Each month I pick one large public company and give it a governance-risk score, a defined event, and a six-month deadline. When the deadline passes, I publish the outcome and keep the receipt.
The big failures are never a big event. They are a dozen small, boring signals that nobody reads: the CFO who leaves for "personal reasons," the KPI that quietly disappears from the earnings call, the board seat that opens with no announcement. Individually they mean nothing. Together, in one quarter, they mean something. The Tell is the practice of reading the small signals before they become the story.
I do not predict the market. I predict the people who run it.
Each signal on its own is unremarkable. The tell is the pattern: several of these, in the same company, in the same quarter.
Every tell I publish, and how it resolved. Each month adds a row. Click a row to read the full receipt, and the hits and misses stay in the table. The record is the point.
This is the public scoreboard behind Leverage Node. The same signals, the same process, run in the open with the receipts left out where anyone can check them.
You see the tell from the outside: a company, a number, a deadline. A Forensic Read shows what the same signals look like from inside one organization. That is where the pattern stops being a score and starts being a diagnosis.