Tim Cooper on ‘the data clearly shows’: risk lessons for infrastructure engineers
Reviewed by Tom Sullivan
First reported on New Civil Engineer
30 Second Briefing
Veteran civil engineer and ICE fellow Dr Tim Cooper questions over-reliance on phrases like “the data clearly shows” in infrastructure decision-making, warning that incomplete datasets and unexamined assumptions can distort risk assessments and option selection. He points to long-term asset performance, rare failure modes and construction-stage behaviours that often sit outside standard monitoring regimes and dashboards. For geotechnical and structural teams, the message is to interrogate boundary conditions, sampling strategies and model calibration as rigorously as the numerical outputs themselves.
Technical Brief
- Statement “The data clearly shows...” is singled out as a red flag in technical discussions.
- Author draws on 35+ years’ civil engineering experience and ICE fellowship to question such claims.
- Concern is directed at infrastructure decision-making, not just academic or research contexts.
- Focus is on long-term infrastructure performance and safety, rather than short-term project metrics.
- Emphasis is on engineers’ personal responsibility to challenge over-confident interpretations in design reviews.
- Safety risk is linked to untested assumptions embedded in models, dashboards and performance indicators.
- Wider implication: safety cases and option appraisals should explicitly document data gaps and uncertainties.
Our Take
Recent New Civil Engineer coverage on BIM, CDEs and the ‘data handover gap’ suggests that safety thinking is increasingly tied to information management and asset lifecycle issues, so a safety-focused op-ed here is likely to resonate with ongoing debates about how digital close-out affects long-term risk on infrastructure assets.
NCE’s parallel work with early-career engineers and innovation challenges (for example at Heathrow Airport and the Bridges Conference) indicates that this safety op-ed from a highly experienced practitioner could be read as a counterpoint or mentoring lens on the more experimental ideas emerging from those programmes.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
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