Parkinson's Law of Data
Updated 2026-08-08
INTRODUCTION
English translation pending.
CORE DEFINITION
An adaptation of C. Northcote Parkinson's observation that work expands to fill the available time, applied to information systems. The law states that data volume grows to consume whatever storage, bandwidth, and processing capacity exists, because higher-resolution media, more verbose logging, and redundant copies are always available. Capacity expansion therefore never resolves congestion, since demand is elastic. Managing data requires deliberate limits rather than more space.
SCAFFOLDING EFFECT
Reduce cognitive load
- Set retention limits: decide how long each data type is kept before any collection begins - Gate collection: require a stated use for new data rather than storing it in case it helps later - Value by use: evaluate stored data by how often it is actually read
Anchor fast decisions
Storage that is cheap and available lowers the cost of keeping everything, and the cost of deciding what to discard stays high because it requires judgment. Rational actors therefore defer deletion, and each new sensor, log level, or format fills the space freed by the last upgrade. Because collection costs less than curation, growth is the default and pruning requires an explicit decision.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Parkinson%27s_lawverified
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