The Unbroken Chain of Evidence: Blockchain's Lesson for Cricket Analytics

I opened the report on a Monday morning, just as London rain tapped against the window glass. Fifteen years of video scouting, more years still of watching cricket, and seven years of writing fifteen hundred words every Monday — and I had never seen a document like this. Row after row, cell after cell, all stopped at the same sentence: "N/A — insufficient information, cannot assess." A report titled "deep analysis," every cell of it blank. The analyst had filed the report, but there was no analysis inside. What had happened? The first stage of extraction from the source — what I call Stage-1 — had returned nothing. And standing on that nothing, the second stage refused to manufacture a lie. That is the real story here: a broken pipeline, and the largest crisis in cricket analysis hiding inside it. Modern cricket analysis is not the work of a single mind. It is a supply chain. Someone watches a match, takes up the scorebook, draws the bowling chart, notes how the pitch behaves, records the field placements. Then those raw observations enter a database — I call them "information points." Each point is an atom: a ball, a run, a decision, a date, a venue. Then at the second stage an analyst sits down and joins those atoms into meaning. There is a golden rule in this chain, one I have followed since the first issue of my newsletter: every conclusion must be traced back to at least one information point. No decision without evidence. The blockchain world calls this provenance — the unbroken certificate of origin. Just as a transaction carries its history block by block, a cricket conclusion should carry the chain of its information points. The number is not just a number; behind it there must be a date, a ground, a format. But what if the very first link of the chain is missing? Then the second stage faces two paths. One: admit, "I do not know." Two: fill the empty space with imagination. The human analyst often takes the second path, because the first is professionally unprofitable. And large language models — which today write much of cricket content — are born with a tendency to fill gaps. An empty cell is a summons to them: "Place a plausible-sounding number here." From that is born the most dangerous product of all: the confident lie. An error in a single information point never stays alone. In cricket analysis a wrong number gives birth to a decision, that decision shapes a selection, that selection changes a match's result, and that result builds the next season's narrative. Just as a record transfer fee shakes an entire market and its tremors never settle for years, a wrong data point keeps trembling across many seasons. I have seen the blame of a wrong average leave its mark on a career assessment years later. Let me be clear about why this crisis cuts sharper in cricket. The three major formats — Test, ODI, T20 — are really three different games. In Test cricket time is endless, so patience and strategic depth are the capital; across five days the rhythm shifts, the ball ages, session by session the arithmetic changes. In ODIs the middle overs and the risk of the last ten overs settle everything. In T20 every ball is a separate decision, where a single over can turn a match. Place one format's number into another and the analysis grows as confident as it grows wrong. Consider an example. A player's average, strike rate, or bowling economy — these are mere numbers. A number becomes meaningful only when three questions sit beside it: in which format? in what situation? on how large a sample? If someone takes two wickets from a twenty-ball sample, that is not performance, only possibility. And if the home pitch favours spin, the record there can mask a weakness abroad. It is in these small traps that analysis stumbles. My long experience tells me there are three great sources of bad analysis. First, mistaking a small sample for a large truth. Second, mixing formats. Third, mistaking luck for skill — the toss, the dew, the rain, Duckworth-Lewis, the light. These three errors never show plainly; instead they wrap themselves in a clean blanket of statistics, as if no doubt could exist. The same applies to umpiring controversies. When a storm rises over a DRS decision, the real question is not whether the ball pitched in line. The real question is where that decision's information points are stored, who verified them, and on what date. Without a chain of evidence, debate turns into mere emotion. Now let me return to that empty report. Had the second-stage analyst wished, he could easily have woven a tidy narrative — an imagined match, an imagined performance, a confident conclusion. The reader would never have noticed, because the story would have sounded flawless. But he did not. In every cell he wrote: "insufficient information." That sentence is the most honest line of the day. Because an empty input is itself information. If the first stage returns nothing, it means something went wrong at the source — either the piece was locked behind a paywall, or the parser failed to capture the body, or the source genuinely held no meaningful data. In every case the correct response is one: go back and redo the extraction. Gather the evidence before drawing the conclusion. Here an uncomfortable truth hides. The analysis market rewards confidence. An empty report is commercially worthless — no one will buy it, share it, or like it. Yet a wrong-but-fast conclusion earns thousands of views. This inverted reward system is slowly pushing cricket analysis toward falsehood. This is where the blockchain's lesson is most relevant. The blockchain's core strength is not any currency — its strength is an unbroken chain of proof. Once a transaction is recorded, it cannot be quietly altered; each block carries the imprint of the one before. Cricket analysis needs such an open ledger too: where a number came from, in which match, on what date, in which format — all carrying a certificate. Then the temptation to fill empty spaces can no longer hide. For me this lesson has another side, one I learned in the days of empty stadiums. In 2026, when the game returned to spectator-less grounds, I noticed that with the crowd gone, defenders held their line half a second longer, because no one was shouting to warn them. Absence itself is a change, a signal. In the same way, the absence of data is not mere zero — it is a summons, asking us to pause and ask: what am I actually seeing, and what can I actually prove? In cricket this crisis runs deeper, because the game brims with numbers — runs per ball, dot balls per over, averages per match, rankings per series. This abundance convinces us that we know everything. Yet without evidence these numbers are only sounds. If a century comes on a spin-friendly pitch, against a weak opponent, how much is it worth? The answer is not inside the number, but behind it — in the chain of information points. And if we truly want to build an open ledger, we must begin at the grassroots. What kind of bowler is being produced in which country, what kind of batsman a particular academy is delivering, on what pitch a player is growing up — these are the real roots, the real origins. A national team's failure never arrives suddenly; it is the imprint of years of development pipeline. But if that pipeline's data is uncertified, then in seeking the root we will find only rumour. I often say I do not fall in love with players; I fall in love with the spaces they leave behind. The same has happened in this analysis. Here there is no player, no match, no score — only an empty space, and the story of that empty space. And yet this very emptiness taught us the greatest lesson: honesty is not always about giving an answer, but about knowing that there is none. So before turning to the next match, one habit must be built. Beside every claim, write a small note: where is its evidence? If there is no answer, drop the claim. The question is simple, but in answering it, the analysis industry will finally see its own true face — wrapped in a blanket of lies, or bound in an unbroken chain of truth. And how brave an empty report can be, perhaps no one will believe again today.