0.2 Second Error: Lesson on Hand-Counted Data in Sports Analysis

A 0.2 second discrepancy taught me to trust my own eyes. On August 26, 2026, at SEA Games 29 in Kuala Lumpur, I published a quick report on Vietnamese track athlete Tran Thu Ha with a 11.72 second semi-final time, finishing second in the standings. The article was quickly debunked, shared 1,400 times on a 210,000-follower fan page with mocking comments. I had to delete it, write a two-page official report and manually review all 12 official recordings. On them, I built a hand-counted data table: step rhythm, distance, final lap speed for eight Vietnamese female athletes. The initial shock quickly turned into an experimental joy. From then on, the habit of triple-sourcing formed, every metric tied to its source or noted if unverifiable, with context estimates instead of absolute claims. The 0.2 second mistake reminded me that a poorly grounded number can destroy an entire documentary. This was the first lesson from the sports documentary scriptwriter profession, where I never read pre-existing table statistics.