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Gaddo Cardini

Associate

Mentioned in 71 documents · View JSON · Connections JSON

Associate

Borrower on Jeffrey Epstein's own books and a beneficiary of the loan forgiveness clause in his will. Jeffrey Epstein's general ledger carries account 12263 'Gaddo Cardini' at $10,000 under Loans & Exchanges, and both executed versions of the will forgive that debt, listing him second in a five-name list behind Jean-Luc Brunel. Nothing else in the corpus describes what the loan was for or how the two knew each other.

Key Findings

  • EFTA01682558 / EFTA01720157 / EFTA01720231: Jeffrey Epstein's general ledger, Loans & Exchanges, account 12263 'Gaddo Cardini' $10,000. The same schedule carries Darren Indyke at $1,798,000, Leslie Wexner at $20,150, New York Strategy Group at $723,125 and William Hague at $13,500, against a total of $2,711,450.
  • EFTA00082247 / EFTA00082273: named in the will's loan-forgiveness clause, 'I forgive any loans which I made to the following individuals: a) JEAN LUC BRUNEL b) GADDO CARDINI c) MARK EPSTEIN d) LUCIANO A. FONTANILLA, JR.'
  • A LinkedIn notification email sent to Jeffrey Epstein on 5/9/2013 has the subject "Your connection Gaddo Cardini has endorsed you!" and says "I've just endorsed you for new skills & expertise!" (EFTA01971688)

Network Graph #

Edge weights come from people_network.json, which holds the connection lists for every person on this site.

Most Connected With #

Jeffrey Epstein (65)Steven Victor (33)Brock Pierce (30)Darren Indyke (20)Mark Epstein (19)Alberto Pinto (17)Dan Ariely (16)Jean-Luc Brunel (14)Jojo Fontanilla (14)Larry Visoski (11)Bruce Lyons (10)Karyna Shuliak (10)

Photos (3) (view all in gallery) (face search) #

Documents (71) #

EFTA00082247DOJ↗ Dataset 9

EFTA00082273DOJ↗ Dataset 9

EFTA00082296DOJ↗ Dataset 9

EFTA00082382DOJ↗ Dataset 9

EFTA00082414DOJ↗ Dataset 9

EFTA00082441DOJ↗ Dataset 9

EFTA00298542DOJ↗ Dataset 9

EFTA00588882DOJ↗ Dataset 9

EFTA00595434DOJ↗ Dataset 9

EFTA00630845DOJ↗ Dataset 9

EFTA00638515DOJ↗ Dataset 9

EFTA00646411DOJ↗ Dataset 9

EFTA00662012DOJ↗ Dataset 9

EFTA00664364DOJ↗ Dataset 9

EFTA00684169DOJ↗ Dataset 9

EFTA00684243DOJ↗ Dataset 9

EFTA00684620DOJ↗ Dataset 9

EFTA00689503DOJ↗ Dataset 9

EFTA00991139DOJ↗ Dataset 9

EFTA01071198DOJ↗ Dataset 9

EFTA01104063DOJ↗ Dataset 9

EFTA01124380DOJ↗ Dataset 9

EFTA01179640DOJ↗ Dataset 9

EFTA01196168DOJ↗ Dataset 9

EFTA01196253DOJ↗ Dataset 9

EFTA01197251DOJ↗ Dataset 9

EFTA01197491DOJ↗ Dataset 9

EFTA01199438DOJ↗ Dataset 9

EFTA01200906DOJ↗ Dataset 9

EFTA01201383DOJ↗ Dataset 9

EFTA01202153DOJ↗ Dataset 9

EFTA01204296DOJ↗ Dataset 9

EFTA01266329DOJ↗ Dataset 10

EFTA01266359DOJ↗ Dataset 10

EFTA01266380DOJ↗ Dataset 10

EFTA01266403DOJ↗ Dataset 10

EFTA01526113DOJ↗ Dataset 10

EFTA01682558DOJ↗ Dataset 10

EFTA01720157DOJ↗ Dataset 10

EFTA01720231DOJ↗ Dataset 10

EFTA01744449DOJ↗ Dataset 10

EFTA01897111DOJ↗ Dataset 10

EFTA01897439DOJ↗ Dataset 10

EFTA01900436DOJ↗ Dataset 10

EFTA01901682DOJ↗ Dataset 10

EFTA01914307DOJ↗ Dataset 10

EFTA01920721DOJ↗ Dataset 10

EFTA01952315DOJ↗ Dataset 10

EFTA01965526DOJ↗ Dataset 10

EFTA01968089DOJ↗ Dataset 10

EFTA01969614DOJ↗ Dataset 10

EFTA01969798DOJ↗ Dataset 10

EFTA01969869DOJ↗ Dataset 10

EFTA01971688DOJ↗ Dataset 10

EFTA01972278DOJ↗ Dataset 10

EFTA01974412DOJ↗ Dataset 10

EFTA01986177DOJ↗ Dataset 10

EFTA02018218DOJ↗ Dataset 10

EFTA02030973DOJ↗ Dataset 10

EFTA02353157DOJ↗ Dataset 11

EFTA02365919DOJ↗ Dataset 11

EFTA02379940DOJ↗ Dataset 11

EFTA02387772DOJ↗ Dataset 11

EFTA02406638DOJ↗ Dataset 11

EFTA02557769DOJ↗ Dataset 11

EFTA02674484DOJ↗ Dataset 11

EFTA02709060DOJ↗ Dataset 11

EFTA02711459DOJ↗ Dataset 11

EFTA02717673DOJ↗ Dataset 11

EFTA02720924DOJ↗ Dataset 11

EFTA02726074DOJ↗ Dataset 11