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I downloaded the DOJ’s Dataset 8, extracted every bit of text and every image from all 11,036 PDFs, then built a searchable index of the entire archive. With that in place, I searched for the most damning mentions involving the person the DOJ seems most eager to shield: Donald Trump.
Before digging in, view the worst document I came across: EFTA00025010.pdf:
288 Mentions in Dataset 8: A Thread Transcript and Case-Number Index
*A preserved Threads thread with embedded media, timestamps, and every cited EFTA reference, formatted for Substack.*
This is a Substack-ready transcript of the Threads thread archived in the attached ZIP. It keeps the original wording, order, and media placement, and adds an index of the EFTA references that appear in the posts.
When you paste this into Substack, upload the images from the included `assets/` folder and insert them where you see `[Image: img_XX.ext]`.
Thread transcript
Tuesday, December 23, 2025 at 9:06 AM — @tomwellborn3rd
🧵 I’ve identified “Trump” in 288 PDF files in Dataset 8.
Looking for the most damning instances.
EFTA00037679 1 / 3
Tuesday, December 23, 2025 at 9:18 AM — @novocastrum
@warrenoates1
Tuesday, December 23, 2025 at 12:25 PM — @tomwellborn3rd
Much more coming. So much data.
Tuesday, December 23, 2025 at 12:36 PM — @tomwellborn3rd
EFTA00020250-000
Tuesday, December 23, 2025 at 12:38 PM — @tomwellborn3rd
Not helpful.
Tuesday, December 23, 2025 at 12:40 PM — @tomwellborn3rd
EFTA00021627-001
Tuesday, December 23, 2025 at 12:43 PM — @tomwellborn3rd
EFTA00022646-000 - EFTA00022646-007
Tuesday, December 23, 2025 at 12:44 PM — @tomwellborn3rd
EFTA00023243-000 - EFTA00023243-006
Tuesday, December 23, 2025 at 12:46 PM — @tomwellborn3rd
EFTA00025264-000 - EFTA00025264-003
Tuesday, December 23, 2025 at 12:48 PM — @tomwellborn3rd
EFTA00025797-000 - EFTA00026129-149 are completely redacted. 482 files.
Tuesday, December 23, 2025 at 12:48 PM — @tomwellborn3rd
EFTA00026540-001
Tuesday, December 23, 2025 at 12:52 PM — @tomwellborn3rd
EFTA00030491-002 - EFTA00030491-006
Tuesday, December 23, 2025 at 12:54 PM — @tomwellborn3rd
EFTA00031988-000
Tuesday, December 23, 2025 at 12:54 PM — @tomwellborn3rd
EFTA00032134-001
Tuesday, December 23, 2025 at 12:58 PM — @tomwellborn3rd
EFTA00037045-000 - EFTA00037057-000
Tuesday, December 23, 2025 at 1:00 PM — @tomwellborn3rd
EFTA00037153-000
Tuesday, December 23, 2025 at 1:12 PM — @tomwellborn3rd
EFTA00038721-000 - EFTA00038727-000
Tuesday, December 23, 2025 at 1:12 PM — @tomwellborn3rd
EFTA00037165-000 - EFTA00037178-000
Tuesday, December 23, 2025 at 1:12 PM — @neansai
Will you have a website with all these located on it?
Tuesday, December 23, 2025 at 1:22 PM — @tomwellborn3rd
EFTA00037847
Tuesday, December 23, 2025 at 2:12 PM — @tomwellborn3rd
Thank you! I’m still a few hours away from completion of the last step.
Tuesday, December 23, 2025 at 3:22 PM — @tomwellborn3rd
I’m going to create a substack when I’m done compiling everything.
Tuesday, December 23, 2025 at 6:54 PM — @tomwellborn3rd
I scanned the extracted images and didn’t find anything more tying Donald to Epstein and children. Dataset 8 is much larger than the previous seven, yet it contains surprisingly few photos by comparison, which makes the “bigger” label feel more like volume on paper than substance in content.
/ end thread
Tuesday, December 23, 2025 at 6:58 PM — @tomwellborn3rd
Bonus: Trump has been inventing (and ‘inventing’) words for a long time.
EFTA00025443-018
Appendix: EFTA references mentioned
EFTA00020250-000
EFTA00021627-001
EFTA00022646-000
EFTA00022646-007
EFTA00023243-000
EFTA00023243-006
EFTA00025264-000
EFTA00025264-003
EFTA00025443-018
EFTA00025797-000
EFTA00026129-149
EFTA00026540-001
EFTA00030491-002
EFTA00030491-006
EFTA00031988-000
EFTA00032134-001
EFTA00037045-000
EFTA00037057-000
EFTA00037153-000
EFTA00037165-000
EFTA00037178-000
EFTA00037679
EFTA00037847
EFTA00038721-000
EFTA00038727-000
Appendix: Original thread link
https://www.threads.com/@tomwellborn3rd/post/DSm9V2YkSyt