Concept
Evidence Systems
Infrastructure for gathering, structuring, and evaluating evidence that informs decision quality.
Research Area
Infrastructure
Status
Active Research
Version
0.1
Last Updated
July 2026
Related Discipline
Epistemology, Data Engineering
Implementation
Orqis
Evidence Systems are the infrastructure responsible for transforming raw observations into structured evidence that can inform qualification decisions. They include validation engines, simulation environments, and outcome tracking systems.
Precise Definition
Evidence systems are decision infrastructure components that collect, structure, label, and preserve observations with full provenance, enabling qualification decisions to be grounded in auditable, composable proof rather than assertion.
Key Properties
- Provenance tracking — every piece of evidence traces back to its source, method, and conditions of collection
- Epistemic labeling — evidence carries metadata about its reliability, recency, and environmental context
- Composability — individual evidence artifacts combine into higher-order assessments without losing attribution
- Immutability — once recorded, evidence snapshots are append-only, preserving the historical record for audit and learning
- Comparable structure — evidence from different sources conforms to shared schemas, enabling cross-method evaluation
Why It Matters
Evidence is the currency of qualification. Without systematic evidence infrastructure, qualification decisions rely on intuition, recency bias, or incomplete information. Evidence Systems ensure that every qualification decision is grounded in structured, comparable, and auditable observations.
Boundary
What this concept is not
Evidence systems are not raw data pipelines, not dashboards, and not prediction models. They sit between data collection and decision-making — structuring observations into evidence that qualification systems can consume.
Examples
Backtest validation: the quant engine produces structured validation results (return, drawdown, Sharpe, trade count) that become evidence artifacts attached to a strategy version
Paper trading simulation: live-market simulation generates behavioral evidence (regime sensitivity, drawdown patterns, fee efficiency) that backtest alone cannot provide
Qualification proof: regime-conditioned trade outcomes accumulate into structured proof records that determine whether a strategy has earned live deployment
Conceptual Neighbors
Requires
- Qualification Systems
Enables
- Decision Quality
- Outcome Attribution
Produces
- Structured evidence
Opposes
- Intuition-based judgment
Current Research Questions
- ?How should conflicting evidence from different sources be reconciled?
- ?What is the half-life of evidence in rapidly changing environments?
- ?Can evidence quality itself be measured and scored?
Related Frameworks
Related Research
Related Papers
This concept is actively implemented in Orqis, Warren Labs' first decision infrastructure platform.