Methodology

How we measure hotel freshness

Trust is our product. Every number on HotelChrono can be traced back to a source — and one rule governs everything: no quote, no data.

The Chrono Score formula

Chrono Score v1.1deterministic · reproducible · updated July 2026

The Chrono Score is a 1–10 measure of freshness only, kept deliberately separate from star ratings. It is not a black box: it is a single, transparent function of the most recent year we can source. You can recompute any hotel's score yourself from the sourced date on its page.

The exact rule

# if a completed renovation year is sourced
score = 100 − 3.5 × (this year − renovation year)
# else if only a build / opening year is sourced
score = 100 − 1.5 × (this year − build year)
# else
Unscored — not enough evidence to score
clamped to 5–99, then shown out of 10 (÷ 10)

Freshness fades as time passes since the last completed renovation (3.5 / year); a building simply ages more slowly (1.5 / year). The slope is tuned to a typical ~14-year renovation cycle — a hotel due for a refresh lands around the middle of the scale, not the floor. A hotel with no sourced year is left unscored — we never fill the gap with a default number.

Worked examples

Renovation completed 2 years ago100 − 3.5 × 2 = 939.3/10Fresh
Renovation completed 14 years ago (a typical cycle)100 − 3.5 × 14 = 515.1/10Ageing
Renovation completed 20 years ago100 − 3.5 × 20 = 303.0/10Tired
New build, no renovation yet (6 years old)100 − 1.5 × 6 = 919.1/10Fresh
Built 36 years ago, no renovation on record100 − 1.5 × 36 = 464.6/10Tired

The score is a deterministic function of a sourced year — the same inputs always give the same number, and nothing is hidden. What varies is confidence: the quality of the source behind that year is shown separately as a tier (below). A weak source lowers the confidence tier and is labelled as such — it never silently moves the number. Hotels marked under renovationare flagged separately and are never shown as “fresh”. Future versions may add factors; each will be published with its own version number.

Score bands

9.2

Fresh

8.0–10

6.4

Ageing

5.0–7.9

2.8

Tired

0–4.9

Where the data comes from

Every fact carries the weight of its source. When two sources disagree, the higher weight wins; if the conflict is too close to call, a human decides.

0.95
Verified official — official register / building permit
0.85
Verified editorial — hospitality & news media
0.65
Secondary — Wikipedia / Wikidata
0.50
Weak / unverified — blogs, review mentions, AI/wiki-style pages
0.40
Conflict — sources disagree

A confidence tier on every fact

We don't pretend every date is equally certain. Each build and renovation year carries a visible tier, so you always know how strong the evidence is:

Verified

Backed by a strong source — an official register, editorial or trade publication — and re-checked by a capable model.

Sourced

Cited, but from a weaker or aggregator source. Plausible, lower certainty — the autopilot keeps hunting for a stronger one.

Estimated

No source on record yet. Shown for context, clearly marked — never counted as a verified fact.

We also continuously re-verify suspect records with a capable model and remove any claim a source can't back — so confidence only goes up over time.

Renovation states — announced is not completed

A renovation that is only announced or under way is not a finished one. We classify each renovation by state, and only a completed renovation raises the freshness score — a hotel mid-refurbishment is shown as “under renovation,” never as “fresh.”

Completed

A renovation that has finished — only this raises the freshness score.

Under renovation

Work announced or under way; the hotel is not yet reopened. Shown as 'under renovation', never as 'fresh'.

Announced

A future renovation is planned but not started.

The rule: no quote, no data

For every year we record, the AI must return the exact sentence it was extracted from. If there is no verbatim quote, the data is discarded — full stop. This is our strongest guard against hallucination, and the reason every hotel profile shows its sources in full.

“Following an 18-month, full-property renovation, the hotel reopened in March 2023.” → built into the timeline, with the source attached.

A living, self-maintaining pipeline

1

Seed

Import of open data (OpenStreetMap, Wikidata, public accommodation registries).

2

Enrich

An AI worker reads official sources and extracts structured facts with a cited quote for every date.

3

Monitor

A daily job scans industry media and chain press rooms for new renovations — the database breathes.

4

Confidence

Each fact is weighted by its source quality. A weak or wiki-style source alone can never be 'high confidence'.

5

QA wall

Before a score is shown: is the renovation completed (not just announced)? does it have a source? is the name correct? Issues are flagged openly.

6

Re-verify

An autonomous loop re-checks records over time — so 'under renovation' becomes 'renovated' once a hotel reopens, and stale data refreshes itself.

7

Publish

Pages regenerate the moment a fact changes — always fresh, always fast.

Sources & licensing

We build only on legitimately obtained data: OpenStreetMap (ODbL), Wikidata (CC0), public registries and permits, official hotel communications, and industry news. Photographs are used only with a clear licence (Wikimedia Commons, hotel-provided, or user uploads).

We never scrape content or photos from booking platforms. We respect robots.txt and rate limits. Attribution is given where licences require it.

See it in action.

Open any hotel profile and you'll find its timeline, Chrono Score and every source behind it.

View a sample profile →