Empty Blocks, Broken Chain: The Null-Handling Lesson in Cricket Data Analysis

The first xG notebook taught me that a number can be a confession. But a missing number is a confession of system failure. A recent Stage-2 cricket analysis pipeline returned 'N/A – insufficient information' across all eight dimensions, because the Stage-1 deconstruction was substantively empty: no title, no source, no information points, no entities. This article explores why null-handling is a discipline, not an excuse. Each analytical block—format, player data, team context, league economics, governance, risk, narrative, industry transmission—could not be evaluated without evidence. The contrarian take: saying 'I don't know' is the hardest and most honest analysis. The takeaway is to re-run Stage-1 with proper information points before expecting any cricket conclusion. In a data-blockchain, empty blocks build no chain.