Born Between 2 Generals · Born Between 2 Generals· Showcase

Post-Market Watch

A transparent risk-prioritization queue for food-chemical review. Each substance is scored on population exposure, hazard signal, and how thin the data is — and the queue ranks what deserves post-market review first.

the regulator · food-safety regulation

Review priority = exposure × hazard × data-gap. Widely-eaten, higher-signal, thin-data substances rise. Weights are 1.0 each and shown openly — this is a prioritization, not a safety verdict.

Review queue — highest priority first

6 of 6 shown

Substances ranked by composite review-priority score
#	Substance	Exposure	Hazard	Data gap	Priority	Why it ranks here
1	PFAS (food-packaging migrant) Packaging migrant	5	9	8	360	High prioritydominant driver: hazard signal
2	Synthetic dye (legacy color additive) Color additive	8	7	6	336	High prioritydominant driver: wide exposure
3	Emulsifier blend (processed foods) Emulsifier	9	5	7	315	High prioritydominant driver: wide exposure
4	Sweetener Y (high-intensity) Sweetener	9	4	5	180	Medium prioritydominant driver: wide exposure
5	Preservative X (antimicrobial) Preservative	6	6	4	144	Lower prioritydominant driver: wide exposure
6	Flavor enhancer Z Flavoring	7	5	3	105	Lower prioritydominant driver: wide exposure

Adjust any factor (±) to re-rank live. Aggregate decision-support only — no individual is identified or surveilled.

Ask AI

AI can be wrong. Not medical, legal, or financial advice.

prioritize.log

$ load feed --source "sample dataset (v1 — no live feed)"
loaded 6 substances · formula = exposure × hazard × data-gap (weights 1·1·1)
#01  360 [hazard signal] PFAS (food-packaging migrant)
#02  336 [wide exposure] Synthetic dye (legacy color additive)
#03  315 [wide exposure] Emulsifier blend (processed foods)
#04  180 [wide exposure] Sweetener Y (high-intensity)
#05  144 [wide exposure] Preservative X (antimicrobial)
#06  105 [wide exposure] Flavor enhancer Z
status: ranked · prioritization, not a safety verdict