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Channel
KAPLAN VIDEOS
@kaplanvideos
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
93,071subscribers
-604 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 | 7 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/kaplanvideos |
Topic
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 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 |
|---|---|---|
| 7 Nov 2026, 22:48 | 93,071 | -11 |
| 6 Nov 2026, 21:57 | 93,082 | -9 |
| 5 Nov 2026, 23:07 | 93,091 | +1 |
| 5 Nov 2026, 00:06 | 93,090 | -3 |
| 3 Nov 2026, 20:40 | 93,093 | +1 |
| 2 Nov 2026, 18:08 | 93,092 | -1 |
| 1 Nov 2026, 21:06 | 93,093 | +6 |
| 31 Oct 2026, 20:26 | 93,087 | -15 |
| 30 Oct 2026, 18:38 | 93,102 | -4 |
| 29 Oct 2026, 20:06 | 93,106 | -14 |
| 28 Oct 2026, 22:56 | 93,120 | -6 |
| 27 Oct 2026, 19:10 | 93,126 | +6 |
| 26 Oct 2026, 18:51 | 93,120 | -8 |
| 25 Oct 2026, 18:36 | 93,128 | +11 |
| 24 Oct 2026, 19:07 | 93,117 | -9 |
| 23 Oct 2026, 16:56 | 93,126 | -3 |
| 22 Oct 2026, 16:51 | 93,129 | -6 |
| 21 Oct 2026, 08:55 | 93,135 | +11 |
| 20 Oct 2026, 08:09 | 93,124 | +16 |
| 19 Oct 2026, 05:38 | 93,108 | first reading |
Engagement
33 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 194 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.98%
- avg views ÷ 93,071 subscribers
- Avg views / post
- 5,560
- 3 posts measured
- Reaction rate
- 0.156%
- reactions ÷ views · ER floor
- Posts in window
- 3
- of 33 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 | 33 (13 July 2025 – 4 November 2026) |
| Views total | 16,690 |
| Reactions total | 26 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 19:50 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
- 6
- Videos
- 455
- Links
- 3
Lifetime counters from Telegram’s own channel header, read 8 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 21m
- Average length
- 13m 03s
Measured directly from 20 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
198 reactions across 23 posts, in 8 distinct kinds. The most used accounts for 88.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 175 | 88.4% | |
| 👍 | 8 | 4.04% | |
| 👏 | 6 | 3.03% | |
| ❤🔥 | 2 | 1.01% | |
| 🔥 | 2 | 1.01% | |
| 😁 | 2 | 1.01% | |
| 🥰 | 2 | 1.01% | |
| 🍌 | 1 | 0.505% |
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 28 of the 33 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 198 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 13 July 2025 to 4 November 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
Telegram’s own ‘edited’ marker: 0 of 3 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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Showing the 12 most recent of 33 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.
Posts recorded as deleted after publishing
We recorded 5 posts on @kaplanvideos as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 5 September 2026
- Most recent seen missing
- 2 October 2026
- Median time before seen missing
- 21 days
- Seen missing in the last 30 days
- 0
Forward network
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.
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 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 · 12,39921 postsOsmosis Videos
@Medical_osmosis · 20,97519 postsPATHOMA VIDEOS
@pathomaavideos · 141,79719 postsDr Been
@Dr_beenvideos · 11,72718 postsRadiology
@Radiology_videos · 49,41116 postsUsmle Step 1 , 2 & 3
@Usmlestep_1_2 · 27,65916 postsIncision
@incision_videos · 20,24114 postsPhysiology
@Physiology_videos · 71,39314 postsPaediatrics videos & books
@paedsvideos · 50,20312 postsENT Videos & books
@ENTVideos · 37,56610 postsPharmacology
@pharma_vid · 66,71410 postsAnatomy embryology histology videos & books
@anatomyvideoss · 91,4809 postsInternal Medicine Videos & books
@medicinevideoss · 103,0889 postsOphthalmology
@ophthamologyvideos · 32,5159 postsOrthopaedics
@ortho_vid · 29,8989 postsAnesthesia
@anaesthesia_vid · 28,7278 postsDermatology
@dermatology_vid · 29,3688 postsFMGE Dec 2026
@Fmge_Preparation · 13,1788 postsMicrobiology
@microbiology_vid · 57,9088 postsPathology videos & books
@sketchymedical · 90,5828 postsSurgery videos & books
@surgeryvideos · 82,5898 postsHistory & Physical Examination
@physicalexaminationvideos · 29,8697 postsPsychiatry
@psychiatry_vid · 23,1707 posts
Names
Channels on the register whose handles appear in this channel's posts.
