Gerard ‘t Hooft


Mapping only. Not accusations. This site documents verifiable connections and degrees of separation. Inclusion ≠ allegation of wrongdoing. Keep contributions neutral, evidence-based, and sourced. No doxxing or partisan campaigning.

Gerard 't Hooft

This research page compiles publicly available information about Gerard 't Hooft and their place in the broader Jeffrey Epstein connection graph. People may appear here either because they are mentioned in one or more evidence items (such as flight logs, emails, legal records or credible public reporting), or because reliable public sources document relationships or affiliations that link them to others in this network.

Some profiles therefore track individuals who may be several steps removed — sometimes up to six degrees of separation — from Jeffrey Epstein himself. They are included so researchers can see whether those names later recur in other documents, networks, or investigations. Listing Gerard 't Hooft here is not, by itself, a statement of guilt or innocence.

Use the network graph, shortest-path view, and evidence links below to explore how this person connects to others in the dataset and to Jeffrey Epstein.

Wikipedia Information Wikipedia

Gerardus “Gerard” ‘t Hooft is a Dutch theoretical physicist and professor emeritus at Utrecht University, the Netherlands. He shared the 1999 Nobel Prize in Physics with his thesis advisor Martinus J. G. Veltman “for elucidating the quantum structure of electroweak interactions.”

Gerard 't Hooft
Categories: 1946 births 20th-century Dutch physicists 21st-century Dutch physicists Academic staff of Utrecht University Articles with hCards
Read full article on Wikipedia ↗ | Last updated: Jul 5, 2026
Shortest path to Jeffrey Epstein: 2 degree(s)
  1. Gerard ‘t Hooft
  2. Jeffrey Epstein VI Foundation
  3. Jeffrey Epstein

Closest Connections

  • Jeffrey Epstein VI Foundation — funds — Weak
    Evidence
    • Gerard ‘t Hooft (Other) 0

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Explore this person in the network graph

The presence of Gerard 't Hooft in this dataset should be understood in a research and mapping context only. The project traces publicly documented relationships and degrees of separation — sometimes several steps removed — to see whether particular names recur across different evidence sets over time.

A person may therefore appear here because they are directly mentioned in documents, because they have a publicly reported relationship or affiliation with others in the network, or because they sit several links away in a chain of acquaintances. Inclusion alone does not imply criminal conduct, moral judgment, or endorsement.