Wikipedia
OrganizationRelationship Network
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This document is a page from a court transcript filed on August 10, 2022, related to Case 1:20-cr-00330-PAE (United States v. Ghislaine Maxwell). It details a discussion between attorneys (Ms. Moe and Ms. Menninger) and the Court regarding the admissibility of internet materials, specifically Wikipedia pages and tabloid articles, as evidence before a jury. Ms. Menninger argues she is providing materials in advance to expedite proceedings, while Ms. Moe objects to their nature.
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This legal document, filed on April 9, 2020, is a motion seeking to compel the government to produce discovery related to the death of Jeffrey Epstein. The motion argues that multiple federal agencies, including the DOJ, FBI, and U.S. Marshals Service, have conducted investigations, and the defense is entitled to reports and documents from these inquiries. The document cites various news reports and a previous court order from November 2019 to support its claim that the government has failed to meet its disclosure obligations.
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This document appears to be a page from a book (likely 'Epstein: Dead Men Tell No Tales' based on the ISBN in the footer) included in House Oversight Committee records. The text narrates a meeting between an interviewer and Russian lawyer Anatoly Kucherena in Moscow regarding Edward Snowden. It details Kucherena's background, his friendship with Vladimir Putin, and his roster of high-profile, often controversial clients including Viktor Yanukovych and alleged organized crime figures.
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The document is an excerpt from a book (James Patterson) discussing the fraudulent activities of Al Seckel and his wife Isabel Maxwell (sister of Ghislaine Maxwell). It details Seckel's history of unpaid debts, lawsuits, and moving to France to avoid legal trouble. The text also touches on Jeffrey Epstein's 'Mindshift' conferences in the Virgin Islands and a 2012 gathering attended by prominent scientists including Stephen Hawking, noting that some organizations like Ballet Palm Beach later distanced themselves from Epstein.
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This document is an annotated screenshot of a Google search results page for 'Jeffrey Epstein' from early 2013, prepared by a reputation management professional. The annotations track the ranking movements of various web pages compared to a January 25th benchmark, explicitly mentioning 'linkbuilding' efforts to promote Epstein's foundations and suppress negative news articles, including one involving Prince Andrew. The document originated from the House Oversight Committee.
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This document is a page containing a scientific figure (Figure S10) titled 'Biographical Records' from a larger report. It displays two line graphs (A and B) plotting the number of people/records parsed from Wikipedia and 'EB' (Encyclopedia Britannica) against years ranging from 1800 to 1980. The page includes a Bates stamp 'HOUSE_OVERSIGHT_017049', indicating it is part of a document production for the House Oversight Committee.
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This document is a page of supplementary references for a scientific paper titled 'Quantitative analysis of culture using millions of digitized books' by Michel et al. (likely the 2011 'Culturomics' paper). It lists technical citations related to OCR technology, data processing (MapReduce), and information quantification. The document bears a 'HOUSE_OVERSIGHT' Bates stamp, indicating it was part of evidence collected during a congressional investigation, likely related to Jeffrey Epstein's connections to scientific research and funding.
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This document appears to be a page (p. 28) from a scientific or academic methodology paper found within House Oversight files (Bates stamped HOUSE_OVERSIGHT_017036). It details a quantitative analysis of historical censorship, specifically identifying individuals suppressed by the Nazi regime using Wikipedia data and language frequency analysis. The authors discuss validating their statistical 'suppression index' by hiring an expert from Yad Vashem to manually annotate a list of names.
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This document appears to be page 27 of a scientific or academic paper attached to a House Oversight investigation (likely related to Epstein due to the prompt context, though not explicitly stated in the text). The text details the methodology for cleaning and verifying historical datasets of banned authors during the Nazi era (1925-1945), specifically referencing the 'Hermann lists' and the 'Berlin list.' It discusses technical decisions regarding data entry, including the handling of pseudonyms and the anomaly of Adolf Hitler appearing on a banned book list due to a French commentary edition of Mein Kampf.
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This document appears to be a page (page 26) from the supplementary materials of an academic study regarding cultural immortality and fame, produced as part of a House Oversight release. It details the methodology used to analyze the history of technology (Section III.8) using Wikipedia data for inventions between 1800 and 1960, addressing potential sampling biases and data normalization. It also begins a section on Censorship (III.9) and the influence of propaganda.
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This document is page 25 of a technical or academic report produced for the House Oversight Committee (Bates stamped HOUSE_OVERSIGHT_017033). The text outlines a methodology for statistically analyzing 'fame' using word frequency time series from Wikipedia and Encyclopedia Britannica. It defines metrics such as 'Age of initial celebrity,' 'Doubling time of fame,' and 'Half-life of fame.' While part of the Epstein document production, the page itself contains no specific names of associates, flight logs, or financial data, but rather appears to be part of a scientific paper (possibly related to Epstein's funding of academic research or the MIT Media Lab).
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This document appears to be a page from a technical report or methodology section (likely an appendix) submitted as evidence to the House Oversight Committee (marked HOUSE_OVERSIGHT_017032). It details algorithms and criteria for data analysis, specifically focusing on 'conflict resolution' to disambiguate names in databases like Wikipedia and Encyclopedia Britannica. It outlines a process for identifying the 'most relevant name' for an individual based on 'fame signals,' word frequency, and view statistics.
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This document is page 23 of a technical report produced to the House Oversight Committee (Bates stamp HOUSE_OVERSIGHT_017031). It details a data processing methodology for analyzing name frequencies and 'fame signals' within a database. The text focuses on algorithmic steps (III.7.A.6 through III.7.A.8) to handle ambiguous names (homonymity) and distinguish between different individuals with similar names using data sources like Encyclopedia Britannica and Wikipedia.
