Rua Gold's New Zealand drilling moves beyond isolated high-grade hits toward resource confidence

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On October 8, the key to gold exploration is not just a single high-grade sample.

FPG said that Rua Gold announced drilling results from its Auld Creek project in New Zealand on October 5, with four rigs continuing resource drilling.

The company said mineralization still has room to extend along strike and at depth, and the latest work focuses on confirming the connection between orebodies to supplement the basis for a subsequent resource update.

Among the results, a 6.3-meter core interval contained a gold grade of 13.7 grams per tonne and included narrower high-grade sections.

FPG believes that when reading this type of data, investors must look at both interval length and true thickness, and cannot extrapolate a local peak value to the entire orebody.

The project also contains antimony, and the calculation bases for gold grade and gold equivalent should not be mixed.

The company said repeatedly occurring mineralized zones help improve the geological model, and it plans to update the resource estimate in the fourth quarter.

The more fully drilling verifies spatial continuity, the more solid the information underpinning resource classification becomes.

However, open mineralization only means the boundary has not yet been defined; it does not mean the extension area necessarily contains the same grade, let alone that economic mining conditions already exist.

Comparing drill hole locations, core lengths, and true thickness together can reduce misreading caused by isolated grade figures and make it easier to track subsequent verification.

Regarding this progress, FPG analyzed that follow-up attention should be paid to whether additional drill holes can connect existing mineralized sections, and whether metallurgical and geotechnical testing support engineering studies.

The company plans to release a pre-feasibility study in December, and the timeline target still carries execution uncertainty.

The value judgment of gold resources should shift from a single bright data point to a repeatably verifiable overall model.

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