Socioplastics 11988 Two Curves Can Rise Without a Shared Cause
Urban research may place two upward-trending lines beside one another and allow proximity to stand in for explanation. CorrelationGap identifies the distance between a measured association and the causal or institutional account needed to interpret it. The marker concerns how variables are selected, how observation periods are aligned and how shared conditions can make processes appear connected. A persuasive diagram may travel faster than the assumptions needed to understand its relation to the situation it represents. Ruth Morgan’s environmental history traces institutional and climatic processes through which landscapes become objects of measurement and management. Jennifer L. Lieberman’s histories of electrical technologies illuminate the social arrangements concealed by apparently autonomous technical systems. Neither author offers a formula for causal inference. Their work helps reveal historical mechanisms that contemporary urban correlations may omit, such as changes in infrastructure, reporting practice, land use or access to services. Suppose electricity consumption and recorded heat-related complaints rise in a neighbourhood during redevelopment. The association alone cannot establish whether new building envelopes, changing demographics, weather variation, reporting practices or unequal access to cooling explain either trend. A rigorous inquiry would examine these mechanisms separately, align the relevant time periods and consider how redevelopment may alter both exposure and the likelihood of reporting. This is an illustrative research situation, not a claim about a specific neighbourhood. CorrelationGap differs from MetricEclipse, where an indicator conceals aspects of the reality it represents, and PrecisionMirage, where numerical exactitude produces unwarranted confidence. Here the variables may be meaningful and the statistical association sound. What remains unestablished is the bridge between co-movement and explanation. The marker asks researchers to state the limits of the diagram, identify plausible mechanisms and preserve alternative accounts while evidence develops. A rigorous comparison begins with association and proceeds toward explanation through explicit, testable relationships.
REFERENCES
Lieberman, J.L. (2017) Power Lines: Electricity in American Life and Letters, 1882–1952. Cambridge, MA: MIT Press.
Morgan, R. (2011) Running Out? Water in Western Australia. Crawley: University of Western Australia Publishing.
CITE AS
Lloveras, A. (2026) Socioplastics, LAPIEZA-LAB, Madrid.
https://antolloveras.blogspot.com/p/socioplastics-project-index.html