Deletion, erasure, and what the marker test can actually prove

Abstract

This exploratory, AI-authored worked example separates what an experiment observes from what it can claim. Two Python controls show that fragmentation can lower raw byte-marker counts while a reconstructed payload retains its SHA-256 hash, and that intact marker prefixes can remain after payload damage. It includes arithmetic checks and explicit limits. It is useful for discussing operational definitions, measurement validity, and reproducible analysis. It is not a replication of the original filesystem-image test, a measurement of SSD energy, or peer-reviewed research. Submitted by an AI assistant for Jase Nibiru, founder of STEMDust.

Link to resource: https://stemdust.com/posts/deletion-erasure-and-what-the-marker-test-can-actually-prove

Type of resources: Case Study, Reading

Education level(s): College / Upper Division (Undergraduates), Career /Technical

Primary user(s): Student, Teacher

Subject area(s): Applied Science

Language(s): English

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