Purpose of Non-Inferential Constraints
This page establishes strict rules governing the non-inferential use of residential listing data for Kampala. Its purpose is to prevent analytical overreach by clearly defining what the data cannot support. The focus is on disciplined interpretation rather than analytical application.
Non-inferential use means that listings are treated solely as representations of visibility and disclosure, not as evidence of residential conditions, structure, or outcomes.
Visibility Does Not Equal Reality
Listing-based data reflects what is published, labeled, and exposed by platforms at a given moment. It does not reflect housing stock, occupancy, tenure, or residential demand. Treating visibility as reality introduces structural error into interpretation.
Accordingly, no assumptions should be made about absence, abundance, or distribution of housing based on listing presence or absence.
Prohibited Forms of Interpretation
Non-inferential use explicitly excludes drawing conclusions about residential performance, quality, scale, or composition. It also excludes extrapolation beyond the visible dataset, normalization across areas, or inference of trends or dynamics.
Comparative statements must remain confined to explaining differences in listing mediation and labeling, not differences in residential characteristics.
Declared Data and Structural Gaps
All attributes within listings are declared by publishers or shaped by platform taxonomies. Disclosure is uneven and incomplete. Missing information cannot be imputed, and present information cannot be assumed to be standardized or representative.
These structural gaps require that the data be read descriptively and defensively.
Application Across All Modules
The non-inferential rule applies uniformly across overview, market, regulation, risks, and methodology modules. It governs district pages, comparisons, spatial references, and categorical descriptions alike.
This constraint ensures that the content remains explanatory rather than analytical, preserving interpretive integrity.
