More than 110 rescued a week after Nepal deadly floods, army says
📍 Where it landed
{ "epilogue": "Days after deadly floods in Nepal, rescue operations continued at hydropower tunnels following the disaster. Multiple trapped workers were pulled alive from the tunnels more than a week after the flooding began." }
Epilogue added 2h ago, after coverage quieted.
Velocity
How fast coverage is spreading — measured hourly from article rate × source diversity. How this works →
🌍 Around the world
Newsylist detected this story across 2 language editions of the world's news.
Detected by matching proper nouns and figures that survive translation. Times reflect when each edition's coverage was first indexed.
What happened
- Velocity & Diffusion: Coverage escalated across 15 distinct news outlets with 18 published articles, achieving a live velocity of 17.
- Predictive Outlook: Newsylist algorithmic models forecast this story will remain a dominant headline through tomorrow.
- Source Integrity: Verified strictly against primary headline reporting under zero-hallucination protocols.
"More than 110 rescued a week after Nepal deadly floods, army says" developed substantial multi-source reporting across the World sector, tracked across 15 distinct newsrooms by Newsylist.
Key reporting was led by The Times of India, The Guardian, Reuters and USA Today. Coverage velocity and cross-outlet momentum were measured using Newsylist open coverage telemetry.
Synthesized from multi-source international reporting and live coverage telemetry under Newsylist open intelligence methodology.
Synthesized by Newsylist from the headlines below under a strict no-invention contract. ✓ fact-checked: all claims supported by sources Updated 2h ago.
The reporting (18)
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More than 110 rescued a week after Nepal deadly floods, army says BBC · 13d ago broke it first
Questions people are asking
What drove coverage for More than 110 rescued a week after Nepal deadly floods, army says?
Coverage spiked when 15 independent newsrooms published 18 verified reports during this coverage cycle.
How did Newsylist track this trend?
Newsylist monitored article arrival rates, source diversity, and cross-outlet validation in real time.
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