Counterfactual Value-Delta Table¶
Comparison artifact — instantiates Counterfactual Proximity Signal Calibration
Pairs each plausible nearby alternative with the signed value difference from what actually happened, so magnitude and polarity are explicit rather than assumed.
A Counterfactual Value-Delta Table is a small ledger with one row per plausible nearby alternative and one column that matters most: the signed value difference between that alternative and what actually happened. Its defining concern is not how close the alternative was but how much it was worth and in which direction — better (an upward miss) or worse (a bullet dodged), measured in a stated value frame. It exists because proximity alone misleads: a hair's-breadth miss on a trivial prize should not outrank a comfortable margin away from catastrophe. The table forces the "how much, and for whom" question to be answered explicitly, row by row, before any signal is built on top of it.
Example¶
A procurement team ran a competitive bid and awarded a two-year logistics contract to Vendor A. Afterward they build a Counterfactual Value-Delta Table to understand what the decision was really worth. Each plausible alternative that survived screening gets a row. Award to Vendor B instead: delta = −$180k over the term but +6 days average delivery reliability — worse on cost, better on service, net negative in the team's weighting. Award to Vendor C: delta = +$40k and comparable service — a modestly better outcome that was genuinely on the table. Re-run the bid: delta ≈ −$25k in process cost with uncertain benefit. Laid out this way, the table shows that the decision's real stakes were small and mostly favorable — the "we almost picked C and lost $40k" story is a minor upward miss, not the near-disaster it felt like. The value frame (total cost plus a weighted reliability score) is stated at the top so every delta means the same thing.
How it works¶
The table is built by enumeration and pricing. Each admitted alternative becomes a named valued contrast — a specific other-state, not a mood — and then each is assigned a value delta: the difference from the actual outcome, with an explicit sign and an explicit value frame (whose interests, in what units). Deltas are recorded as magnitudes with polarity, not collapsed into a single "regret" scalar, so an upward miss and a downward escape stay distinguishable. The artifact deliberately stops there: it prices alternatives, it does not measure their nearness and it does not decide what to do about them. It is the value substrate other mechanisms multiply against proximity.
Tuning parameters¶
- Value frame — the units and whose interests define "better/worse" (dollars, lives, reliability points, a weighted blend). The single most consequential choice; it re-prices every row.
- Sign convention — whether upward misses (almost-better) and downward escapes (almost-worse) are tracked separately or netted. Separating them preserves polarity; netting simplifies but hides direction.
- Alternative granularity — how finely alternatives are split. Finer rows catch distinct options but multiply near-duplicates.
- Delta precision — point estimates versus ranges. Ranges keep honest uncertainty visible; points read cleaner but invite false precision.
When it helps, and when it misleads¶
Its strength is refusing to let a vivid alternative smuggle in an unstated magnitude — every "we almost…" must post an actual number and a direction. Its failure mode is the ease of manufacturing rows: the mind generates upward counterfactuals (how it could have been better) far more fluently than downward ones, so a naively filled table over-represents almost-wins and inflates their apparent deltas.[1] A tidy grid can also lend false precision to value differences that are soft or contested. The guarding discipline is to source rows from screened, plausible alternatives rather than free imagination, to state the value frame explicitly so deltas are comparable, and to deliberately seek downward counterfactuals to balance the fluent upward ones.
How it implements the components¶
valued_counterfactual_contrast— each row names a specific plausible alternative state that differs in value from the actual outcome, not merely in description.value_delta_frame— the central column states how much better or worse each alternative would have been and in whose value frame, with explicit sign.
It does NOT implement proximity_metric_or_ordering — measuring how close the actual case came to each alternative is Near-Miss Distance Scorecard's job; this table prices the gap's value, not its distance. Nor does it implement threshold_band_partition, the spatial banding owned by Threshold Band Map.
Related¶
- Instantiates: Counterfactual Proximity Signal Calibration — supplies the value-delta half of the archetype's core signal, which proximity is later weighted against.
- Consumes: Counterfactual Plausibility Filter screens which alternatives are eligible to earn a row.
- Sibling mechanisms: Near-Miss Distance Scorecard · Threshold Band Map · Almost-Reward Annotation · Close-Call Review Protocol · Counterfactual Plausibility Filter · Near-Miss Response Tier · Proximity Signal Backtest · Regret-Weighted Decision Log · Salience Overweighting Check
Editorial Notes¶
Form Classification¶
Form family: Analysis, Modeling & Optimization
Rationale: The method enumerates plausible alternatives and computes signed, interest-scoped value differences from the actual outcome, so its operative form is counterfactual valuation analysis.
Nearest alternative: Representation, Specification & Plan — A table preserves magnitudes and polarity, but pricing each contrast is the defining contribution rather than the display artifact.
Review outcome: Adjudicated after independent review; high confidence.
Origin Attribution¶
Primary origin: Economics & Finance
Origin pattern: Cross-disciplinary synthesis
Present-day reach: Multi-domain
Rationale: Decision and welfare economics cohered signed comparison of realized value with feasible alternatives, including whose value frame defines gain or loss.
Related originating lineages:
- Operations Research — Decision tables supply row-wise alternatives, common units, and explicit signed deltas.
- Psychology — Counterfactual-thinking research explains why upward and downward alternatives differ in fluency and emotional weight.
Review resolution: Explicitly pricing each alternative against the actual outcome in a stated value frame is decision and welfare economics. Operations research supplies the tabular comparison structure and psychology supplies counterfactual generation and polarity effects; the generalized artifact is synthetic.
Encyclopedia synthesis: The exact catalogued form synthesizes established practice rather than reproducing a single standard historical label.
Review outcome: Researched adjudication after independent review; high confidence.
Sources consulted:
References¶
[1] Kahneman & Miller's norm theory (1986) describes how people recruit counterfactual alternatives — some outcomes are far more "mutable" and thus more readily imagined than others. It explains why upward, almost-better alternatives populate a table so much more fluently than downward escapes, and why the fluent ones must be discounted. registry ↩