The Data Void of Vietnamese Swimming

It was finals night, and I was sitting in the press area above stand A. The electronic scoreboard flickered. The starting signal sounded. The water was torn into eight lanes, then everything settled into applause. A young athlete had just finished the 200m individual medley with the best time of his very short career. The newsroom messaged: we need a post-race analysis for the morning edition.

I opened the results file the organisers had just sent. Eight names, all there. Rankings, all there. Final times, all there. Behind them was a blank field: no 50m splits, no reaction time off the blocks, no stroke rate, no distance per stroke, no slow-motion data from the turns.

Outside, the stands were still loud. Inside my machine, I had an empty file and an assignment.

In 2026, I started at a sports desk covering swimming. Back then we recorded times in pencil on paper, copied them into a computer, then phoned the timekeepers to confirm. An article about a race needed three numbers: time, placing, record. Now that everything can be measured, the empty file asks a harder question: when there is nothing to measure, what is an analyst supposed to do?

Context: a decade lit by one name

Vietnamese swimming over the past decade or so has been bound tightly to Nguyen Thi Anh Vien, born in 2026 in Can Tho. She was the rare case where an entire sport poured its resources into one individual, and that individual answered with real milestones. At the 2026 SEA Games in Singapore she won eight gold medals, a feat Vietnamese swimming had never seen. At the Rio 2026 Olympics she reached the semifinal of the 400m individual medley, the first such milestone for a Vietnamese swimmer at an Olympics.

Around her was another generation: Nguyen Huy Hoang in the distance freestyle events, Hoang Quy Phuoc in butterfly and backstroke, along with many other faces who have won medals at various SEA Games. But what I want to talk about is not the medal count.

What I want to talk about is this: we know very clearly how fast Anh Vien swam, yet we know very little about how she swam that fast. At major international meets, automatic timing systems record every hundredth of a second, every 50m segment, every reaction time. At many domestic meets, that system does not exist, or exists but is never exploited. We have the final result, missing the entire process that produced it.

That gap is not an administrative matter. It is a professional one. A swimming nation that wants to produce the next generation must be able to answer why its predecessors swam fast, not merely record that they did. Otherwise, every new talent starts from zero, and every start from zero is a bet on luck.

To talk about technique, I need numbers nobody recorded

Back to that night's results file. To analyse a start, I need reaction time and the breakout distance in the first metre. Both columns are blank. To discuss the underwater phase after the start and after each turn, I need metres travelled underwater, kick count, and the moment of surfacing. Also blank.

To discuss swimming efficiency, I need two things that always travel together: stroke rate and distance per stroke. These two indices tell me whether an athlete accelerates by stroking faster or by swimming longer, and at which segment that trade-off occurs. Without them, any comment on technique is just description by eye. And the human eye, as I have learned over many years, is the worst measuring device in the arena.

That is why I wrote this line in my notebook: data is only a pile of dry bones; it needs context to become blood and muscle. But when even the pile of dry bones is missing, context has nothing to hold on to.

In the 200m individual medley, splits matter more than in any other event. Four strokes, four 50m segments, each a separate problem of energy distribution. A swimmer can win on the butterfly leg, hold position on the backstroke, decide it on the breaststroke, and close with freestyle. Without splits, I do not know where he won, where he lost, or which segment produced that personal best.

Someone will say: then watch the video. I did. But a single fixed camera, not synchronised with the electronic timing, gives me the order of finish, not the time of each segment. I can count his kicks on screen, but I cannot know how many hundredths of a second each kick lasted. Counting by eye without a time marker is a very polite way of fooling yourself.

Splits tell the story that a final time does not

In swimming, the final time is a conclusion. Splits are the argument leading to that conclusion. A swimmer covering 200m in the same time can take two completely different routes: blasting the first half and trying to hold, or holding the first half and blasting the second. Those two routes say opposite things about fitness, tactics, and competitive psychology.

That is why the pandemic season taught me a lesson I still repeat: data knows how to lie, but it does not know how to forget. A wrong number, read without context, can lead me astray for years. But a number that was never recorded simply disappears, and there is no way to get it back. That is the worst kind of loss, because it is silent.

At international meets, I have used split data to reconstruct the story of a race whose final result looked simple. With enough splits, I saw that the winner had actually lost two of the four segments. Without splits, I see only the winner. The same race, two levels of understanding, and the distance between them is the distance between an analysis and a news brief.

The world map: a question with no coordinates

When I want to place a performance in its proper position, I need three coordinates: the world record, the all-time list, and the current-season ranking. For that night's young swimmer, I had the third coordinate only vaguely, and the first two not at all.

