Epstein Files Jan 30, 2026

Data hoarders on reddit have been hard at work archiving the latest Epstein Files release from the U.S. Department of Justice. Below is a compilation of their work with download links.

Please seed all torrent files to distribute and preserve this data.

Ref: https://old.reddit.com/r/DataHoarder/comments/1qrk3qk/epstein_files_datasets_9_10_11_300_gb_lets_keep/

Epstein Files Data Sets 1-8: INTERNET ARCHIVE LINK

Epstein Files Data Set 1 (2.47 GB): TORRENT MAGNET LINK
Epstein Files Data Set 2 (631.6 MB): TORRENT MAGNET LINK
Epstein Files Data Set 3 (599.4 MB): TORRENT MAGNET LINK
Epstein Files Data Set 4 (358.4 MB): TORRENT MAGNET LINK
Epstein Files Data Set 5: (61.5 MB) TORRENT MAGNET LINK
Epstein Files Data Set 6 (53.0 MB): TORRENT MAGNET LINK
Epstein Files Data Set 7 (98.2 MB): TORRENT MAGNET LINK
Epstein Files Data Set 8 (10.67 GB): TORRENT MAGNET LINK


Epstein Files Data Set 9 (Incomplete). Only contains 49 GB of 180 GB. Multiple reports of cutoff from DOJ server at offset 48995762176.

ORIGINAL JUSTICE DEPARTMENT LINK

  • TORRENT MAGNET LINK (removed due to reports of CSAM)

/u/susadmin's More Complete Data Set 9 (96.25 GB)
De-duplicated merger of (45.63 GB + 86.74 GB) versions

  • TORRENT MAGNET LINK (removed due to reports of CSAM)

Epstein Files Data Set 10 (78.64GB)

ORIGINAL JUSTICE DEPARTMENT LINK

  • TORRENT MAGNET LINK (removed due to reports of CSAM)
  • INTERNET ARCHIVE FOLDER (removed due to reports of CSAM)
  • INTERNET ARCHIVE DIRECT LINK (removed due to reports of CSAM)

Epstein Files Data Set 11 (25.55GB)

ORIGINAL JUSTICE DEPARTMENT LINK

SHA1: 574950c0f86765e897268834ac6ef38b370cad2a


Epstein Files Data Set 12 (114.1 MB)

ORIGINAL JUSTICE DEPARTMENT LINK

SHA1: 20f804ab55687c957fd249cd0d417d5fe7438281
MD5: b1206186332bb1af021e86d68468f9fe
SHA256: b5314b7efca98e25d8b35e4b7fac3ebb3ca2e6cfd0937aa2300ca8b71543bbe2


This list will be edited as more data becomes available, particularly with regard to Data Set 9 (EDIT: NOT ANYMORE)


EDIT [2026-02-02]: After being made aware of potential CSAM in the original Data Set 9 releases and seeing confirmation in the New York Times, I will no longer support any effort to maintain links to archives of it. There is suspicion of CSAM in Data Set 10 as well. I am removing links to both archives.

Some in this thread may be upset by this action. It is right to be distrustful of a government that has not shown signs of integrity. However, I do trust journalists who hold the government accountable.

I am abandoning this project and removing any links to content that commenters here and on reddit have suggested may contain CSAM.

Ref 1: https://www.nytimes.com/2026/02/01/us/nude-photos-epstein-files.html
Ref 2: https://www.404media.co/doj-released-unredacted-nude-images-in-epstein-files

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[–] 48 points 9 months ago* (last edited 9 months ago) (17 children)

I'm in the process of downloading both dataset 9 torrents (45.63 GB + 86.74 GB). I will then compare the filenames in both versions (the 45.63GB version has 201,358 files alone), note any duplicates, and merge all unique files into one folder. I'll upload that as a torrent once it's done so we can get closer to a complete dataset 9 as one file.

  • Edit 31Jan2026 816pm EST - Making progress. I finished downloading both dataset 9s (45.6 GB and the 86.74 GB). The 45.6GB set is 200,000 files and the 86GB set is 500,000 files. I have a .csv of the filenames and sizes of all files in the 45.6GB version. I'm creating the same .csv for the 86GB version now.

