Purpose of Highlighting Temporal Limitations
This page explains the limitations created by interpreting residential listing data in Kampala as a point-in-time snapshot. Its purpose is to define the decision boundary that separates momentary visibility from continuity, persistence, or change in residential conditions.
The discussion focuses on temporal structure rather than outcomes, trends, or implications.
Snapshot-Based Nature of Listing Data
Residential listing data captures what was visible on platforms at a specific moment of extraction. Each snapshot represents a static cross-section of published listings, independent of what existed before or after that moment.
This structure does not record listing duration, turnover, or lifecycle, and therefore cannot describe temporal behavior.
Sources of Temporal Distortion
Listings may appear, change, or disappear between snapshots due to publisher decisions, platform moderation, or listing expiration. These changes occur independently of underlying residential activity or conditions.
As a result, differences observed between snapshots may reflect publication dynamics rather than residential change.
Limits of Temporal Comparison
Point-in-time data does not support inference about growth, decline, stability, or momentum. Apparent increases or decreases in visibility across snapshots cannot be interpreted as directional movement.
The dataset does not normalize for listing churn, relisting behavior, or platform-specific refresh cycles.
Interpretive Boundaries
Residential listings should be interpreted strictly as momentary visibility states. They cannot be used to infer temporal patterns, trends, or persistence.
This temporal boundary applies across all market, risk, and methodology modules referencing residential listings in Kampala.