@clinicamed_community · 2,8906 postsDr Conard Fischer Lectures
@doctorConardFischer · 22,7273 postsDr Been
@Dr_beenvideos · 11,7273 postsIncision
@incision_videos · 20,2413 postsNEET PG 2026 Counseling
@NeetPG2026_counselling · 32,2863 postsNinja_Nerd
@ninja_nerdy · 13,1403 postsPATHOMA VIDEOS
@pathomaavideos · 141,7973 postsHistory & Physical Examination
@physicalexaminationvideos · 29,8693 postsPLAB, MRCP, MRCS, NBME
@Plab_MRcp · 69,5743 postsUWorld 2026 USMLE
@U_World · 139,6313 postsBiochemistry Videos & Books
@biochemistry_videos · 62,9422 postsCommunity Medicine
@communitymedicinevideos · 44,6682 postsDermatology
@dermatology_vid · 29,3682 postsDoctor in training
@Doctors_intraining · 12,3992 postsForensic medicine
@forensicmedicine_videos · 29,0182 postsInternal Medicine Videos & books
@medicinevideoss · 103,0882 postsOncology
@oncology_vid · 17,7142 postsOphthalmology
@ophthamologyvideos · 32,5152 postsPaediatrics videos & books
@paedsvideos · 50,2032 postsPharmacology
@pharma_vid · 66,7142 postsPsychiatry
@psychiatry_vid · 23,1702 postsRadiology
@Radiology_videos · 49,4112 postsPathology videos & books
@sketchymedical · 90,5822 postsSurgery videos & books
@surgeryvideos · 82,5892 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
@kaplanvideos 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 11 posts, 8 August 2026 – 15 August 2026 · confirmed gone 4 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 11 posts, 8 August 2026 – 15 August 2026 · confirmed gone 3 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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.
@medstudy2020 · 6,662#1
@picmonicvideos · 8,731#2
@USMLEWorldStep1 · 96,416#3
@drnotes1 · 3,291#4
@premednotes · 999#5
@Kaplan_Step_2_CK · 4,280#6
@Medstudy_intern · 4,922#7
@USMLEBoardsAndBeyondVideos · 55,828#8
@neuron_doctor · 5,672#9
@Boards_Beyond_videos · 43,081#10
@BoardsandBeyond2024 · 43,190#11
@USMLEPathoma · 107,832#12
@noahgastroenterology · 611#13
@InternalMedicine96 · 4,948#14
@freeMEDICALlectures · 9,233#15
@USMLE_NBME · 21,829#16
@ambosslectures · 13,718#17
@USMLEOnlineMedED · 30,342#18
@usmlerecallshub · 29,793#19
@surgery772 · 11,117#20
@englishquotes10 · 2,079#21
@beautyfalsemom · 1,176#22
@gabayo · 6,246#23
@LegendsAlphas · 19,341#24
@Binance_Liquidations_Alert · 6,514#25
@framko_doctor · 5,868#26
@brainssignals · 26,679#27
@brainsdegens · 16,476#28
@BitcoinMagazineTelegram · 9,790#29
@National_Geographic_magazines · 8,061#30
@nevzorovtv · 1,001,836#31
@CXRcases · 12,087#32
@medicalrefrencess · 53,567#33
@cryptoamanclubpremium · 25,172#34
@Crypto4bailoutNews · 16,753#35
@novelshelf · 13,696#36
@NotatraderENG · 442,357#37
@DailyCryptoGiveaway · 42,532#38
@farmercistjournal0 · 39,857#39
@uchecrypto · 30,123#40
@muscatnonfiction · 66,455#41
@Quotes · 81,609#42
@dogs · 6,451,094#43
@theblueprintnews · 72,379#44
@notcoin · 7,862,365#45
@smpl_app · 1,501,444#46
@monorixofficial · 1,221,275#47
@CEXIO_Announcements · 2,305,479#48
@iceblockchain · 1,170,156#49
@Coin_Strategist · 943,724#50
@blumcrypto · 12,813,201#51
@hamster_kombat · 19,644,695#52
@theyescoin · 5,164,811#53
@tomarket_ai · 5,915,212#54
@proxymtproto · 11,861,556#55
@yurasumy · 2,664,351#56
Read from Telegram’s recommendation API, most recently 26 August 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.
@USMLEWorldStep1 · 96,416
Telegram ranks this channel #21 of 78 here — alongside 77 others — read 26 August 2026
@USMLE_NBME · 21,829
Telegram ranks this channel #53 of 78 here — alongside 77 others — read 22 September 2026
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.
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 7 November 2026 — this entry's latest reading, not the date you are reading this.
“KAPLAN VIDEOS” (@kaplanvideos), 93,071 subscribers as measured 7 November 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.