Early Orthodontic Foundations: Essential Strategies 2024 Original PDF Pages:645 Channel: @usefarabi Admin: @yousefarabi

Channel
Dentistry E-Book, Course & Journal
@usefarabi
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
34,711subscribers
+532 since we began measuring on 20 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001002710554 |
|---|---|
| Type | Channel |
| Username | @usefarabi |
| Description | Dentistry Original E-Books & E-Journals & Courses |
| Created | Between 1 September 2015 and 31 December 2015 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 20 August 2026 |
| Last confirmed live | 8 September 2026 |
| Measurements held | 17 |
| Confirmed unchanged | 1 time, most recently 8 September 2026 |
| On Telegram | t.me/usefarabi |
Topic
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Sept 2026, 07:02 | 34,711 | +95 |
| 5 Sept 2026, 04:37 | 34,616 | +53 |
| 3 Sept 2026, 08:17 | 34,563 | +31 |
| 2 Sept 2026, 04:55 | 34,532 | +29 |
| 1 Sept 2026, 04:15 | 34,503 | +36 |
| 31 Aug 2026, 06:47 | 34,467 | +34 |
| 30 Aug 2026, 07:57 | 34,433 | +26 |
| 29 Aug 2026, 05:53 | 34,407 | +31 |
| 28 Aug 2026, 05:44 | 34,376 | +23 |
| 27 Aug 2026, 05:55 | 34,353 | +30 |
| 26 Aug 2026, 08:36 | 34,323 | +34 |
| 25 Aug 2026, 05:24 | 34,289 | +33 |
| 24 Aug 2026, 06:47 | 34,256 | +25 |
| 22 Aug 2026, 12:28 | 34,231 | +47 |
| 21 Aug 2026, 00:44 | 34,184 | +5 |
| 20 Aug 2026, 19:15 | 34,179 | no change |
| 20 Aug 2026, 19:00 | 34,179 | first reading |
Engagement
47 posts held, back to 10 August 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 39 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.19%
- avg views ÷ 34,711 subscribers
- Avg views / post
- 1,800
- 45 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 45
- of 47 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.
| Window | Rolling 30 days · latest post in window 9 September 2026 |
|---|---|
| Posts held | 47 (10 August 2026 – 9 September 2026) |
| Views total | 81,142 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Sept 2026, 12:43 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.
What this channel posts
- Photos
- ≈4,840
- Videos
- ≈603
- Links
- ≈400
Lifetime counters from Telegram’s own channel header, read 9 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 40m 52s
- Average length
- 40m 52s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Recent posts
Modern Dental Assisting 15e 2026 Original PDF Pages:1085 Channel: @usefarabi Admin: @yousefarabi15e 2026
CONTEMPORARY CONCEPTS IN PERI-IMPLANTITIS 2026 Converted PDF Pages:100 Channel: @usefarabi Admin: @yousefarabi
Pharmacology for Dentistry 5e 2025 Converted PDF Pages:530 Channel: @usefarabi Admin: @yousefarabi
Netter Atlas of Human Anatomy: Classic Regional Approach 9e 2027 Original PDF Pages:1345 Channel: @usefarabi Admin: @yousefarabi
Qualitative Research Methods for Medicine and Health Sciences 2027 Original PDF Pages:270 Channel: @usefarabi Admin: @yousefarabi
E-Journal: Journal of Dentistry 12issues/year Last issue:October.2026 Channel: …
E-Journal: Oral Surgery,Oral Medicine,Oral Pathology,Oral Radiology (OOOO) 12issues/year Last issue:August.2026 Channel: @usefarabi Admin: @yousefarabi Selling a…
E-Journal: British Journal of Oral and Maxillofacial Surgery 10issues/year Last issue:July.2026 Channel: @usefarabi Admin: @yousefarabi Selling a single issue or a Annually subscription in 2026 or The complete archive of British Journal of Oral and Maxillofacial Surgery by contacting the admin
E-Journal: Clinical Oral Implants Research 12issues/year Last issue:July.2026 Channel: @usefarabi Admin: @yousefarabi Selling a si…
E-Journal: Management of Gingivo-buccal Cancers 2026: An Issue of Oral and Maxillofacial Surgery Clinics of North America (Volume 38-3) 2026 4issues/year Last issue:August.2026 Pages:149 Channel: @usefarabi Admin: @yousefarabi…
E-Journal: The Journal of the American Dental Association (JADA): 12issues/year Last issue:Jul…
Showing the 12 most recent of 47 posts we hold for @usefarabi. 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
@usefarabi 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
- 1 September 2026
- Most recent edit
- 1 September 2026
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.
