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Foresight and decision-making under uncertainty

Research samples

One question, worked three ways.

Scenario discovery, a House vs Market comparison, a release replay, a synthetic signal and a Minority Report, all on one constructed question.

Sample · October 2026 · Fictional economy A · Assumed cutoff 14 October 2026, 16:00 UTC · first release 15 October 2026, 09:00 UTC

Scenario discovery · Sample question

Will September headline inflation in fictional economy A be at least 3.3% year on year, on the first release?

The release is one observable event. The investment question is broader: does price pressure persist, how might policy respond, and which sector or issuer assumptions would change?

Mechanisms worth investigating

  • Services and wage persistence could delay a change in policy.
  • An import shock could reverse while domestic demand weakens.
  • Companies could adapt prices, sourcing or financing, changing the earnings effect.

What the research packet retains

  • The target, horizon, information cutoff and resolution rule.
  • Evidence for and against each mechanism, with assumptions and gaps.
  • House and comparable market views, dissent, signposts and revisions.

Release surprises

Separate the expected print, the surprise and the interpretation.

Frozen survey consensus
3.0%
Frozen House median
3.2%
Assumed first print
3.4%
Headline inflation · Year-on-year rate · Percentage points
ComparisonSurprise
First print minus survey consensus+0.4 pp
First print minus House median+0.2 pp

The pre-release values are assumed to be frozen at the sample cutoff; the first print comes later. The sample was constructed retrospectively. It demonstrates definitions and arithmetic, not forecasting skill or a profitable arbitrage.

Before

Define the target and freeze the comparator vintages. Preserve misses as well as successful forecasts.

At the release

Record the agreed first print and observation time. Keep percentage-point surprise distinct from percentage change.

After

Inspect the composition, explain any revision and revisit the issuer or sector mechanism. Score the original target when genuine observations exist.

Synthetic signals

A signal with a method you can inspect.

Does the signal add information beyond a simpler baseline? Does its composition support the scenario mechanism? Agree the comparison and evaluate its contribution before widening coverage.

Index level · Reference 100
108

A composite of assumed standardised cost, demand and supply-friction inputs. It is not an inflation-rate forecast or an investable benchmark.

Six assumed observations · No performance record

Inspect signal inputs, formula and history
Assumed inputs at the sample cutoff
ComponentStandardised scoreWeight
Cost pressure0.650%
Demand0.830%
Supply friction1.320%

Method: 100 + 10 × (0.50 × 0.6 + 0.30 × 0.8 + 0.20 × 1.3) = 108. Input scores and weights are assumed; no fitted or validated predictive model stands behind this sample.

Illustrative history · Oldest to latest
Observation 1Observation 2Observation 3Observation 4Observation 5Observation 6
100104103109112108

For a live series, agree source rights, normalisation windows, uncertainty or sensitivity, update frequency and revision rules. Test a policy for withholding a value when critical inputs are missing; do not silently treat stale inputs as current.

House vs Market

Know where the views differ. Understand why.

A useful disagreement starts with the same proposition, horizon, resolution rule and information cutoff. Then examine the evidence and what each comparison actually means.

House analytical probability
44%
Market contract-implied view
30%
Difference to investigate
+14 pp

The difference is not a return, a recommendation or evidence of an exploitable pricing error.

Inspect the comparison basis and market dependence
Target and resolution
September headline inflation, year-on-year percentage change, first published value. The event resolves yes at 3.3% or above. Later revisions do not change this sample resolution rule.
The market convention
An assumed binary contract pays 1 on yes and 0 on no. Price 0.30 is displayed as 30% under a simplified no-fee, no-discount convention. Liquidity, spread, risk preferences and settlement terms can affect price; this is not an objective event probability.
Shared information
The assumed House assessment uses the 3.0% survey consensus as an input. It does not use the binary contract price. This is a declared design assumption, not evidence that the two views are independent.
Freshness and rights
Both comparators use the same assumed cutoff. No live prediction market, survey feed, source licence or liquidity observation is supplied in this sample. A real comparison must disclose those fields or withhold the comparison.

The House mechanism to test

Persistent services and wage pressure could keep headline inflation elevated. Check whether the relevant components support persistence, and whether the assumed policy and issuer responses follow.

A credible alternative

A temporary import-cost shock could lift the headline while underlying demand weakens. The same print could then support a different medium-term interpretation.

A prediction-market contract, a survey median and an asset price are different comparators. An asset price needs an explicit transmission and pricing model before it can be treated as an event probability.

Minority Reports

What if the inflation surprise is temporary?

The House mechanism emphasises persistent price pressure. The alternative is that import costs drive the overshoot while domestic demand weakens—so a strong headline need not imply sustained restrictive policy.

The premise being challenged

That a stronger headline signals broad persistence, and that policy and company earnings must respond in the assumed direction.

Evidence that would support the alternative

A narrow import-driven contribution, easing services or wage pressure, and weakening demand. These are evidence requirements, not observations supplied by the sample.

What would weaken this countercase

Broadening services pressure, persistent wages or resilient demand would challenge the temporary-shock explanation. Retain those observations rather than only evidence favourable to dissent.

The research with value now

Obtain the release decomposition and test the policy-response assumption. Then examine financing terms, pricing power and other issuer buffers before inferring an earnings effect.

Analytical status matters

This sample is a structured counterargument. No alternative Model has been run or independently scored, and no probability is assigned to the countercase. A separately assessed alternative would need its own assumptions, evidence, version and evaluation.

Talk to us

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