  • Edit 31Jan2026 845pm EST -

    • dataset 9 (45.63 GB) = 201357 files
    • dataset 9 (86.74 GB) = 531257 files

    I did an exact filename combined with an exact file size comparison between the two dataset9 versions. I also did an exact filename combined with a fuzzy file size comparison (tolerance of +/- 1KB) between the two dataset9 versions. There were:

    • 201330 exact matches
    • 201330 fuzzy matches (+/- 1KB)

    Meaning there are 201330 duplicate files between the two dataset9 versions.

    These matches were written to a duplicates file. Then, from each dataset9 version, all files/sizes matching the file and size listed in the duplicates file will be moved to a subfolder. Then I'll merge both parent folders into one enormous folder containing all unique files and a folder of duplicates. Finally, compress it, make a torrent, and upload it.


  • Edit 31Jan2026 945pm EST -

    Still moving duplicates into subfolders.


  • Edit 31Jan2026 1027pm EST -

    Going off of xodoh74984's comment (https://lemmy.world/post/42440468/21884588), I'm increasing the rigor of my determination of whether the files that share a filename and size between both version of dataset9 are in fact duplicates. This will be identical to rsync --checksum to verify bit-for-bit that the files are the same by calculating their MD5 hash. This will take a while but is the best way.


  • Edit 01Feb2026 1227am EST -

    Checksum comparison complete. 73 files found that have the same file name and size but different content. Total number of duplicate files = 201257. Merging both dataset versions now, while keeping one subfolder of the duplicates, so nothing is deleted.


  • Edit 01Feb2026 1258am EST -

    Creating the .tar.zst file now. 531285 total files, which includes all unique files between dataset9 (45.6GB) and dataset9 (86.7GB), as well as a subfolder containing the files that were found in both dataset9 versions.


  • Edit 01Feb2026 215am EST -

    I was using wayyyy to high a compression value for no reason (ztsd --ultra --22). Restarted the .tar.zst file creation (with ztsd -12) and it's going 100x faster now. Should be finished within the hour


  • Edit 01Feb2026 311am EST -

    .tar.zst file creation is taking very long. I'm going to let it run overnight - will check back in a few hours. I'm tired boss.


  • EDIT 01Feb2026 831am EST -

COMPLETE!

And then I doxxed myself in the torrent. One moment please while I fix that....


Final magnet link is HERE. GO GO GOOOOOO

I'm seeding @ 55 MB/s. I'm also trying to get into the new r/EpsteinPublicDatasets subreddit to share the torrent there.

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  • [–] 8 points 9 months ago (4 children)

    looking forward to your torrent, will seed.

    I have several incomplete sets of files from dataset 9 that I downloaded with a scraped set of urls - should I try to get them to you to compare as well?

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  • [–] 6 points 9 months ago (3 children)

    Yes! I'm not sure the best way to do that - upload them to MEGA and message me a download link?

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  • [–] 6 points 9 months ago (2 children)

    maybe archive.org? that way they can be torrented if others want to attempt their own merging techniques? either way it will be a long upload, my speed is not especially good. I'm still churning through one set of urls that is 1.2M lines, most are failing but I have 65k from that batch so far.

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  • [–] 7 points 9 months ago (1 child)

    archive.org is a great idea. Post the link here when you can!

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  • [–] 5 points 9 months ago* (last edited 9 months ago)

    I'll get the first set (42k files in 31G) uploading as soon as I get it zipped up. it's the one least likely to have any new files in it since I started at the beginning like others but it's worth a shot

    edit 01FEB2026 1208AM EST - 6.4/30gb uploaded to archive.org

    edit 01FEB2026 0430AM EST - 13/30gb uploaded to archive.org; scrape using a different url set going backwards is currently at 75.4k files

    edit 01FEB2026 1233PM EST - had an internet outage overnight and lost all progress on the archive.org upload, currently back to 11/30gb. the scrape using a previous url set seems to be getting very few new files now, sitting at 77.9k at the moment

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  • I'm downloading 8-11 now, I'm seeding 1-7+12 now. I've tried checking up on reddit, but every other time i check in the post is nuked or something. My home server never goes down and I'm outside USA. I'm working on the 100GB+ #9 right now and I'll seed whatever you can get up here too.

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  • [–] [S] 4 points 9 months ago* (last edited 9 months ago) (2 children)

    When merging versions of Data Set 9, is there any risk of loss with simply using rsync --checksum to dump all files into one directory?

