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Channel
Dr Been
@Dr_beenvideos
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
11,748subscribers
+236 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001289745616 |
|---|---|
| Type | Channel |
| Username | @Dr_beenvideos |
| Description | Contact admin @murtazakuchay for any Queries/promotion/copyright issue |
| Created | Between 1 April 2018 and 19 January 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 November 2026 |
| Measurements held | 63 |
| Confirmed unchanged | 1 time, most recently 13 November 2026 |
| On Telegram | t.me/Dr_beenvideos |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Nov 2026, 09:51 | 11,748 | +14 |
| 10 Nov 2026, 22:21 | 11,734 | -1 |
| 9 Nov 2026, 09:48 | 11,735 | +8 |
| 8 Nov 2026, 01:31 | 11,727 | +3 |
| 7 Nov 2026, 01:16 | 11,724 | -3 |
| 6 Nov 2026, 02:45 | 11,727 | +7 |
| 5 Nov 2026, 05:39 | 11,720 | +7 |
| 4 Nov 2026, 08:07 | 11,713 | +5 |
| 3 Nov 2026, 05:00 | 11,708 | +6 |
| 2 Nov 2026, 07:16 | 11,702 | +2 |
| 1 Nov 2026, 06:26 | 11,700 | -5 |
| 31 Oct 2026, 09:05 | 11,705 | -2 |
| 30 Oct 2026, 06:59 | 11,707 | +5 |
| 29 Oct 2026, 05:36 | 11,702 | +7 |
| 28 Oct 2026, 04:21 | 11,695 | +2 |
| 27 Oct 2026, 01:16 | 11,693 | +2 |
| 26 Oct 2026, 04:28 | 11,691 | +9 |
| 23 Oct 2026, 09:19 | 11,682 | -3 |
| 22 Oct 2026, 09:30 | 11,685 | +6 |
| 21 Oct 2026, 06:17 | 11,679 | first reading |
Engagement
27 posts held, back to 19 January 2020 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 66 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 6.01%
- avg views ÷ 11,748 subscribers
- Avg views / post
- 706
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 27 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 4 November 2026 |
|---|---|
| Posts held | 27 (19 January 2020 – 4 November 2026) |
| Views total | 1,411 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 21:44 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
- 1
- Videos
- 33
- Links
- 3
Lifetime counters from Telegram’s own channel header, read 13 November 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.
- Video runtime
- 4h 11m
- Average length
- 13m 59s
Measured directly from 18 videos 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
Telegram’s own ‘edited’ marker: 0 of 2 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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✅📱Top Telegram 📱 Medical Channels 🆓☄️ 1. Anatomy: t.me/anatomyvideoss 2. Physiology: t.me/Physiology_videos 3. Biochemistry: t.me/biochemistry_videos 4. Pathology: t.me/sketchymedical 5. Pharmacology: t.me/pharma_vid 6. Microbiology: t.me/microbiology_vid 7. Forensic Medicine: t.me/forensicmedicine_videos 8. ENT: t.me/ENTVideos 9. Ophthalmology: t.me/ophthamologyvideos 10. Community Medicine: t.me/communitymedicinev…
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USMLE & PLAB Pack 1. Sketchy videos : 2. PATHOMA VIDEOS: t.me/pathomaavideos 3. DOCTOR IN TRAINING t.me/Doctors_intraining 4. DR CONARD FISCHER LECTURES t.me/doctorConardFischer 4.OSMOSIS VIDEOs : t.me/Medical_osmosis 5. KAPLAN VIDEOS : t.me/kaplanvideos 6.. UWORLD : t.me/U_world 7.. Lecturio videos : t.me/Medical_lecturio 8.. Histology & physical examination : t.me/physicalexaminationvideos 9. onlinMeded videos …
USMLE & PLAB Pack 1. Sketchy videos : 2. PATHOMA VIDEOS: t.me/pathomaavideos 3. DOCTOR IN TRAINING t.me/Doctors_intraining 4. DR CONARD FISCHER LECTURES t.me/doctorConardFischer 4.OSMOSIS VIDEOs : t.me/Medical_osmosis 5. KAPLAN VIDEOS : t.me/kaplanvideos 6.. UWORLD : t.me/U_world 7.. Lecturio videos : t.me/Medical_lecturio 8.. Histology & physical examination : t.me/physicalexaminationvideos 9. onlinMeded videos …
23. EKG - Enhanced Automaticity, Drivers, Reentry, Triggered Events #DrBeen #CardioVascular ©️Dr Been Clinical Videos
32. Ventricular Tachycardia - Types, Causes, and Treatment Approaches #DrBeen #CardioVascular ©️Dr Been Clinical Videos
29. Causes of High Output Cardiac Failure #DrBeen #CardioVascular ©️Dr Been Clinical Videos ⚠️These are Full Videos
Showing the 12 most recent of 27 posts we hold for @Dr_beenvideos. 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.