A personal best only means something when you know where it sits on the map. The same time, set beside Asia's leading group, is a step forward; set beside the world's leading group, it is a gap. Without a map, every compliment is empty and every criticism reckless.

In swimming, the era factor matters just as much. World records are affected by swimsuit regulations across periods, and by pool surface, depth, and water temperature. A time swum in a 50m pool differs from one in a 25m pool, both in turn technique and in pacing. When the results file does not state the pool type, I do not even know what I am comparing to what.

The competition system and selection mechanism

Another question the empty file cannot answer: where does this meet sit in the cycle? Is it a development meet, a selection meet, or a peak-performance meet? The same time, read in those three contexts, yields three different conclusions.

For Vietnamese swimming, international selection standards are usually tied to the world federation's A and B cuts. An athlete meeting the B standard can attend the Olympics, but the B and A cuts are a very long way apart in meaning. If I do not know which cut that night's athlete reached, I cannot say where he stands on his career path.

At domestic level, meet density is another variable. An athlete swimming many events in one meet, or many meets in one season, shows signs of decline different from one focusing on a single event. Those signs only appear when you have load data over time. Without it, we are back to guesswork.

Risk: a matrix with no box to fill

My work for years has been to look at an athlete's body and find hidden risks. In swimming, injury risk differs from football. The shoulder is the joint bearing the greatest load, especially in butterfly and freestyle. The lower back takes pressure in butterfly. The knee takes force in the breaststroke kick. Over years, those regions produce predictable injury patterns.

But to predict, I need injury history, training volume, and competition intensity. That night's results file had none of it. I know a 200m individual medley swimmer loads the shoulder, back, and knee at once, because he swims four strokes. But I do not know how many hours a week he trains, what injuries he has had, or where he sits in his training cycle.

That is exactly when I recall the lesson of 2026. I predicted that Nguyen Van Quyet would miss only two weeks with a thigh injury, and in fact he missed two months with a torn semitendinosus. I had misread a public medical report, and I paid for it with three months reviewing injury footage to rebuild my own database. I still write this line and still find it true: I once thought I was right; Van Quyet taught me that the body does not need my agreement.

The contrarian angle: the temptation to fill the void

In this profession, an empty data file is not only a technical problem. It is a temptation.

The newsroom needs copy. Readers need stories. And between those two needs, a writer is easily pulled toward filling the blank with whatever sounds plausible. A young athlete setting a personal best must have a story about willpower. A slow turn must have a technical explanation. Every blank comes with a ready-made explanation that sounds convincing, and none of them has evidence.

I have fallen into that trap on a larger scale. At the 2026 World Cup, I spent two weeks reviewing hundreds of injury situations to determine whether high-intensity pressing increased risk. I wrote three articles with three contradictory conclusions, and my editor could barely publish them. It was a textbook execution failure: too curious to stop digging, too analytical to close.

But looking back, I was right about one thing. I did not invent a conclusion just to have an article. I chose to say the data was not enough to assert anything. That sentence does not sell, but it is honest. And in swimming, where every hundredth of a second matters, honesty with data is the first condition for saying anything at all.

There is a line I keep in my notebook, written years ago: some injuries are not in the tendons and muscles, but in the way we look. That night, I realised it holds true even for cases with no injury at all. The problem was not in the athlete's body. The problem was in the way we look, and in the fact that we lack enough data to look correctly.

What matters is not the empty file

If this stopped at complaining about an empty file, it would be worthless. The empty file is only a symptom. What needs discussing is the system that produced it.

Vietnamese swimming has spent a decade relying on one exceptional talent. As that decade closes, the biggest question is not who will be next, but whether we will retain the lessons of the one who came before. If each generation starts again without the previous generation's data, then every new talent is a new gamble, and every success is a stroke of luck rather than something repeatable.

This is not swimming's story alone. In any sport, a nation truly matures when it knows how to turn results into knowledge. A result belongs to one person, on one day. Knowledge belongs to an entire system, across many years. Vietnamese swimming has had many results. What remains is to turn them into knowledge, before the memories of them fade along with the people who produced them.

I closed my laptop. Outside, the stands had emptied. The scoreboard was off. Those numbers from that night, except a few final ones, will no longer exist anywhere.

One thing I have learned after twenty-four years: the greatest value of an analysis is not the conclusion it reaches, but the unknown it points out. A conclusion can be wrong. But a gap pointed out in the right place forces others to fill it with real data, not with belief.

And if Vietnam's next generation of swimmers wants to surpass the milestones already set, the first thing we need is not a new talent. The first thing is to build a system decent enough to record how that talent swims, so that ten years later, those who come after do not have to start again from an empty file.