SΔϕ-65 — Slop as Externalized Restabilization Cost: AI Slop, Human Slop, Authority Pollution, and the Cost of Re-entry (v1.0)
Sofience · 2026 · Zenodo (CERN European Organization for Nuclear Research)
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
This record provides SΔϕ-65 — Slop as Externalized Restabilization Cost: AI Slop, Human Slop, Authority Pollution, and the Cost of Re-entry (v1.0). SΔϕ-65 defines Slop not by whether it is produced by AI or humans, but by whether low execution or production cost externalizes high verification, rebuttal, correction, interpretation, cleanup, and restabilization cost onto others. The central proposition of this document is: Slop is not defined by the producer. Slop is defined by a cost asymmetry: low execution TCC on the producer side, high restabilization TCC on the receiver, platform, expert, p
Abstract by Sofience, Zenodo (CERN European Organization for Nuclear Research) (2026) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Investigating Variation in Replicability
Negative / Null Result ReportMany Labs 2: Investigating Variation in Replicability Across Samples and Settings
Failed Experiment ReportGetting Ahead in the Communist Party: Explaining the Advancement of Central Committee Members in China
Negative / Null Result ReportReducing implicit racial preferences: II. Intervention effectiveness across time.
Negative / Null Result ReportTHE IMPACT OF IMMIGRATION ON THE STRUCTURE OF WAGES: THEORY AND EVIDENCE FROM BRITAIN
Negative / Null Result ReportRevisiting the Marshmallow Test: A Conceptual Replication Investigating Links Between Early Delay of Gratification and Later Outcomes
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.5281/zenodo.20127428
