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
60 measurements spanning 92 days, net +317. 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 10,648–11,093 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
7 Nov 2026, 12:54
11,016
+3
6 Nov 2026, 09:31
11,013
+5
5 Nov 2026, 08:17
11,008
+1
4 Nov 2026, 07:17
11,007
-3
3 Nov 2026, 08:30
11,010
+4
2 Nov 2026, 06:56
11,006
+2
1 Nov 2026, 04:58
11,004
-10
31 Oct 2026, 08:04
11,014
-8
30 Oct 2026, 07:48
11,022
-2
29 Oct 2026, 09:35
11,024
+3
28 Oct 2026, 11:19
11,021
-5
27 Oct 2026, 12:27
11,026
+1
26 Oct 2026, 11:55
11,025
-8
24 Oct 2026, 16:57
11,033
+1
23 Oct 2026, 16:06
11,032
-1
22 Oct 2026, 18:30
11,033
+6
21 Oct 2026, 14:39
11,027
-1
20 Oct 2026, 11:05
11,028
-1
19 Oct 2026, 12:39
11,029
-13
17 Oct 2026, 12:58
11,042
first reading
Engagement
22 posts held, back to 28 July 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 49 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
20.6%
avg views ÷ 11,016 subscribers
Avg views / post
2,270
4 posts measured
Reaction rate
1.38%
reactions ÷ views · ER floor
Posts in window
4
of 22 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 27 October 2026
Posts held
22 (28 July 2026 – 27 October 2026)
Views total
9,060
Reactions total
125
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 20:52 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
799
Videos
29
Links
261
Lifetime counters from Telegram’s own channel header, read 7 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.
Reaction mix
551 reactions across 22 posts, in 31 distinct kinds. The most used accounts for 48.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
267
48.5%
🔥
41
7.44%
💅
39
7.08%
👍
25
4.54%
💘
22
3.99%
⚡
19
3.45%
🍾
16
2.90%
👾
13
2.36%
💯
11
2.00%
🍌
9
1.63%
😁
9
1.63%
🤷♀
9
1.63%
🙏
7
1.27%
🤷♂
7
1.27%
❤🔥
6
1.09%
🎉
6
1.09%
🤯
6
1.09%
🥰
6
1.09%
🤪
5
0.907%
🏆
4
0.726%
11 further kinds
24
4.36%
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 22 of the 22 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 551 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 28 July 2026 to 27 October 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: 1 of 4 posts held from the last 30 days (25.0%) 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).
На каком курсе медвуза начинать готовиться к USMLE?
Короткий ответ в карусели, а здесь поговорим о том, зачем всё это.
Готовиться к Step 1 во время учёбы непросто. Пары, сессии, отработки, и параллельно ещё один большой экзамен на английском языке. Бывают недели, когда кажется, что сил хватает только на вуз. Через это проходят почти все, и с Вами всё в порядке.
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Респираторный взрыв и Хроническая гранулематозная болезнь, что важно знать для USMLE?
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Фермент NADPH-оксидаза переносит электрон с NADPH на кислород и образует супероксид (O₂⁻).
Дальше супероксиддисмутаза превращает его в перекись водорода (H₂O₂), а миелопероксидаза соединяет H₂O₂ с хлоридом и получает гипох…
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Что сохранилось:
• все вопросы, клинические задачи, модули и учебные планы;
• аккаунты и оплаченные подписки.
Что восстановить не удалось: история тестов, статистика, прогресс по учебному плану и избранные вопросы. Их придётся начать заново. Н…
Дорогие друзья и студенты платформы apexqbank.ru
По техническим причинам сайт временно недоступен. Приблизительное время ожидания - 2-3 дня
Мы сразу оповестим, как все заработает
Время простоя мы добавим ко всем подпискам!
Если у вас есть срочный вопрос, напишите в личные сообщения канала
Система комплемента это тема, которая выходит далеко за рамки экзамена
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Она разваливается из-за её избытка.
Ролики на YouTube. Чужие колоды. Отрывки First Aid. Посты в телеграме.
Каждый источник по отдельности полезный. Вместе они не складываются ни во что и не имеют никакой ценности
Через полгода такой подготовки ощущение одно: прочитано много, в голове ничего не лежит по полочкам.
Вы не тонете в незнании. Вы тонете в о…
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Первая переменная - текущий багаж знаний. Не то, что Вы когда-то сдавали, а то, что осталось сегодня. Американский студент выходит на dedicated после двух лет pre…
➡️Правильный ответ D; кетоконазол хорошо известен тем, что ингибирует ферменты цитохрома P-450, участвующие в синтезе тестостерона, что приводит к гинекомастии и снижению либидо. А и В являются азолами, но обладают значительно более низким сродством к человеческим ферментам P-450 по сравнению с кетоконазолом. С и Е не влияют на стероидогенез.
