Stock Thesis Evidence Gap Data
Aggregate, anonymized ThesisCheck evidence-gap patterns from completed source-checked thesis stress tests.
I want data on where stock theses tend to lack source support without exposing individual users, tickers, or theses.
This report is wired for aggregate, anonymized evidence-gap data from completed ThesisCheck artifacts. The current public snapshot contains no completed-artifact distribution yet, so it publishes the methodology and privacy boundary before production refresh.
Aggregate data is prepared, not fabricated
The committed snapshot currently includes 0 completed artifacts. ThesisCheck will publish distribution statistics only after the aggregate refresh script validates completed artifacts and strips user, ticker, and thesis identifiers.
- Aggregate counts only.
- No per-user rows.
- No per-ticker rows.
- No advice, return, or market-outcome claims.
What the current snapshot can say
The current public aggregate snapshot contains 0 completed artifacts, so it does not yet publish distribution statistics from production runs.
Gap reason: The aggregate report is wired to a committed JSON snapshot. Run the refresh script against completed artifacts before publishing production distribution counts.
What the aggregate report may include
The report is designed to summarize evidence patterns without making any individual run identifiable.
Report field and privacy treatment
Number of completed artifacts with a gap in each diligence area.
Published only as counts across the artifact set.
Count of claims rendered in missing-evidence sections.
Claim text is excluded from the committed public snapshot.
Count of source-ledger entries reviewed across artifacts.
Source counts are aggregated without identifying the underlying ticker.