Vietnamese swimming faces a 'scorched' analysis: When data is empty, praise is nothing but blindness

I just received an in-depth analysis of swimming — labeled 'Stage-2 Deep Professional Analysis'. All nine sections, from technical assessment to risk analysis, contain no actual data. Every item says 'N/A – insufficient information'. It reminds me of my own saying: When the stands are empty, every model collapses. But worse is a state of data poverty so severe there is nothing for a model to grip. My first impression: this analysis is a mirror of Vietnamese swimming. In more than 25 years in this profession, I have never seen a sports system with such a gap between achievement and data. At many youth competitions, electronic timing is not used. Coaches record results by feel; some teams keep no scientific logs. I need three sources to verify, but here three sources yield three different numbers. That is not because people lack ethics or ability, but because there is no national data standard. We once placed enormous hope in Nguyễn Thị Ánh Viên. SEA Games gold medals year after year turned her into a phenomenon. Yet after Ánh Viên left the national team, the swimming system almost returned to square one. Her story is a successful individual project, not the product of a data-driven selection system. A clear example: SEA Games heroics usually come from sending one athlete to contest too many events, not from optimizing each training phase with numbers. In football, the story is different. My analyses of 'Bình Dương pressing' relied on 26 rounds, PPDA and xGA, and I published 17 data charts. In swimming, if I want to predict whether an athlete can break a national record, I need to monitor heart rate, stroke length, underwater time after the start, and the number of high-intensity sessions in a month. But those numbers are never collected in a synchronized way. Here is a counter-intuitive perspective: the real problem is that Vietnamese people believe too strongly that talent and hard work can compensate for every technical flaw. They do not realize that in modern sports, data is not a luxury; it is the foundation. When a young swimmer slows down, the symptoms appear in the data months before results decline. Without data, we only see the consequences. During the pandemic, I rebuilt an 'empty-stadium' prediction model where home advantage fell from 54% to 47%. The same logic applies to swimming: if we do not measure carefully, we will never understand why a swimmer loses 0.5 seconds in a long-course race compared with short-course. We are guessing in the dark. What I want to stress is not a lack of money or talent. Vietnam has a long coastline, millions of children who love the water, and clubs are emerging. But without a national database of race results, without a recognized records system, without unified timing standards, even the most elegant analytical frameworks are just bones. Numbers do not lie, but people always find ways to deceive numbers — and data professionals have no numbers to trace. Look at sports governance. A country that wants to develop swimming needs pools, certified coaches, and proper compensation. Vietnam can do that. But what we lack most is a data system where every race and every practice is recorded and analyzed. The United States, Australia, and Japan have done this for two decades. We still accept a murky sports foundation. I accept that the deep analysis I received is a failure of data collection. It is a sign that the professional class does not yet value precision. I want readers to remember that reputation is just a name. What always remains is how you read a match, how you read each stroke and each breath — and if you have no data, you are only romanticizing effort. Stop writing 'N/A' reports. Stop praising athletes with emotion alone. Build a national database now. Because the next generation of talent can appear at any moment — but if we have no way to measure them, we will watch them disappear in silence again.