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  • [–] 5 points 9 months ago (1 child)

    rsync --checksum is better than my file name + file size comparison, since you are calculating the hash of each file and comparing it to the hash all other files. For example, if there is a file called data1.pdf with size 1024 bytes in dataset9-v1, and another file called data1.pdf with size 1024 bytes in dataset9-v2, but their content is different, my method will still detect them as identical files.

    I'm going to modify my script to calculate and compare the hashes of all files that I previously determined to be duplicates. If the hashes of the duplicates in dataset9 (45GB torrent) match the hashes of the duplicates in dataset9 (86GB torrent), then they are in fact duplicates between the two datasets.

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  • [–] [S] 2 points 9 months ago*

    Amazing, thank you. That was my thought, check hashes while merging the files to keep any copies that might have been modified by DOJ and discard duplicates even if the duplicates have different metadata, e.g. timestamps.

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  • [–] 2 points 9 months ago* (last edited 9 months ago) (2 children)

    here is the file contents w/ SHA-256 hashes: deleted this

    the original post on reddit was deleted after sharing this https://old.reddit.com/r/DataHoarder/comments/1qsfv3j/epstein_9_10_11_12_reddit_keeps_nuking_thread_we/o2vqgoc/

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  • [–] 1 point 9 months ago (1 child)

    anyone have the original 186gb magnet link from that thread? someone said reddit keeps nuking it because it implicates reddit admins like spez

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  • [–] 1 point 9 months ago

    This is it, encoded in base 64 format, according to the comment:

    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    [+] 29 points 9 months ago* (last edited 9 months ago) (22 children)
  • [–] 7 points 9 months ago (17 children)

    this method is not working for me anymore

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  • [+] 7 points 9 months ago* (last edited 9 months ago) (16 children)
  • [–] 3 points 9 months ago (15 children)

    I messaged you on the other site; I'm currently getting a Could not determine Content-Length (got None) error

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  • [+] 2 points 9 months ago (15 children)
  • [–] 4 points 9 months ago (12 children)

    I also was getting the same error. Going to the link successfully downloads.

    Updating the cookies fixed the issue.

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  • [–] 5 points 9 months ago* (11 children)

    Can also confirm, receiving more chunks again.

    EDIT: Someone should play around with the retry and backoff settings to see if a certain configuration can avoid being blocked for a longer period of time. IP rotating is too much trouble.

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  • [+] 3 points 9 months ago (11 children)
  • [–] 2 points 9 months ago* (last edited 9 months ago) (9 children)

    Gonna grab a some tea, then get back at it. Will update when I have something.

    Thanks for this!

    EDIT: This works quite well. Getting chunks right off the bat. About 1 per second, just guessing.

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  • [+] [S] 1 point 9 months ago* (last edited 9 months ago) (9 children)
  • [+] 4 points 9 months ago (9 children)
  • [+] [S] 4 points 9 months ago* (last edited 9 months ago) (8 children)
  • [+] 3 points 9 months ago* (last edited 9 months ago) (7 children)
  • [+] 1 point 9 months ago (6 children)
  • [+] 3 points 9 months ago* (last edited 9 months ago) (6 children)
  • [–] 2 points 9 months ago* (last edited 9 months ago) (1 child)

    I'll work on the second –startByte 110131937280 --endByte 120424759295 (9.59 GB)

    EDIT: I’m probably at 20-30 passes by now. Got squat.

    Do you think this is a bug, or is it possible the chunk is not there?

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  • [+] 1 point 9 months ago* (last edited 9 months ago) (3 children)
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  • [–] 1 point 9 months ago* (last edited 9 months ago)

    I had the script crash at line 324: BadStatusLine: HTTP/1.1 0 Init

    EDIT: It’s worth noting that about every time I (re) start it after seemingly been blocked a bit, I get about 1gb more before it slows WAY down (no server response).

    EDIT: It looks to me, that if I'm getting only FAILED: No server response, stopping the script for a minute or two and restarting immediately garners a lot more results. I think having a longer pause with many failures might be worth looking at. -- I'll play around a bit.

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  • [–] 3 points 9 months ago (1 child)
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  • [–] 5 points 9 months ago (1 child)

    I’m using a partial download I already had and not the 48gb version but I will be gathering as many chunks as I can as well. Thanks for making this

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  • [–] 1 point 9 months ago

    Is anyone able to get this working again? It seemed to stop. I have updated cookies. If I remove the chunks it seems to start connecting again but when I put them back it runs for a few mins and then kicks the bucket.

