Sam Bankman-Fried Regrets Handing FTX Control To New CEO

TheCryptoTimesPubblicato 2025-10-04Pubblicato ultima volta 2025-10-04

Former FTX CEO Sam Bankman-Fried has described his decision to hand control of the exchange to John J. Ray III in November 2022 as his “single biggest mistake,” claiming it cost him a last-minute chance to rescue the collapsed platform.

In a recent interview with Mother Jones, the 33-year-old former billionaire said he received a call about a potential investment “minutes after” signing over control, but it was too late to reverse the move. Bankman-Fried argued that if he had retained leadership, the funding could have saved FTX from declaring bankruptcy.

Bankman-Fried is currently serving a 25-year sentence for orchestrating one of the largest financial frauds in history. Prosecutors proved he misappropriated billions in user deposits to cover trading losses at Alameda Research, FTX’s sister firm, leading to an $8.9 billion shortfall. John J. Ray III took over as CEO and filed for Chapter 11 bankruptcy on November 11, 2022, the same day Bankman-Fried stepped down.

The remarks reignited friction between FTX’s former leadership and its restructuring team. Ray and his lawyers accuse SBF of reckless mismanagement, while he insists his collapse was due to “mistimed decisions,” not fraud.

FTX Lawsuit and $1.6B repayment show case progression 

The resurfaced comments come as the FTX Recovery Trust files a $1.15 billion lawsuit against Genesis Digital Assets, alleging that Sam Bankman-Fried used customer funds to make an overpriced investment in the Kazakhstan-based bitcoin mining firm. The suit claims the money, funneled through Alameda Research, enriched GDA’s founders while leaving FTX users empty-handed. 

Legal experts say the case highlights a broader pattern of opaque deals that fueled FTX’s collapse, describing it as “a systemic misuse of customer money hidden behind complex offshore structures.”

These revelations align with FTX’s ongoing efforts to return funds to victims. On September 20, the FTX Trust confirmed plans to distribute $1.6 billion to creditors by the end of this month, the largest recovery round to date. 

Alongside the Genesis lawsuit, the move signals a renewed push to close FTX’s $8 billion gap. For Bankman-Fried, the irony is stark: his own choice, not a lost investor, may have sealed FTX’s collapse.

Also read: FTX to Distribute $1.6B to Creditors by End of September


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Probability in the Price: How World Cup Odds Are Calculated

**The Probability in the Price: How World Cup Odds Are Calculated** Two major systems released their "championship probabilities" before the 2026 World Cup, and they disagreed on the favorite. Prediction market aggregators listed France at around **17%**, while the Opta supercomputer gave European champion Spain **16.1%**. These numbers look similar, but their production methods are fundamentally different. The market's **17%** is the **price** that clears after hundreds of millions of dollars in trading across platforms like Polymarket and Kalshi, where contracts trade between 0 and 100 cents, directly representing implied probability. This liquidity is provided by crypto-native market makers like Wintermute, though the market still has "the liquidity profile of an early-stage" asset class. In contrast, Opta's **16.1%** is a **simulated frequency**. Its model uses team data (including betting market odds as an input) to estimate match probabilities, then runs **10,000 full tournament simulations**, counting how often each team wins. Which is more accurate? There is **no rigorous, cross-tournament academic study** directly comparing their track records. However, a persistent **longshot bias**—where low-probability outcomes are systematically overvalued—observed in traditional betting for nearly a century, has also been found in modern crypto prediction markets. Research shows low-price contracts on Kalshi/Polymer less likely to pay out than their implied odds suggest. Unlike traditional bookmakers, prediction markets operate on **public blockchain ledgers**, making every transaction auditable and enabling such research. However, price formation is also influenced by **regulatory uncertainty**, as seen in recent US state-level bans and legal battles over jurisdiction. In summary, the "probability" you see is either a **market-clearing price** subject to behavioral biases and liquidity constraints, or a **model-simulated frequency** that partially incorporates market data. The question of which method is more reliable remains open, highlighting the importance of asking: **How was this number produced?**

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Probability in the Price: How World Cup Odds Are Calculated

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