🔥Crown and Bridge Masterclass: The Finishing School - Moez Khakiani (5 days Online Masterclass)🔥 ‼️Signature course of the author Dr. Moez Khakiani. The must have course for learning every aspects of crowns and bridges in dentistry‼️ 🔹A Comprehensive Guide To Crown and Bridge (Fixed Prosthodontics), Covering Every Essential Step 🔸Over 30 hours of content 🔹Multiple Modalities: Lectures, Typodont Videos, Patient Vide…

Channel
Dentistry Courses & Book
@dental_bb
On this record: Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
16,215subscribers
+116 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001460338718 |
|---|---|
| Type | Channel |
| Username | @dental_bb |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 21 |
| Confirmed unchanged | 1 time, most recently 9 September 2026 |
| On Telegram | t.me/dental_bb |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Sept 2026, 14:00 | 16,215 | +6 |
| 6 Sept 2026, 06:17 | 16,209 | +17 |
| 4 Sept 2026, 00:20 | 16,192 | +3 |
| 2 Sept 2026, 12:16 | 16,189 | +1 |
| 1 Sept 2026, 10:34 | 16,188 | -4 |
| 31 Aug 2026, 07:44 | 16,192 | +4 |
| 30 Aug 2026, 04:58 | 16,188 | -3 |
| 28 Aug 2026, 01:18 | 16,191 | +6 |
| 26 Aug 2026, 23:54 | 16,185 | -2 |
| 24 Aug 2026, 19:59 | 16,187 | +4 |
| 23 Aug 2026, 07:13 | 16,183 | +7 |
| 21 Aug 2026, 18:37 | 16,176 | +11 |
| 20 Aug 2026, 13:23 | 16,165 | +1 |
| 19 Aug 2026, 16:18 | 16,164 | +18 |
| 18 Aug 2026, 17:46 | 16,146 | +28 |
| 16 Aug 2026, 16:07 | 16,118 | -10 |
| 14 Aug 2026, 20:45 | 16,128 | +7 |
| 13 Aug 2026, 11:48 | 16,121 | -1 |
| 11 Aug 2026, 12:04 | 16,122 | +2 |
| 10 Aug 2026, 14:41 | 16,120 | first reading |
Engagement
57 posts held, back to 19 July 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 50 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.23%
- avg views ÷ 16,215 subscribers
- Avg views / post
- 848
- 37 posts measured
- Reaction rate
- 0.126%
- reactions ÷ views · ER floor
- Posts in window
- 37
- of 57 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 15 of 37 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 57 (19 July 2026 – 3 September 2026) |
| Views total | 31,391 |
| Reactions total | 20 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 10:03 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Reaction mix
31 reactions across 19 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 31 | 100.0% |
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 23 of the 57 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 31 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 57 most recent posts we hold, published 19 July 2026 to 3 September 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.
