InsightStudio · Analytics Series
Analytics
Drift
How safety fails. A data-led review of accident causation and prevention strategies.
Most serious incidents are preceded by months — sometimes years — of quiet deterioration. Drift examines the patterns in safety data that precede failure, and the analytical methods that can catch them before they become headlines.
The SCAN Series · Analytics
Read the data. See the drift. Act before failure.
Drift brings together causation theory and real-world data analysis — drawing on national statistics from GLOSS and operational event patterns from the field. Analytical commentary written for professionals who want to understand what is driving the numbers.
01
Normalisation of deviance
How small deviations from safe procedure accumulate unnoticed until a major failure makes them visible.
02
Latent conditions
The organisational preconditions — resource pressure, time compression, ambiguous standards — that set the stage for incidents.
03
High-frequency low-severity data
Why first aid counts and near misses are the most predictive data an organisation holds — and how to read them.
04
Causation models
Swiss cheese, bow-tie, and STAMP/STPA — the frameworks that explain how causes interact, not just what they are.
05
Sector pattern analysis
Using GLOSS data to understand how incident profiles differ across construction, manufacturing, logistics, and services.
06
Prevention strategies
What the data says about what actually works — beyond PPE campaigns and toolbox talks.
The SCAN Series
See the patterns in your own data.
Drift is one of four series in the SafetyRatios InsightStudio. Subscribe to read the full series alongside your live event data, GLOSS benchmarks, and sector comparisons.