A theory is like medicine or government: often useless, sometimes necessary, always self-serving and, on occasion, lethal. It needs to be used with care, moderation and close adult supervision.

A theory is like medicine or government: often useless, sometimes necessary, always self-serving and, on occasion, lethal. It needs to be used with care, moderation and close adult supervision.

📖 Nassim Nicholas Taleb

🌍 Lebanese  |  👨‍💼 Scientist

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This thought-provoking quote by Nassim Nicholas Taleb draws a compelling analogy between theory, medicine, and government, emphasizing their complex and multifaceted nature. It highlights the paradoxical relationship that humans have with abstract models or systems designed to explain, heal, or govern. The phrase "often useless, sometimes necessary" captures the intrinsic uncertainty and variability in their effectiveness. The notion that theories can be "self-serving" underlines human bias and the risks of intellectual arrogance, while the warning about their potential lethality reminds us of the very real consequences when flawed or misapplied ideas impact lives or societies.

Taleb’s sharp observation insists on a cautious approach to theories, insisting they require "care, moderation and close adult supervision." This calls for humility, critical thinking, ongoing scrutiny, and ethical oversight when using theories to make decisions or form policies. It also resonates with Taleb’s broader philosophy found in "The Black Swan," where unforeseen and rare events upend accepted knowledge, highlighting the fragility of rigid theories. The quote encourages readers not to treat theories as absolute truths but as provisional tools, subject to revision and limits, much like medicines must be dosed carefully and governments monitored vigilantly.

In essence, Taleb admonishes against blind faith in theoretical constructs, advocating for a pragmatic balance between skepticism and acceptance, with an emphasis on responsibility and vigilance in their application. This perspective serves as a critical reminder in an era saturated with data and models but often lacking sufficient wisdom in their implementation.

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May 29, 2025

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