Channels Telegram recommends alongside this one
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.
@dental_den · 21,673#1
@dental_books_lib · 51,288#2
@dentoflix · 18,535#3
@RoyalDentistryLibrary1sL · 48,336#4
@MASTER_DENTAL_COURSES1 · 2,880#5
@dentobook · 4,333#6
@dental_courses_online · 7,898#7
@DentalCADCAMLibrary · 25,761#8
@PetraDentalBooksp2 · 17,254#9
@RoyalDentistryLibraryR2is · 8,458#10
@ArabDentistryLibrary2sL · 7,894#11
@ohisworld · 1,507#12
@exocad · 15,104#13
@RoyalDentistryLibraryBackup · 5,712#14
@thebestgrouplearning · 21,034#15
@glavstom · 22,570#16
@abdullwahab1990 · 12,628#17
@errmli · 10,705#18
@APOlibrary · 7,504#19
@zordok66 · 83,770#20
@MHGEDUIMP · 6,437#21
@dental_courses_books · 1,580#22
@DrBBBbot · 8,184#23
@Abd_Nur_Dent_OMFS_Videos · 4,723#24
@my_Orthodontics · 4,156#25
@DentalJobsVaccancyUpdate · 13,664#26
@OJ_LIBRARY · 1,285#27
@Dr_Mouayyad_AlbtousH · 2,264 (as read 3 September 2026)#28
@dentistry_video · 4,964#29
@dentistry_notes · 12,188#30
@digitaldentallibrary · 10,509#31
@booksofdentistry · 2,105 (as read 3 September 2026)#32
@AnasAlmisurati · 2,523 (as read 3 September 2026)#33
@Drbooks · 23,593#34
@dentfully · 12,290#35
@Mohaned24dentist · 19,169#36
@DIGITALDENTESTRY · 4,096#37
@OMFS100 · 7,035#38
@exocaddesigner84 · 10,183#39
@dentistry_online · 42,630#40
@dental_bb · 16,215#41
@eDentalAcademy · 6,247#42
@dentalcoursez · 42,147#43
@exocadofficiale · 2,227#44
@MOHMMEDGK · 18,206#45
@DrVideosbot · 14,103#46
@n_ox_ii · 1,851 (as read 3 September 2026)#47
@styleitalianodental · 918#48
@P_D_A_Sweden · 2,520 (as read 3 September 2026)#49
@dental_arts · 12,361#50
@Advanced_Digital_Impantology · 6,677#51
@stylearabianoteam · 11,557#52
@exocadlive · 5,487#53
@PKozhevnikov · 5,141#54
@digital3demon · 4,846#55
@misrussia · 2,027#56
@biomimetic_dentistry · 11,354#57
@LiveseriesBRD · 6,405#58
@blender_for_dental_russia · 2,653#59
@DentaSurgery · 998#60
@exo_cad · 3,175#61
Read from Telegram’s recommendation API, most recently 3 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.
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 #1 of 66 here — alongside 65 others — read 26 August 2026
@dental_books_lib · 51,288
Telegram ranks this channel #1 of 65 here — alongside 64 others — read 25 August 2026
@zordok66 · 83,770
Telegram ranks this channel #5 of 70 here — alongside 69 others — read 20 August 2026
@dentistry_online · 42,630
Telegram ranks this channel #39 of 65 here — alongside 64 others — read 29 August 2026
@thedentists · 51,131
Telegram ranks this channel #44 of 69 here — alongside 68 others — read 25 August 2026
@dentalcoursez · 42,147
Telegram ranks this channel #45 of 59 here — alongside 58 others — read 29 August 2026
This channel appears in 6 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 8 September 2026 — this entry's latest reading, not the date you are reading this.
“Dentistry E-Book, Course & Journal” (@usefarabi), 34,711 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/usefarabi.
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.