Vietnamese Swimming Is Starving for Data: When Empty Analysis Becomes 'Sports News'

Numbers never lie, but they know how to hide. And the frightening thing is not that numbers hide themselves, but that we — journalists, analysts — sit before a long text, see the phrase 'insufficient information' repeated nine times, and still publish something to fill the page. I have spent 25 years observing sport, and I have never seen an editor willing to print on the front page: 'Today, we know nothing about this match. But we will write anyway.' In reality, they print that every day — they just dress it in a layer of language called 'analysis.' The story begins with a document I received this week. An automated system 'dissected' an article about sport — specifically swimming — across nine analysis dimensions. Result: all nine dimensions returned the same repeated string: 'insufficient information, cannot assess.' No athlete was named. No performance was recorded. No split time, no stroke rate, no technical data existed in the text. What existed were nine frameworks — beautiful, balanced, complete with tables, risk levels, and recommendations. Nine frameworks produced by a flawless algorithm, but empty inside, like a pool drained after a season. 'What is this document?' — that was my first question. A technical assessment of swimming? No, it had no data. A sports news report? No, it had no facts. A market analysis? No, it had no transfer fees, no quantitative values. What was it, then? It was a product of the most dangerous habit in modern media: placing structure above truth, and repetition above verification. I sat back at my screen and opened my digital notebook — the one I have kept since the COVID-19 season, when the world closed its stadiums and I reopened the region's sports directories to search for data in silence. That notebook taught me a lesson: no league is meaningless, but also no analysis is meaningless. If an analysis says nothing, that fact — by itself — is worth analyzing. And through the lens of Vietnamese swimming, that fact speaks volumes. Why does Vietnamese swimming, a sport that has produced individuals capable of achieving at regional level, still struggle to build a sustainable data ecosystem? Why does Vietnam's sports media still write about SEA Games medals in the language of praise, rather than the language of verification? Germany in 2026 did not collapse because of luck. Their PPDA had already revealed it from the group stage. But in Vietnam, how many people are willing to calculate PPDA for a swimmer's breakthrough? How many dare to ask: did this gold medal come from true ability, or from a lucky burst of speed against a fading opponent? I have no answer. And I have no right to answer when the very document I am analyzing contains no data. Yet this emptiness leads me to one conviction: if even automated systems — tireless machines, untroubled by emotion — cannot find a single piece of information to assess, then what will a sports reporter sitting in a press conference, with a voice recorder and paper notebook, write? They will write what they see. And what they see is usually the surface: a touch at the wall, a smile on the podium, tears from the runner-up. But swimming is a sport of depth. It takes place below the surface, where the eye cannot follow. The underwater phase after the start — the first fifteen meters — can determine 30 percent of a race result, yet no spectator can observe it with the naked eye. The turns at the wall — another third of the result — are also lost in foam and bubbles. Audiences see only what floats. Data analysts must dive. Vietnam's swimming problem, from my perspective, is that we do not have enough people willing to dive. When COVID-19 closed the stadiums, I reopened the V-League directory — but I know very few did the same for swimming. When I built a data set tracking 240 footballers across five seasons, I had no idea that somewhere, a swimming training center was holding thousands of results from young athletes in forgotten Excel files. I do not know whether anyone has ever spent hours computing the equivalent of xG for a swimmer — the true probability of a performance. I do not know, because no data system makes this public. Let us run a thought experiment. If a Vietnamese swimmer suddenly breaks the national record in the 200m freestyle, two seconds faster than the old mark, how would we react? An ordinary reporter would write a praising article with a few details about the athlete's hard training. A data-literate reporter would ask three questions. One: Do the first 200m swims of the season usually appear this fast among athletes of the same age group? Two: Is the two-second improvement consistent across three consecutive races, or does it appear only once? Three: In that athlete's pacing structure, is the ratio between the first 50m and the final 50m sustainably balanced? If none of these questions can be answered, the record is just a beautiful puzzle piece lying on a board where no one knows its place. People look at the record table; I look at the curve. Many performances die before they are verified. Many talents are buried not because they are weak, but because nobody measured their progress correctly. I remember the summer of 2026, when I spent three days rewatching all of Germany's group-stage matches, computing PPDA — the number of passes an opponent is allowed to make before being pressured — for each game. I did this in a small room in Nha Trang, with the air conditioner running and cups of black coffee. What I found was not a prophecy, but a truth that already existed: Germany was not defeated by South Korea overnight. They defeated themselves by running two kilometers less per match than their peers, by allowing opponents to build play without pressure. But to see that, I needed data. And data — they are not on the television screen, nor in the stands. They are in statistics tables that few bother to look at. Extending that thought experiment to swimming: if Vietnam's national team, at an upcoming SEA Games, wins five gold medals — but core metrics such as turn times, underwater distance, and stroke-rate consistency rank at regional average — should we celebrate or should we ask questions? Fans will celebrate. Media will celebrate. But a steadfast outsider like me will not applaud too quickly. I will wait for a data-based analysis, and if that analysis is empty, I will consider that achievement only an unverified accident. A championship team is not found in money; it is found in the way time is compressed into metrics. A sport