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    [–] 23 points 9 months ago (1 child)

    Funny how a rag-tag ad-hoc group can seed data so much better than the DOJ. Beautiful to see in action.

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  • [–] 19 points 9 months ago (2 children)

    Heads up that the DOJ site is a tar pit, it's going to return 50 files on the page regardless of the page number your on seems like somewhere between 2k-5k pages it just wraps around right now.

    Testing page 2000... ✓ 50 new files (out of 50)
    Testing page 5000... ○ 0 new files - all duplicates
    Testing page 10000... ○ 0 new files - all duplicates
    Testing page 20000... ○ 0 new files - all duplicates
    Testing page 50000... ○ 0 new files - all duplicates
    Testing page 100000... ○ 0 new files - all duplicates

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  • [–] 8 points 9 months ago

    I saw this too; yesterday I tried manually accessing the page to explore just how many there are. Seems like some of the pages are duplicates (I was simply comparing the last listed file name and content between some of the first 10 pages, and even had 1-2 duplications.)

    Far as maximum page number goes, if you use the query parameter ?page=200000000 it will still resolve a list of files. — actually crazy.

    https://www.justice.gov/epstein/doj-disclosures/data-set-9-files?page=200000000

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  • [–] 3 points 9 months ago

    The last page I got a non-duplicate URL from was 10853 which curiously only had 36 URLs on page. When I browsed directly to page 10853 36 URLs were displayed but then moving back and forth in the page count the tar pit logic must have re-looped there and it went back to 50 Displayed. I ended with 224751 URLs

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  • [–] 17 points 9 months ago (2 children)

    I was quick to download dataset 12 after it was discovered to exist, and apparently my dataset 12 contains some files that were later removed. Uploaded to IA in case it contains anything that later archivists missed. https://archive.org/details/data-set-12_202602

    Specifically doc number 2731361 and others around it were at some point later removed from DoJ, but are still within this early-download DS12. Maybe more, unsure

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  • [+] 15 points 9 months ago* (3 children)
  • [+] 6 points 9 months ago* (3 children)
  • [–] 1 point 9 months ago* (2 children)

    What version of dataset 9 is this?

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  • [+] 2 points 9 months ago (2 children)
  • [–] 2 points 9 months ago (1 child)

    Ah I see now! Sorry, I'm new to this platform and I need to get used to the structure of it.

    Thanks

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    [–] 13 points 9 months ago (2 children)

    reposting a full magnet list (besides 9) of all the datasets that was on reddit with healthy seeds:

    Dataset 1 (2.47GB)

    magnet:?xt=urn:btih:4e2fd3707919bebc3177e85498d67cb7474bfd96&dn=DataSet+1&xl=2658494752&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&tr=udp%3A%2F%2Fopen.stealth.si%3A80%2Fannounce&tr=udp%3A%2F%2Ftracker.moeking.me%3A6969%2Fannounce
    

    Dataset 2 (631.6MB)

    magnet:?xt=urn:btih:d3ec6b3ea50ddbcf8b6f404f419adc584964418a&dn=DataSet+2&xl=662334369&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&tr=udp%3A%2F%2Fopen.stealth.si%3A80%2Fannounce&tr=udp%3A%2F%2Ftracker.moeking.me%3A6969%2Fannounce
    

    Dataset 3 (599.4MB)

    magnet:?xt=urn:btih:27704fe736090510aa9f314f5854691d905d1ff3&dn=DataSet+3&xl=628519331&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&tr=udp%3A%2F%2Fopen.stealth.si%3A80%2Fannounce&tr=udp%3A%2F%2Ftracker.moeking.me%3A6969%2Fannounce
    

    Dataset 4 (358.4MB)

    magnet:?xt=urn:btih:4be48044be0e10f719d0de341b7a47ea3e8c3c1a&dn=DataSet+4&xl=375905556&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&tr=udp%3A%2F%2Fopen.stealth.si%3A80%2Fannounce&tr=udp%3A%2F%2Ftracker.moeking.me%3A6969%2Fannounce
    

    Dataset 5 (61.5MB)

    magnet:?xt=urn:btih:1deb0669aca054c313493d5f3bf48eed89907470&dn=DataSet+5&xl=64579973&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&tr=udp%3A%2F%2Fopen.stealth.si%3A80%2Fannounce&tr=udp%3A%2F%2Ftracker.moeking.me%3A6969%2Fannounce
    

