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UNDRR

@UNDRR · Geneva · joined 04 Aug 2009

#UN Office for Disaster Risk Reduction, dedicated to building disaster #resilience and tackling #climatechange through implementation of the Sendai Framework

116 052Followers
1 273Following
28 347Posts total
5.2KViews on collected posts

Postingan terbaru

🌊 Floods have cascading impacts, increasing other risks: • 🏚️ Landslides, erosion, damaged infrastructure • 🚱 Water contamination, disease outbreaks • 🚦 Disrupted transport & livelihoods But we can manage and reduce flood risks ➡️ https://t.co/dH4bjkF3gk https://t.co/B9JGxVKxpV
Diagram showing flooding drivers like cyclones, heavy rainfall, and dam failure, and impacts including infrastructure damage and disease outbreaks.
534 views · 5 likes · 7 reposts · 0 replies Open on X →
📡 What makes an early warning work when technology fails? Nepal’s floods show why early warning needs: 📱 Backup channels 🤝 Trusted information 📢 Local networks Effective warnings reach people in time to act. ➡️ https://t.co/sotZaSgPgF #EarlyWarningsForAll https://t.co/pqamtzkFr
Flooded town with a warning about communities maintaining alerts despite technology failures from UNDRR.
977 views · 21 likes · 14 reposts · 0 replies Open on X →
📢 How can gender-responsive DRR strengthen SME resilience? On 9 September, UNDRR, @UNDP, @UN_Women, and the Serbian Chamber of Commerce and Industry will convene a workshop in Belgrade to advance inclusive risk management, SME resilience, and #SendaiFramework. #SendaiGAP https:/
Conference on inclusive leadership and business continuity for Serbian SMEs held in Belgrade on September 9, 2026.
906 views · 11 likes · 2 reposts · 0 replies Open on X →
🌊 Can AI forecast floods – and save lives? @GoogleAI Flood Hub can predict flood risk 7 days ahead - even with scarce data. 📡 Direct alerts save lives 🌍 Free, scalable & open-access 🤝 Co-designed with govts, UN agencies & NGOs #AIforGood #EarlyWarningsForAll https://t.co/aqboVH
1:50
1.2K views · 19 likes · 14 reposts · 0 replies Open on X →
Earthquakes cannot be prevented. Impacts can be avoided. 🏗️ Building codes 👷 Train engineers 📋 Learn from every event 🎓 Teach about risk early ➡️ https://t.co/tZwLT0NOIl #EarthquakeDay #BuildingResilience https://t.co/u1GqYZhG7E
0:41
1.6K views · 40 likes · 21 reposts · 0 replies Open on X →

Dibandingkan akun berukuran sama

5 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. menjangkau lebih sedikit orang, tetapi melibatkan mereka jauh lebih kuat.

Median tayangan977akun ini6 087median untuk 100K–1M
Jangkauan, %0.84%akun ini1.60%median untuk 100K–1M
Interaksi, %2.83%akun ini0.98%median untuk 100K–1M
MetrikAkun iniMedian untuk 100K–1MRasio
Median tayangan per postingan9776 0870.16×
Jangkauan (tayangan ÷ pengikut)0.84%1.60%0.53×
Tingkat interaksi2.83%0.98%2.89×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

1.6K8 Sep
1.2K
906
977
5349 Sep

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

3.84%8 Sep
2.84%
1.43%
3.58%
2.25%9 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.98%.

What the audience does

Likes53.3%96 in total
Reposts32.2%58 in total
Quotes1.1%2 in total
Bookmarks13.3%24 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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