Statistical power—the ability to detect real effects in experiments—remains critically overlooked in tech research, leading to wasted resources and unreliable AI or software findings. This primer unpacks why developers and data scientists must prioritize power calculations to avoid costly 'Type II errors' and ensure robust results. Source: Carlisle Rainey.