Connected Systems: Writing That Builds on Itself
“Keep in mind that God’s anger is directed against all the ungodliness and injustice.” (Romans 1:18, CEV)
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When evidence and opinion blur, trust erodes. The reader may not argue with you. They may simply stop believing you. This is one of the quiet failures of modern writing: everything is said with the same tone, so the reader cannot tell what is observation, what is interpretation, and what is recommendation.
The fact-claim separator is a writing discipline that prevents this blur. It helps you label claims by how you write them, and it helps you support each type of claim appropriately. This is not about sounding academic. It is about honesty, clarity, and love for the reader, because clarity prevents manipulation.
This discipline becomes even more important when AI helps draft content, because AI often produces confident-sounding assertions without distinguishing what is known, what is inferred, and what is suggested.
The Four Claim Types
Most writing can be cleaned up by distinguishing these claim types.
- Factual claims: statements about what is, was, or happened
- Definition claims: statements about what a term means in this article
- Interpretive claims: statements about why something happens or what it implies
- Recommendation claims: statements about what the reader should do
When these are mixed without signals, the reader has to guess. Guessing is a tax on attention and trust.
How to Signal Claim Types in Plain Language
You do not need formal labels in the article. You can signal claim type through wording.
Factual claim signals:
- Concrete details, dates, numbers, or directly observable statements
- Clear boundaries that prevent overstatement
Definition claim signals:
- “By X, I mean…”
- “In this article, X refers to…”
Interpretive claim signals:
- “This suggests…”
- “One reason is…”
- “A likely explanation…”
Recommendation claim signals:
- “Try…”
- “A practical approach is…”
- “If you want X, do Y…”
These signals are not weakness. They are honesty.
The Support Rule for Each Claim Type
Different claims require different support.
| Claim type | What it requires | What to avoid |
|---|---|---|
| Factual | Source trail or narrow, verifiable framing | Broad statements with no basis |
| Definition | Consistent use throughout the piece | Multiple definitions for the same term |
| Interpretive | Reasoning and at least one example | Certainty tone without mechanism |
| Recommendation | Tradeoffs and a context where it applies | One-size-fits-all commands |
This table is the separator in practice. It tells you what to do when you write a sentence that tries to act like all four claim types at once.
The “Blur Scan” Pass
After drafting, scan your work for blur sentences. Blur sentences often look like confident generalities.
Examples of blur patterns:
- “AI always makes writing worse.”
- “Good writers do this naturally.”
- “This approach is the best.”
These sentences may be true in a narrow context, but they are usually written too broadly. The blur scan asks you to fix them by applying the support rule.
Repair moves include:
- Narrowing the claim
- Adding a reason and example
- Turning certainty into a bounded likelihood statement
- Converting a “fact tone” into an interpretive tone with reasoning
The Separator Helps You Stay Fair
A common trap is to smuggle opinion as fact by using factual tone for interpretive claims. The separator prevents that.
It also prevents the opposite failure: presenting clear facts as if they were uncertain when they are not. Clarity is not skepticism theater. It is appropriate confidence based on appropriate support.
Using the Separator With AI Drafting
If you are using AI, you can ask it to rewrite a section while preserving claim type clarity.
A helpful constraint is to request:
- Identify factual claims and ensure they are narrow or supported
- Identify interpretive claims and add reasoning or examples
- Identify recommendations and add tradeoffs
- Ensure definitions are consistent
Then you verify and choose what to keep.
AI can help spot blur, but you must decide what is actually true.
A Closing Reminder
Separating fact from interpretation is not cold. It is kind. It prevents the reader from being pushed by tone. It invites the reader to follow your reasoning and decide with clarity.
If you want trust, let your writing show what kind of claim you are making, and support it in the right way. That is how honest writing becomes strong writing.
Keep Exploring Related Writing Systems
Evidence Discipline: Make Claims Verifiable
https://ai-rng.com/evidence-discipline-make-claims-verifiable/AI Fact-Check Workflow: Sources, Citations, and Confidence
https://ai-rng.com/ai-fact-check-workflow-sources-citations-and-confidence/The Source Trail: A Simple System for Tracking Where Every Claim Came From
https://ai-rng.com/the-source-trail-a-simple-system-for-tracking-where-every-claim-came-from/AI Writing Quality Control: A Practical Audit You Can Run Before You Hit Publish
https://ai-rng.com/ai-writing-quality-control-a-practical-audit-you-can-run-before-you-hit-publish/The Proof-of-Use Test: Writing That Serves the Reader
https://ai-rng.com/the-proof-of-use-test-writing-that-serves-the-reader/
Books by Drew Higgins
