Back tostdlib
Blog Post
New

The Peltzman Effect - by Jeff - JoT

Safety mechanisms in software often lower vigilance, causing riskier behavior that erodes the intended safety margin.

When teams add safety nets like heavy CI, feature flags, or mandatory code reviews, they often feel protected and shift verification downstream. This feeling of safety reduces individual vigilance, so developers rely on the net to catch mistakes instead of catching them early. The result is risk compensation: faster shipping, more technical debt, and incidents that consume the safety margin the guardrails were meant to provide.

The article shows concrete examples: CI pipelines become a weak signal when they turn red frequently, near-misses are ignored, and rollback incidents are treated as routine. It argues that safety systems must surface real risk - for instance, annotating CI failures with concrete impact, tracking "saved by CI" rates, or making test failures visible in team channels. Practices like error budgets keep risk visible, and progressive trust adjusts constraints based on demonstrated reliability, tightening after incidents.

By turning safety mechanisms into feedback loops that expose danger rather than hide it, teams keep their internal risk model calibrated. This prevents the Peltzman effect from undermining quality, ensuring that safety nets reinforce disciplined behavior instead of encouraging careless shipping.

Source: fffej.substack.com
#risk management#software engineering#technical leadership#process#team performance

Problems this helps solve:

Process inefficienciesTechnical debtTeam performance

Explore more resources

Check out the full stdlib collection for more frameworks, templates, and guides to accelerate your technical leadership journey.