Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 15 September 2026 and assigned it the closest of 31 fixed categories, at 48% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
19 measurements spanning 77 days, net -49. 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 2,501–2,564 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
23 Oct 2026, 23:40
2,508
-1
20 Oct 2026, 16:50
2,509
-1
17 Oct 2026, 18:09
2,510
-1
14 Oct 2026, 19:38
2,511
+3
11 Oct 2026, 07:20
2,508
-10
5 Oct 2026, 00:39
2,518
-1
25 Sept 2026, 22:41
2,519
-9
16 Sept 2026, 20:55
2,528
-4
12 Sept 2026, 15:19
2,532
-8
8 Sept 2026, 12:01
2,540
-2
3 Sept 2026, 14:42
2,542
-1
27 Aug 2026, 19:23
2,543
-1
24 Aug 2026, 22:45
2,544
-4
21 Aug 2026, 04:24
2,548
-5
17 Aug 2026, 18:58
2,553
-2
11 Aug 2026, 09:32
2,555
-1
8 Aug 2026, 10:37
2,556
-1
7 Aug 2026, 20:45
2,557
no change
7 Aug 2026, 20:39
2,557
first reading
Engagement
20 posts held, back to 27 February 2024 — 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 4 September 2024. An engagement rate over an empty window would be a number about nothing.
Reaction mix
447 reactions across 19 posts, in 12 distinct kinds. The most used accounts for 45.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
203
45.4%
👎
54
12.1%
😢
52
11.6%
🤯
42
9.40%
🔥
26
5.82%
👍
21
4.70%
😱
19
4.25%
🤔
11
2.46%
❤🔥
6
1.34%
🤩
6
1.34%
💯
4
0.895%
😍
3
0.671%
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 20 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 447 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 27 February 2024 to 4 September 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
📍الدرجات الوظيفية حسب كتاب مجلس الخدمة والمعتمد على قوائم وزارة الصحة المرسلة اليه:
▪️طب عام 4221
▪️الكليات التقنية 6116
▪️المعاهد التقنية 7536
▪️كليات التمريض 3257
▪️معاهد التمريض 5607
▪️اعدادية تمريض 43
▪️خريجي الاقليم 1634
لا تحتوي على صيدلاني ولا طبيب اسنان.
Medico Research Team
السلام عليكم
اول شي مبروك عليكم خلصتو المرحلة الثالثة وان شاء الله كلكم ناجحين ..
قريبا عدكم بحوث rm و اكيد دايخين بيها
لا تدوخون مستعدين نساعدكم ببحوثكم كاملة او نسويلكم اي جزء من البحث مثل نسويلكم الفورم، ندخل بيانات الفورم (حتى لو كانت الداتا يدوية) للspss ،نرتب النتائج،كتابة word و ترتيب الجداول و نكتب المصادر بطريقة Harvard او Vancouver او اي طريقه يطلبها منكم الدكتور خاصة طب بغداد
اكيد كل ه…
📌 مجلس النواب يصوّت على مقترح زيادة نسبة طلبة الدراسة على النفقة الخاصة (الموازي) في الجامعات الحكومية. ⛔️
📌 حسب ما مذكور في الكتاب [نسبة 20%] ، و مصادر اخرى تذكر [نسبة 50%].
Sonia vallabh
إمرأة عدهة وظيفة بالقانون ⚖️ , شهدت تدهور حالة أمها 👵🏻 بفترة أسابيع بدون سبب معروف لحد ما توفت ، بعدين إكتشفوا أن سبب الوفاة هو Prion disease إللي هو مرض بسبب تشوه بروتين معين إسمة PrP (Prion Protein) واللي حيسبب 🧠 Neurodegeneration "إضمحلال للخلايا العصبية" وأعراض مثل فقدان الذاكرة ، فقدان التوازن وغيرها .
سونيا من عرفت هالمرض ممكن ينتقل بالوراثة ف سوت إختبار وراثي على الجين اللي تعتقد بي الخلل وطلع م…
تخيلوا تشوفون أمكم 👩🏻 تموت گدامكم بعمر 52 بسبب مرض بالدماغ 🧠 بعدين تكتشفون هذة المرض وراثي وإنتوا عدكم الطفرة اللي ممكن راح تسببلكم هذة المرض (لا سمح الله ، والله يحفظ أمهات الجميع يا رب)🙏! شنو حيكون شعوركم؟يمكن أول شي حتسووا تشوفون إذا أكو علاج للمرض لو لا ، بعدهة من حتعرفون ماكو علاج عل أغلب راح تأيسون أو تفقدون الأمل بس إمرأة إسمهة Sonia vallabh جان عدهة رأي مختلف…
شلون أدوية GLP-1 agonists اللي لسنين طويلة معروف عنها علاج للسُكري صارت اليوم علاج لل Obesity؟ 💊
https://www.instagram.com/reel/C7l0mv-qNMm/?igsh=dnQ4aWxpZHZucnJ4
📌 تعطيل الدوام الرسمي يوم الأربعاء الموافق 2024/5/1 في الوزارات والمؤسسات كافة تزامنًا مع عيد العمال العالمي
❤6😱1
Signed Ibrahim Saleem
Showing the 12 most recent of 20 posts we hold for @CPPCCA. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Elhusseiny USMLE Program @elhusseinyusmle · 44,327 Telegram ranks this channel #38 of 75 here — alongside 74 others — read 28 August 2026
MED ACE @MED_ACE · 26,341 Telegram ranks this channel #39 of 79 here — alongside 78 others — read 14 September 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 23 October 2026 — this
entry's latest reading, not the date you are reading this.
“Cappuccino Academy ☕️” (@CPPCCA), 2,508 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/CPPCCA.
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.