The evidence behind each alert
Every alert fires because a real number crossed a real line in the weather data. Not a fixed schedule, not a seasonal reminder. Below is exactly how each of the four thresholds was set, and how we checked it.
Subsidence watch
We model soil moisture deficit (SMD) per property, using the FAO-56 water-balance approach, and compare it against a threshold set for that property's specific location. A single UK-wide number doesn't work. We backtested 51 years of weather (1975–2025) across 10 locations, and a flat threshold either false-fired on ordinary wet years in wetter regions, or missed real droughts in drier ones — deficit magnitude just varies too much by climate. So each location gets its own cutoff, drawn from its own historical percentile.
We checked those thresholds against known insurer-reported UK subsidence years (1976, 1995, 2003, 2006, 2010, 2011, 2018, 2022, 2025) against known UK-wide wet years (2007, 2012). But we didn't just trust that list. A second, independent source caught two problems in it: 2021 doesn't actually hold up as a UK-wide wet year (it was only true for the South East), and 1995 — the UK's driest summer on record — had been left off entirely.
Zero false positives
At the calibrated threshold: zero false positives against every labelled wet year, at every location — while catching 64 of 90 (71%) of the labelled drought instances.
The recall isn't even across the UK
89% in Birmingham and Colchester. Down to 44% in Belfast, the weakest location tested. An aggregate number alone would have hidden that.
Damp & mould watch
UK home insurance treats damp and mould as wear-and-tear, not an insurable peril like subsidence. That means there's no claims-by-year dataset to backtest against, and there never will be. So validation here is simpler: does the trigger fire a sane number of times per damp season? Not constantly. Not never.
The threshold is anchored to BS 5250, the UK's own code of practice for condensation control. It documents that sustained indoor humidity above 70% pushes external wall surfaces into the range that supports mould growth. We read outdoor humidity as a proxy for that — there's no indoor sensor, this is a data-only product with no hardware to install. Our first guess, 85%, fired 5–8 times a year in an early pilot. That's routine weather, not a warning. At 90%, tested properly across all 10 locations, it settled into a genuine occasional-watch range: 1.9 times a year in Plymouth, 5.5 in Birmingham.
Freeze risk
This one's simpler. 0°C is a physical fact, not something we tuned — the trigger fires when a hard frost is forecast at a property you've flagged as vacant, with no heating keeping the pipes above ambient temperature. What we can't calibrate in advance is whether a three-day-out forecast actually holds up. Checking that properly needs archived past forecast issuances, and MET Norway's API doesn't expose that history. So unlike the other three triggers, this one gets assessed by watching real alerts against real outcomes once it's live — not backtested first.
Flood risk
This one's different from the other three: the underlying scale isn't ours. It fires on the Environment Agency's own severity levels (1–3 of their 4-level scale) for active flood alerts and warnings, within 3km of the property. We spot-checked that 3km radius against five UK towns with well-documented flood history — York, Tewkesbury, Shrewsbury, Hebden Bridge, Cockermouth — and it caught every one of their real flood areas.
One honest caveat: a deliberately inland control town matched too. England's watercourse network is dense enough that "there's an EA flood area nearby" isn't much of a filter by itself — severity is doing the real work, not proximity. And this only covers England & Wales, the Environment Agency's own remit. A property in Scotland or Northern Ireland will never see a flood alert from us.
Where the data comes from
Weather data — air temperature, humidity, dew point, precipitation — comes from MET Norway. It's genuinely free public infrastructure, no paid tier, licensed for commercial use under NLOD 2.0 and CC BY 4.0. Flood data comes from the Environment Agency's real-time flood-monitoring API, also free for commercial use under the Open Government Licence. Neither is a metered product we could get priced out of.
What this doesn't mean
None of this makes the model infallible, and we'd rather say so than let the numbers above imply otherwise. A live spot-check across three UK cities found MET Norway reads consistently lower than the data source we originally calibrated the subsidence and damp/mould thresholds against: humidity 1.7 to 10.1 percentage points lower, daily highs 0.1 to 3.6°C lower. Three cities is a spot-check, not proof — but the direction is consistent, so both triggers probably fire somewhat less often live than the backtest suggests. We'll say so plainly if that turns out to matter once real alerts are firing. Weather forecasting has genuine uncertainty in it, which is also why the terms are upfront that this is a best-effort tool, not a substitute for your own inspection or your insurer's assessment.