Biohacker Institutional Evasion Behaviors in GCC Longevity Economy

A collection of anonymized data from a 14-month netnographic study of approximately 350 unique participant handles in the GCC longevity economy. It supports analysis of consumer evasion behaviors and institutional voids, including calculations of an Institutional Void Premium (IVP).

Use Cases

• Analyze the relationship between network roles (e.g., Admin, Veteran, Novice) and specific institutional evasion behaviors.
• Calculate the localized transaction costs and grey-market markups contributing to the Institutional Void Premium (IVP) for restricted interventions.
• Map anonymized data extracts to First-Order Concepts and Second-Order Themes for comparative analysis between restrictive and permissive environments.
• Examine the correlation between primary platforms used and the types of evasion behaviors observed across participant handles.

Strengths

• Data is derived from a 14-month observation window, providing longitudinal qualitative insights.
• Includes anonymized data for approximately 350 unique participant handles across digital networks.
• Provides a complete qualitative coding dictionary mapping data extracts to conceptual themes for two distinct cases.

Limitations

• The dataset is primarily qualitative, limiting direct computational replication and statistical analysis.
• Data is anonymized and translated, which may obscure some original contextual nuances.
• The sample of ~350 participant handles may not be fully representative of the broader biohacker population.

Provenance

Source

Harvard Dataverse

Collection Method

Dual-case netnographic research involving non-participant observation of encrypted digital networks.

Time Range

14-month observation window (specific dates not provided).

Freshness

Last updated in February 2026.

Geography

Gulf Cooperation Council (GCC) region.