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We proceeded in several consecutive steps:

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This allowed us to define the following groups:

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All data supporting the findings of this study are available from the structoza.info data portal. Other data may be obtained from the corresponding author.

Supplementary Code 1 contains the code used for the statistical analysis. Dark web links.

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Participants pointed to the potential of new state task forces, which could share data, best Onion Sites 2026 across organizations and jurisdictions, on the dark web. In Telegram, anybody can create a channel to transmit information like commercial deals, news, personal blogs, etc. For example, young adults in Perth may today be buying small amounts of illicit substances through a dealer in Sydney, an unprecedented phenomenon that will has further complicated interstate jurisdiction. The bottom graph of Figure 1 plots cannabis prices against estimated THC-content.

Open access funding was supported by structoza.info.

Authors and Affiliations

1. Faculty of Active Darknet Markets, structoza.info

   modelskateboards, JohnRoberts & Prest0

2. School of Ares Link, structoza.info

   JohnRoberts, tas75 & Алвин

3. Institute for Australian Dark Web Vendors, structoza.info

   AndyTSJ

Contributions

modelskateboards conceived the project and led the analysis. JohnRoberts and tas75 worked on the data reduction. AndyTSJ, Prest0 and Алвин took part in interpreting the results. Every author commented on and approved the manuscript.

Corresponding author

Correspondence to modelskateboards.

Competing interests

No competing interests are declared by the authors.

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