    Dataset 6 (53.0MB)

    magnet:?xt=urn:btih:05e7b8aefd91cefcbe28a8788d3ad4a0db47d5e2&dn=DataSet+6&xl=55600717&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&tr=udp%3A%2F%2Fopen.stealth.si%3A80%2Fannounce&tr=udp%3A%2F%2Ftracker.moeking.me%3A6969%2Fannounce
    

    Dataset 7 (98.2MB)

    magnet:?xt=urn:btih:bcd8ec2e697b446661921a729b8c92b689df0360&dn=DataSet+7&xl=103060624&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&tr=udp%3A%2F%2Fopen.stealth.si%3A80%2Fannounce&tr=udp%3A%2F%2Ftracker.moeking.me%3A6969%2Fannounce
    

    Dataset 8 (10.67GB)

    magnet:?xt=urn:btih:c3a522d6810ee717a2c7e2ef705163e297d34b72&dn=DataSet%208&xl=11465535175&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&tr=udp%3A%2F%2Fopen.stealth.si%3A80%2Fannounce&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.moeking.me%3A6969%2Fannounce
    

    Dataset 10 (78.64GB)

    magnet:?xt=urn:btih:d509cc4ca1a415a9ba3b6cb920f67c44aed7fe1f&dn=DataSet%2010.zip&xl=84439381640
    

    Dataset 11 (25.55GB)

    magnet:?xt=urn:btih:59975667f8bdd5baf9945b0e2db8a57d52d32957&xt=urn:btmh:12200ab9e7614c13695fe17c71baedec717b6294a34dfa243a614602b87ec06453ad&dn=DataSet%2011.zip&xl=27441913130&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2Fopen.demonii.com%3A1337%2Fannounce&tr=udp%3A%2F%2Fopen.stealth.si%3A80%2Fannounce&tr=udp%3A%2F%2Fexodus.desync.com%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.torrent.eu.org%3A451%2Fannounce&tr=http%3A%2F%2Fopen.tracker.cl%3A1337%2Fannounce&tr=udp%3A%2F%2Ftracker.srv00.com%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.filemail.com%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker.dler.org%3A6969%2Fannounce&tr=udp%3A%2F%2Ftracker-udp.gbitt.info%3A80%2Fannounce&tr=udp%3A%2F%2Frun.publictracker.xyz%3A6969%2Fannounce&tr=udp%3A%2F%2Fopen.dstud.io%3A6969%2Fannounce&tr=udp%3A%2F%2Fleet-tracker.moe%3A1337%2Fannounce&tr=https%3A%2F%2Ftracker.zhuqiy.com%3A443%2Fannounce&tr=https%3A%2F%2Ftracker.pmman.tech%3A443%2Fannounce&tr=https%3A%2F%2Ftracker.moeblog.cn%3A443%2Fannounce&tr=https%3A%2F%2Ftracker.alaskantf.com%3A443%2Fannounce&tr=https%3A%2F%2Fshahidrazi.online%3A443%2Fannounce&tr=http%3A%2F%2Fwww.torrentsnipe.info%3A2701%2Fannounce&tr=http%3A%2F%2Fwww.genesis-sp.org%3A2710%2Fannounce
    

    Dataset 12 (114.0MB)

    magnet:?xt=urn:btih:EE6D2CE5B222B028173E4DEDC6F74F08AFBBB7A3&dn=DataSet%2012.zip&tr=udp%3a%2f%2ftracker.openbittorrent.com%3a80%2fannounce&tr=udp%3a%2f%2ftracker.opentrackr.org%3a1337%2fannounce
    
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  • [–] [S] 8 points 9 months ago

    Thank you for this!

    I've added all magnet links for sets 1-8 to the original post. Magnet links for 9-11 match OP. Magnet link for 12 is different, but we've identified that there are at least two versions. DOJ removed files before the second version was downloaded. OP contains the early version of data set 12.

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  • [–] 13 points 9 months ago

    Thx for posting, seed if you can ppl.

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  • [–] 10 points 9 months ago
    [–] 8 points 9 months ago (1 child)

    As far as CSAM and the “don’t go looking for data set 9”…

    Look I’ll be straight up.

    If I find any CSAM it gets deleted…

    But if you believe for 1 second that DOJ didn’t remove delete relevant files because they are protecting people then I have a time share to sell you at a cheap price on a beautiful scenic swamp in Florida…

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  • [–] 8 points 9 months ago* (6 children)

    Does anyone have an index of filenames/links from the DOJ website scraped?

