Channel
@dentistdia
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
28,070subscribers
-42 since we began measuring on 28 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001372977203 |
|---|---|
| Type | Channel |
| Username | @dentistdia |
| Description | *_ـ٨ـہـ❥ـــ٨ــ٨ـہـ͢٨ـہـ٨ــــ٨ـہـ❥ـ للتواصل والإستفسار مع إدارة القناة @Dent_tasn_5228BOT |
| Created | Between 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 28 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/dentistdia |
Education — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 80% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 14:15 | 28,070 | -3 |
| 15 Sept 2026, 12:21 | 28,073 | -1 |
| 13 Sept 2026, 19:21 | 28,074 | +1 |
| 12 Sept 2026, 01:19 | 28,073 | +5 |
| 9 Sept 2026, 18:36 | 28,068 | -24 |
| 6 Sept 2026, 10:19 | 28,092 | -12 |
| 4 Sept 2026, 03:57 | 28,104 | -1 |
| 2 Sept 2026, 16:04 | 28,105 | +3 |
| 1 Sept 2026, 14:13 | 28,102 | -10 |
| 31 Aug 2026, 13:33 | 28,112 | -8 |
| 30 Aug 2026, 14:08 | 28,120 | +3 |
| 29 Aug 2026, 16:04 | 28,117 | +4 |
| 28 Aug 2026, 15:24 | 28,113 | +1 |
| 28 Aug 2026, 03:45 | 28,112 | first reading |
15 posts held, back to 27 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pages 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 15 posts for this entry, the most recent from 17 August 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 20 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
151 reactions across 13 posts, in 2 distinct kinds. The most used accounts for 95.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 144 | 95.4% | |
| 👍 | 7 | 4.64% |
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 14 of the 15 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 151 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 27 June 2026 to 17 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
﴿فَإِنِّي قَرِيبٌ أُجِيبُ دَعْوَةَ الدَّاعِ إِذَا دَعَانِ﴾ قد تبدو لك الحلول بعيدة أو صعبة أو مستحيلة والحقيقة ليس بينك وبينها إلا دعوة 🤍🦋
❤40
Signed طـٰٚـِْـٰٚـبيبهۃ المـســۦـٖٓ͡ــــٰٚـِِْـٰٚـتقبل
تعرف إيش أكثر الأخطاء اللي ممكن نعملها في أول استشارة Ortho؟ 🤔🦷 إننا نستعجل ونبدأ نفحص الأسنان مباشرة. أعرف إن الكلام غريب شوية… 👀 لكن ممكن يكون فحصك ممتاز ✅ والـRecords كاملة 📋 والـDiagnosis من الناحية السريرية صحيح 🎯 ومع ذلك… 😶 تكتشف بعد فترة إنك كنت تعالج مشكلة غير المشكلة اللي المريض جاء عشانها أصلًا. المريض يدخل ويقول لك: 💬 «دكتور أنا بس أشتي أرتب أسناني» وأنت مباشرة تبدأ تشوف الـCrowding 🦷 والـOverjet 📏…
❤13👍1
Signed طـٰٚـِْـٰٚـبيبهۃ المـســۦـٖٓ͡ــــٰٚـِِْـٰٚـتقبل
