Two Independent Sources Verification Rule Checker

Audit source-level corroboration with actual distinct records and caller dependency provenance, so copies of one origin count once; differs from scalar corroboration counts and multi-claim canvass, no automated claim truth or guarantee of independence.

Description

Independent corroboration counts distinct provenance groups rather than repeated copies of one origin.

Independent corroboration counts distinct provenance groups rather than repeated copies of one origin. Source records and group identity serve different roles.^[1]

Enter aligned nonempty unique source IDs, nonblank dependency-group IDs, binary support and integer minimum 1–128. Return supporting groups in first occurrence order, source count, group count and inclusive gate.

When to use Two Independent Sources Verification Rule Checker

Use Two Independent Sources Verification Rule Checker when you need to evaluate the supplied records under the calculation and evidence rules below. Dependency identities are caller evidence. No truth, independence guarantee or universal two-source rule is inferred.

Prepare the actual editorial, source, layout, timing or audience records requested. Supply explicit house-policy limits and preserve missing evidence.

How to use Two Independent Sources Verification Rule Checker and understand its results

Prepare the actual editorial, source, layout, timing or audience records requested. Supply explicit house-policy limits and preserve missing evidence.
Enter sourceIds, callerDependencyGroupIds, observedCorroborationFlags, callerRequiredIndependentCount using the field table and calculation rules, then run the tool.
Read distinctSupportingDependencyGroupIds, observedSupportingSourceCount, independentGroupCount, meetsCallerIndependencePolicy. The explanation below defines the units, signs, ordering and any flags or placeholder values.
If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.

Input field	Meaning	Value type; see rules below	Requirement
sourceIds	Source ids	list of string	Required
callerDependencyGroupIds	Caller dependency group ids	list of string	Required
observedCorroborationFlags	Observed corroboration flags	list of number	Required
callerRequiredIndependentCount	Caller required independent count	number	Required

independentCount=size(unique supporting dependency groups)

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output field	Meaning	Value type
distinctSupportingDependencyGroupIds	Distinct supporting dependency group ids	list of string
observedSupportingSourceCount	Observed supporting source count	number
independentGroupCount	Independent group count	number
meetsCallerIndependencePolicy	Meets caller independence policy	boolean

json

{
  "input": {
    "sourceIds": [
      "a",
      "b",
      "c"
    ],
    "callerDependencyGroupIds": [
      "wire",
      "wire",
      "own"
    ],
    "observedCorroborationFlags": [
      1,
      1,
      0
    ],
    "callerRequiredIndependentCount": 2
  },
  "output": {
    "distinctSupportingDependencyGroupIds": [
      "wire"
    ],
    "observedSupportingSourceCount": 2,
    "independentGroupCount": 1,
    "meetsCallerIndependencePolicy": false
  }
}

Limitations and assumptions

Dependency identities are caller evidence. No truth, independence guarantee or universal two-source rule is inferred.

Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Numeric lists are limited to 10,000 entries; string lists to 128 strings of at most 128 characters each. The rules above may impose smaller limits. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors. A successfully returned false flag is an evaluated outcome; its meaning is explained above.

Alternative or Complementary methods

Use Rule of Three Sources Stat Canvass Lookup: A claim-by-source matrix makes corroboration coverage visible. Multiple sources in one dependency group count once for each claim. For a complementary task, use Source Diversity Gender Outlet Percent Tracker: Diversity tallies depend on explicitly reported categories. Shares among known evidence differ from shares among all sources.

References

Two Independent Sources Verification Rule Checker — tool.io

Similar or alternative tools

Rule of Three Sources Stat Canvass Lookup
A claim-by-source matrix makes corroboration coverage visible. Multiple sources in one dependency group count once for each claim.
Source Diversity Gender Outlet Percent Tracker
Diversity tallies depend on explicitly reported categories. Shares among known evidence differ from shares among all sources.