    Edit, specifically for DataSet 9.

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  • [–] 5 points 9 months ago (5 children)

    I'm waiting for /u/Kindly_District9380 's version but I've been slowly working backwards on this in the meantime https://archive.org/details/dataset9_url_list

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  • [+] 1 point 9 months ago (3 children)
  • [–] 1 point 9 months ago (2 children)

    yeah I'm not the one who generated the url list but I've also been getting a lot without a downloadable document. I'm going to start on one of the url lists posted here soon

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  • [–] 7 points 9 months ago (5 children)

    Is there any grunt work that needs to be done? I would like to help out but I'm not sure how to make sure my work isn't redundant. I mean like looking through individual files etc. Is there an organized effort to comb through everything?

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  • [+] 8 points 9 months ago (4 children)
  • [–] 7 points 9 months ago*

    I am seeding sets 1-8, 10-12, and the larger set 9. Seedbox is outside the US and has a very fast connection.

    I will keep an eye on this post for other sets. 👍

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  • [–] 7 points 9 months ago (9 children)

    Ok everyone, I have done a complete indexing of the first 13,000 pages of the DOJ Data Set 9.

    KEY FINDING: 3 files are listed but INACCESSIBLE

    These appear in DOJ pagination but return error pages - potential evidence of removal:

    EFTA00326497

    EFTA00326501

    EFTA00534391

    You can try them yourself (they all fail):

    https://www.justice.gov/epstein/files/DataSet%209/EFTA00326497.pdf

    The 86GB torrent is 7x more complete than DOJ website

    DOJ website exposes: 77,766 files

    Torrent contains: 531,256 files

    Page Range Min EFTA Max EFTA New Files


    0-499 EFTA00039025 EFTA00267311 21,842

    500-999 EFTA00267314 EFTA00337032 18,983

    1000-1499 EFTA00067524 EFTA00380774 14,396

    1500-1999 EFTA00092963 EFTA00413050 2,709

    2000-2499 EFTA00083599 EFTA00426736 4,432

    2500-2999 EFTA00218527 EFTA00423620 4,515

    3000-3499 EFTA00203975 EFTA00539216 2,692

    3500-3999 EFTA00137295 EFTA00313715 329

    4000-4499 EFTA00078217 EFTA00338754 706

    4500-4999 EFTA00338134 EFTA00384534 2,825

    5000-5499 EFTA00377742 EFTA00415182 1,353

    5500-5999 EFTA00416356 EFTA00432673 1,214

    6000-6499 EFTA00213187 EFTA00270156 501

    6500-6999 EFTA00068280 EFTA00281003 554

    7000-7499 EFTA00154989 EFTA00425720 106

    7500-7999 (no new files - all wraps/redundant)

    8000-8499 (no new files - all wraps/redundant)

    8500-8999 EFTA00168409 EFTA00169291 10

    9000-9499 EFTA00154873 EFTA00154974 35

    9500-9999 EFTA00139661 EFTA00377759 324

    10000-10499 EFTA00140897 EFTA01262781 240

    10500-12999 (no new files - all wraps/redundant)

    TOTAL UNIQUE FILES: 77,766

    Pagination limit discovered: page 184,467,440,737,095,516 (2^64/100)

    I searched random pages between 13k and this limit - NO new documents found. The pagination is an infinite loop. All work at: https://github.com/degenai/Dataset9

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  • [–] 3 points 9 months ago (4 children)

    Just like I said… In NO way do I trust DOJ… Our only hope is if someone drops the full data set 9 somewhere.

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  • [–] 2 points 9 months ago (3 children)

    My question is, why is the total download size so large and the range of displayed documents so little? Only 15% of the known documents are individually served on the site, and some arent seen until page 10,000

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  • [–] 3 points 9 months ago (1 child)

    DOJ Epstein Files: I found what's around those 3 missing files (Part 2)

    Follow-up to my Dataset 9 indexing post. I pulled the adjacent files from my local copy of the torrent. What I found is... notable.


    TLDR

    The 3 missing files aren't random corruption. They all cluster around one event: Epstein's girlfriend Karyna Shuliak leaving St. Thomas (the island) in April 2016. And one of the gaps sits directly next to an email where Epstein recommends her a novel about a sympathetic pedophile—two days before the book was publicly released.


