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The McNamara Fallacy … and why we still make rubbish products that break a lot
The McNamara Fallacy explains how an obsession with easy-to-measure statistics blinds leaders to real problems. From failed wars to faulty products, the dangers of relying on the wrong metrics are everywhere. This post explores how data misuse fuels poor decisions, why many companies still produce unreliable goods, and what leaders can do to focus on the right measures that drive quality, reliability, and long-term success.
Sep 169 min read


The Rivian Paradox: High customer satisfaction with low reliability (is product reliability still important?)
Rivian has captured EV fans with bold design and adventure-ready features, yet ranks among the least reliable automakers in 2025. So why are customer satisfaction scores still so high? This post explores the paradox of innovation vs. reliability, lessons from past failures like the Yugo, and why long-term success for Rivian—and any brand—depends on building products that delight customers and stand the test of time.
Sep 86 min read


How to be ‘certified’ in Weibull Analysis (and Why It Matters)
Learn why becoming certified in Weibull analysis is more than a technical skill—it’s a strategic advantage in reliability engineering. From predicting failures and optimizing maintenance schedules to improving warranty decisions and boosting career credibility, Weibull analysis empowers engineers to make smarter, data-driven choices. Explore Acuitas Reliability’s expert-led certification program and gain practical skills, hands-on tools, and recognition that set you apart.
Sep 37 min read
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