{
  "artifacts_reviewed": [
    "analysis.json",
    "article.md",
    "provenance.json",
    "locked_research_memo.json",
    "data/next-season-pairs.csv",
    "data/walk-forward-predictions.csv",
    "data/regression-quintiles.csv",
    "data/attrition-by-season.csv",
    "figures/forecast-error.png",
    "figures/regression-quintiles.png",
    "figures/2025-overperformers.png"
  ],
  "created_at": "2026-08-31T01:22:34.651222+00:00",
  "decision": "pass",
  "findings": [
    {
      "check": "survivorship-and-selection",
      "evidence": "The next-season evaluation conditions on returning to at least 40 targets (649 evaluable pairs vs 301 not evaluable and 128 pending), and the article itself flags that selection can affect both tails differently with uncertain net direction. Because the comparison is paired within the same surviving players, the headline MAE improvement is a within-survivor result; a fantasy manager fading a high-overperformer whose role collapses would face an outcome this evaluation cannot measure, since those players exit the sample.",
      "recommendation": "Keep the survivorship caveat prominent; consider adding attrition-by-season counts to the article body so readers can gauge how much of the top quintile's 3.0-TD decline is measured only among retained players.",
      "severity": "warning"
    },
    {
      "check": "over-application-risk",
      "evidence": "The 'How to use it' section correctly frames the result as a weak tiebreaker, but the headline ('Touchdowns are mostly rented, not owned') and the quintile chart (8.3 to 5.3 TDs) are the most shareable elements and could be read as a mechanical fade rule with known magnitude. The residual-vs-next-change correlation of -0.50 is moderate, not deterministic, and the article notes both forecasts still miss by more than two TDs on average.",
      "recommendation": "No change required; the body text already disclaims mechanical fading and known-magnitude adjustments. Ensure social/email framing does not strip these caveats.",
      "severity": "warning"
    },
    {
      "check": "scope-and-staleness",
      "evidence": "The model uses only season-level volume features (targets, receptions, yards, air yards, first downs) with no red-zone or route context, and the data snapshot ends with the 2025 season. The article discloses both limitations and explicitly states this tests an evergreen claim rather than ranking current players. A reader wanting 2026 draft advice would need to supply team, quarterback, health, and market context the study does not provide.",
      "recommendation": "No change required given the disclosed scope; consider a one-line pointer that the 2025-overperformers artifact is illustrative of the method, not a current ranking.",
      "severity": "warning"
    },
    {
      "check": "uncertainty-communication",
      "evidence": "The bootstrap interval (0.18 to 0.45 TD MAE improvement) is a paired resample within one evaluation sample, and the article correctly states the 5,000 resamples are not independent replications. The probability_expected_better of 1.0 reflects this single-sample bootstrap and should not be read as a replication probability.",
      "recommendation": "No change required; the article's phrasing is already accurate.",
      "severity": "note"
    }
  ],
  "model": "z-ai/glm-5.3",
  "role": "adversarial_reviewer",
  "summary": "I attempted to falsify the headline claim that an opportunity-based expected-touchdown baseline beats raw prior-year touchdowns at predicting next-season receiving TDs, and could not overturn it within the study's disclosed scope. The walk-forward design (training only on earlier seasons, testing 2018\u20132025), paired comparison on identical player-season pairs, and bootstrap interval excluding zero all support the direction of the finding, and the article's caveats about survivor bias, benchmark-vs-projection status, and data staleness are disclosed rather than hidden. Remaining concerns are scope limits a fantasy reader could over-apply, not invalidating flaws."
}