Supply chain disruption from geopolitical tensions is breaking into mainstream international coverage after emerging primarily in specialist reporting.
Calibration
MEDIUM tier, this pattern is present in calibration data but with limited resolutions. Treat the confidence as a directional estimate, not a precise probability.
Entities
- Supply chain disruption (topic) gravity 0.0011 · momentum -0.250
Signals
- factor 11
- share_lift 0.314
- n_prior_low 0
- n_prior_top 0
- prior_share 0
- window_days 14
- n_recent_low 24
- n_recent_top 11
- recent_share 0.314
Confidence (70%) is computed numerically from these signals. The sentence prose was written by an LLM given only the structured signals as input, the LLM never sees or chooses the confidence number.
What would change our mind
Tier-1 sources stop covering the narrative for 14 days, returning it to fringe-only territory.
Inversion conditions are a property of the pattern detector, not the LLM. Watch for this signal move and the claim should weaken or be superseded.
Where the contributing events happen
Contributing events (1)
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Ukraine drone supply chain taiwanBeijing · China · Kyiv · Russia-Ukraine war · Supply chain disruption · Taipei · Taiwan · Ukraine