Behind epacis is a simple curiosity: how do we turn a question into a method, a set of observations into evidence, and an equation into an explanation?
Matthieu Margeot
Matthieu Margeot is fascinated by the questions behind an equation: what it explains, how it is tested and where its limits begin. Research methods, computational science and economics meet naturally in that curiosity. A line of Python, a scientific paper or a model of interest rates can each open a different window onto the same challenge: making sense of a complex world.
On epacis, he enjoys following those connections and translating technical ideas into clear examples. His favourite subjects invite readers to look beyond a result: why a source deserves attention, which assumptions make a model useful, and what a pattern in the data can really tell us.
A curiosity-led editorial approach
Matthieu favours explanations that make the reasoning visible. Definitions, practical examples and carefully stated limits help readers build their own understanding instead of simply memorising a formula. The aim is to preserve the interest of a subject while giving its complexity the attention it deserves.
The site uses documentary research and AI-assisted writing, with editorial review. Original sources remain essential: AI assistance can help organise a question or develop an explanation, but it does not replace checking the facts.
Comparisons with clear boundaries
Product comparisons draw on documented specifications, relevant uses and explicit selection criteria. Unless a page describes a documented hands-on test, it is a documentary comparison. Generated illustrations are never presented as photographs of tests performed by Matthieu.
Amazon.fr affiliate links and advertising are planned. Commercial links will be identified and kept distinct from contextual links between our articles.
An evolving collection of explanations
The article archive brings together the site’s work on research, computation and economic models. Its original publication dates and addresses are preserved. Corrections should identify the relevant passage and the evidence that supports a revision.