Why Does TikTok Keep Showing the Same Kind of Videos?

Many digital platforms evaluate success using measurable signals such as clicks, engagement, watch time, and growth metrics.

These signals are easy to track and scale, which makes them attractive targets for optimization.

However, these metrics are often only proxies for deeper outcomes such as usefulness, accuracy, or meaningful experience.

When systems optimize the proxy instead of the underlying goal, the numbers improve while the real outcome gradually deteriorates.

Within the Reality Drift framework, this structural pattern is known as the Optimization Trap.

Full visual explainer:
[Download the PDF]

Concept Framework PDFs:

• Reality Drift
• Filter Fatigue
• Synthetic Realness
• Optimization Trap

Extended Material:

• Reality Drift Canonical Definition
• Visual Reference Material
• Extended Working Papers
• Glossary
• Mechanics & Taxonomy
• Drift/Fidelity Index
• Connection Papers
• Recognition Guides
• Lineage Papers

Note: This site hosts a reader edition for archival and reference purposes.

Related concepts: Reality Drift, algorithmic amplification, engagement optimization, recommendation algorithms, proxy metrics, filter fatigue.