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I have also thought of a model city from which all…

“I have also thought of a model city from which all possible cities can be deduced," Marco answered. "It is a city made only of exceptions, exclusions, incongruities, contradictions. If such a city is the most improbable, by reducing the number of abnormal elements, we increase the probability that…” quote by Italo Calvino
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““I have also thought of a model city from which all possible cities can be deduced," Marco answered. "It is a city made only of exceptions, exclusions, incongruities, contradictions. If such a city is the most improbable, by reducing the number of abnormal elements, we increase the probability that the city really exists. So I have only to subtract exceptions from my model, and in whatever direction I proceed, I will arrive at one of the cities which, always as an exception, exist. But I cannot force my operation beyond a certain limit: I would achieve cities too probable to be real.””

Italo Calvino

About This Quote

This interpretation was drafted with AI assistance. It is one reading of the quote, not the author's own explanation.

The quote suggests that by removing contradictions and exceptions from a model, we can approach a more probable, realistic representation, but over‑simplifying makes it unrealistic.

In simple terms: Simplify a model by stripping exceptions to find realistic possibilities, but avoid over‑simplification.

Key Takeaway

Balance simplification with necessary complexity.

Themes

modeling probability complexity abstraction philosophy

Mood

thoughtful analytical curious

Type

philosophical inspirational

When to use this quote

  • urban planning
  • software design
  • scientific modeling
  • creative writing
  • policy analysis

Key Concepts

Systems theory reductionism probabilistic reasoning

Questions to Reflect On

  • What essential elements might be lost when we strip away exceptions?
  • How do we decide which contradictions are tolerable?
A Different Perspective

Over‑simplification can erase essential variability, leading to inaccurate predictions.

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