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This is page 22 of a technical document produced to the House Oversight Committee (Bates stamp HOUSE_OVERSIGHT_017030). The text describes a data processing methodology (Section III.7.A.5) for standardizing and extracting individual names from databases like Encyclopedia Britannica and Wikipedia to create 'query names.' It outlines specific algorithmic rules for handling titles, prefixes (e.g., 'von', 'de'), and formatting issues to accurately identify individuals despite variations in how their names appear in text.
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This document page (21) appears to be part of a technical appendix or supplementary material for a report regarding data analysis methodology, specifically related to measuring 'fame' or 'notability'. It details the process of extracting and processing biographical data from Encyclopedia Britannica and Wikipedia for individuals born between 1800 and 1980, including handling spelling variants and OCR limitations. The footer 'HOUSE_OVERSIGHT_017029' indicates this document is part of materials collected by the House Oversight Committee.
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This document appears to be a page from a supplementary methodology section of an academic paper or report regarding data analysis of Wikipedia entries. It details the process of creating a database of people born between 1800 and 1980 to analyze 'fame' and identify occupations using DBPedia and Wikipedia categories. The document is stamped with 'HOUSE_OVERSIGHT_017028', indicating it was part of a document production to the House Oversight Committee.
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This document appears to be page 19 of a scientific paper or technical appendix (likely related to evolutionary dynamics or cultural analytics) analyzing the concept of 'Fame.' It details a methodology for extracting biographical data from Encyclopedia Britannica and Wikipedia via DBPedia to study the frequency of names over time. The text uses famous historical figures like Albert Einstein, Henry Kissinger, and Rupert Murdoch as examples of how data is categorized by birth year.
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This document appears to be page 15 of a scientific methodology paper or appendix regarding linguistic analysis and '1-grams' (likely related to the 'Culturomics' study or Google Ngrams). It details control methods using historical data (presidents, treaties, country name changes) to verify frequency peaks in a dataset and estimates word counts using the American Heritage and Webster's dictionaries. While the document bears a 'HOUSE_OVERSIGHT' Bates stamp, indicating it was part of a congressional document production, the text itself contains no direct references to Jeffrey Epstein, his associates, or criminal activities.
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This document page details methodologies for analyzing n-gram frequencies over time, specifically addressing how to handle multiple query cohorts by normalizing data to avoid bias from frequency differences. It also outlines the sources used for collecting historical and cultural data, primarily citing Wikipedia and Encyclopedia Britannica, while noting efforts to verify accuracy and minimize manual annotation bias.
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This document is page 6 of a scientific paper titled 'Culturomics' published in Sciencexpress on December 16, 2010, bearing the stamp HOUSE_OVERSIGHT_017001. It contains a bibliography and an acknowledgments section detailing funding sources for the research, specifically noting the 'Program for Evolutionary Dynamics' at Harvard, which was historically funded by Jeffrey Epstein (though Epstein is not explicitly named on this page). The document also acknowledges support from Google, the Bill and Melinda Gates Foundation, the NIH, and the Templeton Foundation.
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This document is a page from a scientific paper published in 'Science' or 'Sciencexpress' on December 16, 2010, bearing the Bates stamp HOUSE_OVERSIGHT_016999. The text discusses a statistical analysis of fame and censorship using data from Wikipedia and Google Books, analyzing the trajectories of celebrity for figures like Bill Clinton and the impact of Nazi censorship on figures like Marc Chagall. While part of a government oversight release (likely related to Epstein's connections with scientists), the content itself is purely academic.
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This document is page 51 of an academic or scientific essay/book discussing the history of computing and biology. It draws parallels between John von Neumann's abstract machines and DNA replication (referencing Watson and Crick), contrasts von Neumann architecture with Harvard architecture, and discusses the historical relationship between von Neumann, Alan Turing, and Norbert Wiener. The page bears a 'HOUSE_OVERSIGHT' Bates stamp, indicating it was included in documents produced for a congressional investigation, likely related to Jeffrey Epstein's ties to the scientific community.
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This document appears to be a compilation of notes and correspondence submitted to the House Oversight Committee (stamped 017601). It contains conspiratorial text linking Erik Prince, 9/11 events, and Benghazi to a 'New World Order,' alongside criticism of Obama's Gitmo policy. It includes a transcript of a Facebook message to Dick Cheney about interrogation techniques and a specific email to 'Deputy Lyddy' describing a female subject as exhausted, sleep-deprived, and hungry, followed by commentary on 'reversed-engineered SERE' and the APA's role in torture justification.
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This document is a digital communication log from June 13, 2018, bearing a House Oversight stamp. It details an exchange primarily involving the email address 'e:jeeitunes@gmail.com' (associated with Hunter Biden) discussing political events, specifically the Trump-Kim summit and Rudy Giuliani. Crucially, the log includes a link to the Wikipedia page of Thorbjørn Jagland, a Norwegian politician who had previously met with Jeffrey Epstein, establishing the document's relevance to Epstein investigations.
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A message log from April 20, 2017, between Jeffrey Epstein (using the alias jeeitunes) and an unidentified individual. They discuss Geoffrey Ling, with the correspondent noting Ling is a close friend who tried to recruit them to DARPA. Epstein suggests the individual visit the MIT Media Lab and offers to secure an appointment; the individual responds enthusiastically but notes they must first travel to Seattle with 'bg' (likely Bill Gates) until April 29.
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