Building Universes From Code: When Information Loses Its Shape
- Tim Ellis
- Jan 26
- 1 min read
Series: The Shape of Information - Part 2
Most data problems don’t arrive as disasters. They arrive quietly - field by field, assumption by assumption - until trust in the system begins to fade.
In nature, erosion rarely happens all at once. A coastline doesn’t vanish overnight. It changes grain by grain, tide by tide, until the landscape no longer resembles what it once was.
Data inconsistency behaves the same way.
A field is renamed here. A unit is interpreted differently there. A format is extended in one place and assumed unchanged in another.
Nothing breaks immediately. Systems continue to run. But slowly, meaning begins to leak away. Imports require special cases. Exports need explanation. Trust in the data weakens, even if no single failure can be blamed.
This is why inconsistent import and export formats are so difficult to deal with. The damage is rarely dramatic. It accumulates quietly, spreading uncertainty through everything that depends on the data.
And once that uncertainty takes hold, every connection becomes fragile.
The solution is not constant correction, but stability. A commitment to formats that endure. To structures that change deliberately, not accidentally.
Continue the Journey
This is the second entry in this week's three-part exploration of 'The Shape of Information'.
This weeks chapters are:
Part 1: The Need for a Common Language
Part 2: When Information Loses Its Shape (you're here)
Part 3: The Quiet Power of Consistency
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