Athletics and the Empty File: Why an Analysis That Returns No Verdict Is More Dangerous Than an Accusation

Last week, I opened an athletics file sent over by a long-standing source. Its structure was flawless: header rows listing the meet name, a date column, an event column, a result column, a weather-condition column. Every field sat exactly where a standard record should have it. But when I scrolled down, beneath each heading was blank space. No athlete name. No metric. No source. No publication date.

I often ask: where did this money come from, and what did it do along the way? Translated into athletics, that question becomes: where did this number come from, how many verification loops did it pass through, and which conclusion did it settle on. A record with no numbers answers none of those questions. The strangest thing is never the error itself, but the way people try to explain it away.

Over more than twelve years observing this industry, I have learned a principle that seems self-evident but is rarely followed: when the input is empty, the only honest output is the sentence "insufficient information to assess." Not a guilty verdict. Not an innocent one either. Just a silence that must be marked, never filled with speculation. Athletics — where every hundredth of a second carries value and every medal reallocation comes with a file hundreds of pages long — is where this principle is violated most often.

The sport has entered a phase where data is no longer a supporting tool but the spine of every professional judgment. No meet, from national level to the Olympic Games, is staged without electronic timing systems, wind sensors, and verification software clearing results before publication. In parallel, the back-room analytical layer — the part audiences never see — is where a result is decided to hold or fall.

That layer rests on three pillars: validating the legitimacy of a mark (wind, altitude, equipment), cross-referencing an athlete's multi-year progression, and tracing contracts, training funds and relationships between the athlete and coaches or doctors. If any link in these three pillars is missing, the entire chain of conclusions behind it loses its value. This is why I always demand three independent data sources before touching the keyboard.

The problem lies elsewhere: intermediaries — sponsors, organisers, sometimes even federations — have very clear incentives to keep those links blank. A record missing data cannot be refuted. It asserts nothing, so it is accused of nothing. This is the cheapest and most effective form of defence in the entire system.

Dissecting a standard athletics file, nine layers must be checked before any conclusion can be drawn.

The first layer is the event and the performance. A number only means something when accompanied by the specific event, the wind reading, the venue altitude and a comparison benchmark. Without those four things, any comparison to a world record or a qualifying standard is organised fabrication. This is the most common blind spot: the public sees a metric but never sees the conditions that produced it.

The second layer is athlete condition. The most important indicator here is not a personal best but the year-by-year progression curve. An athlete improving one to two percent each season is normal. Someone leaping three times the historical annual gain in a single year is a signal that belongs on the examination table, alongside the full competition calendar and injury history. The strongest warning flag I use is two consecutive seasons of withdrawal from competition — it often travels with things never recorded in any public file.

The third layer is competition structure and the qualification mechanism. Athletics runs on two doors: hitting a qualifying standard, or accumulating world ranking points. The existence of two doors creates tactical grey zones, where an athlete picks meets for points rather than for competition. More dangerous are selection systems of the one-race-decides-everything kind, where a global champion can still miss the biggest stage. The cap of three athletes per country per event creates another layer of pressure: the fourth-place finisher at a domestic trial may be stronger than a medallist from another country, yet still stays home.

The fourth layer is the event landscape and national balance of power. To classify a discipline as single-ruler dominance, a two-horse race, a wide-open melee or a generational transition, you need at minimum the season's top-ten mark list. The standard power map of world athletics has held for years: Jamaica and the United States dominate the sprints, Kenya and Ethiopia control the distances, the United States has field-event depth, Europe is strong in the throws, China stands out in race walking and women's throws. Su Bingtian's 9.83-second Asian record, or the steady competitive cycle of women's shot putter Gong Lijiao, are familiar reference points. But that is background knowledge, not a finding from any specific file.

The fifth layer is rules and anti-doping. This is the most sensitive layer, and the one most easily misread. An athlete's biological passport, whereabouts-filing failures, ten-year sample storage allowing medal reallocation, and associations with previously sanctioned coaches or doctors — all are input variables. With no variables, no test runs.

Emptiness of data must not be read as cleanliness of a file. Those are two different states, and conflating them is the most serious error in sports analysis.

The sixth layer is the team and training system. Development models here vary widely: the state-run professional-team model, the NCAA collegiate model, the East African altitude pipeline, Jamaica's school-based system. Each produces its own risk profile, and none can be assessed without knowing where an athlete came from.

The seventh layer is the overall risk landscape, where competitive, doping, operational and legal risks are ranked by probability and impact. Without inputs, this table is just an empty frame.

Two further layers sit behind these, concerning immigration data and an athlete's legal record. They are usually skipped in public analyses, even though they are where the largest discrepancies in age, nationality and transfer value are exposed.

Here I must state plainly something the analytical world rarely admits. An empty file, in most cases, is genuinely empty. Not every blank space is concealment. Some local meets were never digitised, some young athletes lack a multi-year data series, and some data is lost for entirely harmless technical reasons. Assigning a dark motive to every blank is a fallacy, and it destroys a practitioner's credibility faster than any numerical error.

The real pressure lies elsewhere. Sports media runs on traffic, and traffic comes from stories with conclusions. A piece concluding "insufficient data to assess" will not be shared. A piece concluding "doping suspicion" will be shared thousands of times, even when the evidence is a single blank cell. This is the structural incentive that keeps grey zones permanently filled with guesswork. I was once asked to write about a case whose only source was an anonymous message with no documents attached. I refused. Three months later the story collapsed publicly, and the writer lost access to his best source for good.

The only defence I know is to turn emptiness into a publishable result. Rather than staying silent or speculating, state clearly: which dimension lacks which input, what needs to be added, and who holds the missing data. That puts responsibility back where it belongs. Safety is not about never being caught, but about never leaving a trace. A file that leaves no data trace is the hardest kind to verify, and showing exactly how hard it is to verify is itself a conclusion.

The outcome of the file I opened last week was this. After cross-checking three independent sources, I determined most of the blanks came from a synchronisation fault between the timing system and the results software, not from deliberate concealment. But two items could not be recovered at all: the wind reading of one sprint run, and the coach's identity for one young athlete. Those two, I recorded plainly in the report as unverified, along with the names of the bodies to contact for completion.

People told me I was exaggerating; I told them to wait a few more years. As athletics digitises ever more deeply, the number of records that are structurally complete but hollow inside will only grow. The question is no longer how many athletes cheat, but how many files are designed never to answer that question. All I do is connect the dots — and count how many people are deliberately drawing them wrong.