Wonder, with a clear account.

The work can be expressive while staying clear about what it represents.

Three starting points

• Generative studies begin with equations and visual rules. Their descriptions explain the idea being explored.
• Simulations begin with chosen assumptions and synthetic data. Those assumptions belong with the work.
• Research pieces begin with observations and sources. Their numbers, methods, and limits remain available to inspect.

Light, color, and camera motion may be expressive choices. When they encode data, the piece explains how. Prerendered loops are presented as films.

Evidence classes in the research

• CONFIRMED

  Measured directly and checked: for example, quotes verified against the download ledger by hash.

• ESTIMATED

  Produced by a model or a stated assumption. Useful, but only as good as the assumption.

• MISSING

  Not available, or not tested. We say so on screen instead of filling the gap.

How research pieces are checked

• Every number traces to data. Scene text can’t contain a typed number. Numbers come from checked claims, and a checker refuses the video if any don’t match.
• Gaps stay gaps. Missing or unusable observations are left out and counted, never smoothed over.
• No untested causes. If we haven’t tested why something happened, the video can show that it happened, not why.
• Choices are fixed in advance. Which day, window or market to feature is decided by a rule written before looking at the results.
• After-the-fact analysis is labelled. Diagnostics that weren’t pre-registered say so on screen.
• Failures are published too. A strategy that fails out of sample is a result.

Scope

The market research uses historical data and simulations for educational exploration. It is not a trading record or investment advice.