❤7⚡6🍾3😎1
Showing the 12 most recent of 22 posts we hold for @ashurovmed. 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.
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.
Shares as published. 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 22 most recent posts we hold, published 28 July 2026 to 27 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.
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 2 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.
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.
SYNAPSE I СИНАПС @synapse_channel_1 · 40,193 Telegram ranks this channel #1 of 88 here — alongside 87 others — read 4 September 2026
USMLE Anki @USMLEAnki · 48,399 Telegram ranks this channel #17 of 71 here — alongside 70 others — read 26 August 2026
Mehlmanmedical channel @mehlmanmedical · 26,674 Telegram ranks this channel #28 of 78 here — alongside 77 others — read 13 September 2026
NBME CMS STEP 2 CK | USMLE @USMLENBME2CK · 74,335 Telegram ranks this channel #36 of 69 here — alongside 68 others — read 26 August 2026
NBME STEP 1 | USMLE 2026 @USMLE_NBME · 21,833 Telegram ranks this channel #41 of 78 here — alongside 77 others — read 22 September 2026
Ordinatura.org | Ординатура орг @ordinatura_org · 24,180 Telegram ranks this channel #41 of 90 here — alongside 89 others — read 16 September 2026
Usmle recalls step 1,2 &3 2025 @usmlerecallshub · 29,792 Telegram ranks this channel #41 of 77 here — alongside 76 others — read 8 September 2026
Medical USMLE @kaplanusmles · 43,653 Telegram ranks this channel #43 of 74 here — alongside 73 others — read 28 August 2026
MRCP ROAD - PART TWO @DrOsamaMrcpPart2 · 18,747 Telegram ranks this channel #44 of 71 here — alongside 70 others — read 5 October 2026
Toothbook @dentistrytextbooks · 20,175 Telegram ranks this channel #46 of 54 here — alongside 53 others — read 29 September 2026
ikhazin @ikhazin · 32,725 Telegram ranks this channel #47 of 64 here — alongside 63 others — read 16 September 2026
MD.school | Медицинский онлайн-университет | Доказательная медицина @medicina_discendi · 21,248 Telegram ranks this channel #52 of 98 here — alongside 97 others — read 25 September 2026
Физиология человека @fiziologii1tj · 28,361 Telegram ranks this channel #53 of 86 here — alongside 85 others — read 16 September 2026
USMLE Rx Videos 2023 | USMLE STEP 1 @USMLERxStep1 · 38,835 Telegram ranks this channel #58 of 74 here — alongside 73 others — read 31 August 2026
Medbooks @supermedbook · 20,876 Telegram ranks this channel #59 of 69 here — alongside 68 others — read 28 September 2026
Pixorize Videos | USMLE Step 1 @USMLEPixorize · 26,524 Telegram ranks this channel #60 of 82 here — alongside 81 others — read 13 September 2026
Dr Dahiliye 📖🚀 @atillauslu · 35,510 Telegram ranks this channel #60 of 60 here — alongside 59 others — read 11 September 2026
Библиотека Умного Медика @smart_medics · 20,222 Telegram ranks this channel #62 of 87 here — alongside 86 others — read 27 September 2026
Клинфарм замес | Евгений Никитин @tgnikitin · 44,121 Telegram ranks this channel #62 of 87 here — alongside 86 others — read 28 August 2026
NBME STEP 1 | USMLE @USMLENBME · 68,794 Telegram ranks this channel #63 of 75 here — alongside 74 others — read 26 August 2026
MedVaKs @medvaks · 20,735 Telegram ranks this channel #64 of 77 here — alongside 76 others — read 26 September 2026
Ninja Nerd Videos @ninjanerdmedical · 32,459 Telegram ranks this channel #65 of 81 here — alongside 80 others — read 6 September 2026
UWorld Step 1 QBank 2024 (USMLE WORLD) @USMLEWorldStep1 · 96,412 Telegram ranks this channel #66 of 78 here — alongside 77 others — read 26 August 2026
Pathoma Videos 2024 | USMLE @USMLEPathoma · 107,781 Telegram ranks this channel #67 of 75 here — alongside 74 others — read 26 August 2026
This channel appears in 36 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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“APEX USMLE | АПЕКС 🏆” (@ashurovmed), 11,016 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/ashurovmed.
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.