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Channel
KAPLAN VIDEOS
@kaplanvideos
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
93,602subscribers
-73 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001244528005 |
|---|---|
| Type | Channel |
| Username | @kaplanvideos |
| Description | Contact admin @murtazakuchay for any Queries/promotion/copyright issue |
| Created | Between 1 March 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/kaplanvideos |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 08:04 | 93,602 | +1 |
| 14 Aug 2026, 01:43 | 93,601 | -5 |
| 12 Aug 2026, 19:27 | 93,606 | +3 |
| 11 Aug 2026, 16:22 | 93,603 | -22 |
| 10 Aug 2026, 17:16 | 93,625 | -3 |
| 9 Aug 2026, 18:11 | 93,628 | -15 |
| 8 Aug 2026, 16:23 | 93,643 | -10 |
| 7 Aug 2026, 15:31 | 93,653 | -9 |
| 6 Aug 2026, 14:14 | 93,662 | -13 |
| 6 Aug 2026, 02:16 | 93,675 | first reading |
Engagement
20 posts held, back to 13 July 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 23 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.80%
- avg views ÷ 93,602 subscribers
- Avg views / post
- 5,430
- 1 post measured
- Reaction rate
- 0%
- reactions ÷ views · ER floor
- Posts in window
- 1
- of 20 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 25 July 2026 |
|---|---|
| Posts held | 20 (13 July 2025 – 25 July 2026) |
| Views total | 5,430 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 20:29 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
- 7
- Videos
- 455
- Links
- 4
Lifetime counters from Telegram’s own channel header, read 15 August 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
- 3h 31m
- Average length
- 13m 14s
Measured directly from 16 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.
Reaction mix
116 reactions across 13 posts, in 7 distinct kinds. The most used accounts for 85.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 99 | 85.3% | |
| 👍 | 7 | 6.03% | |
| 👏 | 5 | 4.31% | |
| ❤🔥 | 2 | 1.72% | |
| 🔥 | 1 | 0.862% | |
| 😁 | 1 | 0.862% | |
| 🥰 | 1 | 0.862% |
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 18 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 116reactions 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 13 July 2025 to 25 July 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
✅📱☄️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/communitymedicin…
❤18👏1🥰1
Since Telegram is banned in INDIA for a while due to NEET UG ISSUE We are switching to WhatsApp for Updates Follow the Doctor usmle channel on WhatsApp: https://whatsapp.com/channel/0029Va5uYgUKGGGNpDS2LJ2X
❤8
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 …
❤35😁1
#Surgery, #Trauma
❤14👍2👏2🔥1
#Surgery, #Trauma
👍5❤2👏2
#Surgery, #Trauma
#Surgery, #Trauma
❤2
#Surgery, #Trauma
❤3
#Surgery, #Trauma
❤4
#Surgery, #Trauma
#Surgery, #Trauma
❤5
Showing the 12 most recent of 20 posts we hold for @kaplanvideos. 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.
Citation-graph rank
Citation-graph rank — 186,569 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 31 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 24 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 · 12,40719 postsDr Been
@Dr_beenvideos · 11,53515 postsOsmosis Videos
@Medical_osmosis · 20,80215 postsIncision
@incision_videos · 19,47010 postsPATHOMA VIDEOS
@pathomaavideos · 139,78410 postsGoljan audios
@goljan_audioss · 10,0249 postsUsmle Step 1 , 2 & 3
@Usmlestep_1_2 · 27,3528 postsFMGE Dec 2026
@Fmge_Preparation · 13,1256 postsOphthalmology
@ophthamologyvideos · 32,0625 postsHistory & Physical Examination
@physicalexaminationvideos · 24,9845 postsPhysiology
@Physiology_videos · 71,6915 postsRadiology
@Radiology_videos · 49,7545 postsAnatomy embryology histology videos & books
@anatomyvideoss · 90,8174 postsBiochemistry Videos & Books
@biochemistry_videos · 63,0554 postsForensic medicine
@forensicmedicine_videos · 28,7074 postsInternal Medicine Videos & books
@medicinevideoss · 103,5254 postsMicrobiology
@microbiology_vid · 57,5504 postsOncology
@oncology_vid · 17,5454 postsOrthopaedics
@ortho_vid · 29,9114 postsPaediatrics videos & books
@paedsvideos · 50,3684 postsPharmacology
@pharma_vid · 66,1224 postsPsychiatry
@psychiatry_vid · 22,9714 postsPathology videos & books
@sketchymedical · 90,2844 postsSurgery videos & books
@surgeryvideos · 82,9024 posts
Names
Channels on the register whose handles appear in this channel's posts.
@Doctors_intraining · 12,4072 postsDr Been
@Dr_beenvideos · 11,5352 postsGoljan audios
@goljan_audioss · 10,0242 postsIncision
@incision_videos · 19,4702 postsOsmosis Videos
@Medical_osmosis · 20,8022 postsPATHOMA VIDEOS
@pathomaavideos · 139,7842 postsHistory & Physical Examination
@physicalexaminationvideos · 24,9842 postsPLAB, MRCP, MRCS, NBME
@Plab_MRcp · 69,9372 postsUWorld 2026 USMLE
@U_World · 136,2152 postsUsmle Step 1 , 2 & 3
@Usmlestep_1_2 · 27,3522 postsAnatomy embryology histology videos & books
@anatomyvideoss · 90,8171 postBiochemistry Videos & Books
@biochemistry_videos · 63,0551 postCommunity Medicine
@communitymedicinevideos · 41,4931 postDermatology
@dermatology_vid · 29,5141 postENT Videos & books
@ENTVideos · 36,8071 post🤑 | SIGNALS
@Medical_lecturio · 6131 postInternal Medicine Videos & books
@medicinevideoss · 103,5251 postMicrobiology
@microbiology_vid · 57,5501 postObsterics & Gynecology
@Obs_gynee · 24,8491 postOphthalmology
@ophthamologyvideos · 32,0621 postPhysiology
@Physiology_videos · 71,6911 postPYQ Channel - NEET PG , FMGE , INICET
@PYQ_CHANNEL · 79,9801 postRadiology
@Radiology_videos · 49,7541 postSurgery videos & books
@surgeryvideos · 82,9021 post
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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“KAPLAN VIDEOS” (@kaplanvideos), 93,602 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/kaplanvideos.
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.