Fresh Thinking by Snowden Optiro

Which commodities matter most in the global race for critical and strategic minerals?
In this episode of  @SnowdenOptiro  Fresh Thinking podcast, Senzeni Mandava Matondi is joined by Julian Aldridge and Laurie Hassall to explore the commodities that consistently appear on critical minerals lists around the world and the factors driving their importance.
The discussion examines key battery minerals including lithium, cobalt, nickel, manganese and graphite, alongside rare earth elements, tungsten and aluminium. The team also explores how geopolitical considerations, supply chain security and processing capability influence whether a mineral is considered critical or strategic.
Topics covered include:
The common commodities found on national critical minerals lists
The growing importance of rare earths and tungsten
Why aluminium is increasingly viewed as both critical and strategic
How Indonesia's nickel production is influencing global markets
China's role in downstream processing and critical mineral supply chains
The relationship between resource availability, processing capacity and strategic importance

What makes a mineral critical? What makes it strategic? And why are governments around the world racing to secure supplies of certain commodities?
In this episode of Fresh Thinking by Snowden Optiro , Senzeni Mandava Matondi, Julian Aldridge, and Laurie Hassell explore the growing importance of critical and strategic minerals in today's economy. From copper, lithium and rare earth elements to gallium and germanium minerals, the discussion examines how countries define these resources and why those definitions matter.
The team explores:
The difference between critical and strategic minerals
Why supply risk matters
The role of minerals in national security and defence
Food security and fertiliser-related commodities
How critical mineral lists differ between countries
The influence of processing capability and intellectual property
The minerals driving the energy transition

Will AI replace geologists? In this episode of Fresh Thinking by  @SnowdenOptiro , we explore how artificial intelligence is being used across the mining industry, from exploration targeting and core logging to resource estimation and technical reporting.
Our team discusses the opportunities AI presents, its current limitations, and why geological expertise, judgement and accountability remain critical in mining workflows.

What are the key differences between private mining companies and publicly listed mining companies when it comes to project development, risk, and reporting? In this episode of ‪@SnowdenOptiro‬ 's Fresh Thinking podcast, Senior Consultant, Laurie Hassall speaks with Managing Consultant, Julian Aldridge, about how private companies approach mining project economics compared with companies reporting under the CRIRSCO framework. The discussion covers:
CRIRSCO Code compliance and disclosure requirements
Investor protection and technical defensibility
Resource and reserve classification
Mining project economics and financing strategies
Risk appetite in private vs public companies
ESG considerations in modern mining projects
How reporting standards influence mine development decisions
This episode provides valuable insight for mining professionals, investors, geologists, engineers, and anyone involved in mineral resource development and project evaluation.

In this episode of Fresh Thinking by Snowden Optiro, Ian Glacken and Susan Havlin explore localised conditional simulation (LCS) and its role in modern resource estimation workflows.
Building on earlier discussions around estimation methods, recoverable resources, and conditional simulation, this episode brings everything together to explain how LCS converts multiple simulation realisations into a single, practical block model—while preserving realistic grade variability. 
Key topics include: 
What localized conditional simulation is and why it matters
How localization transforms multiple realizations into a single model
The role of the E-type estimate in ranking and distribution
Differences between LCS and traditional ordinary kriging
How LCS supports recoverable resource estimation at the SMU scale
The origins of localization and its relationship to methods like uniform conditioning and MIK