Recent posts
🦷 NEXT-LEVEL AESTHETIC RESTORATIVE TREATMENT 👨🏫 Yuichiro Yoshiki • Kazunori Ohtani • Kazunobu Yamada • Kenji Iwaki 📚 10 Online Lessons ━━━━━━━━━━━━━━━━━━ ✨ Learn advanced restorative and aesthetic dentistry through the renowned Japanese approach, featuring minimally invasive protocols, ceramic restorations, digital workflows, and complete denture concepts from internationally respected clinicians. ━━━━━━━━━━━━━━━━━━…
🦷 SKELETAL CLASS II & CLASS III TREATMENT: TEAM APPROACH 👨🏫 Alexandre Bottrel
🦷 ANTERIOR VENEERS: SMILE DESIGN & TREATMENT PLANNING 👨🏫 Jan Hajtó 📚 7 Online Lessons ━━━━━━━━━━━━━━━━━━ ✨ Learn the complete workflow for predictable, aesthetic, and minimally invasive anterior veneer treatment from one of the world's leading experts in aesthetic dentistry. ━━━━━━━━━━━━━━━━━━ 📖 COURSE HIGHLIGHTS ✅ Aesthetic principles of anterior veneers ✅ Tooth anatomy & facial harmony ✅ Smile Design Protocols ✅ D…
عروضنا المتوفرة كورسين من اختيارك 25 الف 3 كورسات من اختيارك 35 الف 4 كورسات من اختيارك 45 الف 12 كورس من اختيارك 100 الف للحجز والاستفسار @dent_ap
الكورس اكثر طلبا 🦷 PROGRAM ENDO Advanced – GMS Academy Dr. Nehal Nabil (Spoken Language: Arabic) Contents Failure of root canal treatment Open apex lecture ledge bypass with DEMO files retrieval lecture with DEMO Perforation Repair lecture and DEMO 🎓 A comprehensive program for dentists looking to improve their diagnostic skills, clinical decision-making, and management of challenging endodontic cases. 👩⚕️ In…
Deep margin elevation Dr ahmed saad Arabic language @dent_ap
🦷 PREDICTABLE LOCAL ANESTHESIA FOR THE MAXILLA & MANDIBLE Master pain-free, evidence-based anesthesia techniques with confidence. ━━━━━━━━━━━━━━━━━━ 🟢 Take the guesswork out of dental anesthesia with modern, anatomy-driven protocols. 🔹 Master predictable maxillary and mandibular local anesthesia techniques. 🔹 Learn painless injection protocols for single and multiple teeth. 🔹 Understand the science of pain perception…
❤1
Software available Exocad 3.2 Exocad 3.3 Exoplan 3.1 Blender 4.0 Blue sky plan 5.0 Realguide 5.4 @dent_aap
❤2
Master Dentist Dr. Lane Ochi Lecture collection
🦷 COMPOSITE RESTORATIONS: SCIENCE-DRIVEN APPROACH 👨🏫 Luis Felipe J. Schneider 📚 4 Online Lessons ━━━━━━━━━━━━━━━━━━ ✨ Master anterior and posterior composite restorations using a science-driven clinical approach focused on aesthetics, durability, and long-term success. ━━━━━━━━━━━━━━━━━━ 📖 COURSE HIGHLIGHTS ✅ Composite materials: composition, classification & selection ✅ Direct and indirect composite restorations ✅ …
🔥Tooth Wear Management: Italian School Protocols ✔️4 lessons (5h 26min) ❗️Main webpage: https://ohi-s.com/webinars-courses/170135/
❤1
Showing the 12 most recent of 57 posts we hold for @dental_bb. 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.
Posts edited after publishing
@dental_bb edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 25 August 2026
- Most recent edit
- 25 August 2026
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.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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
@dental_bb 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.
named in 1 post, 25 August 2026 – 25 August 2026
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.
@RoyalDentistryLibrary1sL · 48,336
Telegram ranks this channel #23 of 66 here — alongside 65 others — read 26 August 2026
@usefarabi · 34,711
Telegram ranks this channel #41 of 61 here — alongside 60 others — read 3 September 2026
@dental_books_lib · 51,288
Telegram ranks this channel #41 of 65 here — alongside 64 others — read 25 August 2026
@dentistry_online · 42,630
Telegram ranks this channel #42 of 65 here — alongside 64 others — read 29 August 2026
@dentalcoursez · 42,147
Telegram ranks this channel #50 of 59 here — alongside 58 others — read 29 August 2026
@zordok66 · 83,770
Telegram ranks this channel #58 of 70 here — alongside 69 others — read 20 August 2026
@MDC2019 · 31,391
Telegram ranks this channel #79 of 84 here — alongside 83 others — read 6 September 2026
This channel appears in 7 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 9 September 2026 — this entry's latest reading, not the date you are reading this.
“Dentistry Courses & Book” (@dental_bb), 16,215 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/dental_bb.
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.