← Back to home
MethodologySite trust

Methodology

This page explains how Predict Hub chooses prediction market topics, structures section hubs and leaf pages around search intent, and decides when guides, reviews, tools, and glossary pages should be refreshed.

What to know first

Summary

This page explains how Predict Hub chooses prediction market topics, structures section hubs and leaf pages around search intent, and decides when guides, reviews, tools, and glossary pages should be refreshed.

Trust page

What the site is trying to do

Predict Hub is trying to make prediction markets easier to understand without flattening them into one-line takes or burying beginners under jargon-heavy threads.

Each public section has a job: Guides explain, Platforms compare, Tools recommend, Glossary captures terms, and trust pages explain why the system works that way.

Trust page

How pages are chosen

New pages should exist because they answer a distinct reader job such as understanding a term, choosing a platform, comparing tools, or following a practical tutorial.

The default move is to merge close intents into stronger pages and expand only when a new page adds real explanatory value instead of thin SEO surface area.

Trust page

What evidence changes a page

Pages should update when the platform, workflow, fee structure, access reality, or interpretation context has genuinely changed enough to affect the reader's decision.

Noise alone is not enough. The practical meaning of the page has to move.

Trust page

How freshness is handled

Important pages carry a visible freshness note so readers can see when the page was last reviewed and what should trigger another pass.

The point is not to imply perfect real-time monitoring. It is to make the update boundary explicit.