Empty Data, Full Question: Why 'No Information' Is the Biggest Story in Indian Athletics Reporting

On a June morning at the NIS (National Institute of Sports) campus in Patiala, I first realised that athletics stories are often not where the results are. At the 2026 Federation Cup, Neeraj Chopra's javelin flew, cameras turned toward him, and I took my notebook and headed to an akhada in Panipat where teenage boys throw bamboo javelins at dawn. There was no scoreboard there. But that was where the real story began. That day I understood that when data is empty, reading that emptiness is journalism itself.

This feels even sharper today. Recently, an analytics report landed in my hands titled 'Stage-2 Deep Analysis.' It had nine sections, each with tables, risk matrices, athlete-conditioning checklists. But every cell said the same word: N/A. No athlete name, no event, no performance figure, no source, no date. This report was not about athletics; it was about athletics reporting. And that is the subject of this entire piece.

Context: The history of empty space in athletics is old

The lack of information in Indian athletics is nothing new. In 2026, when the Tokyo Olympics were postponed, the calendar literally emptied. No Federation Cup, the National Games already pushed to 2026, SAI Patiala locked down, and empty stadiums on every screen. At that time, I put my energy into an old file nobody wanted to read — the 2026 doping bans involving six women athletes, some members of the 2026 'Golden Girls' relay team. CAS (Court of Arbitration for Sport) awards, AFI (Athletics Federation of India) selection lists, and a database of 214 athletes' sports-quota employers — I built all of this in a year when the fields were empty.

It is no coincidence that when the calendar is empty, old files open. In athletics, the absence of information is of two kinds. One is born of administrative indifference — no minutes of the selection committee meeting, no public physiotherapist report, no trial date known to anyone before the newspaper. The other is born of technical failure — like this analytics report, where the domain label 'athletics' was filled in, but everything else was blank. The first is an old disease; the second is a new crisis, and it is a lesson for an industry that is now increasingly dependent on AI and data pipelines.

Core analysis: Do not read 'no information' as 'no risk'

The most striking thing about that report was not that it had nothing. The most striking thing was that it did not call itself 'low risk.' Every cell in the risk matrix was N/A, and below it clearly said: 'The rating is withheld because no risk surface was ever defined.' This nuance matters greatly. In athletics, the most dangerous failure is exactly this — mistaking absence of evidence for evidence of absence.

I have seen this failure many times in my career. In 2026, after the Gold Coast Commonwealth Games, I had to fight the newsroom to cover the World U20 Championships in Tampere. At that time, every hand was wanted for night shifts at the FIFA World Cup in Russia. I filed Hima Das's 400m gold (51.46 seconds) from a borrowed press seat and wrote the live blog until 4 a.m. That experience taught me that the story is not where everyone is looking; the story is where no one is looking.

Now return to this analytics report. It had nine sections — performance analysis, athlete condition, competition structure, domestic landscape, rules and anti-doping, training system, risk, public narrative, and industry transmission. Each section expected at least three conclusions and two 'hidden information' items. This is the pressure of the template. When input is empty, the template forces you to fabricate. And that is the biggest danger: an AI pipeline that writes 'low risk' on empty data breaks trust in athletics journalism the same way the 2026 doping cases did.

One more thing was recorded in the report that I would repeat for my readers: the domain label 'athletics' was correctly filled, but all content fields were empty. This usually indicates a parsing failure, not a genuinely empty article. That is, the article that was supposed to be analysed got lost somewhere — in scraping, transcription, or at some turn of the pipeline. And when the article itself is lost, drawing any conclusion about it, whether positive or negative, is wrong.

Contrarian angle: In athletics, 'lack of data' was never technical, it was political

Here I will say something unpopular. The lack of information in Indian athletics has never been merely a technical problem. When the date of a selection trial is not known three days in advance, when a federation has an athlete's fitness information and the media does not, when asking for a copy of the 2026 doping decisions gets the reply 'the file is missing' — this is not information management, it is weaponisation of information.

I have a database of 214 athletes' sports-quota employers — Railways, Services, state police, PSUs. I built this database because I wanted to understand what the real 'contract' is in Indian athletics. There is no league here, no transfer window, no franchise. The real profession here is a job — a posting, a pension, a promotion. And this information is not public. When you read an athlete's performance in the context of their job and pension, the meaning of 'failure' changes.

Similarly, the story of the javelin belt is not a story of 'culture.' The akhada in Panipat, the geography of Haryana-Punjab-western UP, imported biomechanics — this is a production line. And access to this line — who gets the foreign coach, who gets the SAI slot, who gets the lakhs in cash awards — is the real story that the federation wants to bury by calling it 'culture.' When you do not have data on this access, you lose the most essential part of the story.

And this is where that analytics report matters. It says: 'Source quality was not assessed, so an unverified social media post and an official federation release currently look the same.' This sentence is the essence of the entire media problem in Indian athletics. We often do not even have the mechanism to distinguish between the two.

Takeaway: Next time data looks empty, treat it as the story

I have made a rule in my career — to stay one extra day at every meet. That extra day in Patiala took me to Panipat. That extra day in Tampere gave me Hima Das's story. In 2026, that extra time took me to the 2026 files.

Now I will give the same advice to data-driven athletics reporting. When a report, a pipeline, or a federation tells you 'no information available,' do not treat it as a blank. Treat it as a question. Ask: Where did the article go? Who was the source? What was the date? Why is there no athlete name? And most importantly — is this emptiness accidental or managed?

Indian athletics must get used to this question. Because the day we move forward treating empty data as 'low risk,' we will have closed our own eyes. And in athletics, running with your eyes closed is the oldest mistake.