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Prediction Quote by Nassim Nicholas Taleb

“I use the example as computed by the mathematician Michael Berry. If you know a set of basic parameters concerning the ball at rest, can compute the resistance of the table (quite elementary), and can gauge the strength of the impact, then it is rather easy to predict what would happen at the…” quote by Nassim Nicholas Taleb
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““I use the example as computed by the mathematician Michael Berry. If you know a set of basic parameters concerning the ball at rest, can compute the resistance of the table (quite elementary), and can gauge the strength of the impact, then it is rather easy to predict what would happen at the first hit. The second impact becomes more complicated, but possible; you need to be more careful about your knowledge of the initial states, and more precision is called for. The problem is that to correctly predict the ninth impact, you need to take into account the gravitational pull of someone standing next to the table (modestly, Berry's computations use a weight of less than 150 pounds). And to compute the fifty-sixth impact, every single elementary particle of the universe needs to be present in your assumptions!””

Nassim Nicholas Taleb

About This Quote

Source Speech: Lecture on Complexity and Prediction, Nassim Nicholas Taleb, 2012

Predicting complex systems works for early events but quickly fails as many hidden variables and interactions accumulate, making later outcomes practically unknowable.

In simple terms: Early predictions are easier; later ones become impossible due to hidden factors.

Key Takeaway

Accept uncertainty and limit reliance on precise forecasts.

Themes

uncertainty complexity prediction systems limitations

Mood

cautious reflective analytical

Type

philosophical inspirational

When to use this quote

  • physics experiments
  • financial markets
  • weather forecasting
  • engineering safety
  • policy planning

Key Concepts

chaos theory sensitivity to initial conditions emergent behavior

Questions to Reflect On

  • How do you decide when a model is too detailed to be useful?
  • What strategies can mitigate over‑confidence in long‑term forecasts?
A Different Perspective

Even sophisticated models cannot capture every micro‑interaction, so predictions become speculative.

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