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Scientific Integrity & Citation Standard

Citation & Evidence Hierarchy Policy

We maintain an uncompromising citation standard. Claims regarding conversion lift, response latency, email deliverability, and software performance must be rooted in verifiable empirical documentation.

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The 6-Tier Evidence Classification Taxonomy

Level 1: Official Documentation• Platform or Regulatory Spec
Platform or Regulatory Spec

Verified platform developer specifications, RFC standards, or government regulatory guidance (e.g., FCC, FTC, W3C).

Level 2: Primary Data• First-Party Data & Experiments
First-Party Data & Experiments

Verified telemetry, production split-tests, internal transaction logs, or audited datasets.

Level 3: Independent Research• Peer-Reviewed / Reputable Report
Peer-Reviewed / Reputable Report

Peer-reviewed studies or reports from recognized research institutes (e.g., Harvard Business Review, McKinsey, Bain, Stanford).

Level 4: Expert Synthesis• Multi-Source Analysis
Multi-Source Analysis

Structured editorial interpretation synthesizing multiple credible industry reports and technical findings.

Level 5: Practical Framework• Operational SOP
Operational SOP

A battle-tested operational workflow or checklist designed for utility, not presented as scientific proof.

Level 6: Hypothetical Example• Illustrative Scenario
Illustrative Scenario

A simulated scenario or illustrative walkthrough created for educational clarity, not actual client data.

Rules for Evidence Inclusion

  • •Zero Fabricated Data: Never cite an unverified statistic. If an industry statistic lacks an identifiable original research publisher, it is excluded or classified as an editorial estimate.
  • •Primary Source Preference: Always link to the original academic paper, regulatory docket, or platform developer documentation rather than secondary marketing blogs.
  • •Recency & Review Dates: Technical standards (RFCs, DNS rules, A2P 10DLC specifications) must be reviewed annually to reflect changes in carrier and browser policies.