Known Knowns Rumsfeld Certainty Quadrant
Count caller-coded statements across the four known-knowns and known-unknowns certainty quadrants.
Description
A certainty quadrant reflects how a statement has been coded with respect to knowledge and awareness.
A certainty quadrant reflects how a statement has been coded with respect to knowledge and awareness. The tool counts supplied labels rather than discovering unknowns.1
The returned values include Dominant quadrant, Quadrant counts, Statement count. The How section below explains the calculation, input rules and interpretation.
When to use Known Knowns Rumsfeld Certainty Quadrant
Use Known Knowns Rumsfeld Certainty Quadrant when you need to evaluate the supplied records under the calculation and evidence rules below. No statement text or correctness of classifications is examined.
Define the question, evidence and scenario assumptions first. Supply the chosen score scales, time horizons or reference selection explicitly. Interpret generated text as a discussion template and screen labels as the stated rules.
How to use Known Knowns Rumsfeld Certainty Quadrant and understand its results
- Define the question, evidence and scenario assumptions first. Supply the chosen score scales, time horizons or reference selection explicitly. Interpret generated text as a discussion template and screen labels as the stated rules.
- Enter statementClassifications using the field table and calculation rules, then run the tool.
- Read dominantQuadrant, quadrantCounts, totalStatementCount. 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 |
|---|---|---|---|
| statementClassifications | One knownKnowns, knownUnknowns, unknownKnowns, or unknownUnknowns label per statement. | list of string | Required |
Trim and case-normalize a nonempty classification list to the four supported labels. Return canonical-order counts, total and first maximum on ties.
counts=[knownKnowns,knownUnknowns,unknownKnowns,unknownUnknowns] Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| dominantQuadrant | Dominant quadrant | string; one of "knownKnowns", "knownUnknowns", "unknownKnowns", "unknownUnknowns" |
| quadrantCounts | Quadrant counts | list of number |
| totalStatementCount | Statement count | integer; minimum: 1 |
{
"input": {
"statementClassifications": [
"knownKnowns",
"knownUnknowns",
"knownKnowns",
"unknownKnowns"
]
},
"output": {
"dominantQuadrant": "knownKnowns",
"quadrantCounts": [
2,
1,
1,
0
],
"totalStatementCount": 4
}
}Limitations and assumptions
No statement text or correctness of classifications is examined.
Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Core numeric and string lists are limited to 100,000 entries; text entries are subject to the general large-text limit. Follow any smaller calculation limits above. Missing fields without a declared default, extra fields, wrong value types and violations of the calculation rules are input errors.
Alternative or Complementary methods
Use Utopian Dystopian Tech Framing Bias Checker: One-sided technology framing can omit desirable or harmful possibilities. Caller-coded evidence frames permit a transparent count. For a complementary task, use Systems Iceberg Events Patterns Structures Models Lookup: The systems iceberg organizes events, recurring patterns, structures and mental models. Each deeper explanation needs supporting evidence.
References
-
Known Knowns Rumsfeld Certainty Quadrant — tool.io
Similar or alternative tools
- Utopian Dystopian Tech Framing Bias Checker
One-sided technology framing can omit desirable or harmful possibilities. Caller-coded evidence frames permit a transparent count.
- Systems Iceberg Events Patterns Structures Models Lookup
The systems iceberg organizes events, recurring patterns, structures and mental models. Each deeper explanation needs supporting evidence.