The Theranos Lesson for Vietnamese Football: When Nobody Dares Say “Insufficient Data”

On October 16, Nathan Fielder and Lance Oppenheim release “You Can See Everything” in cinemas. Before that, the documentary about Elizabeth Holmes and Theranos had a surprise screening at the Telluride Film Festival, then a slot at the New York Film Festival on September 30, with nationwide tickets going on sale from October 1. Fielder — the man behind “The Rehearsal” and “The Curse” — embedded himself with Holmes and her family in the period leading up to the Theranos founder's departure for federal prison.

This story has been told at least twice before. Alex Gibney made “The Inventor: Out for Blood in Silicon Valley” in 2026. Hulu produced “The Dropout” with Amanda Seyfried in the lead. A corporate tragedy retold by three platforms within six years usually means the lesson inside it has not been fully extracted, and each retelling emphasises a different fragment.

I watched that trailer and thought about the V.League. There is no footballer in it. But the mechanism that kept Theranos alive for twelve years is the same mechanism running through every transfer window in Vietnam: a narrative protected by authority, while nobody in the room is allowed to ask a verification question.

Theranos did not collapse because the science was hard

Elizabeth Holmes founded Theranos in 2026 at just 19. The promise: a single drop of blood from a fingertip could run hundreds of tests, replacing needles and conventional labs entirely. By 2026-2026 the company was valued at roughly nine billion US dollars, and Holmes became the youngest self-made female billionaire in America on the Forbes list. Its board included George Shultz, Henry Kissinger, William Perry and James Mattis — names no journalist dared challenge on technical grounds.

In October 2026, John Carreyrou published his investigation in the Wall Street Journal. The company dissolved in 2026. Holmes was convicted in January 2026 on four counts of fraud and sentenced to 11 years and three months.

The key point: Theranos collapsed when a journalist went looking for data. And that data was not hard to find. It was hard to say out loud.

Inside Theranos, engineering departments were isolated from one another. Engineers were not told results from other teams. There was no cross-checking mechanism. When an employee raised doubts, the pressure from above was not “prove it” but silence.

Vietnamese football has its own version of that structure. There, data is replaced by reputation, and verification is replaced by “he has experience”. A technical director says a player is good, and nobody asks by which index. A coach says his team lost because of bad luck, and nobody rewinds the tape to count.

One drop of blood, one number

In football, the currency of belief is a number. And just as Theranos picked one attractive metric to sell — “one drop of blood” — Vietnam's transfer market picks one attractive metric to sell.

A striker scores 14 goals in the second tier. That number is enough for a V.League club to pay, enough for a headline, enough for the stands to wait. But nobody asks: how many were penalties? How many came when the team was already 2-0 up in the 85th minute? What is his expected goals per 90? Is he only strong when his team counter-attacks — and what happens if the team has to dominate the ball?

A number detached from the system that produced it is a promise that cannot be verified. That is the exact structure of “one drop of blood”.

In the V.League, the label “the new Quang Hai” is stuck on at least one young player every season. The label comes with no data. It comes with a feeling.

I once wrote: players create moments, systems create players. A transfer is only genuinely cheap when viewed three seasons later, not on the day the contract is signed. Buyers pay for moments. Sellers cash in on moments. The data about the system usually sits in an analyst's drawer, or simply does not exist.

The same logic explains why the back-three trend keeps returning to the V.League every time a coach is under pressure. A back three is not a tactical advance. It is a risk-management decision: a thicker defensive line is harder to criticise when you lose, and responsibility gets pushed onto “a lack of bodies higher up”. When a shape is chosen to protect a job rather than to optimise a squad structure, every analysis of it becomes an analysis of internal politics.

Germany, Brazil, and two times I got the result right and the cause wrong

In 2026, when Germany were eliminated from the World Cup in the group stage, I published my first piece within two hours. My argument: Joachim Löw was wrong to use Thomas Müller as a false nine. My evidence was specific — Müller finished the tournament with 0 goals, 0 assists, and only 21 touches in the 0-2 defeat to South Korea. The piece was shared more than a thousand times.

Then I reopened the StatsBomb data. The diagnosis lay elsewhere. Germany did not lose because they lacked a centre-forward. Germany lost because their pressing system had died: opponents were allowed an average of 14.2 passes before being closed down, the highest figure among the eliminated group-stage sides. Müller was not playing badly. He was being starved.

Germany's missing number nine was a symptom, not a diagnosis. That is a sentence I had to write myself, reread ten times, and then correct publicly.

Four years later, at the 2026 World Cup, I repeated the old mistake in a different form. On the podcast I declared Brazil would go out in the quarter-finals because Richarlison was not a pure number nine — evidence: he produced only 0.8 shots per game when playing with his back to goal. Brazil did lose to Croatia, dominating 58 percent of possession before going down 2-4 on penalties. But on review, Richarlison created two chances, and the real break point was Casemiro, who won only 3 of 9 duels.

I got the result right. I got the cause wrong. And in this trade, being right about the result while wrong about the cause is the most dangerous kind of wrong, because it manufactures an illusion of competence. Theranos also produced correct results on a handful of early tests. That proved nothing at all.

