When the Swimming Data Sheet Is Empty: A Lesson in the Analyst's Honesty

One August morning, I opened an analysis file a young colleague had sent over. Every cell in it was empty. The athlete-name column was blank. The distance column was blank. The technical-metrics column, the times, the record comparisons — all white space. At the bottom of the page sat a single line in small type: “Insufficient information to reach a conclusion.” I read that line three times. In sixteen years on the job, I had read thousands of analyses. But this was the first time I had seen a young analyst dare to submit an empty report rather than stuff it with a few numbers to fill the page. Out there, social media was boiling. An international swimming meet had just closed, and everyone had a conclusion ready. Some said the era of men's freestyle had changed hands. Others declared Asian swimming had reached its peak. Others crowned a nineteen-year-old as “the heir.” All of them were very certain. All of them were very fast. The report in my hand, meanwhile, was empty. And precisely because it was empty, it was honest. On my office wall I keep a line pinned up: “Numbers don't lie, but they know how to hide something.” It took that morning for me to fully grasp the second half of the sentence. Numbers know how to hide something — but when there are no numbers at all, the only honest thing is to admit the emptiness. A spreadsheet with no data is not a bad spreadsheet. It is a spreadsheet telling the truth. The context of sports analysis today is nothing like it was ten years ago. We live in an age of data overflow. Every major swim meet — from the Olympics to the world championships — releases millions of data points: split times, reaction times off the blocks, stroke rate per minute, distance per stroke, underwater turn time, closing speed. There is no shortage of data. What is scarce is the clarity to read it. I began my career at a newsroom as a swimming reporter, then drifted into sports-betting analysis. The two trades seem far apart, but they share one thing: both are tempted by the fast conclusion. A sports writer needs a striking headline. A betting analyst needs a decisive call. And both easily forget that, sometimes, decisiveness is just a coat of paint over laziness. The Paris 2026 Olympics were a fine example. In the water, people witnessed historic performances. Léon Marchand — a French swimmer — won four individual gold medals on home soil. Pan Zhanle swam the 100-meter freestyle in 46.40 seconds, breaking the world record. Summer McIntosh, only seventeen, brought home three gold medals. Katie Ledecky reached nine Olympic gold medals in her career. Each of those numbers is enough to make a headline. But that is not analysis. That is raw material. And raw material, if not prepared correctly, can produce poisonous dishes. In swimming, I always split an athlete's data into three layers. The first layer is absolute positioning: where that time stands against the world record, against the all-time list, against the season's rankings. The second layer is pacing structure: how the swimmer went out and came home, whether the turn kept the momentum, whether the finish faded. The third layer is sustainability: where this result came from, whether it can repeat, or whether it was a single perfect night. All three layers matter equally. But newcomers usually see only the first — the big number, the beautiful number, the number that shocks. They forget that a world record can be swum in two very different ways: one that confirms durable strength, and one that displays momentary speed. From the outside, these two ways look identical, because both print the same number on the scoreboard. That is where the second and third layers become a shield. Splitting the pace by each 50 meters reveals whether a swimmer sprinted from the start or saved energy. Reaction time off the blocks and underwater turn time show whether the win came from technique or from raw fitness. And when we place those metrics side by side across many races, we begin to see a trend line — something a single night can never show. I call it the discipline of the third layer. And it is the same discipline behind that empty report. The principle I teach new colleagues is simple. When the data is insufficient, the right answer is not a plausible-sounding guess. The right answer is a short sentence: insufficient information. Those words are not surrender. They are a conclusion — a conclusion that the boundary of the knowable has been reached, and that crossing it means stepping into the territory of fabrication. Every goal is a data point, but not every data point is a goal. In swimming it is the same: every touch of the wall is a number, but not every number carries a story long enough to tell. An honest analyst can tell the difference between the data and the story he writes onto it. This is where I want to linger, because it runs against the common reflex. In recent years, the sports-analysis industry has fallen into a kind of data intoxication. Everyone wants to cite a metric. Everyone wants to draw a chart. But the more data there is, the more opportunities there are to bend the truth. A selectively chosen number can prove almost any argument. People call it analysis, but really it is makeup. The paradox lies here: the more we drown in data, the more dogmatic we become. We start to believe that with enough figures we can explain everything. We forget that swimming — like every sport — has a part that cannot be quantified. The nerve of an athlete in lane four of a final. The weight of a nation's expectations on the shoulders