hungry for medals is not found in the enthusiasm of the crowd; it is found in the way it turns every second into measurable action. What happens when all our analysis systems — not just the document I am examining — become like a jigsaw puzzle with every piece hidden? The answer is: we create 'analyses' no better than a map without street names. It looks like a real map — with borders, rivers, colors dividing provinces — but no village is marked. It is useless for travelers, yet sold to tourists as a souvenir. And then I wonder: who buys those maps? Who consumes these 'sports analyses' that are empty of content? I believe some do so because they know no other way. They have been trained to write in the Hook-Context-Core-Contrarian-Takeaway structure, to give their articles a skeleton, but they have not been trained to give that skeleton blood. They are like a chef taught to plate food on fine porcelain but never taught to cook. The result: dishes served on expensive plates — beautiful, eye-catching — but without nutrition. And eventually, customers go to another restaurant. What is more worrying is that this phenomenon is spreading through Vietnam's sports media, especially in 'minor' sports such as swimming. Football — the king of sports — has dozens of tactical channels, dozens of experts ready to discuss formations, pressing, transitions. Swimming — a sport born of solitude, where an athlete faces only the water, the clock, and his own thoughts — is barely analyzed at all. What happens when one of our swimmers competes at the Asian level and the result is described with one phrase: 'finished the race'? Finished in what place? How many seconds below a personal best? Ranking is one truth; but the cause of that ranking is an uncharted territory no one explores. Luck is the one thing I do not have. I have probabilities and enough data. And I know a simple fact: a swimmer can win by luck, but a swimming nation can never rise on a list of lucky breaks. To advance further, we need calculation. A team does not collapse overnight. It collapses when its metrics stop connecting. Likewise, a sporting nation does not fall behind in one day; it falls silently, when no one records the numbers for comparison, when no one draws curves for contrast. And the crises of a sporting nation often begin with empty documents like this one — documents called analysis but containing nothing to analyze. I put the document down. It was nine pages long, with clear headings, dense tables, and a list of 'risks.' One risk was marked 'high' with a footnote: 'Input data incomplete; any conclusion drawn would be speculative and unreliable.' At least the document was honest enough to admit its own helplessness. That is a valuable quality, but rarely seen in newspapers. In newspapers, we usually see a 2,000-word article praising a bronze medal from a competition where only four nations took part — while forgetting that the same week, a young swimmer beat a ten-year-old national record at the national youth championship, unnoticed because youth events rarely attract coverage. I believe the future of Vietnamese swimming lies not in finding 'another Anh Vien' — isolated talents are products of randomness, and we cannot plan development on randomness. The future lies in building a synchronized data ecosystem: every athlete's performances at every meet, every distance, every phase of the season must be encoded, stored, analyzed, and published under a unified standard. We need numbers to know whether a sprinter should move to longer distances; we need numbers to determine whether an overseas training camp — costing hundreds of millions of dong — actually delivers value or is merely a disguised vacation. But that ecosystem cannot be built by managers alone, nor by reporters alone. It needs the combined effort of everyone who loves Vietnamese sport: coaches — who hold thousands of details about their athletes in their heads — must be encouraged to record and share; managers — who hold budgets — must recognize that the cost of a data-analysis division is far lower than the cost of one wrong decision; journalists — who hold the tools of media — must stop writing shallow 'analyses' and instead write analyses grounded in evidence. This is a silent revolution. It does not happen in the stands with flags and cheers. It happens in closed rooms, where people type data into spreadsheets, draw charts, calculate metrics invisible to the crowd but visible to professional quality. It is the revolution of steadfast outsiders. People often ask me how to become a good sports analyst. My answer always revolves around five words: read data, doubt everything. Do not trust what others say about an athlete; trust what numbers say about them. But do not rush to trust the numbers either; check where they came from, how they were measured, and whether they are large enough to represent a truth. And above all, remember that an answer of 'insufficient information' is always better than a wrong answer. Because an 'insufficient information' answer tells us to seek more information; while a wrong answer leads us in the opposite direction. When I closed that empty analysis document, I did not feel disappointed. I felt cautious optimism. Because the existence of such a document — even empty — shows that someone has begun to build a methodological framework. They already know that sports analysis requires structure, requires tools, requires a systematic approach. They just do not yet have the data. And data — unlike talent — can be created through patience and well-directed investment. It is time for Vietnamese sports practitioners — from managers to coaches, from athletes to journalists — to treat data as an inseparable part of development strategy. Not just performance data, but technical data, physiological data, nutritional data, training-load data, competitive psychology data. Every second we delay building that data repository is a second we swim in the dark. I will remain in Nha Trang, still following tournaments, still building my prediction models. But I hope that one day, when an automated analysis system receives a story about Vietnamese swimming, it will not return nine repetitions of 'insufficient information.' It will return numbers, analysis, insights — and those insights will help athletes swim faster, help managers decide better, and help those who love this sport understand more deeply what they are witnessing. That is the moment Vietnamese sport — and swimming in particular — begins to swim forward with intention, instead of merely surviving against the current.