Every geological model, resource estimate, grade control decision and reconciliation result ultimately depends on the quality of the samples behind it. In this episode of Fresh Thinking by Snowden Optiro, Melanie Bulley is joined by Senzeni Mandava Matondi to explore the Theory of Sampling and why representative sampling is fundamental to reliable decision-making throughout the mining value chain.
They discuss why natural heterogeneity makes sampling challenging, the difference between correct and incorrect sampling errors, why precision should not be confused with representativity, and why even highly precise laboratory analysis cannot correct a sample that was unrepresentative from the beginning.
The episode also explores the practical consequences of poor sampling, including ore loss, dilution, poor reconciliation and unreliable resource estimates. In this episode:
Why sampling is the foundation of mining data
Understanding representativity and natural heterogeneity
Correct vs. incorrect sampling errors
Precision vs. representativity
Why laboratories cannot fix poor sampling
The impact of sampling on grade control and reconciliation
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