Allometry is ubiquitous in biology. But its application across some disciplines is more like Fortsche’s story in “Chaos in the brickyeard” (Science 142: 339; 1963). The use of the terms and mathematical expressions are highly variable; many researchers express it as a power function, while in some applications asymptotic functions, polynomials, and even multiple linear regression functions are referred to as allometric. More worrisome is the misplaced correctness in sample estimates of the power law exponent (Please read my article on this issue -- uploaded on ResearchGate). Sometimes exponents estimated in one condition are compared with those of others without reference to the underlying populations and study conditions, and even trivial differences are given seemingly plausible explanations.This then becomes a subject of acrimonious debate, and proposals and counter-proposals of hypotheses/models. Volumes of information are collected but these usually get buried “under the avalanche of random bricks” (as Fortsche would say). Simply put in Fortsche’s expression, in some disciplines the “distinction between a pile of bricks and a true edifice” is rarely made. What can we do to avert this situation from spreading. I think clarity in definitions, circumscription, nomenclature and standardization are needed for effective communication and integration of knowledge cross disciplines.