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A graph explorer of the Epstein emails

epstein-doc-explorer-1.onrender.com

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Re: A graph explorer of the Epstein emails

#71
post #68

Earlier quoted context omitted.

This has been attempted many times. They all fail the same way. These general data models start to become useful and interesting at around a trillion edges, give or take an order of magnitude. A mature graph model would be at least a few orders of magnitude larger, even if you aggressively curated what went into it. This is a simple consequence of the cardinality of the different kinds of entities that are included i…

>These general data models start to become useful and interesting at around a trillion edges That is a wild claim. Perhaps for some very specific definition of "useful and interesting"? This dataset is already interesting (hard to say whether it's useful) at a much tinier scale.

This is not a "general purpose data model", though. A better example would be Wikidata which at about 100M nodes and 1B edges (so orders of magnitude less than that 1T claim) is already enabling plenty of useful queries about all sorts of publicly-available data and entities.

Re: A graph explorer of the Epstein emails

#72

Earlier quoted context omitted.

[flagged]

Of course, deflect discussion to Trump. Does that make any of those other people look better to you? Trump gave information against Epstein in 2009 and unlike Bill and others did cut ties after learning he was poaching girls from Mar-a-Lago. I specifically made the point to look into those who were friends with Epstein even after knowing what he was doing. Nice whataboutism though. Feel free to reference source mater…

What I don't understand is the pretense of defending Trump at all. I mean, it's clear that even if you watched Trump assault a 13 year old with your own eyes, it wouldn't impact your support for him. Why pretend that there is some moral divide between Bill Clinton and Donald Trump in this when you can just say "I support Donald Trump no matter what, and despite Bill Clinton no matter what"?

Personally I've never been shocked that some of the most powerful people in the world like to go to a private sex-island where they could do as they pleased. That's precisely the incentive to becoming so incredibly powerful in the first place: to be able to pursue personal gain with increasingly less consequences.

Re: A graph explorer of the Epstein emails

#73
post #53

Earlier quoted context omitted.

Even if Trump cut off ties with Epstein in 2017, he should clearly be held accountable for his past actions. Here's 2 pretty damning emails: --- Epstein to Maxwell 2011-04-02 > i want you to realize that that dog that hasn’t barked is trump... [VICTIM] spent hours at my house with him ,, he has never once been mentioned. police chief. etc. im 75% there --- Epstein to Ruemmler 2018-08-23 > you see, i know how dirty do…

[flagged]

Could you explain how “no confirmed meeting” implies “they never met”?

Re: A graph explorer of the Epstein emails

#74

What if we extended this idea beyond one dataset to all discrete news events and entities: people, organizations, places. Just like here you could get a timeline of key events, a graph of connected entities, links to original documents. Newsrooms might already do this internally idk. This code might work as a foundation. I love that it's RDF.

Check out GDELT!

https://www.gdeltproject.org/

Re: A graph explorer of the Epstein emails

#75

What if we extended this idea beyond one dataset to all discrete news events and entities: people, organizations, places. Just like here you could get a timeline of key events, a graph of connected entities, links to original documents. Newsrooms might already do this internally idk. This code might work as a foundation. I love that it's RDF.

This has been attempted many times. They all fail the same way. These general data models start to become useful and interesting at around a trillion edges, give or take an order of magnitude. A mature graph model would be at least a few orders of magnitude larger, even if you aggressively curated what went into it. This is a simple consequence of the cardinality of the different kinds of entities that are included i…

> It would be cool to have something like this ..

Aren't LLMs something like this?

Re: A graph explorer of the Epstein emails

#76

Earlier quoted context omitted.

This has been attempted many times. They all fail the same way. These general data models start to become useful and interesting at around a trillion edges, give or take an order of magnitude. A mature graph model would be at least a few orders of magnitude larger, even if you aggressively curated what went into it. This is a simple consequence of the cardinality of the different kinds of entities that are included i…

> It would be cool to have something like this .. Aren't LLMs something like this?

An LLM probabilistically produces tokens over its model which is why it can hallucinate whilst an actual graph model would not have that issue

Re: A graph explorer of the Epstein emails

#78

Earlier quoted context omitted.

[flagged]

Of course, deflect discussion to Trump. Does that make any of those other people look better to you? Trump gave information against Epstein in 2009 and unlike Bill and others did cut ties after learning he was poaching girls from Mar-a-Lago. I specifically made the point to look into those who were friends with Epstein even after knowing what he was doing. Nice whataboutism though. Feel free to reference source mater…

>Of course, deflect discussion to Trump

Interesting attempted deflection away from Trump.

Re: A graph explorer of the Epstein emails

#79

Earlier quoted context omitted.

Trump was with Epstein in 2017, he didn't cut ties at all

That's a lie that has already been proven false since Trump's entire trip was documented. Love how we have actual evidence against people but discussions always devolve into some conspiracy related to Trump. ---- Based on the available evidence, there is no confirmed meeting between Trump and Epstein in 2017. While both men were in Palm Beach during Thanksgiving week 2017, there is no direct evidence they met. Here's…

>Trump's official calendar for that week shows his activities included:

Damn, Trump would have 100% listed his sex crimes on his official calendar. Case closed.

Re: A graph explorer of the Epstein emails

#80
post #68

Earlier quoted context omitted.

This has been attempted many times. They all fail the same way. These general data models start to become useful and interesting at around a trillion edges, give or take an order of magnitude. A mature graph model would be at least a few orders of magnitude larger, even if you aggressively curated what went into it. This is a simple consequence of the cardinality of the different kinds of entities that are included i…

>These general data models start to become useful and interesting at around a trillion edges That is a wild claim. Perhaps for some very specific definition of "useful and interesting"? This dataset is already interesting (hard to say whether it's useful) at a much tinier scale.

It was a widely observed heuristic going back to the days when the Semantic Web was trendy. The underlying reason is also obvious once stated.

Almost every non-trivial graph data model about the world is a graph of human relationships in the population. If not directly then by proxy. Population scale human relationship graphs commonly pencil out at roughly 1T edges, a function of the population size. It is also typically the highest cardinality entity. Even the purpose isn’t a human relationship graph, they all tend to have one tacitly embedded with the scale implied.

If you restrict the set of human entities, you either end up with big holes in the graph or it is a graph that is not generally interesting (like one limited to company employees).

The OP was talking about generalizing this to a graph of people, places, events, and organizations, which always has this property.

It is similar to the phenomenon that a vast number of seemingly unrelated statistics are almost perfectly correlated with GDP.

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