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Purpose

The purpose of this paper is to explain why fractal, self‐similarity, and fractional Brownian motions are so pervasive in human systems.

Design/methodology/approach

The analysis involves mainly relative observation, Minkowskian observation, Euclidean observation, and fractional calculus.

Findings

It is shown that observation with informational invariance, which is a modeling of subjectivity, creates fractal, and self‐similarity.

Research limitations/implications

This result could have an application to the quantitative analysis of volatility in finance, for instance.

Practical implications

The paper supports the use of fractional dynamics to describe human systems.

Originality/value

The paper provides practical arguments that may explain why fractals are so pervasive in natural science, and mainly in systems involving human factors.

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