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https://www.youtube.com/@valls_geoconsultant?sub_confirmation=1 For more videos about geology, geochemistry, AI, and much more, please visit and subscribe for free here: Golden droplets- https://shorturl.at/fetV1 Geovoices- https://tinyurl.com/m23pp4pb News about geology- https://tinyurl.com/3979urhy Geo News Radio: https://shorturl.at/MwdSK Mastering mineral resource estimation and mineral reserves is essential for every junior and senior geologist to ensure compliance with global reporting standards like NI 43-101 and the JORC Code. In this video, we explore how improper geological modeling, poor data validation, and incorrect geostatistics can lead to a failed resource report that ignores critical CIM definition standards. One of the primary errors killing your reports is the neglect of proper exploratory data analysis and declustering, which are vital for mitigating spatial bias in heterogeneous deposits (Dumakor-Dupey & Arya, 2021). Furthermore, many prospectors and earth science students rely too heavily on traditional geometric methods like inverse distance weighting without utilizing the "Best Linear Unbiased Estimator" potential of ordinary kriging to minimize error variance (Rossi & Deutsch, 2014). We also examine the lack of robust variography, where failure to account for anisotropy or nugget effects results in biased grade distributions (Zarqua, 2014). Integrating machine learning and artificial intelligence can modernize your workflow, yet many geoscientists struggle with the transition from deterministic smoothing to stochastic sequential Gaussian simulation, which is required for accurate uncertainty quantification and risk analysis in complex formations (MacKie et al., 2023). Finally, we address reporting standard failures where practitioners fail to clearly categorize resources into measured, indicated, and inferred classes or neglect the application of necessary modifying factors for reserve conversion (CIM, 2004). By utilizing modern tools such as GeostatsPy or GemPy and adhering to the CRIRSCO international template, you can avoid the "if not, why not" pitfalls that ruin professional credibility (Pyrcz, 2024). The bridge between Academy and Industry! P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly Valls Geoconsultant ORCID ID- https://orcid.org/0000-0002-5421-0914 Scopus Author ID: 7003369619/35335510700 ResearcherID: S-6604-2018 If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets #valls_geoconsultant #mineralresourceestimation #geology #NI43101 Some references European Federation of Geologists (EFG). (2023). EFGA: Resources and reserves calculation with RecMin [Video]. YouTube. https://www.youtube.com/watch?v=Fj-yZ7-t1qU Geo Clect. (2021). Mineral resource modelling / estimation [Video]. YouTube. https://www.youtube.com/watch?v=L2a7C5K0m_Y GMRTC. (2021). Mineral resources and reserves classification for reporting [Video]. YouTube. https://www.youtube.com/watch?v=I7X8hY-qYyI Micon International Limited. (2021). EP014 - Validation of mineral resource estimates [Video]. YouTube. https://www.youtube.com/watch?v=O1R9G_P4H9A MiningMatch Network. (2021). Practical tips to apply geostatistics for mineral resource estimation [Video]. YouTube. https://www.youtube.com/watch?v=E7v6_C7fC0k The Geological Society. (2018). Mineral resource estimation: Mike Stewart (22.10.18) [Video]. YouTube. https://www.youtube.com/watch?v=Yg6w_0_46jQ Valls, R. (2020a). Explicando VOXLER para estimación de recursos [Video]. YouTube. https://www.youtube.com/watch?v=A37A-s67uLk Valls, R. (2020b). GD 60- How to visualize cross sections in 3D using Strater and Voxler [Video]. YouTube. https://www.youtube.com/watch?v=GjY-l9yS3vY Valls, R. (2020c). Golden Droplets episode 30 using Interdex and Coreview for resource estimations [Video]. YouTube. https://www.youtube.com/watch?v=F6zG2kH7E40