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 12 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 why it has no browse page of its own yet.
Growth
14 measurements spanning 43 days, net +103. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 7,457–7,596 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 13:42
7,578
-2
14 Sept 2026, 10:00
7,580
+14
11 Sept 2026, 00:18
7,566
+19
5 Sept 2026, 15:22
7,547
+2
1 Sept 2026, 22:15
7,545
+6
30 Aug 2026, 08:24
7,539
+7
27 Aug 2026, 02:03
7,532
+13
24 Aug 2026, 11:44
7,519
+2
20 Aug 2026, 14:26
7,517
+10
17 Aug 2026, 23:13
7,507
+10
14 Aug 2026, 14:28
7,497
+5
10 Aug 2026, 22:18
7,492
+19
7 Aug 2026, 17:41
7,473
-2
6 Aug 2026, 20:03
7,475
first reading
Engagement
14 posts held, back to 22 March 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 17 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 14 posts for this entry, the most recent from 13 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
55s
Average length
55s
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.
Reaction mix
1,337 reactions across 14 posts, in 5 distinct kinds. The most used accounts for 54.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
731
54.7%
🔥
503
37.6%
👍
78
5.83%
🥰
24
1.80%
😇
1
0.075%
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 14 of the 14 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 1,337 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 22 March 2026 to 13 August 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.
Telegram Stars
Stars received
3
across the posts below
Posts paid on
3
of 14 we hold a reading for · 21%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @CorgiUSMLE. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 14 most recent posts we hold for this entry, published 22 March 2026 to 13 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Ребята, всем привет!
Сообщение для тех, кто подаётся в MATCH в этом сентябре в патологию в этом году (у вас уже есть токен для ERAS). Я готов взять 2-3 аппликантов на менторство в этот сезон. Посмотрю полностью вашу заявку и дам обратную связь, проведём одну сессию МОК интервью. Бесплатно.
Я PGY-2 AP/CP в University of Rochester Medical Center. В прошлом году я участвовал в отборе и интервью аппликантов в нашу прог…
🎥 Для тех, кто пропустил вебинар, запись доступна по ссылке: https://www.virtualpathsig.org/events-webinars/v/fall-symposium-2026-applying-pathology-img-residents-qa-panel
Получилась замечательная встреча. Мне очень нравится, когда собираются люди, которые горят своим делом и любят помогать другим! От всей души рекомендую следить за обновлениями проекта PathSIG 🙏
Доброе утро! ☀️
Приглашаем вас на сегодняшний вебинар от PathSIG, где Аня и другие ребята поделятся своим опытом поступления в резидентуру по патологии в качестве IMG.
До встречи на вебинаре! 🔬👩🏻💻
Ссылка для регистрации: https://apcprods-org.zoom.us/meeting/register/VA1tb6czS5qsoF-wnlJ8-Q?utm_source=ig&utm_medium=social&utm_content=link_in_bio&fbclid=PAdGRleATWze9wZG9mAmV4dG4DYWVtAjExAHNydGMGYXBwX2lkDzEyNDAyNDU3NDI…
Друзья, всем спасибо за участие в нашей конференции!
▶️ Запись встречи YouTube
🎧 Слушать подкаст на Spotify
Недавно мы провели большую онлайн-встречу, посвящённую пути IMG к поступлению в резидентуру в США. Обсудили много практических вопросов, которые волнуют почти каждого, кто готовится к Match и резидентуре.
На конференции мы разобрали основные этапы подготовки к Match: стажировки, рекомендательные письма, CV, …
“Congratulations, You Have Matched!”
Фраза, ради которой проходят долгий путь каждый, кто мечтает стать врачом в США.
26 апреля в 10:00 (по Нью-Йорку) приглашаем вас на онлайн-конференцию с врачами, которые уже получили Match. 6 спикеров поделятся своим опытом поступления и расскажут о пути к резидентуре🎉
На встрече разберём весь путь по шагам:
- Как искать стажировки;
- LORs;
- CV;
- Interviews и многое другое.
…
Всем привет! Наш с Аней небольшой отчет о конференции USCAP в San Antonio, TX.
1) Я выступал на платформе с своей презентацией, где меня слушали ведущие патологи из США. После такого теперь вообще не страшно выступать. Ещё у меня были два постера, где был более неформальный формат общения и требовались совсем другие навыки. В общем, огромный профессиональный рост.
