You can use this as a LinkedIn article, a blog post, or a technical memo.
A mineral engineer who doesn’t use statistics is like a metallurgist without a screen — guessing on particle size. You don’t need a Ph.D. in statistics. You need three things: Statistical Methods For Mineral Engineers
If you assume normality, you will massively overestimate the probability of high grades and underestimate the tonnage above cutoff. You can use this as a LinkedIn article,
📊 Optimizing Mineral Processing with Data: A Resource for Engineers a blog post
Statistics help identify whether a high-grade sample is a legitimate part of the ore body or a measurement error that needs to be "capped" to prevent biasing the model. 4. Process Optimization: Design of Experiments (DoE)