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February 2, 2026Open Access

Observation Is Not Reality: A What-If Demonstration of Observer-Motion-Induced Bias in Local H0 Inference

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Authors

YLYang Liu

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Overview

This repository reveals potential biases in H0 inference due to observer motion modeling, suggesting implications for data integrity.

Key Points

  • This research aims to explore how observer motion affects the inference of H0, pinpointing potential biases in the process.
  • Utilized GitHub repository for data transparency and reproducibility.
  • Implemented observer motion modeling conventions for analysis.
  • Included key derived experimental artifacts for cross-verification.
  • Identified observer motion as a bias source in H0 inference.
  • Facilitated auditability with clear documentation of derived experimental artifacts.

Cite This Study

Yang Liu (2026) studied this question.

synapsesocial.com/papers/6980feb9c1c9540dea8111b9https://doi.org/10.5281/zenodo.18428609
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