Three Horizons Framework Transition Map Lookup

Map item years to three horizons using caller-supplied second- and third-horizon boundary years.

Description

Three horizon labels can organize an entered year series.

Three horizon labels can organize an entered year series. This implementation uses two explicit start boundaries.1

The returned values include Horizon assignments, Horizon counts. The How section below explains the calculation, input rules and interpretation.

When to use Three Horizons Framework Transition Map Lookup

Use Three Horizons Framework Transition Map Lookup when you need to evaluate the supplied records under the calculation and evidence rules below. No transition dynamics or universal calendar horizons are inferred.

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 Three Horizons Framework Transition Map Lookup and understand its results

  1. 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.
  2. Enter itemYears, secondHorizonStart, thirdHorizonStart using the field table and calculation rules, then run the tool.
  3. Read assignments, horizonCounts. The explanation below defines the units, signs, ordering and any flags or placeholder values.
  4. 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 fieldMeaningValue type; see rules belowRequirement
itemYearsItem yearslist of numberRequired
secondHorizonStartSecond-horizon startnumberRequired
thirdHorizonStartThird-horizon startnumberRequired

Require finite boundaries with second<third and finite year list, possibly empty. Equality starts the next horizon. Return item_index labels using zero-based indexes and H1/H2/H3 counts.

H1 if year<secondStart; H2 if year<thirdStart; otherwise H3

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

Output fieldMeaningValue type
assignmentsHorizon assignmentslist of string
horizonCountsHorizon countslist of number
json
{
  "input": {
    "itemYears": [
      2026,
      2031,
      2041
    ],
    "secondHorizonStart": 2030,
    "thirdHorizonStart": 2040
  },
  "output": {
    "assignments": [
      "item_0: H1",
      "item_1: H2",
      "item_2: H3"
    ],
    "horizonCounts": [
      1,
      1,
      1
    ]
  }
}

Limitations and assumptions

No transition dynamics or universal calendar horizons are inferred.

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 Weak Signal Scanning Horizon Classifier: Weak-signal horizons locate anticipated developments relative to explicit near and medium endpoints. Horizon assignment does not establish signal credibility. For a complementary task, use Voros Futures Cone Expansion Rings Lookup: A futures cone distinguishes several labeled possibilities around a central scenario. This tool formats caller-defined rings rather than deriving their plausibility.

References

  1. Three Horizons Framework Transition Map Lookup — tool.io

Similar or alternative tools

  • Weak Signal Scanning Horizon Classifier

    Weak-signal horizons locate anticipated developments relative to explicit near and medium endpoints. Horizon assignment does not establish signal credibility.

  • Voros Futures Cone Expansion Rings Lookup

    A futures cone distinguishes several labeled possibilities around a central scenario. This tool formats caller-defined rings rather than deriving their plausibility.

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