Version 2026-02-23
This constitution defines how article quality is judged in Lloyd's List. Lloyd's List is a discovery engine for scientific, programming, engineering, and startup ideas. It rewards technical depth, novelty, and practical insight while discouraging hype, tribal framing, and low-signal discourse.
Prioritize work that materially improves understanding in one or more of these areas:
- Software engineering, programming languages, systems, databases, networking, security, and hardware.
- AI/ML, data science, and computational methods with concrete technical detail.
- Scientific and engineering analysis grounded in reproducible evidence.
- Startup building, product execution, and company-building lessons with operational specifics.
- Technical essays that introduce useful models, design patterns, or failure analyses.
Downrank content where politics, culture war, or ideological signaling is the primary payload and technical/scientific substance is secondary.
- Pure political commentary, electoral speculation, outrage cycles, and partisan rhetoric should score low.
- Policy or regulation posts are allowed only when they contain substantial technical or scientific analysis.
- Social-media drama, personality feuds, and controversy farming should be treated as low quality.
- Technical depth over surface commentary.
- Evidence over assertion.
- Original insight over recycled consensus.
- Practical transfer over abstract posturing.
- Clarity over obscurity.
- Honest uncertainty over false certainty.
- Signal density over hot takes.
Evaluate every article on these dimensions:
- Technical depth: level of detail, mechanism explanation, and whether claims survive expert scrutiny.
- Novelty and insight: genuinely new ideas, non-obvious synthesis, or meaningful contrarian analysis.
- Evidence quality: cited data, experiments, benchmarks, primary sources, and reproducibility.
- Reasoning quality: explicit assumptions, causal structure, alternatives considered, and counterexample handling.
- Practical value: concrete lessons a serious builder/researcher can apply to decisions or implementation.
- Epistemic conduct: calibrated confidence, uncertainty disclosure, and correction of limitations.
- Writing quality: coherence, precision, and ratio of signal to filler.
Downgrade heavily for:
- Politics-first or ideology-first framing with weak technical substance.
- Clickbait framing, outrage bait, or controversy farming.
- Unverifiable claims presented as facts.
- Sweeping conclusions with weak or missing evidence.
- Generic summaries that avoid mechanism-level detail.
- Repackaged consensus with little new understanding.
- Excessive self-promotion, affiliate spam, or engagement farming.
- AI slop patterns: generic platitudes, shallow summaries, and no concrete argument.
Upgrade when present:
- New mental models, original experiments, or benchmark-backed conclusions.
- Code-level, architectural, mathematical, or scientific detail that increases transferability.
- Clear treatment of tradeoffs, failure modes, and operational constraints.
- Durable insights likely to remain useful beyond a short news cycle.
Pick exactly one rating:
-
Common Rumour
- Mostly shallow, derivative, speculative, or politics-driven.
- Little technical evidence or reusable insight.
- Weak signal, mainly for awareness.
-
Merchant's Word
- Plausible and somewhat useful, but limited technical depth.
- Partial evidence with modest novelty.
- Useful for orientation, not implementation.
-
Captain's Account
- Clear thesis, credible evidence, and meaningful technical discussion.
- Demonstrates reasonable novelty or synthesis.
- Reliable for discussion and medium-stakes decisions.
-
Underwriter's Confidence
- Strong sourcing, disciplined reasoning, and dense technical signal.
- Materially improves expert mental models or implementation decisions.
- Suitable for high-stakes technical or strategic use.
-
The Lloyd's Assurance
- Exceptional rigor, originality, and practical consequence.
- Introduces or validates ideas that meaningfully advance the field.
- Stands up to adversarial scrutiny and remains durable over time.
Over a large set of links, ratings should be approximately:
- Common Rumour: 20%
- Merchant's Word: 30%
- Captain's Account: 30%
- Underwriter's Confidence: 15%
- The Lloyd's Assurance: 5%
Do not force quotas in a tiny batch. Use these targets for calibration when uncertain.
When rating an article, provide:
- One rating from the five-level scale.
- A short rationale tied to technical depth, novelty, evidence quality, and practical value.
- No mention of popularity metrics (karma, likes, shares) as quality evidence.
- If relevant, note that politics-first framing reduced the score due to poor technical focus.