Our models:
how they work.

What we check before a fantasy football study is published.

01

Register

A falsifiable question, outcome, population, split, and failure criteria before results.

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02

Provenance

Source, retrieval time, license, attribution, schema, and SHA-256 recorded.

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03

Analyze

Deterministic code, frozen seed, temporal validation, baseline, uncertainty, artifacts.

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04

Attack

Statistician and adversarial reviewer look for leakage, selection, and overclaiming.

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05

Verify

Every number traces to an artifact; every source and license claim is checked.

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06

Gate

Mechanical checks plus an editor decision. A blocker stops publication.

What we require

  • Future data stays future. Forecasting studies use rolling or held-out periods.
  • Start with a baseline. More complex models must improve on a simple relevant forecast.
  • Show uncertainty. We do not publish point estimates alone.
  • Show limitations. Caveats stay with the conclusion.
  • Link the evidence. Claims map to tables, charts, code, and hashes.
  • Keep review records. Prompts, findings, and decisions are recorded.

What must pass before we publish.

We check the data, sample, validation, uncertainty, review, limitations, and citations.

✓Data provenance

✓Temporal validation

✓Sample threshold

✓Uncertainty

✓Adversarial review

✓Limitations

✓Citation trace

Who checks the work

01

Researcher

Checks the study against the registered question.

02

Statistician

Checks the model, baselines, uncertainty, and validation.

03

Code / methods

Checks the implementation, tests, and row counts.

04

Adversary

Looks for weak claims, alternate explanations, and reader misuse.

05

Citation checker

Checks sources, evidence paths, and usage rights.

06

Visualization reviewer

Checks chart values, labels, and accessibility.

07

Editor / publisher

Keeps the story useful, clear, and supported.

Research help, not the headline

GLM-5.3 helps design, challenge, source-check, and edit studies. Deterministic code produces the statistics, tables, charts, and publication checks.

MODEL
GLM-5.3 via OpenRouter
CALCULATION
Deterministic Python
REVIEW OUTPUT
Structured records
PUBLIC EVIDENCE
Per-study Research File
Review labels.

AI review is not independent human peer review. External human review will be labeled separately when it exists.

See published research files →