2) Новые знакомства и будущее проекты. Я пообщался …
Showing the 12 most recent of 14 posts we hold for @CorgiUSMLE. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 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.
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.
USMLE Anki @USMLEAnki · 47,807 Telegram ranks this channel #22 of 71 here — alongside 70 others — read 26 August 2026
NBME CMS STEP 2 CK | USMLE @USMLENBME2CK · 74,586 Telegram ranks this channel #34 of 69 here — alongside 68 others — read 26 August 2026
Usmle recalls step 1,2 &3 2025 @usmlerecallshub · 29,606 Telegram ranks this channel #38 of 77 here — alongside 76 others — read 8 September 2026
Medical USMLE @kaplanusmles · 44,018 Telegram ranks this channel #39 of 74 here — alongside 73 others — read 28 August 2026
NBME STEP 1 | USMLE 2026 @USMLE_NBME · 21,896 Telegram ranks this channel #46 of 78 here — alongside 77 others — read 22 September 2026
PATHOMA VIDEOS @pathomaavideos · 140,339 Telegram ranks this channel #52 of 56 here — alongside 55 others — read 10 September 2026
USMLE Rx Videos 2023 | USMLE STEP 1 @USMLERxStep1 · 38,463 Telegram ranks this channel #52 of 74 here — alongside 73 others — read 31 August 2026
DRPATOLOJİ 🤜 @drpatoloji · 26,393 Telegram ranks this channel #54 of 56 here — alongside 55 others — read 12 September 2026
SYNAPSE I СИНАПС @synapse_channel_1 · 40,119 Telegram ranks this channel #56 of 88 here — alongside 87 others — read 4 September 2026
Pixorize Videos | USMLE Step 1 @USMLEPixorize · 26,192 Telegram ranks this channel #59 of 82 here — alongside 81 others — read 13 September 2026
UWorld Step 2 CK QBank 2022 | USMLE WORLD @USMLEWorldStep2CK · 60,174 Telegram ranks this channel #60 of 79 here — alongside 78 others — read 26 August 2026
NBME STEP 1 | USMLE @USMLENBME · 67,879 Telegram ranks this channel #61 of 75 here — alongside 74 others — read 26 August 2026
UWorld Step 1 QBank 2024 (USMLE WORLD) @USMLEWorldStep1 · 95,761 Telegram ranks this channel #61 of 78 here — alongside 77 others — read 26 August 2026
Pathoma Videos 2024 | USMLE @USMLEPathoma · 104,058 Telegram ranks this channel #65 of 75 here — alongside 74 others — read 26 August 2026
Mehlmanmedical channel @mehlmanmedical · 25,879 Telegram ranks this channel #67 of 78 here — alongside 77 others — read 13 September 2026
BoardsAndBeyondVideos @USMLEBoardsAndBeyondVideos · 53,586 Telegram ranks this channel #69 of 76 here — alongside 75 others — read 26 August 2026
Physeo Videos Step 1 | CK @USMLEPhyseo · 31,965 Telegram ranks this channel #70 of 84 here — alongside 83 others — read 5 September 2026
Pathoma Videos 2026 @Pathoma_Videos · 24,428 Telegram ranks this channel #71 of 74 here — alongside 73 others — read 16 September 2026
First aid 2026 🫡 @first_aid2026 · 24,263 Telegram ranks this channel #72 of 74 here — alongside 73 others — read 17 September 2026
Физиология человека @fiziologii1tj · 26,988 Telegram ranks this channel #72 of 86 here — alongside 85 others — read 16 September 2026
Reclin - live @reclinlive · 30,488 Telegram ranks this channel #73 of 88 here — alongside 87 others — read 7 September 2026
BNB 2026 @BoardsandBeyond2024 · 41,486 Telegram ranks this channel #76 of 83 here — alongside 82 others — read 30 August 2026
Ninja Nerd Videos @ninjanerdmedical · 31,680 Telegram ranks this channel #77 of 81 here — alongside 80 others — read 6 September 2026
Медицинский Блог | Медицина @medproblog · 29,671 Telegram ranks this channel #81 of 82 here — alongside 81 others — read 8 September 2026
This channel appears in 29 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Корги и USMLE” (@CorgiUSMLE), 7,578 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/CorgiUSMLE.
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.