After the Final Touch: The Data Gap in Vietnamese Women's Swimming

That night in Nha Trang, I sat alone in a small studio, the screen replaying footage of a women's 200-metre freestyle race. The clock on the pool wall flashed a number, then stopped. I rewound slowly, paused at the final turn, and realised what had kept me awake: in the report I was about to write, I had a finishing time, a swimmer's name, a medal. I did not have the stroke count per minute. I did not have the underwater time after the start. I did not have breathing rhythm, distance per stroke, or 50-metre splits. I had a result, and almost nothing with which to understand it.

For many years in this profession, I have written countless reports that open with a time mark. Readers are used to it. They see 2:08.32, they know who won and who came second, then they nod and scroll on. But if someone asked me: why did she win? Was her stroke shorter or longer than her rival's? Did she swim faster in the first 50 metres or the last 50? How many hundredths of a second did her turn consume? — I would fall silent. Not because I do not want to answer. But because I have no data with which to answer.

That is what I want to say in this piece. Vietnamese swimming, and women's swimming in particular, is producing empty analyses — not because writers are lazy, but because the data system does not exist.

I began my career at twenty-one, at a print newsroom, as a swimming reporter. Back then, every time I covered a meet, I held a printed results sheet. The sheet listed names, teams, times, and sometimes a personal best. That was all. Nothing else. I went back to the newsroom, wrote fifteen lines, and the article ran. If I was lucky, I added one quote from a coach. That was the entire analytical content Vietnamese readers received for decades.

Technology has changed a great deal. High-speed cameras, electronic timing systems, motion-analysis software — all of it exists in the world. But at most domestic meets, what reaches the reporter's hands is still the results sheet. We have the means to film, but not the process to measure. We have viewers, but no recorders. The gap between what we see and what we understand remains, and has even widened, because audiences grow sharper while the data stands still.

A swimming race, seen with the naked eye, is a straight line. Seen through data, it is a sequence of decisions. The start and the underwater phase that follows decide a substantial share of the result in short events. Every turn is a chance to lose or gain hundredths of a second. Stroke rate and distance per stroke are opposing quantities: raise the rate and lose the distance, keep the distance and lose the rate, and the winner is whoever finds the best balance for each segment of the race. Without data, it is impossible to know who did that.

Try to picture what a proper analysis requires. For each swimmer, we need: reaction time at the start; underwater time before surfacing; split times for each 50 metres; stroke count in each split; average stroke rate per minute; distance per stroke; the time and number of kicks at each turn; and the closing speed over the final metres. It is not a long list, and what is striking is that it does not demand expensive technology. It demands one person sitting by the pool, pressing a stopwatch, and recording patiently.

In many countries, this recording is part of the competition. A group of trained volunteers sits at each lane, noting stroke counts and lap times. The data is entered into a computer, exported as an analysis table, and reaches both coaches and reporters. In Vietnam, that hardly exists at national level. So when I write about a feat, I can only speak of the feat, not explain it. I praise the result and leave the cause blank, unwittingly turning sport into a story of miracles rather than a story that can be learned from.

Vietnamese women's swimming has an obvious model to examine: Nguyen Thi Anh Vien. She is Vietnam's most successful swimmer at the SEA Games, with a medal collection stretching across several editions, along with appearances on the Olympic stage. But try to remember: during her peak years, how many analyses explained why she won at one distance and not another? How many explained the difference between her medley and freestyle events using stroke counts and split times? Very few. For the most part, we simply counted medals.

Counting medals has its value. It recognises achievement, and achievement deserves recognition. But it does not help the next generation. What will a fifteen-year-old training at a provincial pool learn from a gold medal? She learns that she must try hard. She does not learn that in the 200 metres, one should hold a steady stroke rate through the first two splits and then increase towards the end. She does not learn how many tenths of a second a flip turn saves compared with an open turn. That knowledge lives in data, and the data is not collected.

This is the point I want to stress: the data gap is not a minor technical problem. It is a problem for an entire sport, because it severs the flow of knowledge between generations. A swimming nation without data will forever depend on exceptional individuals appearing at random, rather than building a system that produces them sustainably.

In Southeast Asia, swimming is an event that delivers many medals to delegations. Each SEA Games, the medal table of the strong delegations is often decided in part at the pool. Because of this, the pressure for results in this sport is enormous, and that pressure tends to fall on female athletes, who are expected to carry the targets. But the pressure for results does not automatically create knowledge. You can win one edition thanks to a talented athlete, then lose everything the next time because no one understands why you won.

