The Data Sink Anomaly

A Supernatural Psychological Thriller

Some secrets aren't buried to hide the dead. They are buried to starve the impossible.

Investigative journalist Jessica Holt trusts only what she can measure. Raised in the shadow of her mother’s severe schizophrenia, Jessica uses hard data, digital recordings, and empirical facts as psychological armor against the unexplainable. When she arrives in the isolated, rain-slicked town of Oakhaven to expose a corrupt AI data center expansion, she expects a straightforward story of corporate greed and environmental negligence.

But the massive excavators haven't disturbed a standard burial ground, they have breached an ancient quarantine.
According to local oral history, the site is a “sink” for things that can’t be safely kept in the open, names, lists, histories that have gone rotten. The story isn’t told straight, and it isn’t told the same way twice. It’s a warning about handles: the danger of fixing a loss into something repeatable, recordable, quotable.

Then the excavation opens the ground, and the warning becomes procedural. Pressure drops hard enough to shatter optics. People vanish, not only from payroll databases and county logs, but from the town’s ability to hold them in mind. Desperate to prove she isn’t inheriting her mother’s fracture, Jessica surrounds the breach with sensors, cameras, and cloud-sync pipelines. It is a fatal miscalculation. The anomaly isn’t a ghost; it is a thermodynamic engine that feeds on certainty, information, and observation. Every attempt to document it turns her evidence into a meal.

As the anomaly threatens to breach the local network and tap into the global internet backbone, Jessica faces an impossible crucible. To starve the sinkhole, she must destroy her evidence, her career, and the physical journals that are her only tether to her own sanity.

The Data Sink Anomaly is a relentlessly paced supernatural thriller where the ultimate threat isn't what hides in the dark, it's what happens when you try to measure it.

Tropes:

• Tech thriller, artificial intelligence, data center
• Local oral history, folklore, containment legend
• Paranormal investigative journalism mystery