Methodology
How to read this dashboard
The Global Literature Dashboard mixes official statistics, trade journalism, and editorial analysis on a single screen. That mixture is the point — but it only works if every item tells you, plainly, what kind of claim it is. This page explains the labels you'll see throughout the dashboard and the editorial stance behind them.
Evidence tiers
Every signal, book, quote, event, and idea on this dashboard carries an evidence tier badge. The tier describes where a claim comes from, not how important it is. A Tier 3 editorial idea can matter more than a Tier 1 statistic — it is simply a different kind of claim, and you should weigh it differently.
Confidence levels
Confidence describes how sure we are that a claim is accurate given its sources. It is independent of evidence tier and, critically, independent of importance.
A useful test: the Dangerous / Neglected Idea panel is deliberately the most important item on the overview page and carries Editorial confidence. Confidence tells you how settled a claim is, not how much it deserves your attention. Treat a Low-confidence Tier 2 report about a market shift as worth watching even though it is less “certain” than a High-confidence Tier 1 statistic about something that already happened.
Freshness
Freshness describes how often a source updates — not how old the specific item you're looking at is. It exists to prevent a very specific failure mode: presenting an annual statistic with the same visual urgency as a live feed.
The rule of thumb: an Annual, High-confidence, Tier 1 figure is trustworthy and slow-moving. A Weekly, Medium-confidence, Tier 2 signal is timely but provisional. Neither is “better” — they answer different questions.
Editorial stance
This dashboard is built on the premise that showing uncertainty is more trustworthy than hiding it. Most dashboards present everything in the same typography and color, which quietly implies that everything has the same epistemic status. It doesn't. A festival program, a translator's interview, and an in-house index are different kinds of claims, and treating them identically is itself a misleading editorial choice.
In practice, this means: every data-bearing card on this dashboard shows its source, evidence tier, confidence, and freshness, even when that makes the card busier. Tier 3 editorial content is visually marked so it can never be mistaken for hard data, even by a reader skimming quickly. And when an item is included because it is locally relevant — for example, items connected to Vancouver, the Lower Mainland, or British Columbia — it is flagged as such, but placed inside the same global feeds as everything else, because it earned its place by clarifying something, not by being local.
This is Phase 1 of the Global Literature Dashboard: a static prototype built on carefully written mocked data, designed so the information architecture and content model hold up once real data sources — and eventually live feeds — are connected behind them.