Scenario Condition Card¶
Forecasting artifact — instantiates Conditioned Probability Frame Specification
One card per named scenario that fixes the full assumption set a forecast is conditioned on, so a scenario-conditioned probability can never be read as unconditional.
A forecast that says "there's a 30% chance" is dangerous when it's silently conditional on a scenario — assume the base case, and the 30% means one thing; assume a downturn, and it means another. Scenario Condition Card is the forecasting artifact that pins the assumption set to the number. Each card names one scenario and registers the full bundle of what-ifs it holds fixed — the macro assumptions, the policy path, the exogenous inputs — so any probability quoted "under Scenario B" carries Scenario B with it. Its defining move is that it manages a register of discrete, named, mutually-exclusive scenarios, each a coherent world of assumptions, rather than a single "given that" or a shrinking denominator. The probability is conditional on which card you're standing on.
Example¶
A company's finance team forecasts next year's free cash flow and reports "we have a 25% chance of breaching our debt covenant." Read naked, that terrifies the board. The Scenario Condition Card system reframes it. There are three cards: Base (GDP +2%, rates flat, no major customer loss), Downturn (GDP −1%, rates +150bp, one top-five customer churns), and Upside (GDP +4%, new contract lands). The 25% breach probability lives only on the Downturn card; on the Base card it's 3%, on Upside effectively nil. Each card lists its assumption bundle and, crucially, its boundary: "valid for FY26 planning only; do not blend across cards — a probability-weighted average requires separately assigned scenario likelihoods."
The value is that the scary 25% is now legibly a conditional-on-Downturn number, not a headline. The board's conversation shifts from "are we about to breach?" to "how likely is the Downturn scenario, and what would we do on that card?"
How it works¶
- Register the scenarios. Enumerate a small set of named, mutually distinct scenarios, each a self-consistent bundle of assumptions.
- Fix each card's assumption set. On every card, list the exact conditions held fixed — the "given that this whole world holds" clause for that forecast.
- Bound the card. State what the card excludes and the horizon or use it's valid for, so a scenario number isn't dragged into a different context.
- Forbid silent blending. Numbers on different cards are conditional on different worlds; combining them requires explicit scenario weights, not averaging.
Tuning parameters¶
- Number of scenarios — two or three legible cards versus a fine-grained ensemble. Few cards are communicable but coarse; many capture nuance but dilute attention and invite spurious precision.
- Assumption breadth per card — a couple of headline drivers versus a full assumption ledger. Breadth makes the card auditable but heavy.
- Scenario spacing — how far apart the cards are set (mild vs. severe downturn). Wider spacing brackets the risk; narrow spacing resolves the middle but can miss tails.
- Weighting stance — leaving scenarios unweighted (purely conditional) versus attaching probabilities to the scenarios themselves. Weights enable an expected value but smuggle in a second, often shakier, layer of estimation.
When it helps, and when it misleads¶
Its strength is conditioning on an entire assumed world rather than a single variable — exactly what long-horizon forecasting needs, where the number only means something relative to a coherent set of premises. It is a working instance of scenario planning, the discipline of reasoning across a few structured, contrasting futures rather than one point forecast.[1]
Its failure mode is that a scenario-conditioned number gets quoted without its card and instantly becomes a false unconditional — the "25%" escaping to the boardroom shorn of "under Downturn." A subtler misuse is blending across cards: averaging the base and downturn probabilities as if they shared a frame, which they never do without explicit scenario weights. The guarding discipline is to never let a probability travel without its card's name attached, to forbid cross-card arithmetic unless scenario likelihoods are stated, and to keep the card set small enough that each remains a real, defended set of assumptions rather than decorative.
How it implements the components¶
scenario_condition_register— the card set is this component: the managed register of named, mutually-exclusive scenario conditions.conditioning_context_statement— each card states the "given this whole world" clause its forecast is conditioned on.assumption_boundary— every card lists the assumptions it holds fixed and excludes.reuse_boundary— each card bounds the horizon and use its number is valid for, and forbids silent blending.
It does NOT implement renormalization_rule or denominator_population — computing the numbers under a set of assumptions is the probability tree's and two-by-two probability table's work; the card fixes the assumptions, it does not do the arithmetic. Nor does it order sequential conditions via condition_order_record — its scenarios are parallel worlds, not stages, which is the probability tree's domain.
Related¶
- Instantiates: Conditioned Probability Frame Specification — this is the archetype's form for scenario-conditioned forecasts.
- Sibling mechanisms: Conditional Probability Annotation · Frame Compatibility Review · Given-That Clause · Likelihood-Ratio Frame · Probability Tree · Reference Population Note · Stratified Rate Table · Two-by-Two Probability Table
Editorial Notes¶
Form Classification¶
Form family: Representation, Specification & Plan
Rationale: Scenario Condition Card operates as a static representation, map, specification, schema, or prospective plan that externalizes information because it one card per named scenario that fixes the full assumption set a forecast is conditioned on, so a scenario-conditioned probability can never be read as unconditional.
Independent corroboration: The frozen evidence defines Scenario Condition Card as 'One card per named scenario that fixes the full assumption set a forecast is conditioned on, so a scenario-conditioned probability can never be read as unconditional', so its operative form is Representation, Specification & Plan.
Review outcome: Independent reviewer agreement; high confidence.
Origin Attribution¶
Primary origin: Futurism & Strategic Foresight
Origin pattern: Cross-disciplinary synthesis
Present-day reach: Multi-domain
Rationale: Explicit assumption packages for named futures are a strategic-foresight artifact.
Related originating lineages:
- Organizational & Management Science — Organizational design, management, and operational governance supplies a parallel or contributing lineage for the mechanism's defining operation: one card per named scenario that fixes the full assumption set a forecast is conditioned on, so a scenario-conditioned probability can never be read as unconditional.
- Statistics & Experimental Design — Statistics, experimental design, and measurement theory supplies a parallel or contributing lineage for the mechanism's defining operation: one card per named scenario that fixes the full assumption set a forecast is conditioned on, so a scenario-conditioned probability can never be read as unconditional.
Review resolution: Both blind reviewers agree that futurism_foresight is the primary historical origin. Explicit reconciliation of alternate_origin_disagreement, origin_mode_disagreement, encyclopedia_synthesis_disagreement starts from reviewer_a's mechanism-specific evidence: Explicit assumption packages for named futures are a strategic-foresight artifact. Reviewer A proposed alternates=statistics_experimental_design, origin_mode=cross_disciplinary_synthesis, domain_reach=multi_domain, and encyclopedia_synthesis=true; reviewer B proposed alternates=organizational_management, statistics_experimental_design, origin_mode=single_lineage, domain_reach=multi_domain, and encyclopedia_synthesis=false. The final record retains every independently supported alternate from either review (statistics_experimental_design, organizational_management) without an arbitrary cap, selects origin_mode=cross_disciplinary_synthesis to represent the combined lineage evidence, and records domain_reach=multi_domain and encyclopedia_synthesis=true. Present-day transfer is recorded as reach and is not treated as proof of historical origin.
Encyclopedia synthesis: The exact catalogued form synthesizes established practice rather than reproducing a single standard historical label.
Review outcome: Reconciled after independent review; medium confidence.
References¶
[1] Schoemaker, P. J. H. "Scenario Planning: A Tool for Strategic Thinking". Sloan Management Review 36(2), 25–40 (1995). Presents scenario planning as constructing a series of contrasting possible futures instead of relying on a single forecast. registry ↩