CODE: A Compact Method for Clear, Checkable Judgments
CODE stands for Clarify → Organize → Discover → Evaluate. It’s a four-step workflow used on ObviousStuff.com to turn messy claims into transparent, revisitable conclusions. CODE doesn’t tell you what to think; it constrains how you think—so readers can see the steps, retrace them, and update the verdict as new evidence arrives.
Quick Sheet (when to use CODE)
- Scope: Fact checks, article reviews, policy debates, product or program evaluations, decision memos.
- Inputs: The claim(s), definitions, a decision standard, and candidate sources.
- Outputs: A claims/evidence table, targeted research to-dos, a brief scored verdict, and the single best next datapoint to collect.
- Timebox: 15–60 minutes for most topics. Scale depth to stakes.
1) Clarify
What you do
- State the claim in plain language; split it into testable sub-claims.
- Define terms that can drift (“effective,” “significant,” “universal,” “costly”).
- List knowns vs. unknowns and any hidden assumptions.
- Set the decision standard (e.g., preponderance of evidence, cost/benefit threshold).
Common traps
- Debating vibes instead of a checkable statement.
- Using contested terms without pinning definitions.
- Skipping the “what would change my mind?” statement.
2) Organize
Lay claims and counterclaims side-by-side with sources, methods, and constraints. Keep notes terse; prefer primary sources.
| Claim or Counterclaim | Evidence / Notes (source, method, constraints) |
|---|---|
| Claim: Policy X improves Outcome Y. | Comparative trend data across jurisdictions; effect persists after adjusting for Z; sample large enough to detect Δ=… |
| Claim: Policy X is cost-effective. | Cost per unit of Y vs. alternatives; sensitivity on uptake/compliance; distributional impacts tracked. |
| Counterclaim: Confounders drive the result. | Concurrent reform Q overlaps; robustness checks (RDD/IV/DiD) attenuate or null effect in subgroups. |
| Counterclaim: Harms outweigh benefits. | Spillovers on Group R; operational friction; substitution effects; tail-risk scenarios considered. |
3) Discover
Targeted next checks
- Pull the top three primary sources that could swing the verdict.
- Triangulate with a different method or dataset.
- Stress-test assumptions with sensitivity or falsification checks.
Turn gaps into tasks
- “Outcome durability beyond 24 months” → fetch longitudinal follow-ups.
- “External validity to rural districts” → replicate with matched controls.
4) Evaluate
Keep it short and accountable. Three micro-scores and one sentence of rationale are usually enough.
| Dimension | Scale | What it means |
|---|---|---|
| Evidence Quality | Low / Medium / High | Primary sources? Fit-for-purpose methods? Replicable and consistent? |
| Reasoning Soundness | Weak / Mixed / Strong | Do conclusions follow? Are counterarguments addressed fairly? |
| Overall Verdict | Unsupported / Uncertain / Tentative / Supported | Map to your decision standard from Clarify. |
Actionable next step: State one concrete move: adopt, pilot, pause, or research—plus the single best next datapoint to acquire.
Worked Example (Illustrative)
Topic: “Should the U.S. adopt universal healthcare coverage?” (Example only; sources omitted here.)
C — Clarify
- Claim: “Adopting universal coverage (everyone enrolled in at least a basic plan) would improve health outcomes and be cost-effective within 10 years.”
- Definitions: “Universal coverage” = coverage rate ≥ 99% with defined essential benefits; “cost-effective” = net QALY gains at or below $X per QALY vs. status quo.
- Knowns/Unknowns: Known comparative outcomes in peer nations; unknown transition costs and provider capacity impacts.
- Decision standard: Tentative adoption if evidence quality ≥ Medium and incremental cost/QALY ≤ $X with no severe equity regressions.
O — Organize
| Claim / Counterclaim | Evidence / Notes |
|---|---|
| Universal coverage improves outcomes. | Cross-country mortality/amenable mortality comparisons; risk-adjusted; cohort studies on preventive uptake. |
| Universal coverage is cost-effective. | System-level admin overhead vs. multi-payer; bulk purchasing; downstream savings from earlier treatment. |
| Counter: Access bottlenecks worsen. | Queue time studies; mitigation via capacity expansion and payment reforms; heterogeneous effects by region. |
| Counter: Fiscal risk too high. | 10-yr budget windows; tax base elasticity; sensitivity to utilization spikes; reinsurance design. |
D — Discover
- Pull most recent actuarial 10-yr projections with capacity constraints modeled.
- Cross-check with two designs (single-payer vs. regulated multi-payer) using the same demand assumptions.
- Audit transition risks (provider exit, claims backlogs) and credible mitigation levers.
E — Evaluate (format)
Evidence quality: Medium/High — mix of cross-national and quasi-experimental datasets; capacity modeling still uncertain.
Reasoning soundness: Mixed/Strong — benefits plausible; hinges on execution risks and regional capacity.
Overall verdict: Tentative — Pilot in 3–5 states with federal waivers; gate national rollout on capacity + fiscal guardrails.
Next step: Commission dual-track projections with explicit capacity ramp schedules and publish all model code.
How CODE Fits With the Rest of ObviousStuff
- ATLAS Spheres: CODE is the technical spine (evidence & reasoning). ATLAS adds values, culture, and change-management layers.
- Book Ends: Use CODE to build fair “Pro/Con” tiles with sources and constraints visible.
- Versioning: Re-run CODE when a major study drops; update the table and revise the verdict transparently.
Quick Start
- Create a new post with the CODE template.
- Paste the claim; write one sentence on your decision standard.
- Fill 3–6 rows in the Organize table with sources you actually checked.
- List 3 “Discover” tasks that could change the verdict.
- Publish a one-line “Evaluate” verdict and the single most valuable next datapoint.
Prompts & Checklists
- Clarify → “Rewrite the claim so a neutral auditor could test it. What terms must be defined?”
- Organize → “What is the best counter-argument and its strongest source?”
- Discover → “What 3 facts, if true, would flip the verdict?”
- Evaluate → “What is the minimally sufficient action until uncertainty narrows?”