← Back to all Signals

What's causing record high US beef prices?

Source
BBC News - Business
Source link
https://www.bbc.co.uk/news/articles/cdrv0k0j662o?at_medium=RSS&at_campaign=rss
Published
2026-08-05 23:23:05
Discovered by ProcIntel
2026-08-06 00:10:30
Category
Procurement & Supply Chain News
Geography
UK
Organisations
Review status
Pending
Record type
REAL

Summary

The meat has never been more expensive, due to supply shortages, but no-one is making more money.

Possibly the same underlying story as Big Oil Companies Report Record Profits Amid High Oil Prices — flagged automatically for review, never merged automatically.

Procurement Relevance Gate

PASS — score 21.1/100 — evaluated 2026-08-06 00:10:30
Passed on: price_availability_leadtime_demand, geographic_exposure (score 21.1/100, threshold 20.0).
  • price_availability_leadtime_demand (weight 10) — matched on "shortage"
  • geographic_exposure (weight 8) — matched on "1 linked geography"

Initial Signal Assessment ProcIntel's automatic, provisional read of this individual Signal -- Initial Significance and Initial Confidence, computed deterministically before any Event extraction or human review.

A provisional, automatically-computed reading of this individual Signal, before Event extraction or human review. Not a final rating.

Initial Significance
1 · Low (15.0/100)
Initial Confidence
2 · Low (32.0/100)
Data sufficiency Whether enough structured evidence exists to trust this Signal's Initial Confidence reading. 'Sufficient' has no cap; 'Partial' and 'Insufficient' cap Confidence until more evidence is available; 'Not Assessed' means the Signal did not pass the Relevance Gate.
Insufficient
Strongest contributor
Procurement Impact
Limiting factor
Impact-Scale Specificity

Initial Significance Low (15.0/100). Strongest contributor: Procurement Impact (6.0/30 points). Limiting factor: Impact-Scale Specificity (0.0/10 points). Initial Confidence Low (32.0/100, data sufficiency: Insufficient). Strongest contributor: Corroboration (25.0/25 points). Limiting factor: Specificity (0.0/20 points).

  • No likely Event type matched; a low contextual baseline was applied.
  • No eligible (non-geographic, non-fictional) entities were linked to this Signal.
  • no confidence-specificity evidence (actor entity, date, quantified value, or concrete verb)
  • no matched Event type
  • no actor entities (only attribution/metadata, if any)
  • no actor content-derived geography
  • Entities were mentioned as context or document attribution rather than as actors in the reported development, so they did not increase Initial Confidence.
  • Geographies were mentioned only in diplomatic reaction, commentary or background context rather than as the actor, event location or affected party in the reported development, so they did not increase Initial Confidence.
  • Only source-level geography metadata was available.
  • Source metadata did not contribute to Initial Confidence.
  • Headline/summary word overlap is exceptionally low (0.00 < 0.1) with no reconciling content-derived entity/Event evidence.

Methodology signal_scoring_v1 — calculated 2026-08-07 14:43:12.