The Nine Empty Columns of Vietnamese Athletics

The spreadsheet I reopened on the morning of August 11, 2026 has nine columns, and all nine are empty. Column one reads “Mark”. Column two reads “Wind”. Column three reads “Altitude above sea level”. Column four reads “Qualification mechanism”. Column five reads “Personal-best series”. Column six reads “Training model”. Column seven reads “Testing record”. Column eight reads “Risk”. Column nine reads “National strength”. I built this file for six Vietnamese track-and-field athletes entering the final stretch of preparation for the 2026 Asian Games in Aichi-Nagoya, which opens on September 19, 2026. After two weeks of work, I have filled in none of the cells. My job is not to read numbers. My job is to identify which numbers do not yet exist, and why they do not exist. To someone who keeps a record book, an empty file carries as much weight as a national record. Vietnamese athletics entered August 2026 with a familiar paradox. SEA Games 33, held in Thailand in December 2026, had just closed, the 2026 Asian Games are almost upon us, and provincial sports centres are racing to finalise their rosters. This is also the period the athletics world calls the internal transfer window — no commissions, no international agents, but the true mechanics of a market: provinces competing to retain or re-sign athletes with nutrition programmes, university places and medal bonuses. The names that define this period are well known. Nguyễn Thị Oanh of Bắc Giang, with her trio of events at 1,500m, 3,000m steeplechase and 5,000m. Nguyễn Thị Huyền at 400m hurdles and 400m. Bùi Thị Thu Thảo in the long jump. Lê Tú Chinh at 100m and 200m. Nguyễn Văn Lai over the longer distances and the marathon. But when I open each athlete's file, I run into exactly one problem: the public data is not enough to build a model. There is no results table with a wind reading attached to every competition, no split data at middle and long distances, no official season-by-season list of races entered. Newspapers publish marks, but those marks come wrapped in emotion more often than in measurement conditions. Before I believe in a reputation, I need to see the data behind it. The analytical framework I use has nine dimensions. The first is performance and competition conditions. A result means something only when it comes with at least three variables: wind, altitude and equipment specification. In sprint and jump events, the maximum legal wind reading is +2.0 metres per second; beyond that, a mark is not recognised as a record. At venues above 1,000 metres of altitude, thinner air helps drive times down. Carbon-plated shoes must be assessed against World Athletics equipment rules, which cap sole thickness at 40mm for road shoes and 20mm for track spikes. Unless these equipment dividends are subtracted, any comparison between two seasons is a false comparison. In Vietnam, most competitions are staged close to sea level, so the altitude variable is usually zero. That is helpful for longitudinal comparison. The wind variable, however, is almost entirely absent from published data. A 100m run in a thunderstorm at Mỹ Đình Stadium and a 100m run in a still morning cannot sit in the same column. The second dimension is athlete condition. The most important tool here is the year-by-year personal-best curve. A steadily improving athlete draws a gentle slope. When that line suddenly goes vertical — a jump roughly three times the historical annual gain — it is a signal worth checking, not yet a verdict. At the same time, the peak window depends on the event: sprinters typically peak between 24 and 29, middle- and long-distance runners between 26 and 31, and throwers between 28 and 33. Without a date of birth and a multi-season results series, I cannot place an athlete on that curve. Nguyễn Thị Oanh moves past 30 in this cycle. So does Bùi Thị Thu Thảo. That is the age band in which every season must be read as a series of probabilities, not a series of events. The third dimension is competition structure and the qualification mechanism. World athletics runs on two doors: hitting a qualifying standard, or accumulating ranking points. In several countries these two doors eliminate each other with cruelty — the United States selection model awards places at major championships through a single meet, where a world champion can miss the team by finishing fourth. Add the cap of three athletes per country per event, and fourth place in a strong nation becomes the most painful position in the sport. Vietnam chooses a different path: finalising a centralised squad after the national championships. The advantage is stability; the disadvantage is that all the pressure collapses into a single week of competition, and any error of weather, of a semi-final scheduled at the same hour, or of health becomes an error of the entire four-year cycle. The fourth dimension is the event landscape and national strength comparison. To classify an event as single-ruler dominance, a two-horse race or a wide-open melee, I need the season's top-ten marks and the world lead. The sport's power map is fairly stable: Jamaica and the United States dominate the sprints, Kenya and Ethiopia control the distances, the United States has field-event depth, the throws belong to Europe, and China is strong in race walking and in women's throwing events. Vietnam's position lies in the middle distances, in the jumps and in regional women's speed. But that is background knowledge, not an analytical finding — because I have no results list to compare against. The fifth dimension is rules and testing. This is the dimension where emptiness is most dangerous. Athlete biological passports, whereabouts obligations, the ten-year storage of samples for retrospective testing and the reallocation of medals are all real and operating instruments. But when the input contains no incident, no allegation and no anomalous index, the returned result is “not assessed”, not “cleared”. I worship data, but I pray with real-world verification. The sixth dimension is the team and coaching system. Vietnam operates a state-centred model through the national sports training centre system, plus provincial centres. Kenya runs an altitude-camp model, where hundreds of athletes train together on a red-dirt circuit. Jamaica runs a school system, where the high-school championships are the real selection stage. Each model produces a different kind of athlete and a different kind of risk. To assess the quality of a specific athlete's training system, I need to know where they train, under whom, and in which group. None of those three pieces of information appeared in any public report I read over the past two weeks. The seventh dimension is the risk map. Performance risk, testing risk, schedule risk, injury risk, key-personnel risk. None of these can be scored while the nine columns above remain empty. That is the point at which I am compelled to write what analysts seldom write: with what is available, I can issue no verdict on these six athletes. Numbers never lie. They only wait for someone sober enough to listen. Someone reading this will conclude that I am dodging the work. But the greatest error in this profession is treating an empty cell as a tick. An index that does not exist is not an index of zero. A testing case that does not appear in a file does not mean there is no testing risk — it only means I have not been permitted to see it. In athletics, where a mark can be re-examined ten years later, the difference between “clean” and “not assessed” is the difference between a conclusion and a blank. Others will say the internal transfer window has been lively this year, that one province has just retained a national-team member, that another has just signed a young talent, and that those deals will produce medals. I do not dispute the facts. I dispute the inference. Transfers do not create champions; they relocate champions from one place to another. The capacity to create champions lives in the talent pipeline, in coach quality, in the age at which training begins, in the density of youth competition. Those are the variables that never appear in transfer reporting, and they are precisely the variables that decide medals in Aichi-Nagoya. A season should be read as a series of probabilities, not a series of events. The work that needs doing is specific and not especially expensive. Every official meet should publish a minimum data box: the mark, the wind reading, temperature, humidity, equipment specification and, for events of 800m and above, split data by lap. Every national-team athlete should have a public profile page listing date of birth, coach, season-by-season personal-best series and registered competition schedule. Those three measures, combined, are enough to turn nine empty columns into nine verifiable ones. At that point, fans will no longer have to believe numbers passed along by word of mouth. They will be able to check for themselves. And the signal I am waiting for in the next cycle is simple: the first time a national athletics meet publishes a wind reading for the 100m and 200m. On that day, I will know my spreadsheet has begun to have a trade. Until then, I will keep opening the nine-column file every morning and typing a single line into the notes cell: not enough data for a verdict.