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SuperQuant feature tutorial · fixed teaching example

Disproof Desk

Challenge an assumption that may be carrying a historical result.

Before you begin: Requires a result and its exact rules/sample. A same-sample challenge is sensitivity analysis.

How to use it

  1. Open the chosen run in Workbench and inspect its assumptions.
  2. Find the Disproof or sensitivity controls for that result.
  3. Deliberately change one supported assumption, such as costs, and run the challenge.
  4. Compare baseline and challenge on matching lineage; record the weakened claim.

Worked example and expected outcome

Teaching case: increasing modeled costs removes the baseline’s positive result.

Disproof Desk: worked example and outcomeTeaching case: increasing modeled costs removes the baseline’s positive result.. Did only the intended assumption change, and was the sample held fixed?. A documented dependence on execution assumptions.Worked exampleTeaching case: increasing modeled costs removesthe baseline’s positive result.Check your understandingDid only the intended assumption change, and wasthe sample held fixed?Expected outcomeA documented dependence on executionassumptions.

This is a fixed teaching example, not a current quote, personal account result or trade recommendation.

Check your understanding

Did only the intended assumption change, and was the sample held fixed?

If it does not work

If a result is missing or stale, create a matching baseline first; do not compare unrelated runs.

Try it in SuperQuant

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