of a seventeen-year-old girl. Those things are not in the spreadsheet. And a good analyst must say so, rather than assigning them a number for convenience. Correlation is not causation. That is the mantra I repeat to myself every time I look at a table of figures. An athlete changes a training program, then breaks a personal record — we badly want to believe the new program was the cause. But it may simply be the natural maturation of the body, or a small tweak in turn technique. The data shows us that two events happened at once. It does not automatically tell us which one was the cause. And this is where I remember the summer of 2026 in Saigon. I was twenty-three, new to the job, and lost a sum of money by following emotional advice. Angry, I sat down and built a tracking sheet by hand. I found a team vastly outperforming its expected model. I wrote a warning that the number was unsustainable, and readers cursed me to my face. Then, a few rounds later, that team went completely silent, exactly as predicted. That Saigon summer, I learned that data also needs watering — it needs time, patience, and repeated verification. Since then, I have set a rule for myself: never write that an athlete is “in great form” without at least one specific number attached. And conversely, never use a single number to conclude an entire career. A number is a testimony, not a verdict. That is also why I kept the empty report. I did not delete it. I printed it, clipped it into my notebook, to remind myself that honesty sometimes looks like a blank page. When football stopped moving because of the pandemic, I spent months archiving data from thousands of old matches. Football stopped moving, but 2,400 matches still whispered in my spreadsheet. I learned that old data is never old. It is only waiting for the right question. And the right question, in many cases, turns out to be a question about absence — what is missing, what has not been said, what has been forgotten in the intoxication of dazzling numbers. In swimming, that absence often lies in the distances rarely discussed. The media loves the speed lanes: 50 meters, 100 meters freestyle, where everything is decided in a few dozen seconds and records can fall at any moment. But the essence of the sport lies in the longer distances — 800 meters, 1,500 meters — where pacing strategy, the ability to hold rhythm, and the nerve to endure truly speak. That is where my years of watching show me things the record book does not tell. I once sat through hundreds of races by a young swimmer, just to answer one question: was he fast because his technique had improved, or only because his body was growing? Those two possibilities produce two entirely different futures. If it is technique, he still has room to go far. If it is only the body growing, then when the growth curve stops, the results will stop with it. Looking at the scoreboard, you cannot tell the two apart. You have to look at each stroke, each turn, each breath before you begin to see a clue. That is slow work. And in an age that loves speed, slow work is an act of resistance. In the transfer market, when everything revolves around inflated figures, I have learned to read structure instead of glory. A contract is not just a fee. It is a release clause, a wage bill, a string of termination dates. Those details do not make the front page, but they are what determines the true value of a deal. And this is where emotion becomes the most expensive thing on the transfer market. A club buys a player because he just scored a beautiful goal on television, not because his data is durable across seasons. Emotion prices. Emotion sells. Emotion buys. Swimming has something similar. An athlete shines at one meet, and is immediately packaged as a phenomenon. Brands call. Media call. But if we step back and test the durability of that result across months and meets, we may see a different picture. Sometimes that different picture is not happy at all. But it is true. I do not believe in the coldness of data. I believe in the clarity of the person reading it. Data has no will. It does not choose a story for itself. It is the analyst who chooses the story, and it is precisely at that moment of choice that professional ethics are tested. Which number do we highlight? Which do we ignore? Do we state clearly that we are missing information, or do we fill the gap with a guess that sounds clever? My young colleague chose the first way. He left blank the cells he did not know. And he wrote the words that many in the trade are afraid to write: insufficient information. I think that is the sign of an analyst coming of age. Because to say “I know,” we need only a little knowledge. But to say “I don't know,” we need something far harder: confidence. So what about the future? I believe the sports analysts who survive the next decade will not be those with the most data. Everyone has data. They will be those who can tell signal from noise, who know when to conclude and when to stay silent. In a world where machines can generate endless analysis in seconds, human value lies elsewhere: in the ability to say what data cannot say, and in the courage to admit one's own limits. The empty report in my hand is not a failure. It is a mirror. And sometimes the most honest mirror is a page with nothing written on it. This summer, as everyone races to make predictions about the upcoming swim meets, I keep my old habit: open the spreadsheet, place the cursor in the first cell, and ask myself — how much of this do I truly know? The answer, as usual, is not in the number. It is in whether I dare to name the missing part.