Empty Data Cells: When Athletics Reads “Unknown” as “No Risk”

On the results board of a domestic athletics meet, there are always empty cells that never get filled. Not because the athletes did not run, but because no one measured in time. I once sat near the technical area of a youth meet in Hai Phong, watching officials write times by hand into a notebook and then re-enter them into a computer more than an hour later. No one called that delay a failure. It was just a gap — and in that gap, people often write, on the athlete's behalf, things she never said.

I thought of this when I read a recent athletics analysis. The report had all nine sections, all the tables, all the risk checkboxes. But every cell was left blank, every line read “insufficient information”. A hurried reader would skim it and think: ah, no problem here. A table full of the words “insufficient information” is saying the opposite. It says we know nothing at all — and that is a warning, not a reassurance.

The report described itself as a “process exception record”. It had been built to analyse an athletics article, but the first step — the extraction of information — had failed. No athlete names, no discipline, no marks, no dates. Only one label survived: “athletics”. And yet the report still had all nine sections, still had its tables. That is precisely the trap.

Context

In Vietnam, most athletics coverage stops at the result. Who won, what the time was, whether the record fell. The analytical layer behind it — why that time can or cannot be trusted — barely exists. I have read hundreds of reports that say only “athlete X won gold with a mark of Y”, without a single line on wind, track surface, or competition conditions. Readers get a result, but not a way to read the result.

When the analytical layer is this thin, the arrival of a nine-part report creates a false sense of safety. It looks professional. It has terminology. It has a risk table. But a beautiful frame does not produce content. A table with every cell present does not mean the cells have been answered. In the sports-data field, this is called an “extraction gap” — when a system correctly identifies the domain but fails to retrieve a single piece of information.

The worrying part is not the error itself. The worrying part is how people respond to it. Faced with a gap, there are two choices. One is to go back and measure properly. The other is to fill the gap with something that sounds plausible. The second is cheaper, faster, and more dangerous. In newsrooms, deadline pressure always pushes the writer toward the second choice.

Core analysis

Athletics is a sport where data can be distorted in very subtle ways, and only insiders notice. A mark does not speak for ability on its own; it speaks for the conditions that produced it. To read a number correctly, an analyst must set it beside four variables: wind, altitude, racing shoes, and position within the season.

Wind is the most ignored variable. Under World Athletics rules, a sprint or long-jump mark can only be ratified as a record when the tailwind does not exceed 2.0 metres per second. A 2.1 m/s gust is enough to turn a beautiful result into a number that cannot be placed on any comparison table. Yet in daily reporting, almost no one mentions the wind figure. Fans see only the time, and believe the time is the truth.

Altitude is the same. At stadiums above 1,000 metres above sea level, thinner air gives short sprints and long jumps a natural advantage. An athlete may set a lifetime personal best simply by competing at a favourable altitude, then never repeat it at sea level. Without an explicit altitude note, readers will mistake that for a leap in ability.

Then there are the shoes. Footwear with carbon plates and supercritical foam has changed the baseline of road and track marks over more than a decade. They are not cheating. They are legal. But they create an “equipment dividend” that, if not subtracted, leads analysts to misjudge the athlete. A national record broken in a new-generation shoe does not say the same thing as one broken in ordinary shoes.

Based on my experience following regional and international athletics meets, the most common mistake is not fabricating numbers. The most common mistake is reading a number without asking under what conditions it was produced. And when the data source is entirely empty — as in the report I read — every conclusion becomes guesswork. No personal best, no season's best, no world record to compare against, no qualifying standard, no dates. Nothing to hold on to.

That report stated plainly what many reports hide: it could not analyse. All nine of its sections returned “insufficient information”. For a writer without conviction, that is where the danger begins. Because an empty frame always invites people to fill it. It invites them with its very completeness — every cell waits for an answer, and a plausible answer is always easier to write than a hard-to-verify truth.

In athletics, that hard-to-verify truth usually involves the two quietest systems: the athlete biological passport and the whereabouts obligation. The biological passport tracks blood and steroid markers over years to detect anomalies a single test cannot see. The whereabouts obligation requires elite athletes to report their location every day, and three missed filings within twelve months constitute a violation. These are data zones where, if information is missing, no one is permitted to conclude “clean”. Missing anti-doping data means unverified, never exonerated.

And this is the point I want to linger on longest. A risk checklist with every cell reading “insufficient information” can be read as “no risk”. Those two statements are worlds apart. The first says: we do not yet know. The second says: we checked and found it safe. It takes only one hurried reader, one time-pressed editor, one automated system tagging the file “processed”, for the gap to become reassurance. And false reassurance is always more expensive than real doubt.

There is one more aspect the report admitted it had missed: timing. In athletics, the value of a piece of information can change entirely just because it appears at the right moment. An entry list is published, a selection deadline passes, a qualifying standard is tightened — each such event turns a small item into breaking news. Ignoring timing means ignoring the ability to judge the true weight of the very story you are telling.

Contrarian angle

Here is the counterintuitive part: in sports analysis, the most frightening thing is not a wrong report, but a report that is right in form and empty in substance. A wrong report still invites suspicion. A report with a full frame invites belief. And that belief is built on nothing.

Sports, and women's sports in particular, suffer most from this confusion. Data on women athletes is already thinner. Fewer matches are filmed, fewer metrics are collected, fewer in-depth analyses are written. When already-scarce data is filled with guesswork, people report inaccurately, and worse, they rewrite a woman's life with details she never lived. She does not need a medal to prove she has won — and she does not need a fabricated report to prove she is fine.

I once saw a small case that was enough to remember. After a domestic meet, a summary circulated with full figures: recovery intervals, training volume, recovery indices. The problem was that no one had measured any of it. It was inferred from a short conversation and filled into the blanks. No one deliberately lied. But the result was identical to a lie.

There is a reason I am sensitive to this. Years ago, a biography contract of mine collapsed in the middle of the pandemic. Every competition stopped, the partner withdrew, and I sat before a blank page full of empty cells. I could have filled them with stories that sounded good. I did not. When the contract collapsed, the dream did not collapse with it — it only changed its route. I went back to recording what was actually there: a training session, a glance, a silence before the starting line.

Takeaway

So, with that empty report, the thing to do is to return to the source and extract again. The “athletics” label was assigned correctly, meaning the data pipeline still worked in part; only the content-retrieval step failed. That is a fixable error, not yet a verdict.

But one thing should be kept, even after the fix: the habit of leaving a cell empty when there is no data. In a sports culture that always wants an immediate conclusion, the patience to say “we do not yet know” is a form of courage. Women's sports do not need to be rescued, they need to be recognised — and recognition begins with measuring properly and recording fully, rather than writing quickly.

The ball rolled across destiny, and I chose to stand still and watch it. To stand still, in my work, means accepting that some cells will remain empty until someone patient enough returns to fill them. An athlete deserves to be measured, not invented. And sometimes, the most respectful thing you can do for a person is to admit you know nothing about her — and only then begin to find out.