Cognitive-Bias Bank
The Bias Archive preserves the raw intelligence of manipulation — the documented cognitive biases every dark pattern exploits, and the persuasion models reverse-engineered from the PL-4 constructs — so that no exploited mechanism is ever lost to the Lab. It is the institutional memory behind every counter-pattern the Directorate designs.
The Bias & Model Archive
The Bias & Model Archive (zone CV) is one of the core THE RESET facility zones —
a hardened, access-controlled intelligence repository holding the catalogued mechanisms of the
entire Index. Each cognitive bias is documented with its trigger conditions and effect size; the
persuasion models reverse-engineered from PL-4 constructs are held encrypted and air-gapped; and
the rarest primitives are kept under the deepest classification seal. Every entry is logged against
the techniques that exploit it and its place in the Index.
The Archive is engineered for redundancy first. Material is split across independent encrypted repositories on separate keys, with a mirrored secure backup at a second site so no single failure can erase a record. Integrity, access, and classification state stream over the Instrumentation Mesh to the Pattern Fabric; a breach in any repository trips an alarm before anything can be exfiltrated. Its purpose is plain: when a new dark pattern appears, the Archive is what lets the Lab name the bias it exploits and build the counter before it spreads.
Secure Repository
Persuasion models and bias profiles held in redundant encrypted, air-gapped repositories. Split across two sites with continuous integrity, access, and classification telemetry — designed so no single failure, and no single intruder, can destroy or steal a record.
Bias Registry
The authoritative ledger of every catalogued bias: trigger, effect size, the techniques that exploit it, and current status. Each entry is keyed to the Index and to its active Counter-Pattern Lab line.
Counter-Pattern Derivation
The protocol that turns an archived bias or model into a working counter-pattern — isolate the mechanism, design the inverse, and hand it to the Lab to validate. The end of the chain that begins in the Archive.
Catalogued Biases
The Bias Registry tracks the cognitive biases whose models are held in the Archive. Each
carries a registry ID (QH-CB-2091-0xx), ties back to the techniques that exploit it
in the Index, and feeds the active
Counter-Pattern Lab line that builds against it.
| Registry ID | Bias | Exploited by | Models | Status |
|---|---|---|---|---|
QH-CB-2091-003 |
Loss Aversion | Streaks · Fake Scarcity · Retention traps | 15 | Active |
QH-CB-2091-011 |
Social Proof | Fake Social Proof · Astroturf · Manufactured Consensus | 11 | Active |
QH-CB-2091-018 |
Variable Reward (intermittent reinforcement) | Infinite Scroll · Loot Box · Pull-to-Refresh · Notification Roulette | 19 | Growing |
QH-CB-2091-024 |
Sunk-Cost Fallacy | Forced Continuity · Gamified Grind · Streak Anxiety | 8 | Active |
QH-CB-2091-029 |
Authority & Trust Bias | Disguised Ad · Misleading Hierarchy · Fake Expert Endorsement | 10 | Active |
QH-CB-2091-035 |
Anchoring | Drip Pricing · Forced Bundling Upsell · Decoy Pricing | 6 | Active |
QH-CB-2091-041 |
FOMO (Fear of Missing Out) | Countdown Timer · Limited Offer · Activity Notification Storm | 13 | Growing |
QH-CB-2091-046 |
Status Quo Bias | Dark Default · Pre-checked Consent · Roach Motel Cancellation | 5 | Under-modeled |
A bias is never retrieved from the Archive alone. The techniques that exploit it, their case history, and field prevalence live in the Index; the work that keeps each model current and builds against it runs out of the Counter-Pattern Lab. The Archive is the long-term intelligence repository, not the working catalog.
Catalog Integrity & Coverage
Keep the catalog complete
A gap in the bias library is a technique the Lab cannot counter. Every newly logged technique is checked against the Registry for the bias it exploits, and any unmodeled mechanism is opened as a coverage gap — so a weak sector of the catalog can be reinforced before an attacker finds the hole first.
Model-freshness floors
Persuasion models drift as platforms evolve; each carries a minimum freshness target.
A model that drops below floor (see QH-CB-2091-046) is flagged
Under-modeled and prioritized for re-derivation from current
field data before any counter-pattern derivation is allowed to rely on it.
