Rock Paleo Magnetism is my independent scientific publication and open-source project exploring technical and methodological questions in rock magnetism and paleomagnetism. I focus particularly on data fidelity, analytical bias, reproducibility, and the assumptions behind commonly used methods.
I created Rock Paleo Magnetism to examine questions that deserve more space than conventional publication formats often allow. Through long-form technical articles and open Python resources, I aim to encourage careful interpretation, transparent methods, and constructive discussion within the magnetic research community.
Scientific methods can become familiar long before all of their assumptions and limitations have been fully examined. Software can produce precise outputs even when the underlying model is incomplete, a mathematical transformation is misunderstood, or an experimental bias remains unrecognized.
Through Rock Paleo Magnetism, I explore questions such as:
What assumptions are built into frequently used analytical methods?
When does numerical precision create unjustified confidence?
How do experimental procedures influence the quantities we interpret?
Can established methods contain subtle but systematic sources of bias?
How can code, visualization, and transparent workflows make scientific results more reproducible?
Which foundational concepts should be revisited as methods and datasets evolve?
My purpose is not simply to critique existing practices. I want to understand how and why methods work, identify where they may fail, and help develop clearer and more reliable ways to interpret magnetic data.
To receive new issues and project updates, email rockpaleomagnetism@gmail.com and ask to be added to the mailing list.
Latest Issues
Rock Paleo Magnetism, Volume 1, Issue 2
Paleomagnetic studies can produce tightly grouped measurements and statistically precise results, but precision alone does not guarantee that those results accurately record the ancient magnetic field. This article examines the distinction between precision and accuracy and asks whether some familiar analytical practices may understate systematic uncertainty.
Rock Paleo Magnetism, Volume 1, Issue 1
Coercivity unmixing is widely used to separate magnetic components, but differences between mathematical distributions and their derivatives can introduce consequential analytical bias. This article examines how that distinction entered common practice, why it matters, and how it can affect the interpretation of magnetic components.
I share new Rock Paleo Magnetism articles through the mailing list, this website, GitHub, ResearchGate, and LinkedIn.