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Do not accept a plausible-sounding connection as a finding until you have tried to disprove it. Turn the agent’s conclusion into a testable claim, trace each piece of evidence to its origin, check whether apparent corroboration is genuinely independent, and compare the claim with plausible alternatives. The result may support the connection, weaken it, or leave it unresolved.
What does “connected” mean in this claim?
Start by defining the relationship the agent alleges. “These accounts are connected” could mean they share an operator, communicate with each other, use the same infrastructure, or merely have some information in common. Those are different claims and require different evidence.
Make the claim bounded: name the entities, specify the proposed relationship, and set the relevant timeframe. For example: “Account A and Account B were controlled by the same operator during period X.” A useful hypothesis is one that evidence could contradict, not one that treats every possible observation as support. The UK Professional Head of Intelligence Assessment’s Common Analytical Standards call for judgments to be empirically testable and tied to a timeframe.
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Decide in advance what would count against it
Before collecting more material that appears to confirm the agent’s theory, write down observations that would be surprising if it were true. This guards against quietly moving the goalposts when evidence does not fit.
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- Timing that conflicts with the proposed sequence of events.
- Independent records indicating separate ownership or control.
- A shared identifier that turns out to be common, public, or recycled.
- A plausible alternative explanation that accounts for the same observations.
These are prompts to investigate, not claims about any particular case. UK analytical standards advise analysts to consider what information or events could contradict a hypothesis and to reconsider judgments in light of new information.
Trace every claim back to its evidence
Break the agent’s argument into individual propositions. For each one, record the supporting item, its original publisher or creator, the date, how it was obtained, and the inference the agent draws from it. Note whether the item is primary material, secondary reporting, or a repost when that is known.
| Ledger field | What to record |
|---|---|
| Proposition | The specific statement the evidence is supposed to support. |
| Evidence and origin | The item itself and its earliest identifiable source—not just the page where you found it. |
| Date and timeframe | When the item was created or published, and whether that fits the period in the claim. |
| Evidence type | Primary material, secondary reporting, or repost, if established. |
| Inference and limits | What the item supports, what it does not establish, and any relevant uncertainty. |
Reposts can create the appearance of corroboration without adding independent evidence. A news article quoting a social post and the post it quotes are not two independent confirmations. Reconstruct the chain and group items that share an origin. The OWASP OSINT Verification Standard (OOVS) v0.1.0, released on 2026-08-05, describes checking evidence origins so multiple mentions are not mistaken for multiple sources. Bellingcat’s online investigation toolkit also discusses distinguishing primary-source media from reposts.
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A source’s general reputation does not establish that a particular item is authentic, complete, or relevant to this claim. Assess each source and method in context: Did the source have direct access? Can the material be checked for authenticity and completeness? Is the method transparent enough for another researcher to repeat? Is the material current for the timeframe at issue?
Keep observed information separate from assumptions and judgments. The U.S. Office of the Director of National Intelligence’s Intelligence Community Directive 203 calls for assessing the quality and credibility of sources, data, and methodologies, and for distinguishing underlying information from assumptions and analytic judgments. OOVS v0.1.0 likewise cautions against letting source reliability substitute for assessing the specific claim. It is a developing verification baseline, not a universal legal or professional requirement.
Test the strongest alternative explanations
Ask what else could produce the same observations. Depending on the case, candidates might include coincidence, shared public infrastructure, an intermediary, common ownership unrelated to the alleged activity, or an inaccurate source. These are hypotheses to test, not conclusions.
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Compare what each explanation predicts and look for evidence that would distinguish them. If two explanations fit the material equally well, the evidence has not yet established which one is correct. UK analytical standards recommend systematic evaluation of differing hypotheses, especially when uncertainty or complexity is significant, and recording the analysis in a discoverable audit trail.
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- Origin independence: Do apparent confirmations come from separate origins?
- Authenticity and completeness: Can you verify the item and check whether important context is missing?
- Time fit: Does the evidence relate to the period in the claim?
- Explanatory fit: Does the evidence favor this hypothesis over the alternatives?
- Counterevidence and uncertainty: What conflicts with the claim, and what remains unknown?
These are comparison questions, not a validated numerical score. Avoid turning them into a mechanical rating that suggests more precision than the evidence supports.
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Make the review reproducible
Preserve enough of the work for another researcher to understand how you reached the conclusion. Keep the searches and queries used, source links, dates and timestamps, relevant captures where appropriate, the evidence chain, assumptions, alternative explanations, and notes on how the assessment changed. Record gaps as well as findings.
Where practical, ask another researcher to inspect the claim and sources without telling them which conclusion you prefer. Independent review can reveal overlooked context or assumptions. OOVS v0.1.0 calls for an analytic record, independent-review notes, and reproducibility; Bellingcat describes fact-checking and review by fellow researchers in its editorial standards and practices. Its standards say anonymous-source information should serve only as an intelligence lead unless validated by objective, open-source, or reproducible methods that allow independent checking.
State the conclusion at the strength the evidence supports
Separate what the evidence directly shows from what you infer. Identify material gaps, describe remaining uncertainty, and say what further evidence could change the assessment. A connection may be plausible without being demonstrated; if the available evidence cannot distinguish it from an alternative, say so rather than presenting the agent’s narrative as established fact.
ODNI’s analytic standards call for expressing uncertainty and incorporating alternatives, while UK standards distinguish information from assumptions and judgments. Neither set of guidance proves or disproves an unspecified connection: the conclusion must follow from the evidence in the case.
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