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Channel
Medical USMLE
@kaplanusmles
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts recorded as deleted · Polls · Citations · Telegram's recommendations · Cite this entry
43,614subscribers
-964 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 | -1001257421194 |
|---|---|
| Type | Channel |
| Username | @kaplanusmles |
| Description | Here is place to get All Kaplan USMLE 2010, 2014,2015 2019 lecture videos |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 67 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/kaplanusmles |
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 10 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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 |
|---|---|---|
| 12 Nov 2026, 00:17 | 43,614 | -17 |
| 10 Nov 2026, 03:50 | 43,631 | -8 |
| 8 Nov 2026, 19:41 | 43,639 | -14 |
| 7 Nov 2026, 13:25 | 43,653 | -5 |
| 6 Nov 2026, 16:07 | 43,658 | -4 |
| 5 Nov 2026, 15:39 | 43,662 | -7 |
| 4 Nov 2026, 16:35 | 43,669 | -10 |
| 3 Nov 2026, 13:39 | 43,679 | -2 |
| 2 Nov 2026, 13:44 | 43,681 | -18 |
| 1 Nov 2026, 12:55 | 43,699 | -3 |
| 31 Oct 2026, 13:06 | 43,702 | -19 |
| 30 Oct 2026, 13:06 | 43,721 | -16 |
| 29 Oct 2026, 10:49 | 43,737 | -6 |
| 28 Oct 2026, 10:26 | 43,743 | -14 |
| 27 Oct 2026, 07:19 | 43,757 | -5 |
| 26 Oct 2026, 04:39 | 43,762 | -7 |
| 25 Oct 2026, 05:15 | 43,769 | -11 |
| 24 Oct 2026, 08:16 | 43,780 | -6 |
| 23 Oct 2026, 10:27 | 43,786 | +1 |
| 22 Oct 2026, 08:01 | 43,785 | first reading |
Engagement
26 posts held, back to 4 May 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 198 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 26 posts for this entry, the most recent from 10 October 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Photos
- 138
- Videos
- 683
- Links
- 132
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.
Recent posts
🥳🥳🥳Scored 260🥳🥳🥳 ✌️"Every accomplishment starts with the decision to take action. Make the choice to work smarter and achieve your goals." If u don't take the risk u will lose the chance 😎 😇Happy learning to u all👩🎓 📞For details and membership 👑King of recalls @usmle_recall https://t.me/USMLERECALLS2021
🥳🥳🥳Scored 260🥳🥳🥳 ✌️"Every accomplishment starts with the decision to take action. Make the choice to work smarter and achieve your goals." If u don't take the risk u will lose the chance 😎 😇Happy learning to u all👩🎓 📞For details and membership 👑King of recalls @usmle_recall https://t.me/USMLERECALLS2021
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🎙 Welcome to the USMLE Crush Podcast Channel! 🧠📚 Hey future doctors! 👋 Welcome to the USMLE Crush Podcast — your ultimate audio course designed to help you master high-yield Step 1 concepts through real NBME & UWorld-based cases. Each episode simplifies complex topics, reinforces must-know facts, and helps you crush Step 1 with confidence. From immuno to pharm, neuro to pulm — we’ve got it all. 🎧 Listen. Learn. Cr…
Showing the 12 most recent of 26 posts we hold for @kaplanusmles. 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 4 posts on @kaplanusmles 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
- 17 August 2026
- Most recent seen missing
- 5 September 2026
- Median time before seen missing
- 3 days
- Seen missing in the last 30 days
- 0
Polls
The 4 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
A lesion involving which of the following anatomical structures is most likely responsible for this patient's symptoms?
- A. Cerebellopontine angle16%
- B. Foramen magnum13%
- C.Foramen ovale10%
- D.Foramen rotundum7%
- E. Hypoglossal canal23%
- F. Jugular foramen31%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Accumulation of which of the following metabolites is most likely present in this patient's tissues?
- A. Galactocerebroside16%
- B. Globotriaosylceramide7%
- C. Glucocerebroside13%
- D.Glycogen10%
- E. GM2 ganglioside34%
- F. Heparan sulfate6%
- G .Sphingomyelin13%
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Which of the following microbial components is directly responsible for the severity of disease in this patient?
- A. Capsular polysaccharide22%
- B. lmmunoglobulin proteas15%
- C. Lipo-oligosaccharide30%
- D.Lipoteichoic acid10%
- E. Superantigen exotoxin22%
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
The patient most likely suffered from which of the following?
- A. Amyotrophic lateral sclerosis50%
- B. Poliomyelitis18%
- C.Rabies8%
- D.Huntington disease11%
- E. Friedreich ataxia5%
- F. Vitamin 812 deficiency7%
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 26 most recent posts we hold, published 4 May 2023 to 10 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
Names
Channels on the register whose handles appear in this channel's 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.
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.
