🍽 RiskyEats

Weekly IRL brief · License records · Risk modeling

Anomaly Something unusual is happening right now. Glossary →

Live TSE Anomaly Feed

Top anomaly rows from TSE or ORSM fallback outputs.

The live anomaly feed uses TSE when present and ORSM/NIM fallback rows otherwise. IRL flags per-license inspection risk; ORSM and NIM outputs turn that ledger into a weekly anomaly surface with a primary driver rather than a naked score.

Share + credit: f Facebook 𝕏 Post in LinkedIn ↑ Reddit ✉ Email Please credit RiskyEats / FRI Analytics when sharing.

Updated 2026-05-22 15:03 UTC

Active rows20
SourceTSE

Charts

Anomaly magnitude

statewide=statewide 0.0
statewide=statewide 0.0
statewide=statewide 0.0
statewide=statewide 0.0
statewide=statewide 0.0
statewide=statewide 0.0
statewide=statewide 0.0
statewide=statewide 0.0
statewide=statewide 0.0
statewide=statewide 0.0
statewide=statewide 0.0
statewide=statewide 0.0
statewide=statewide 0.0
statewide=statewide 0.0
statewide=statewide 0.0
statewide=statewide 0.0
statewide=statewide 0.0
statewide=statewide 0.0
statewide=statewide 0.0
statewide=statewide 0.0

Top 20 active anomalies

statewide=statewide
statewide=statewide
statewide=statewide
statewide=statewide
statewide=statewide
statewide=statewide
statewide=statewide
statewide=statewide
statewide=statewide
statewide=statewide
statewide=statewide
statewide=statewide
statewide=statewide
statewide=statewide
statewide=statewide
statewide=statewide
statewide=statewide
statewide=statewide
statewide=statewide
statewide=statewide

Raw counts mislead -- Putnam County losing 4 places is different from Miami losing 4. Use the rate or per-capita column for defensible comparisons. Methodology details linked above.

Data sources: License records · Risk modeling. Built from DBPR public inspection records, Florida Sunbiz business filings, and Foursquare/OSS location data. All counts are derived from public records — no estimates or projections unless labeled as forecast.