Mentions
Named by 30 registered channels — 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. The 23 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@Doctors_intraining · 12,39421 postsOsmosis Videos
@Medical_osmosis · 20,96219 postsPATHOMA VIDEOS
@pathomaavideos · 141,82519 postsKAPLAN VIDEOS
@kaplanvideos · 93,03616 postsRadiology
@Radiology_videos · 49,42516 postsUsmle Step 1 , 2 & 3
@Usmlestep_1_2 · 27,64316 postsIncision
@incision_videos · 20,29414 postsPhysiology
@Physiology_videos · 71,40914 postsPaediatrics videos & books
@paedsvideos · 50,19912 postsENT Videos & books
@ENTVideos · 37,59110 postsPharmacology
@pharma_vid · 66,72310 postsAnatomy embryology histology videos & books
@anatomyvideoss · 91,5639 postsInternal Medicine Videos & books
@medicinevideoss · 103,1009 postsOphthalmology
@ophthamologyvideos · 32,5279 postsOrthopaedics
@ortho_vid · 29,8989 postsAnesthesia
@anaesthesia_vid · 28,7418 postsDermatology
@dermatology_vid · 29,3638 postsFMGE Dec 2026
@Fmge_Preparation · 13,1798 postsMicrobiology
@microbiology_vid · 57,9298 postsPathology videos & books
@sketchymedical · 90,5758 postsSurgery videos & books
@surgeryvideos · 82,5428 postsHistory & Physical Examination
@physicalexaminationvideos · 30,0507 postsPsychiatry
@psychiatry_vid · 23,1817 posts
Names
Channels on the register whose handles appear in this channel's posts.
@doctorConardFischer · 22,7294 postsIncision
@incision_videos · 20,2944 postsKAPLAN VIDEOS
@kaplanvideos · 93,0364 postsNinja_Nerd
@ninja_nerdy · 13,1914 postsPATHOMA VIDEOS
@pathomaavideos · 141,8254 postsHistory & Physical Examination
@physicalexaminationvideos · 30,0504 postsPLAB, MRCP, MRCS, NBME
@Plab_MRcp · 69,5714 postsUWorld 2026 USMLE
@U_World · 139,8294 postsDoctor in training
@Doctors_intraining · 12,3943 postsOsmosis Videos
@Medical_osmosis · 20,9623 postsNEET PG 2026 Counseling
@NeetPG2026_counselling · 32,1983 postsPhyseo videos
@physeo_videoss · 10,2283 postsUsmle Step 1 , 2 & 3
@Usmlestep_1_2 · 27,6433 postsAnatomy embryology histology videos & books
@anatomyvideoss · 91,5632 postsBiochemistry Videos & Books
@biochemistry_videos · 62,9542 postsFMGE Dec 2026
@Fmge_Preparation · 13,1792 postsForensic medicine
@forensicmedicine_videos · 29,0332 postsMicrobiology
@microbiology_vid · 57,9292 postsNEET SS | INI SS | 2026 | DM | Mch | Prep Group
@Neet_SS · 38,4342 postsOphthalmology
@ophthamologyvideos · 32,5272 postsPaediatrics videos & books
@paedsvideos · 50,1992 postsPhysiology
@Physiology_videos · 71,4092 postsPYQ Channel - NEET PG , FMGE , INICET
@PYQ_CHANNEL · 82,5182 postsSurgery videos & books
@surgeryvideos · 82,5422 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
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 2
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@Dr_beenvideos named 2 handles 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 17 posts, 8 August 2026 – 19 August 2026 · confirmed gone 4 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 17 posts, 8 August 2026 – 19 August 2026 · confirmed gone 3 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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.
@Medical_osmosis · 20,962
Telegram ranks this channel #6 of 77 here — alongside 76 others — read 25 September 2026
@Dr_Najeeb_Videos_Free · 53,111
Telegram ranks this channel #13 of 62 here — alongside 61 others — read 26 August 2026
@DBMCI_ONE1 · 32,195
Telegram ranks this channel #16 of 43 here — alongside 42 others — read 9 September 2026
@incision_videos · 20,294
Telegram ranks this channel #50 of 86 here — alongside 85 others — read 30 September 2026
@USMLEWorldStep1 · 96,441
Telegram ranks this channel #54 of 78 here — alongside 77 others — read 26 August 2026
@USMLEPhyseo · 32,463
Telegram ranks this channel #56 of 84 here — alongside 83 others — read 5 September 2026
@Osmosis2024 · 23,455
Telegram ranks this channel #61 of 83 here — alongside 82 others — read 18 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 13 November 2026 — this entry's latest reading, not the date you are reading this.
“Dr Been” (@Dr_beenvideos), 11,748 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/Dr_beenvideos.
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.