Who Ya Gonna Call? A Retrospective Study of Ghosts in a Bayesian Smart Home

person covered with white blanket standing near the glass window

Orphaned Entities, Disappearing Light Bulbs, and the Ectoplasmic Burden of Home Automation

Dr. Matthew P. Booth1 and Penelope Booth2

1 StrixMCS, Independent Systems Research

2 StrixHome Canine Paranormal Research Unit

Abstract

Reports of intelligent-home hauntings have historically relied on eyewitness accounts, unfortunate thermostat placement, and shaky cell phone footage only to be me with vague assurances that “it only happens when I am alone.” We examine a two-bedroom Home Assistant installation of StrixHome to determine whether apparent domestic spectral activity is better explained by supernatural agency or software objects that no longer exist. The study uses a retrospective, single-residence design combining owner-reported Spook integration findings (2025–2026), a dated systems inventory (1,687 active-state entities; 63 automations), and incident records of intermittent smart-light availability. We introduce the Spectral Entity Misidentification Protocol (SEMP), under which a “ghost” is operationally defined as an entity identifier repeatedly addressed by an automation despite its absence from the entity registry. The case series includes a deceased weather endpoint, a departed Apple TV, seven medication-log callers addressing a non-existent notifier, and a missing reminder timestamp helper. Separately, the front-door and laundry lights experienced short, documented connectivity gaps, providing an excellent visual imitation of poltergeist behavior without evidence of one. All observed hauntings were compatible with ordinary software or transport mechanisms; zero ectoplasmic packets were independently verified. We conclude that the contemporary smart home can be haunted by its own configuration, and that an exorcism usually begins with a careful read of the YAML.

Keywords: Home Assistant; Spook; ghost detection; orphaned entities; Bayesian occupancy; smart lighting; supernatural null hypothesis

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Published by B McGraw

B McGraw has lived a long and successful professional life as a software developer and researcher. After completing his BS in spaghetti coding at the department of the dark arts at Cranberry Lemon in 2005 he wasted no time in getting a masters in debugging by print statement in 2008 and obtaining his PhD with research in screwing up repos on Github in 2014. That's when he could finally get paid. In 2018 B McGraw finally made the big step of defaulting on his student loans and began advancing his career by adding his name on other people's research papers after finding one grammatical mistake in the Peer Review process.

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