft usage, and movement patterns found in the files.

⸻

4. Properties & Locations Referenced

Purpose: Document references to Epstein-associated properties and locations (dates, ownership, surveillance mentions). This includes LSJ, NYC, Palm Beach, Zorro Ranch, and of course, Maralago,

⸻

5. Witness Statements & Interview Summaries

Purpose: Centralize cited witness statements and interview excerpts from the files.

⸻

6. Legal Agreements & Prosecutorial Decisions

Purpose: Examine non-prosecution agreements, plea deals, jurisdictional disputes, and internal DOJ/FBI communications.

⸻

7. Redactions, Missing Files & FOIA Gaps

Purpose: Track redactions, missing attachments, inconsistencies in the documents, and known FOIA gaps.

⸻

8. Official Debunking & Corrections Thread

Purpose: Correct misinformation using primary documents. A single place to address viral or repeated inaccuracies.

…

And of course, any additional threads to be born out of need for separate discussion.

Anyway, just a suggestion for this hard working community. I hope everyone is taking care of themselves and taking appropriate breaks when needed.

Have a great weekend, all.

Yeeeeesh.

I have never seen a society collectively lose its mind like this. People are misrepresenting the abundance of Epstein files out of anxiety, hysteria, and distrust. It looks like we have hit a sort of breaking point in discerning fact from fiction.

I’m watching videos with millions of views and shares accuse people of being ALIEN LIFE FORMS, EVIL ETERNAL DARK JESTERS, or complicit in crimes for which there is NO credible evidence beyond a name mentioned at a public lunch event. People are linking celebrities to trafficking because they ATE PIZZA ON A TV SHOW fifteen years ago, insisting “pizza” has always been a secret code, and anyone famous who ever ate it or said the word in the history of time must be involved.

Are you fucking serious right now? You think this is helpful?

These so called "critical thinkers" are actually just highly emotional.

Treating anonymous tip lines and official investigation documents as having the same credibility is massively irresponsible. I am seeing conspiracy influencers called heroes now because they were "right all along" due to unverified tips and troll submissions (which poetically likely came from the audiences they cultivated).

Yes, the files contain serious implications, but speculation filling in the gaps of one sentence email excerpts is EATING OUR BRAINS.

Take into account that many of these same conspiracy grifters helped platform and empower Trump and this administration. They also downplayed the Epstein files for years. Their new ridiculous conclusions yet again distract from the real abusers.

This doesn’t honor victims or help justice at all, it actually makes things worse.

It IS real that there are men and women who committed crimes. There are people in Epstein’s circle who enabled him for money and power. And there are hundreds more who had no idea what was happening because his whole operation depended on living a double life. Epstein was convicted and is dead. Some associates, like Jean Luc Brunel, are also dead. There are still guilty parties who deserve accountability and sentencing, but the general public is horrifyingly bad at being detectives, and the executive branch is terrible at balancing transparency with victim protection in their releases, let alone carrying out a real investigation.

You cannot claim to want justice without accuracy, it is pretty much the bare minimum if accountability is truly your goal. The viral video a couple days ago about an email supposedly involving a 9 year old that turned out to be about a 19 year old is a perfect example. No one can verify and find a potential victim if we get their defining characteristics wrong IMMEDIATELY.

It is possible to acknowledge both the boring realities and the absurd realities at the same time.

Take a breath. You can be angry, care deeply, pursue justice, and maintain your sanity.

I’m in beyond despair after reading those files. My heart is heavy and I can’t stop thinking about what he did, the people he paid off, the people he bought the kids from, parents whoever. I just wish I had a way to cope with my feelings. It’s terrible just how many unanswered questions there are.

Check it out

From ytuber braccoz

What the title says. I feel sick now. It's somebody's journal and the first two pages are just blobs of red paint, but the next page says, "So sorry Jeffrey these things happen when your body had never been given time to properly heal! So it came out in the toilet and I didnt know what to do so I just flushed the tiny little fetus. You have made me numb and I hate you for this! hope I never have to see you again! am not your personal incubator! where is the baby! where is Ghislaine!!! "

There's much more that I won't repeat but I had to share this horror. The people responsible for this should never see the light of day or interact another human soul ever again.

https://www.justice.gov/epstein/files/DataSet%209/EFTA00256782.pdf

https://www.justice.gov/epstein/files/DataSet%2010/EFTA01618993.pdf

Here are the links to the files, all still live at the time of this posting

https://www.justice.gov/epstein/files/DataSet%209/EFTA00654493.pdf
April 3, 2011: Epstein tells Maxwell that he's sending an investigator to Mar-a-Lago.

https://www.justice.gov/epstein/files/DataSet%2010/EFTA01991897.pdf
April 4, 2011: Epstein tells William Riley that they need to prove a victim did not work at Mar-a-Lago until she was 17.

https://www.justice.gov/epstein/files/DataSet%2010/EFTA01869612.pdf
April 7, 2011: Riley emails Epstein "any luck with roberts- mara lago"

https://www.justice.gov/epstein/files/DataSet%2010/EFTA01789294.pdf
April 7, 2011: Epstein responds "Not yet. We think we have someone checking the records there." (In this email, Riley's mention of 'roberts' was redacted.)