@usmle_kenn · 3,701#1
@neuron_doctor · 5,696#2
@Kaplan_USMLE2 · 8,685#3
@USMLERECALLS2021 · 30,507#4
@aumedschoolquizzes · 209#5
@premednotes · 999#6
@SurgeryNB · 14,096#7
@USMLEPixorize · 26,558#8
@medicospirach · 7,648#9
@USMLEKaplan · 61,092#10
@Mmmmmm221234 · 37,572#11
@Respiratory_videos · 5,035#12
@USMLEPathoma · 108,158#13
@PixorizeVideo_ATM · 5,236#14
@Buy_Cardiology_videos · 7,253#15
@uworldusmlebook · 8,004#16
@Kaplann_Usmle · 14,181#17
@Arabboard_Abcexam · 5,894#18
@mrcpmaterial2 · 20,774#19
@Kaplan_ATM · 18,323#20
@USMLEPhyseo · 32,463#21
@nephrology_books · 8,362#22
@medicalamboss1 · 5,759#23
@BiochemistryVideoz · 7,044#24
@mehlmanmedical · 26,735#25
@welcome_4 · 12,949#26
@medicalhx · 5,274#27
@Medicos_Premium · 6,657#28
@anatomyvideoss · 91,563#29
@inter_first · 30,388#30
@Mcat_uworld · 7,037#31
@skills_first · 43,566#32
@usmle_Qbankss · 6,931#33
@CBSE_CCSE_SHELF_exam · 8,812#34
@USMLERxStep1 · 38,844#35
@HakimApps_Guideline · 34,129#36
@physiology_yaqob · 33,570#37
@medcloud · 5,217#38
@CorgiUSMLE · 7,770#39
@centralasianuni · 5,747#40
@hajiakbarmedic · 338#41
@CAUstudentcouncil · 2,852#42
@ashurovmed · 11,019#43
@ophth0 · 16,864#44
@neotn3 · 604#45
@CAUAcademic · 1,534#46
@patomauz · 3,439#47
@drshark_asmi · 17,150#48
@Endocrinology_and_Diabetes · 11,123#49
@Histoloogyy · 7,019#50
@USMLEBoardsAndBeyondVideos · 56,014#51
@emergency_note · 3,263#52
@Aseel_Al_Humidi · 11,577#53
@JAMAupdates · 16,998#54
@Respiratory_Updates · 5,281#55
@MedOasis · 26,633#56
@MCQ_MCQ_Fahd · 8,496#57
@CARIOLOGY · 6,731#58
@British_Medical_Journal · 14,169#59
@medwithus · 4,026#60
@CriticalCareUpdates · 20,253#61
@tibbiybaza_uz · 1,377#62
@rubanmed · 555 (as read 28 August 2026)#63
@pathanfisa · 1,083#64
@Umdardaa · 6,133#65
@dermaegitim · 11,070#66
@doctors_farmakologiya · 2,173#67
@medicalethiopia · 2,903#68
@ScientificAmericanPodcasts · 1,879#69
@Uzbneuroscience · 3,465#70
@makeyourselfgreatagainagain · 2,673#71
@INTERNALMEDICINEBOARD · 14,077#72
@iMed_team · 14,869#73
@versatilemedicoendgame · 4,310#74
Read from Telegram’s recommendation API, most recently 28 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.
@USMLERECALLS2021 · 30,507
Telegram ranks this channel #7 of 73 here — alongside 72 others — read 6 September 2026
@anatomyvideoss · 91,563
Telegram ranks this channel #8 of 53 here — alongside 52 others — read 26 August 2026
@uworld_pdfs · 40,219
Telegram ranks this channel #9 of 69 here — alongside 68 others — read 5 October 2026
@USMLEPixorize · 26,558
Telegram ranks this channel #15 of 82 here — alongside 81 others — read 13 September 2026
@USMLEPhyseo · 32,463
Telegram ranks this channel #25 of 84 here — alongside 83 others — read 5 September 2026
@USMLEPathoma · 108,158
Telegram ranks this channel #25 of 75 here — alongside 74 others — read 26 August 2026
@USMLEKaplan · 61,092
Telegram ranks this channel #26 of 74 here — alongside 73 others — read 26 August 2026
@USMLEWorldStep2CK · 60,298
Telegram ranks this channel #34 of 79 here — alongside 78 others — read 26 August 2026
@USMLEWorldStep1 · 96,441
Telegram ranks this channel #38 of 78 here — alongside 77 others — read 26 August 2026
@MedicineCurriculum · 24,545
Telegram ranks this channel #58 of 80 here — alongside 79 others — read 17 September 2026
@MedOasis · 26,633
Telegram ranks this channel #67 of 76 here — alongside 75 others — read 12 September 2026
@doctorhypo · 95,655
Telegram ranks this channel #74 of 86 here — alongside 85 others — read 20 August 2026
This channel appears in 12 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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“Medical USMLE” (@kaplanusmles), 43,614 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/kaplanusmles.
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.