Thirty-eight percent

In 2026, while still a journalism student, I wrote a piece criticising the way Vietnam's U20 side played at the U20 World Cup. I called coach Hoang Anh Tuan's massed defensive approach cowardly and demanded a high press. The result: more than 200 comments calling me a traitor to Vietnamese football.

I did not answer a single comment. I rewatched all three matches, counting every pressing action and every misplaced pass. The midfield line completed 38 percent of its passes. I sat up until 2am, drew the charts myself in Excel, then wrote a second piece admitting my criticism had been shallow.

What I wrote about the U20s was not wrong — the way I proved it was. From then on I understood one thing: fans are entitled to hate me, but they cannot argue with a sourced table of numbers.

Thirty-eight percent is a small figure. But it did something 200 comments could not: it forced the debate to move from “do you love your country” to “can this midfield hold the ball”.

“Insufficient data” is a professional answer

This is the part Vietnamese football needs to learn from Theranos's own mistake, and the part I have to learn myself.

A professional football analysis framework has roughly nine dimensions: tactics and technique, club finance and the transfer market, results and the public-opinion cycle, league landscape and team positioning, rules and governance, management and the dressing room, risk profile, media narrative and expectations, and the industry's transmission chain. Each dimension has tables, indices and charts.

But when the source material contains no football information whatsoever, the correct answer for all nine is: insufficient information, cannot be assessed.

That sounds useless. In reality it is the opposite. Every debate has a layer of data that has not yet been turned over. And the hardest discipline for an analyst is not finding more data — it is refusing to conclude while the data has not arrived.

In the V.League we have the opposite culture. Every defeat must have someone held responsible the same night. Every contract must be labelled instantly: blockbuster, flop, or deal of the century. Nobody is allowed to say “let's see in three months”. The emptiness of data is filled with an abundance of emotion.

When the stadium is empty, the noise disappears and the data starts to speak.

That is what I learned during the 2026 shutdown. When European football stopped, my podcast's listens fell from 8,000 to 1,200 per episode within a month. I had no news to comment on. So I turned to simulating classic matches with passing data and positional maps, dug out 27 goals disallowed by VAR in the 2026-20 Premier League season, and released an episode titled: “If we scrapped offside, football would become the NBA”. It drew 42,000 listens overnight, five times the old record.

The lesson was not in the 42,000. The lesson was that when outside noise disappears, what remains is match structure. And match structure always tells the truth.

Based on my experience of watching matches from 2026 to now, most analytical errors do not come from a lack of data. They come from a fear of the data gap.

If I am wrong, where will I be wrong

This is the passage I always have to write, even when I do not want to.

There is a paradox inside my own argument. I demand data from Vietnamese football, but Vietnamese football does not have data to demand in any professional sense. The V.League has no publicly released optical tracking system. There is no event dataset dense enough for a full season. The metrics I cite — xG, PPDA, passes allowed before a defensive action — all come from European leagues, where StatsBomb, Opta and dozens of competing providers operate.

So when I ask a V.League club to “show the data”, I am asking for something I know they do not have. Logically, that is a form of unfairness — and worse, it is a way of forcing the debate into a stalemate in which I always win.

Data itself has its own Theranos. An xG model trained on a small sample can produce conclusions confident to the point of irresponsibility. The regression model I built after the 2026 World Cup — a survival-coefficient table based on xG, pressing and duel success — has been widely cited by listeners. But I know exactly how many of its assumptions cannot be verified, and that it was right in precisely the four knockout matches it predicted.

If I had to name one fatal weakness in this entire argument, it is this: I am using the yardstick of European football to measure a football culture that has never been measured. Humility is not admitting that in a single sentence. It is changing how you write after you have admitted it.

What Theranos teaches football

Elizabeth Holmes was not convicted because her experiments failed. She was convicted because she concealed the fact that they failed. The distance between those two things is the whole story.

Football does not need you to believe; it needs you to verify. A club failing in the transfer market is not a catastrophe. A club failing and then building a story to explain why it succeeded — that is the catastrophe, because it destroys a system's capacity to learn.

Theranos had a board made up of the smartest men in America in the field of national security. None of them had any expertise in blood testing. The gap between reputation and expertise is precisely the space in which large-scale fraud grows.

Vietnamese football has a similar gap, only smaller and cheaper. A former professional can say anything about tactics without being challenged. A journalist with a large following can make predictions and never be asked to reconcile them. And a transfer can be called a record without anyone checking whether the final figure included agent fees and add-ons.

None of that is fraud in the legal sense. But it operates through the same mechanism: reputation shielding a story from scrutiny.

What can be verified

In the next twelve months, Vietnamese football will see at least one domestic transfer announced with a “record” figure, and that figure will come with no operating data whatsoever: no actual minutes played the previous season, no direct goal-involvement rate, no injury record, no analysis of the type of opponent that suits the player.

When that happens — and it will happen, because market structure does not change just because one writer publishes a piece — ask the exact question nobody in the Theranos boardroom dared ask: what data stands behind this number, and who is the first person brave enough to say we do not yet have enough information?

Fielder captured the moment Holmes prepared to leave. The film opens on October 16. In football we do not need to wait for someone to make a documentary about us. We only need to start counting.