This is an editorial pick, not a submission — Talmyn’s own research into a data-driven investigation we think demonstrates real methodological rigor, published as part of our ongoing Best Data Story coverage.
The Financial Times won a 2026 Sigma Award — one of data journalism’s most respected international prizes, judged by a panel of 17 practitioners across dozens of countries — for “Inside Russia’s Shadow War in the Baltics,” an investigation into suspected sabotage of undersea infrastructure. The reporting team built its case by collecting and cross-referencing marine vessel traffic data with the locations and timing of infrastructure damage, rather than relying primarily on official statements or leaked documents.
Why this made the list
The specific methodological choice worth explaining is what makes this a data story rather than a conventional investigative piece with charts added afterward: the vessel-tracking analysis is the actual evidence base the reporting stands on, not an illustration layered over reporting done another way. That distinction matters because it makes the investigation’s core claims independently checkable against the same underlying data — a different, harder standard than a story that depends primarily on anonymous sourcing.
The Sigma Awards’ judging process specifically has no fixed subject or format categories, which is meant to let a project like this — part maritime data analysis, part geopolitical investigation — compete on its own terms rather than being forced into a narrower box that wouldn’t fit the actual reporting.
Talmyn’s Best Data Story coverage looks for reporting where the data itself is the evidence, not a supporting graphic. This investigation’s vessel-tracking analysis is exactly that kind of primary-source data work.
