The Empty Data File and the Three Information Layers of Formula 1 Analysis

On a Tuesday morning at 10:12, I reopened the TRANSITION_DB_v14 folder on my external drive. Inside were 61 spreadsheets — 14,802 rows coding every transition phase of Formula 1 teams across seven seasons. The 62nd sheet, the one I opened that morning, was completely empty. The column headers were all there: race, lap, driver, transition code, braking distance, exit angle. The content was nothing.

I stared at it for about twenty minutes, then called the person who sent it. He said the system had finished running, there was no error, and an empty sheet was a valid result. I asked a second time and got the same answer. What I held was a technically correct and substantively meaningless analysis. It did not lie. It simply said nothing at all.

My job in London is to rebuild a race into a verifiable structure. It sounds grand; it is mostly tedious. For every race I pull lap-time data, cut it into segments, and label each braking phase, each rear-wing activation, each corner entry. Then I draw. Not for show. Every tactical diagram starts as a shaky hand-drawn line in PowerPoint, and that line only has value when underneath it sits a number I have personally recounted a second time.

The TRANSITION_CODE sheet was born in the summer of 2026, when grandstands were closed and I had six months to do nothing but rewatch footage. I colour-coded each type of transition: green for corner exits under traction, red for late braking followed by lost momentum, amber for direction changes while still short of full throttle. I carried this method over from football. Back in Vietnam I measured corner radius, braking points and exit angles on a pitch; now I measure the same three things on a racetrack. The geometry of space is not a metaphor. It is the name of an operation: turn space into numbers, then check whether those numbers hold up after a second reading.

A race, once disassembled for analysis, rests on three layers of information. The first layer is what teams and organisers publish — press releases, official timings, stewards' documents. The second layer is what can be observed on track: lap data, speed at measurement points, pit-stop duration, track temperature. The third layer is inference, where I try to guess what an engineer was thinking when choosing a moment for a decision. Everyone has the first layer. The second takes time. The third only has value when the two below it are full.

The 62nd sheet was empty on all three layers. What made me sit back was not the sheet itself, but how closely it resembled most of the Formula 1 content I read daily.

So I started counting. Over three weeks I saved 214 articles about the driver-transfer market from sports outlets in both English and Vietnamese. For each, I marked which layers it contained. The result: 187 articles had only the first layer. Twenty-two had the second as well. Five reached the third.

First-layer transfer writing looks like this: Team X is considering Driver Y. It has a source, someone said it, and it is verifiable in the sense that the sentence really was spoken. But it carries no unit of data. No lap time, no teammate correlation, no contract analysis, no resource allocation. The reader receives an event that has happened — somebody made a statement — rather than information about the probability of an outcome.

The interesting part is that the second layer is already sitting in public documents; few bother to pick it up. Since the 2026 season, cost-cap rules have forced every team to operate under a spending ceiling, and the aerodynamic testing restriction allocates wind-tunnel time by the previous season's standings — the last-placed team gets the most development time, the champion the least. This is hard, published data, and it says a great deal about whether a team can improve. An article about a midfield team's future that never mentions wind-tunnel allocation is like a weather report without a temperature.

A more concrete example. The 2026 season marks the biggest regulatory change in more than a decade: a new power unit splitting output between the internal combustion engine and the electrical component, sustainable fuels, a smaller and lighter chassis, active aerodynamics at both front and rear wings, and the removal of a familiar energy-recovery component. These changes were announced long ago and come with full technical documents. With a reset this large, the old competitive order no longer predicts the new one. Everyone knows that. But knowing it and measuring it are two different jobs.

This is where I return to my central principle: every claim must come with two verifications. The first is the source. The second is an independent cross-check — different data, measured from another direction, produced by someone else. A transfer rumour without that second verification is still news, but it stands only on the first layer. I am not saying it is false. I am saying it is not yet enough to analyse.

Most Formula 1 content is produced on the first layer and read as if it were on the third. The gap between those two layers is the space fans fill with emotion, and that is why wrong predictions are never traced. People remember the feeling of excitement while reading, not the accuracy rate of what they read.

Transition is not a stretch of running. It is the silence between two intentions that few can read. In a pit phase, that silence sits between the engineer's answer on the radio and the actual movement on the steering wheel. In an overtake, it sits between the moment the rival brakes and the moment the chasing driver decides to stay on the throttle. Without lap data, without braking points, without a speed delta at a measurement point, these silences become nothing more than places for a writer to put adjectives.

Three years ago, when the season was interrupted, I wrote that when there is no football, I draw football. And it turned out that drawing is also a way of understanding. That conclusion still holds, but only half of it does. Drawing is also a way of understanding — provided you have something to draw. When the data file is empty, the line does not become a hypothesis. It becomes decoration.

My blind spot in this story is not on the reporters' side. It is on mine. In July 2026 I wrote a prediction piece for a World Cup quarter-final in Russia, based on possession share and distance covered. It drew more than four thousand reads and enough feedback to force me to change how I worked: I could not explain why the opponent generated so many dangerous counter-attacks. I lacked transition data. I did not lack opinions. I lacked numbers.

That lesson leads to a paradox I have to live with. An analysis that declares its own limits is often read as weak. An analysis that speaks with absolute certainty and cites nothing is usually shared more widely. If I published the 62nd sheet with exactly what it contains — nothing — most readers would call it useless. If I filled it with plausible-sounding inference, it would become readable, and possibly wrong. The second option is rewarded with page views. The first is rewarded by my still knowing where I stand.

The summer of 2026 taught me that a gap is never empty; it is only waiting for the right reader. But that sentence has limits too. Some gaps really are empty, and admitting it is a professional act, not a surrender. Telling those two kinds of gap apart is the entire difference between an analyst and a storyteller.

Since then I apply three rules. An empty sheet must be displayed as an empty sheet rather than hidden by merging it into another. Every article must carry a note on what could not be measured. And every prediction must leave a trace for later cross-checking, even when that trace makes me look worse.

The opening round of the 2026 season will be the first test of this whole method. I will redraw each team's wind-tunnel allocation, place it beside the first qualifying result, and measure the distance between those two columns. If the distance is small, the public data was enough and I was reading too slowly. If the distance is large, there is another layer I have not yet touched. Both outcomes are information. The only thing that is not information is a beautiful analysis with nothing underneath.