Another Bad Week for Sam Bankman-Fried in His Criminal Trial - Ep. 558
Sam Enzer, a partner at the law firm Cahill Gordon & Reindel, told Laura that compelling evidence from Sam Bankman-Fried’s inner circle had increased the difficulty for the fallen FTX CEO to convince a jury of his innocence. Former FTX head engineer Nishad Singh said that he became suicidal after understanding the full magnitude of FTX’s misuse of customer funds, while ex-chief legal counsel Can Sun helped show how SBF allegedly lied to lawyers.
Listen to the episode on Apple Podcasts, Spotify, Overcast, Podcast Addict, Pocket Casts, Stitcher, Castbox, Google Podcasts, Amazon Music, or on your favorite podcast platform.
Show highlights:
- Sam (Enzer’s) thoughts on how the trial is going for the defense
- what Nishad Singh's emotional testimony revealed about SBF
- how Singh felt "betrayed" by Bankman-Fried, who may have been a big brother figure to him
- why the defense went much harder after Singh in its defense than it did the other members of the inner circle
- whether the jury felt empathy with Singh about his suicidal feelings
- what the rationale was behind the order of the witnesses
- why Sam believes that the accounting professor Peter Easton's testimony was "damning" for the defense
- whether the testimony of former FTX general counsel proved that SBF lied to his own lawyers
- why the communications between SBF and his lawyer, which are generally privileged, were divulged in court
- why Sam believes that it's likely that SBF will testify, although he would advise him not to
- Sam Enzer, partner at Cahill Gordon & Reindel.
- Previous appearances on Unchained:
- Why These Lawyers Say It's Over for SBF-But His Only Hail Mary Is to Testify
- SBF Trial: How Sam Bankman-Fried’s Lawyers Might Try and Win His Case
- SBF’s Lawyers Could Be Annoying the Judge. How Might That Impact the Trial?
- Previous coverage by Unchained on the trial of Sam Bankman-Fried:
- How Heated Sidebars During the SBF Trial Could Impact the Jury’s Decision
- SBF Trial, Day 1: Possible Witnesses Include FTX Insiders, Big Names in Crypto, and SBF’s Family
- SBF Trial, Day 2: DOJ Says Sam Bankman-Fried ‘Lied’ While Defense Claims His Actions Were ‘Reasonable’
- SBF Trial, Day 3: Why a True Believer in FTX Flipped Once He Learned One Fact
- SBF Trial, Day 4: SBF’s Lawyers Annoy Judge Kaplan, While Wang Reveals Alameda’s Special Privileges
- Sam Bankman-Fried Trial: Here's Everything That Happened So Far
- SBF Trial, Day 5: SBF's Defense Finally Found Its Legs, But Can It Counter Caroline Ellison?
- SBF Trial, Day 6: Caroline Ellison Recalls 'The Worst Week of My Life'
- SBF Trial, Day 7: In SBF Trial, Did the Defense Lose Its Opportunity With the Star Witness?
- SBF Trial, Day 8: Former BlockFi CEO Adds Credibility to Fraud Charges
- SBF Trial, Day 9: Nishad Singh Describes Former FTX CEO as a Bully and Big Spender
- SBF Trial, Day 10: Defense Struggles to Discredit Nishad Singh's Testimony
- SBF Trial, Day 11: How Alameda Got FTX Into a $9 Billion Hole
- Did Sam Bankman-Fried Have Intent to Defraud FTX Investors?
- Good Morning America: FTX's Sam Bankman-Fried on crypto giant's collapse: 'A lot of people got hurt. And that's on me'
Learn more about your ad choices. Visit megaphone.fm/adchoices
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.