Mind Science

2606 Submissions

[2] ai.viXra.org:2606.0061 [pdf] submitted on 2026-06-22 19:48:26

Detection-Rule Leakage and Trust Camouflage

Authors: Michael Zot
Comments: 19 pages; English; formal continuation of ai.vixra 2606.0038.

Public mental-health education helps people name harmful behavior, seek support, and leave abusive dynamics. This paper does not argue against public education. It identifies an adversarial failure mode in open-audience psychological communication: the same detection rules that help victims and bystanders identify harm can also teach motivated actors what to stop showing.The proposed framework identifies Detection-Rule Leakage, the process by which public abuse-detection rules, clinical vocabulary, and relational safety scripts become visible to the same actors those rules are meant to expose. Once detection rules become public, an actor can update presentation style by replacing overt hostility with approved psychological language. This upgraded presentation is called Trust Camouflage.The paper’s central safeguard is function over form. It does not ask observers to memorize suspicious phrases. It asks whether language preserves repair, evidence, accountability, proportional consequences, and pattern visibility over time. The manuscript presents a falsifiable cognitive-security framework, a pre-validation coding protocol, testable hypotheses, and a validation roadmap. It is not a diagnostic, clinical, legal, custody, HR, or relationship-verdict tool.
Category: Mind Science

[1] ai.viXra.org:2606.0038 [pdf] submitted on 2026-06-14 20:38:47

The Open-Audience Failure Of Viral Therapy-Speak Detection-Rule Leakage, Trust Camouflage, and MIPU/MAP Formation in Digital Pseudo-Psychology

Authors: Michael Zot
Comments: 11 Pages.

This paper introduces the Open-Audience Pseudo-Psychology Risk Model (OAPRM), a framework for analyzing the risks created when clinical, forensic, and therapeutic concepts are converted into viral public content. Mental-health content about narcissism, gaslighting, love bombing, coercive control, DARVO, red flags, and abuse detection is typically framed as victim education. This paper argues that such framing ignores the open-audience structure of algorithmic platforms. In public feeds, victims are not the only viewers. Confused observers, false accusers, reputation managers, manipulators, and abusive actors can all receive the same detection rules.The paper identifies detection-rule leakage as the central failure: when content teaches victims what to recognize, it can simultaneously teach adversarial viewers what to hide. This creates asymmetric benefit. Victims may gain language for harm, while harmful actors may gain operational knowledge about which behaviors trigger suspicion. The paper formalizes this process through the concepts of Trust Camouflage, Weak Disclosure, Resilient Disclosure, and MIPU/MAP formation. Trust Camouflage describes the use of therapeutic language, such as boundaries, healing, accountability, and emotional safety, to appear trustworthy while maintaining harmful control dynamics underneath.OAPRM proposes that viral pseudo-psychology content should be evaluated not only by accuracy, intent, or creator credentialing, but by audience composition, adversarial uptake, disclosure resilience, and downstream behavioral adaptation. The paper argues that public abuse-awareness content can unintentionally degrade its own detection value when the people being described learn the signs and adapt around them. It concludes by proposing resilient disclosure principles for mental-health education that can support victims without broadcasting evasion manuals to adversarial audiences.
Category: Mind Science