Empty Report: When Chess Analysis Without Data Becomes a Media Accident

I just received a seven-page chess analysis. No player name. No tournament name. No single move. Every page was clean, polite, and empty.

Some would say, “At least it doesn't fabricate data. Emptiness is honesty.” I disagree. This emptiness is not honesty; it is an industrial accident. Like an empty stadium with the scoreboard still on: something feels like it is happening, but there is no actual game to discuss.

Sports analysis is now running on a two-layer model. One layer extracts content: player names, events, results. The next layer uses that data to analyze tactics, evaluate players, forecast risk. When the first layer returns a blank page, the correct reaction is to stop. But what usually happens is that people write, “There is not enough data to confirm risk.” That sounds cautious, but it is actually a way to hide a system failure.

I lived through days without video, without chess engines, without ratings. I still remember the day I mispronounced a player's name in a World Cup opener, then stayed up all night rewatching footage to understand why that team won. The difference between a sports journalist and a summarizing machine is that I can say “I don't know” and start searching. Machines are often not allowed to say that, so they produce fluent sentences to fill the void.

In chess, that is especially dangerous. Chess is a sport of small numbers: one insignificant-looking move can change the whole game. If there is no game data, no PGN, no player names, then every comment about “an unpredictable position” is just creative writing. Readers think they are hearing tactical analysis, but in fact they are hearing a machine tell itself a story.

Let me emphasize what I believe is the core of modern sports journalism: an empty analysis must never be disguised as a safe one. When the extraction layer finds nothing, the only right thing to do is go back to the beginning. Not because the system is weak, but because sport is a field where pretending to be certain is worse than saying you do not know.

I have watched press conferences where male journalists laughed at women's questions. I have also watched analysis machines create tactical diagrams from wrongly extracted data. In both cases, the enemy is not humans or machines; it is the reluctance to admit a gap. A good reporter is not afraid to say, “I was wrong. I need to rewatch the video.” A good analysis system must also be allowed to say, “I have no data. Do not put me on the front page.”

The question I ask is not like a woman's, but the answer they avoid is not like a man's. Likewise, when I ask an analysis system, “Is this match real?”, it answers with a seven-page Word document. That makes me doubt, not the quality of the chess, but the news production process. When a news factory has no raw material, its output is not news. It is an empty box painted with the color of analysis.

I might be wrong. Perhaps this report is only a test, a way to see if the system is brave enough to say “Not enough information.” If so, the system failed the test in a subtle way: it never decisively said, “Not enough information.” It repeated seven times that assessment was impossible, yet it still produced a complete structured document. That creates an illusion of reliability. Hasty readers may not realize they just read an article with zero sporting facts.

I remember the empty stadium that year: I found the tactical sheet lying under a seat instead of hearing the roar of the crowd. Fans can disappear, but the match still leaves traces on video, on scoresheets, on every move. When even those traces are missing, a writer has two choices: stay silent and wait for data, or invent a story. I choose silence, but I have seen too many articles choose the other path.

In chess, a player can never make two moves at once. The same should be true in sports journalism: never say “No data” and then offer a conclusion. If an analysis is long but has no match name, no player name, no single move, then it is not worth publishing. It is only worth putting in the trash and restarting the system.

People often ask me why, at my age, I still follow junior chess tournaments and record every five-hour game. The reason is simple: data does not appear from a keyboard. It comes from human beings sitting at the board, sweat falling onto the clock. If I do not observe the game, I have no right to analyze it. An empty report reminds me that my industry is moving too fast for its ability to verify.

I am not writing this to criticize any specific system. I am writing to warn against a habit: turning a lack of information into a cautious statement. In sport, “No evidence yet” is not the same as “No risk.” A player who has never lost to an opponent is not invincible. A system that cannot find match data does not mean the match did not exist.

What I want to emphasize is this: no data is a result, not an error to hide. That result demands we stop. Stopping does not reduce the value of technology; it only reminds us that technology still needs human beings brave enough to press “cancel” when the input is empty.

I have been wrong many times in my career. I mispronounced a player's name and later read the game correctly when the slow-motion replay appeared before me. I was laughed at when I made a contrarian prediction. But I have never written an analysis while knowing I had no data to analyze. Doing so is not caution; it is betrayal of the reader.

The seven-page report is still on my desk. I will not use it as a source for any article. I will call the data engineer and say: your system produced a very beautiful piece of prose, but it contains no chess game. Run it again.

Perhaps one day artificial intelligence will be smart enough to know that silence is also an answer. But until then, we still need human beings willing to say, “I do not know, I need more data.” I am 60 years old. I have spent 44 years watching sport. I know an empty analysis when I see one. And it is not worth publishing.