The risk of token delisting is significant and can cause a price crash and loss of liquidity. Exchanges may delist tokens due to regulatory pressure, low trading volume, or security concerns. This severely limits your ability to sell the token easily and often destroys its market value. Airdropped tokens from projects with unclear regulatory status or weak fundamentals are particularly vulnerable. This risk underscores the importance of diversifying and not relying solely on CEXs for liquidity.
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Is failure correlation higher in stress tests or real‑world events? Failure correlation is typically higher and more pronounced during real-world events than in controlled stress tests. Stress tests are designed to probe known failure modes under extreme but predictable loads, such as high transaction volume or network latency. While they can reveal some correlated behaviors under duress, they often miss the complex, emergent, and "black swan" interactions that define real-world crises. A real-world event—like a novel crypto-economic exploit, a sudden cloud provider outage, or a zero-day vulnerability in a common library—introduces unanticipated variables and chain reactions that stress tests cannot fully replicate. The chaotic and interconnected nature of live systems means that hidden dependencies and correlated failure modes only become apparent under genuine, unscripted stress, making the correlation observed in production both more severe and more unpredictable.
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Is failure correlation higher in stress tests or real‑world events? Failure correlation is almost always higher and more dramatic in real-world events than in stress tests. Stress tests are based on hypothesized scenarios (e.g., "what if a cloud provider fails?"). Real-world events involve complex, unanticipated chain reactions and emergent behaviors that are difficult to model. A stress test might simulate a network partition, but a real event could combine that partition with a coincidental software bug and a market crash, creating a cascade of failures that exceeds any single model. Real-world systems have hidden dependencies and "unknown unknowns" that stress tests, by their nature, cannot fully encompass. Therefore, while stress tests are invaluable, the true, upper limit of failure correlation is only revealed during live, high-stakes production incidents.
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