Breaking the Gambler’s Fallacy in Quality Management
Why your production team believes a streak of good results guarantees a failure, how this distorts your SPC data, and…
404 articles
Why your production team believes a streak of good results guarantees a failure, how this distorts your SPC data, and…
Why organizations over-engineer against dramatic past failures while ignoring the statistical risks that actually cause defects, scrap, and recalls.
Why quality teams dismiss data that contradicts their beliefs — and how to build an organisational structure that makes evidence…
Why a sample of five parts cannot represent a batch of two thousand, and how to rebuild your quality system…
Your quality system fails not because procedures are weak, but because the people running them optimise for different outcomes than…
Process changes with clear ROI and verified data are blocked every day. The mechanism is loss aversion, and it is…
The most dangerous cognitive trap in quality engineering is not a lack of data, but the systematic filtering of evidence…
Too little pressure breeds apathy; too much pressure destroys cognitive function. Here is how to engineer the optimal zone for…
Standard quality tools evaluate variables in isolation. When three or four minor deviations converge, your FMEA, SPC charts, and control…
Quality interventions rarely fail at the first order. They fail at the second and third. Here is how to anticipate…