Knowledge Architecture:ConceptsObservationsEvidence

Computational Demand Transmission Rate (CDTR)

CDTR

Rate at Which Demand Successfully Transmits Through Computational Allocation Channels

Proposed hypothesis — not yet testedpublished

CDTR measures end-to-end demand transmission through AI-mediated channels.

July 12, 2026
Version 1.0
6 min read
By Marco Patrone
cdtrdemand_transmissioncomputational_allocationtransmission_metric

Definition

CDTR measures overall demand transmission effectiveness through AI-mediated allocation channels from signal emission to allocative outcome.

CDTR assesses overall demand transmission effectiveness through AI-mediated allocation from signal emission to allocative outcome.

Conceptual Formula

CDTR = (allocative_outcome / demand_signal) × channel_quality_factor.

Methodology

Type

index construction

Data Sources

synthetic

Confidence Level

low

Description

CDTR = (allocative_outcome / demand_signal) × channel_quality_factor.

Limitations

  • Demand signal attribution is complex
  • Channel quality assessment is heuristic

Key Takeaways

Key Points

  • CDTR scales 0-1
  • End-to-end transmission measure
  • Integrates all transmission stages

Target Audience

policy makerseconomistsfirms

Relevance Tags

cdtrdemand_transmissioncomputational_allocationtransmission_metric

Source Paper

The Zero-Click Economy

HomeSelf Research (2026)

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Citation

For the Computational Demand Transmission Rate (CDTR), see HomeSelf Research (2026), The Zero-Click Economy.

DOI: 10.5281/zenodo.21321629

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