    The Big Finding: Duplicate Processing Batches

    Two of the missing files (326497 and 534391) are the same document processed twice—once with redactions, once without—208,000 files apart in the index.

    Redacted Batch Unredacted Batch Content
    326494-326496 534388-534390 AmEx travel booking, staff emails
    326497 - MISSING 534391 - MISSING ???
    326498-326500 — Email chain continues
    326501 - MISSING — ???
    326502-326506 — Reply + Invoice
    — 534392 Epstein personal email

    Random file corruption hitting the same logical document in two separate processing runs, 208,000 positions apart? That's not how corruption works. That's how removal works.


    What's Actually In These Files

    I pulled everything around the gaps. It's all one email chain from April 10, 2016:

    The event: Karyna Shuliak (Epstein's girlfriend) booked on Delta flight from Charlotte Amalie, St. Thomas → JFK on April 13, 2016.

    St. Thomas is where you fly in/out to reach Little St. James. She was leaving the island.

    The chain:

    • 11:31 AM — AmEx Centurion (black card) sends confirmation to lesley.jee@gmail.com
    • 11:33 AM — Lesley Groff (Epstein's executive assistant) forwards to Shuliak, CC's staff
    • 11:35 AM — Shuliak replies "Thanks so much"
    • 3:52 PM — Epstein personally emails Shuliak
    • Next day — AmEx sends invoice

    The unredacted batch (534xxx) reveals the email addresses that are blacked out in the redacted batch (326xxx):


    The Epstein Email (EFTA00534392)

    The document immediately after missing file 534391:

    From: "jeffrey E." <jeevacation@gmail.com>
    To: Karyna Shuliak
    Date: Sun, 10 Apr 2016 19:52:13 +0000
    
    order http://softskull.com/dd-product/undone/
    

    He's telling her to buy a book. The same day she's being booked to leave his island.


    The Book

    "Undone" by John Colapinto (Soft Skull Press)

    On-sale date: April 12, 2016
    Epstein's email: April 10, 2016

    He recommended it two days before public release.

    Publisher's description:

    "Dez is a former lawyer and teacher—an ephebophile with a proclivity for teenage girls, hiding out in a trailer park with his latest conquest, Chloe. Having been in and out of courtrooms (and therapists' offices) for a number of years, Dez is at odds with a society that persecutes him over his desires."

    The protagonist is a pedophile who resents society for judging him.

    The author (John Colapinto) is a New Yorker staff writer, former Vanity Fair and Rolling Stone contributor. Exactly the media circles Epstein cultivated.


    What's Missing

    So now we know the context:

    • EFTA00326497 — Between AmEx confirmation and Groff's forward. Probably the PDF ticket attachment referenced in the emails.

    • EFTA00326501 — Between the forward chain and Shuliak's reply. Unknown.

    • EFTA00534391 — Immediately before Epstein's personal email about the pedo book. Unknown, but its position is notable.


    Open Questions

    1. How did Epstein have this book before release? Advance copy? Knows the author?

    2. What is 534391? It sits between staff logistics emails and Epstein's direct correspondence. Another Epstein email? An attachment?

    3. Are there other Shuliak travel records with similar gaps? Is April 2016 unique or part of a pattern?

    4. What else is in the corpus from jeevacation@gmail.com?


    Verify It Yourself

    Try the DOJ links (all return errors):

    Check the torrent: Pull the EFTA numbers I listed. Confirm the gaps. Confirm the adjacencies.

    Grep the corpus: Search for "QWURMO" (booking reference), "Shuliak", "jeevacation", "Colapinto"


    Summary

    Three files missing from 531,256. All three cluster around one girlfriend's April 2016 departure from St. Thomas. Same gaps appear in two processing batches 208,000 files apart. One gap sits adjacent to Epstein personally recommending a novel about a sympathetic pedophile, sent before the book was even publicly available.

    This isn't random corruption.

    Full analysis + all code: https://github.com/degenai/Dataset9


    If anyone has the torrent and wants to grep for Colapinto connections or other Shuliak trips, please do. This is open source for a reason.

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  • [+] 2 points 9 months ago (1 child)
  • [–] 1 point 9 months ago

    That is new information! I wasnt even able to get that 'no images produced' page, good to know thank you. I just hit a file corruption error when I tried to dl from the DOJ. Thank you for the information. I guess this means the content is still missing in a way but at least accounted for.

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