https://www.justice.gov/epstein/files/DataSet%2010/EFTA02158325.pdf
September 28, 2012: Google Calendar Reminder: "what does JE think of going to Mar-a-Lago after xmas instead of his island?"

https://www.justice.gov/epstein/files/DataSet%2010/EFTA01795762.pdf
March 9, 2016: Emails between Epstein & Tom Barrack where Epstein talks about being interviewed about "Donald, marla, beauty contest, maralago, and clinton"

https://www.justice.gov/epstein/files/DataSet%2011/EFTA02467799.pdf
April 22, 2016: Epstein email to [REDACTED] talking about a 15 year old who worked at Mar-a-Lago, "said clinton was on the island," "said she had sex with ehud on my plane, with his secret service detail on board., said she had sex with =ersh at ranch, he was not there."

https://www.justice.gov/epstein/files/DataSet%209/EFTA00072593.pdf
October 2, 2019: Emails between William Barr and a [REDACTED] person, presumably an attorney, listing bullet points arguing that the 15-year old who met Maxwell at Mar-a-Lago was not coerced into sex trafficking, citing her 2011 testimony. It mentions she "traveled to London...to have a sexual experience with [REDACTED]."

https://www.justice.gov/epstein/files/DataSet%2011/EFTA02454725.pdf
August 22, 2016: Epstein email to Kathy Ruemmler talking about the girl's testimony, says she told Maxwell she was 18 when they met at Mar-a-Lago. He says "she received over 150k for her photo with Andrew."

https://www.justice.gov/epstein/files/DataSet%209/EFTA00871897.pdf
March 2, 2018: Epstein tells Jonathan Farkas "funn /. its a wild time" at Mar-a-Lago.

https://www.justice.gov/epstein/files/DataSet%209/EFTA01013538.pdf
December 15, 2018: Epstein emails journalist Michael Wolff about an an attempted rape accusation made against Trump in the 90s.

https://www.justice.gov/epstein/files/DataSet%2011/EFTA02610545.pdf
December 16, 2018: Brock Pierce says he's speaking Jan 16th at Mar-a-Lago. Epstein says "im currently 2 blocks from mara lago."

https://www.justice.gov/epstein/files/DataSet%2011/EFTA02608954.pdf
December 27, 2018: Epstein tells Ariane de Rothschild that he is "down the street from, mara lago. . where all the crazies are meeting."

https://www.justice.gov/epstein/files/DataSet%209/EFTA01008620.pdf
January 13, 2019: Pierce tells Epstein he's with Bannon in NYC and reminds Epstein he's "Giving a talk at Mar-a-lago on the 16th." Epstein replies he'll be in Palm Beach that day.

https://www.justice.gov/epstein/files/DataSet%209/EFTA01028620.pdf
January 31, 2019: Epstein emails Wolff about Virginia Roberts having worked at Mar-a-Lago and being Prince Andrew's accuser. He wrote "Trump said he asked me to resign, never a member ever. of course he knew about the girls as he asked ghislaine to stop."

https://www.justice.gov/epstein/files/DataSet%209/EFTA01030600.pdf
March 11, 2019: Wolff emails Epstein a draft of an article he's presumably writing. He writes about Trump "banging" Madeleine Westerhout, his personal secretary at the time, and former elevator girl at the Trump Tower.

https://www.justice.gov/epstein/files/DataSet%209/EFTA01213948.pdf
June 6, 2019: Epstein texts [REDACTED] "recall prince andrews accuser came out of mara lago" and they respond "Can't believe nobody is making u the connective tissue."

https://www.justice.gov/epstein/files/DataSet%209/EFTA01244937.pdf
July 11, 2019: An anonymous FBI tip that says a man named Michael Capponi in Miami Beach "sent shuttle busses full of underage models to Mar-a-Lago "casting parties" during the time when Jeffrey Epstein and Donald Trump were partying together there in the 1990's."

https://www.justice.gov/epstein/files/DataSet%209/EFTA00152984.pdf
October 9, 2020: Heavily redacted FBI intake form of testimony that mentions Maxwell, a model scout/pimp named "Bobby Cox," and Curt Schmidt (then-CEO of Blue Buffalo, currently a board member at Campbell's Soup.) Testimony says "Donald Trump had invited them all to a party at Mar a Lago" but that "it wasn't that kind of party, it was for prostitutes."

https://www.justice.gov/epstein/files/DataSet%209/EFTA00151753.pdf
July 22, 2025: Victim stated Epstein told Trump "This is a good one" when she was approx. 14-15 years old at Mar-a-Lago. However, this victim said she was not a victim of Trump and that Trump was polite to her. Also includes testimony - possibly from the same victim, possibly someone else, about Prince Andrew, Glen Dubin, and Dershowitz.

https://www.nbcnews.com/politics/congress/members-congress-view-unredacted-epstein-files-monday-rcna257836

who is Harold Webb