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this post was submitted on 26 Oct 2026
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Yep. That Steve Banon.
It's hard to find the specific documents I'm referring to, but if my memory serves me, there was a description of drugs running through the house. And speculation they were being manufactured there. And women and very young women sex workers.
I believe the document was a police report. Or FBI report. It described reports by neighbors. Which is where the description of a man matching Steve Banon was.
Unfortunately I can't easily locate it. I may have the city wrong, maybe not. but when I search "Epstein files Detroit" , all I get are results for an Epstein exibit in Detroit. If I come across the documents again, I'll post a link or screen shot of them.
I remember other people commenting that it sounded like a description of Banon. And that the timeline fit with whatever he was going during those years.
This report was from a while back. Maybe early 2000s. I cant recall for sure but I don't think it was recent.
It's shitty that it's so hard to navigate those files.
I had an idea when they came out, to create a community effort to organize and tag files with dates, type of document (police report, interview, internal FBI documents, email, etc). Who was corresponding or the author. Keywords. Like locations mentioned. Notable names. And of course the file number. And if other files were referenced or connected.
Could be done pretty easy with spreadsheets. And then you could make a fairly simple search engine to navigate the meta data assigned to each file.
Assign volunteers 10 documents at a time. Have a few trustworthy leads that compile the Excel sheets. Keep backups on external drives.
Would also help find all the duplicate files.
The sheer volume though requires a huge number of volunteers.
Assigned files need tracked to specific users (can assign IDs) so that if we get a troll or bot or someone intentionally fucking up the list, we can pull all of their assigned file data.
And have a few quality checkers pull random files from users to check for accuracy. Provide feedback and identify bad actors.
I used to work in insurance so I'm pretty sure I have an effecient and quality oriented approach. But again. The sheer number of volunteers needed to do this work is high.
Also need people to review files with high similarity of tag data to see if duplicate and verify.
Some of this could potentially be pre-reviewed with automated functions.
Yeah, now that modern corpo search engines curate everything we see online, open-source data hoarding is going to be more and more important.
Building a tailored search index is a good idea though, even if it's just a spreadsheet. I'm sure we've got some SQL wizards on the fediverse though.
But yeah, it would be a team effort. An enormous project with the sheer number of files there are. Might be a use case for some automation, with human review of course. Even just a macro or something.
But also the required storage space, network infrastructure, etc.... It's a big task...
Yeah it's definitely a big project but mostly just because of the number of files. And data storage.
And organizing the volunteers. You need more than one person on top. But due to the risk of bad actors infiltrating and deleting stuff, it also has to be done with redundant centralized collections.
For the few near the top, it's going to almost be a full time job just to manage.
Plus It's just too risky to have one person in charge. They could get hacked or something. And I'm certain once it gets traction the data set and users would be targeted.
I've already broken it down the main steps. It's not that complex. Just need to develop guides and definitely consider some macros. Figure out workflows and security.
At the insurance company I worked in, the automated system first identified what type of human intervention was needed. For instance if the claim was for rental equipment, or a long term hospital stay , etc. And first just identified what it was. Then operators who specialized in those types of claims did them. Or would just work that type for the whole day. Then a different kind the next day.
It just helps you sift through things faster if you are doing one type at a time.
I'm not wholly against local machine learning algorithms going through the data. But I just think humans can do a better job. We see things and notice patterns better because we understand context. But maybe these automated services could be used to at least identify if the file is an email or interview or the format.
Running something like that would require machines.
Maybe putting this project idea out there will help inspire someone to make this happen. Someone with a lot more resources than I have.
This is something we (online community volunteers) could do.