A Martial-Arts Analysis Made of Nothing But 'N/A' – A Lesson in Data Discipline for Vietnamese Sports

I have an old habit: before I write a single word, I read the note on the first page of my notebook. The note was written in 2026, when I was following a lower-league football club in Chiang Mai: “Never fill a blank space with imagination.” This morning, in the middle of a noisy transfer window, I received a deeply researched analysis that was more than ten pages long. It had no fight, no fighter, no revenue figure, no winning percentage. Every assessment section simply said N/A. If I were younger and chasing breaking news, I would have thrown it into the bin and treated it as a technical failure. But I am no longer young. I kept reading. The document is called Stage-2 Deep Analysis – Combat Sports / Martial Arts Domain. The author hid nothing. At the very start, they said there was no content to examine. Fighting style was unidentified. The ruleset was unclear. The fighter had no age, no weight, no record. No organization was named. Revenue, broadcast rights, prize money, sponsorship — all missing. Many young journalists would look at that conclusion table and feel embarrassed, because a newsroom needed an article within the hour. They could pick a famous fighter’s name, invent a matchup, attach a counterfighting narrative and call it deep analysis. I have been in this trade long enough to know how strong that temptation is. Pressure from algorithms, from advertising, from the expectations of fans always pushes writers toward clear conclusions. A piece with a definitive statement is easier to share than one that says we do not have enough data yet. But this analysis did the opposite. It placed every answer into one single box: N/A. It refused to guess. It refused to manufacture a false spectacle to hide the fact that the initial information-extraction stage was empty. The whole two-stage process resembles a match. The first stage is supposed to gather information points: fighter names, opponents, statistics, deals, risks. The second stage examines those points from many angles. When the first layer is empty, the second layer declines to work. That sounds odd because a lot of modern sports media runs on speed. People want match predictions, risk rankings, and numbers to attach their emotion to. Rarely does anyone say we do not know. The principle I repeat to colleagues is the sentence that has stayed with me since the 2026 World Cup: numbers do not lie; people choose numbers to lie to themselves. The same figure can be used by one person to prove good form and by another to justify defeat. Without real numbers, a writer has only two choices: silence or fabrication. This document chose silence. That did not make it worthless; rather, it raised an even bigger question: how many sports articles are published every day that actually contain nothing inside? Looking at the Vietnamese sports market, I see a clear paradox. We have a lot of content but very little verified data. A kick, a punch, or a football move can easily become a legend when told with decorative language. Fans have no filter. They do not know where the numbers they read were selected, or how many times they were recycled. In that context, an analysis full of N/A becomes a mirror. It shows the difference between a journalist and a content producer: a journalist is willing to leave a blank when the data is missing; a content producer finds any way to fill the empty space. I have a contrarian view. When I see a long analysis full of conclusions in a noisy transfer window, I usually feel suspicious. I suspect numbers were chosen to fit a pre-existing story. I suspect predictions are too smooth. On the other hand, when I read a document saying no conclusion is possible because the input data is missing, I feel safer. A writer’s silence, placed in the right spot, is a form of evidence. It proves that person is not willing to trade professional reputation for a few clicks. This analysis also taught me something about dealing with risk. When there is no injury information, no fight record, and no organizational context, the correct answer is not a star rating. The correct answer is to refuse to rate. If a system insists on analyzing an object that does not exist, it will create an illusion. Then that illusion enters articles and becomes a signed piece of gossip. The more automated the system, the easier it is to forget that every number must be backed by a verifiable event. I still keep a memory from my days in Chiang Mai. During the pandemic, when the season was suspended, many journalists left the profession. I stayed, opened my old notebooks, and compared the financial crises of Thai football clubs across more than two decades. I found a small detail: before a club came close to bankruptcy, a main striker usually started selling his house. Not everyone noticed that. If I had only written about hot news, I would have missed it. So when a colleague asked why I read an N/A document to the end, I answered: I spent three years taking notes. The real story of this club only begins on page 400. A blank page is not frightening. What is frightening is the instinct to fill it with fabricated numbers. I see that every day, in hurried articles, in vague comments, in statistical tables without a source. Vietnamese sports writers today need to learn how to say this phrase: the data is not sufficient. Insufficient data is not a failure. It is the line between a journalist and a storyteller for sale. The analysis ends with a series of warnings. The author reminds us that if an automated process receives an empty input, it may generate fight narratives, fighter assessments, and market judgments that do not exist. The author recommends not circulating the result while the extraction layer is still empty. That advice sounds obvious, but it is valuable in an era when everyone wants to publish first. I read the final lines and asked myself: if every sports newsroom had such a strict internal filter, would readers still be overwhelmed by groundless transfer rumours? The 2026 World Cup taught me to keep data like a vow: to remember, not to show off. Data should be used as a tool to protect the truth, not as a layer of paint to decorate a story lacking evidence. Looking at this N/A analysis, I do not see a broken product. I see a standard. When the match has not happened, when the fighter has not signed, and when the number has not been verified, a writer must accept living beside an empty space. That empty space is where the truth sits and waits. Only the patient will see it.