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Visual Archive

The visual archive stores diagrams, screenshots, model states, and explanatory graphics.

Purpose

The visual archive collects reusable images and diagrams that explain the model: archetype snapshots, gap diagrams, comparison panels, teaching visuals, social cards, and historical iterations of the interface.

Its job is not decorative. Visuals make the two-gap framework inspectable. A reader should be able to see the difference between poor evidence access, poor evidence processing, and a refusal to assign confidence according to one’s own perceived evidence.

Core Visual Sets

The first visual set is the archetype set: ideal agent, honest novice, biased expert, epistemic delusion, gaslighting, academic dogma, strict empiricism, and any later scenario diagrams. Each item should include a caption explaining what the visual teaches and which variables differ.

The second visual set is the structural set: Objective Evidence to Perceived Evidence gap diagrams (E0-EP), Perceived Evidence to Assigned Credence gap diagrams (EP-CA), calibration scales, likelihood curves, update sequences, and comparison panels that show two agents handling the same evidence differently.

The third visual set is the teaching set: worksheets, slide-friendly diagrams, printable legends, and annotated screenshots from the interactive lab.

Caption Standard

Every archived visual should answer four questions: what is being compared, what the relevant variables are, what failure mode the image illustrates, and what a more rational update would look like.

Captions should avoid simply labeling a person “irrational.” The useful claim is more precise: where is the gap, what explains it, and what would reduce it?

Why It Matters

The visual language is central to the project. Many readers will understand the distinction between Core and Deep failure faster from a diagram than from a formal definition.

The archive also preserves continuity as the site evolves. When terminology, colors, examples, or interface states change, archived visuals can show how the teaching model developed rather than making every revision disappear.