🦷✨ بتشتغل Class II؟ يبقى لازم تفهم يعني إيه Sectional Matrix صح 💡 لو بتدور على contact قوي، contour طبيعي، وتكنيك مضمون... يبقى الـ Tor VM Sectional Matrix هتفرق معاك فعلًا في الشغل 👇🔥 📏 الـ Sectional Matrix من Tor VM بتيجي بثلاثة مقاسات: Small – Medium – Large وكل مقاس منهم له استخدامات مميزة حسب شكل الكافتي، ومكان الـ tooth، وحجم الـ restoration المطلوبة 🧩 وده الشرح بالتفصيل لكل مقاس: ا🟡 1. Small Size 📌 الاستخد…
❤10
Signed طـٰٚـِْـٰٚـبيبهۃ المـســۦـٖٓ͡ــــٰٚـِِْـٰٚـتقبل
Photo, posted without a caption
❤1
Signed طـٰٚـِْـٰٚـبيبهۃ المـســۦـٖٓ͡ــــٰٚـِِْـٰٚـتقبل
كل ما يجب أن تعرفة كدكتور أسنان عن Bruxism 🦷😬 مريضك يقول لك: "دكتور… أسناني تتآكل، وما أعرف ليش!" تبدأ تفحص الأسنان… 👀 تلاحظ Tooth Wear واضح، وبعض الأسنان فيها Cracks، والمريض يشتكي من ألم أو تعب في عضلات الفك. هنا اسأل نفسك: 🧐 هل المشكلة مجرد سوء تنظيف؟ ولا فيه قوة تتعرض لها الأسنان كل يوم… خصوصًا أثناء النوم؟ هنا لازم تفكر في: 😬 Bruxism الـ Bruxism هو نشاط متكرر لعضلات المضغ، وقد يظهر على شكل Clenching أو Grinding …
❤14
Signed طـٰٚـِْـٰٚـبيبهۃ المـســۦـٖٓ͡ــــٰٚـِِْـٰٚـتقبل
Photo, posted without a caption
Signed طـٰٚـِْـٰٚـبيبهۃ المـســۦـٖٓ͡ــــٰٚـِِْـٰٚـتقبل
هل ضربة في السن اللبني ممكن تأثر على السن الدائم؟ كثير من الأهالي يعتقدوا ان إصابة السن اللبني ما تهمش، لأنه في النهاية "بيطيح". لكن الحقيقة ان بعض الإصابات أو الالتهابات في الأسنان اللبنية قد تؤثر على السن الدائم الموجود تحتها وهو ما زال في مرحلة التكوين. تُعرف هذه الحالة باسم Turner's Tooth Syndrome أو سن تيرنر. كيف تصير؟ إذا تعرض السن اللبني لضربة قوية، أو حدث فيه التهاب شديد بسبب تسوس وصل للعصب، فقد تتأثر الخل…
❤15👍2
Signed طـٰٚـِْـٰٚـبيبهۃ المـســۦـٖٓ͡ــــٰٚـِِْـٰٚـتقبل
Photo, posted without a caption
❤1
Signed طـٰٚـِْـٰٚـبيبهۃ المـســۦـٖٓ͡ــــٰٚـِِْـٰٚـتقبل
انواع الكلامبــات واستخدامهن رابــط القنــاة: http://t.me/dentistdia
❤10
Signed طـٰٚـِْـٰٚـبيبهۃ المـســۦـٖٓ͡ــــٰٚـِِْـٰٚـتقبل
لاتنسـوا الشروط https://www.facebook.com/share/p/1GpBaiqDzE/
❤4👍1
Signed طـٰٚـِْـٰٚـبيبهۃ المـســۦـٖٓ͡ــــٰٚـِِْـٰٚـتقبل
ليه فعلًا لازم تعمل Glide Path قبل الـ rotary ؟؟ في دكاترة كتير بتتعامل مع الـ glide path كإنها خطوة “زيادة لكن الحقيقة؟ 📌 الـ Glide Path مش رفاهية… دي خطوة أمان ليك وللـ canal وللـ files كمان 👌🔥 ببساطة جدًا: الـ glide path = إنك تجهز طريق ناعم وسالك علشان الـ rotary files تدخل من غير مقاومة أو stress زيادة. يعني بدل ما الـ file تدخل تتخانق جوه القناة 😅 أنت بتمهّد لها الطريق الأول. ــــــــــــــــــــ 📌 طيب إي…
❤13
Signed طـٰٚـِْـٰٚـبيبهۃ المـســۦـٖٓ͡ــــٰٚـِِْـٰٚـتقبل
Photo, posted without a caption
❤5
Signed طـٰٚـِْـٰٚـبيبهۃ المـســۦـٖٓ͡ــــٰٚـِِْـٰٚـتقبل
Showing the 12 most recent of 15 posts we hold for @dentistdia. 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.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 10 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“يوميات طالب طب اسنان🦷” (@dentistdia), 28,070 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/dentistdia.
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.