This leads me to a question I have always carried with me in the stands: where are the women? Not on the medal table — there they are very present. But in the data tables, in the technical seminars, in the analytical writing. There, they are almost absent, because the stage on which they are absent was never built. Without data on women's swimming, there is no analysis of women's swimming. And without analysis, people easily attribute female athletes' achievements to emotion, instinct, or luck — rather than to technique and competitive intelligence.

I think of the voices from the locker room. For years, I sat in the corridors of arenas, listening to female athletes talk about early-morning sessions, about technical changes no one outside ever saw. They spoke very concretely: this week I reduced my stroke count, next week I raised my rate, my shoulder hurt after I changed my turn. That is data; it was simply never recorded as data. Behind the locker-room door, there are stories that have never been told — and many of them, properly documented, would serve an entire generation.

There is a counter-intuitive way to view this. Many people believe Vietnam's swimming problem is a lack of funding. I do not entirely believe that. The cost of collecting basic data — one person with a stopwatch, one notebook, one spreadsheet — is tiny compared with the cost of a foreign training camp. The problem lies elsewhere: we invest in results, not in process. We pay for medals, not for understanding why medals happen.

This has a market cause. Swimming is only truly noticed in Vietnam for a few days during a Games. Sponsors chase the moment of coronation, not the data table. The media is the same. A deep analysis of stroke rate may draw only a few thousand reads, while a piece about a medal may draw hundreds of thousands. That disparity creates a spiral: the fewer people read analysis, the fewer write it, the fewer demand data. The result is a swimming culture rich in emotion but poor in understanding.

Someone will object: emotion matters too, and a medal inspires thousands of children to come to the pool. I agree. I have seen it. But inspiration without knowledge leads those children to a pool and then abandons them there with a coach who also lacks the data to teach them better. Inspiration opens the door; data keeps people in the room.

Let me describe the analysis I long to write. Suppose in a women's 200-metre freestyle final, swimmer A beats swimmer B. A good analysis would show: A's reaction was two hundredths slower, but A swam further underwater and surfaced later, reclaiming the advantage in the first fifteen metres. In the second split, A held a lower stroke rate but a longer distance per stroke, saving energy. B raised the rate in the third split, closing the gap, but by the fourth split B's rate dropped while A's held. The result was decided in the final twenty-five metres, not across the whole race. That is a story, and it is also a lesson.

Such an analysis would change coaching. A coach would know where a pupil is weak: in the start, in the turn, or in the ability to hold rhythm at the end of a race. They would train the right thing instead of training everything equally. It would also change storytelling. Reporters would no longer need clichés like "with extraordinary will" or "with an unyielding determination", because they would have something concrete to say. Specificity is always more credible than rhetoric.

Comparison within the region is worth noting. Countries with developed swimming cultures usually have recording systems from the youth level. They track athletes from childhood, preserve results year by year, and use that data to decide who receives investment. In Vietnam, much of that data exists but is scattered in coaches' notebooks, undigitised, unshared, and lost when the coach retires. We lose our own memory.

There is something I got wrong for many years. I once thought my task was to narrate beautifully, movingly. I once believed emotion was what readers needed most. Later I realised that emotion without foundation is merely a form of entertainment, and entertainment fades very quickly. An article can make someone cry for three minutes, but a data table can make someone understand for thirty years. I have not abandoned emotion. I have simply placed it on a firmer foundation.

Of course, there are practical obstacles. Not every meet has someone free enough to sit and record. Not every coach wants to share internal data. Not every newsroom wants to invest in a low-read category. I understand all that, and I do not want to paint an idealised picture in which change is easy. But I believe lasting change usually begins with the smallest things, done consistently, without noise.

One notebook for stroke counts. One volunteer at each lane. One rule that competition results must include split times. One article brave enough to say "I do not know why" instead of filling the space with fine phrases. These things do not need billions; they need patience and a little discipline. And they can begin at the very next Games.

I think of the female athletes I have interviewed over the years. They rarely ask to be praised. They ask to be understood. One athlete once told me that what she wanted most after a defeat was not consolation, but an honest explanation of where she lost. She wanted an analysis. We were unable to give her one.

When the audience is gone, we truly listen to the athlete. When there are no medals left to count, we truly understand the race. Perhaps by then, empty analyses will have no place, and Vietnamese women's swimming will no longer depend on the luck of exceptional individuals, but on a foundation of knowledge built across generations. That is what I want to be writing in ten years, and I am ready to start with the smallest notebook.