5 measurements spanning 33 days, net -9. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 408–419 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Sept 2026, 15:00
409
-1
22 Aug 2026, 07:18
410
-4
15 Aug 2026, 15:26
414
-4
6 Aug 2026, 19:32
418
no change
6 Aug 2026, 15:04
418
first reading
Engagement
20 posts held, back to 26 April 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 15 May 2023. An engagement rate over an empty window would be a number about nothing.
Reaction mix
14 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 57.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
8
57.1%
❤
3
21.4%
👎
2
14.3%
😁
1
7.14%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 10 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 14 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 26 April 2023 to 15 May 2023, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
*عدن_تعز وبقية المناطق تحت سيطرة الحكومة الشرعية*
دعوات لتظاهرات شعبية لإسقاط الحكومة نظراً لإنهيار العمله وارتفاع الأسعار وغياب الرقابة البنكية ودور الحكومة العاجز عن اتخاذ أي إجراءات للحد من إنهيار العملة والتردي الاقتصادي المستمر.
حيث أعلنت عدد من المكونات الشبابية والشعبية ومنظمات المجتمع المدني في عدد من المحافظات المحرره وعلى رأسها العاصمة عدن وتعز على إقامة تظاهرات عارمة في عموم المناطق المحررة بسبب إنهيار الع…
نتائج الانتخابات التركية 🇹🇷
لحظة بلحظة...
عبر قناتنا.. على التيليجرام.. 👇
https://t.me/Aljabzi_Press
أو عبر مجموعاتنا بالوتس 👇
https://chat.whatsapp.com/0dcZOPdQs2dHkGgBwe6VwD
للمهتمين بمتابعة نتائج الانتخابات التركية مباشرة🇹🇷
هذا الصفحة تبين النتائج مباشرة عقب بدء الفرز من كل المحافظات سواء للرئاسيه او البرلمانية ولكل مرشح وحزب :
👇
https://www.yenisafak.com/ar/secim-cumhurbaskanligi-2023/secim-sonuclari
@napaalakpareeh
وصول الدفعة الأولى من اليمنيين العالقين في "بورتسودان" إلى مطار عدن الدولي، على متن الخطوط الجوية اليمنية
هذه الدفعة شملت 179 مواطنا، ومن المتوقع أن تصل خلال الساعات القادمة ثلاث رحلات إلى مطاري عدن وصنعاء لنقل دفعات أخرى من العالقين اليمنيين في السودان
أشاد بتضحياتهم وصمودهم. #العليمي يلتقي الصحفيين المفرج عنهم من سجون مليشيا الحوثي
وخلال لقائه الصحفيين المحررين.. العليمي: ما تعرضت له الصحافة الوطنية من انتهاكات جسيمة تحت قبضة المليشيا لم يحدث في تاريخ البلاد
يرتبط ظهور الشعر الأبيض بالتقدم في العمر والشيخوخة، وقد يوحي أيضا بالحكمة لارتباطه بكبار السن وذوي الخبرة في الحياة، لكن بشكل غير متوقع يبدأ الشيب في الظهور عند بعض الناس من فترة العشرينيات، وأحيانا قبل ذلك، وبمجرد ظهوره يبدأ في الانتشار.
وتسهم عديد من العوامل في ظهور الشيب المبكر، بعضها عوامل بيولوجية ونفسية وبيئية، وأخرى ترتبط بالعادات وأسلوب الحياة، وبمعرفة الأسباب والاستعانة ببعض النصائح يمكن أن نبطئ انتشار الشي…
#السفير_جميح
يلتقي السيدة سمية جاكطة مندوبة منظمة العالم الإسلامي للتربية والعلوم والثقافة (إيسسكو) لدى اليونسكو.
جرى خلال اللقاء بحث أوجه التعاون بين المجموعة العربية لدى اليونسكو ومنظمة الإيسسكو، وأنشطة وبرامج الإيسسكو المختلفة في البلدان العربية والإسلامية.
وزير الدفاع يزور اللواء فيصل رجب في منزله
زار وزير الدفاع الفريق الركن محسن محمد الداعري اليوم اللواء البطل فيصل رجب المحرر من سجون مليشيا الحوثي الارهابية في منزله.
واطمئن وزير الدفاع على صحة البطل رجب بعد 8 سنوات من الإخفاء والتغييب في سجون المليشيات الحوثية، مؤكدا استعداد وزارته تقديم الرعاية والدعم اللازم له ولجميع المحتجزين المحررين من منتسبي القوات المسلحة.
واشاد الوزير الداعري بالتاريخ البطولي والنضالي للقا…
👍1
Showing the 12 most recent of 20 posts we hold for @alwatan_12. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@alwatan_12 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@aljabzi_press named in 3 posts, 8 August 2026 – 8 August 2026
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 8 September 2026 — this
entry's latest reading, not the date you are reading this.
“قلب الوطن” (@alwatan_12), 409 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/alwatan_12.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.