PolicyEngine / PolicyEngine/snap-qc-sim

Sampling-schedule election module: standard vs reduced, priced

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Dominant language
Python
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Description

All 53 jurisdictions elected the reduced schedule (with its agreement not to dispute findings on precision grounds) before precision priced tiers worth tens of millions. The app's review-volume slider shows the variance effect of extra reviews; formalize it as the actual election: standard-formula vs reduced sample sizes per 7 CFR 275.11, the dispute-rights tradeoff, per-review cost assumptions, and the deadline mechanics (plan changes due 60/30 days before implementation). Answers a state's real question: is reverting to the standard schedule worth it at my tier boundary?

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by locating the app’s review-volume slider and understanding how it currently represents the variance effect of extra reviews. Read 7 CFR 275.11 and clarify the standard versus reduced schedules, dispute-rights tradeoff, per-review costs, and 60/30-day plan-change deadlines. Done should answer whether reverting to the standard schedule is worthwhile at a state’s tier boundary.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
35/100

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