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May 7, 20260 citationsOpen Access

The Fractal Hierarchy of the Universe as a Predictive Instrument: Extrapolating Unobserved Large-Scale Structure from Known Scaling Laws

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KBKarlo Beyer

Key Points

  • The aim is to leverage observed fractal hierarchies to predict properties of unobserved structures in the universe.
  • Analyzed known fractal hierarchies in the universe like the Local Group and Shapley Attractor.
  • Utilized power-law scaling relations to derive potential properties of unobserved structures.
  • Computed specific predictions for mass, distance, and influence of a hypothetical super-attractor.
  • Predicted mass and distance parameters for the super-attractor beyond Shapley.
  • Identified observational signatures that can be confirmed with Euclid and CosmicFlows-5 data.

Abstract

The large-scale structure of the observable universe exhibits a well-documented fractal hierarchy: the Local Group, Laniakea, and the Shapley Attractor are related by consistent power-law scaling relations. We propose that these measured scaling relations can be used as a predictive instrument: if fractal self-similarity holds beyond the current observational horizon, the properties of the next unobserved level of the hierarchy can be derived from the known levels below it. We compute specific, falsifiable predictions for the mass, distance, and directional influence of a hypothetical super-attractor beyond Shapley, and identify observational signatures testable with Euclid, CosmicFlows-5, and existing DESI DR1 data. This paper stands independently but is motivated in part by the fractal convergence hypothesis presented in Beyer (2026c,zenodo.org/records/20037413).

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Cite This Study

Karlo Beyer (2026) studied this question.

synapsesocial.com/papers/69fbe357164b5133a91a2aa9https://doi.org/10.5281/zenodo.20039025
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