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Channel

CHRISTMEDSCHOOL

@christmedschool

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

6,646subscribers

+628 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001247855498
TypeChannel
Username@christmedschool
Description👩🏼‍⚕️Онлайн-школа будущих врачей с лицензией 👩🏼‍⚕️ 🔥Уникальные методики обучения 📚Курсы и интенсивы для учебы без стресса 🔗 https://clck.ru/37rbNf Служба заботы: @christmedschool_support
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/christmedschool

Topic

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 96% 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

5,9996,6716,3357 August 2026 — 6,018 subscribers7 August 2026 — 6,018 subscribers7 August 2026 — 6,019 subscribers10 August 2026 — 6,009 subscribers13 August 2026 — 5,999 subscribers16 August 2026 — 6,054 subscribers19 August 2026 — 6,041 subscribers22 August 2026 — 6,075 subscribers25 August 2026 — 6,076 subscribers28 August 2026 — 6,077 subscribers31 August 2026 — 6,073 subscribers4 September 2026 — 6,066 subscribers9 September 2026 — 6,075 subscribers13 September 2026 — 6,090 subscribers17 September 2026 — 6,194 subscribers25 September 2026 — 6,645 subscribers4 October 2026 — 6,667 subscribers11 October 2026 — 6,669 subscribers14 October 2026 — 6,671 subscribers18 October 2026 — 6,660 subscribers21 October 2026 — 6,652 subscribers24 October 2026 — 6,645 subscribers27 October 2026 — 6,639 subscribers29 October 2026 — 6,645 subscribers1 November 2026 — 6,653 subscribers4 November 2026 — 6,646 subscribers6,6467 August 20264 November 2026
26 measurements spanning 89 days, net +628. 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 5,898–6,772 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
4 Nov 2026, 12:386,646-7
1 Nov 2026, 18:216,653+8
29 Oct 2026, 20:386,645+6
27 Oct 2026, 04:186,639-6
24 Oct 2026, 07:176,645-7
21 Oct 2026, 15:086,652-8
18 Oct 2026, 01:186,660-11
14 Oct 2026, 16:286,671+2
11 Oct 2026, 08:596,669+2
4 Oct 2026, 19:576,667+22
25 Sept 2026, 10:206,645+451
17 Sept 2026, 08:176,194+104
13 Sept 2026, 15:006,090+15
9 Sept 2026, 14:366,075+9
4 Sept 2026, 03:186,066-7
31 Aug 2026, 09:326,073-4
28 Aug 2026, 05:256,077+1
25 Aug 2026, 16:056,076+1
22 Aug 2026, 17:526,075+34
19 Aug 2026, 14:526,041first reading

Engagement

31 posts held, back to 24 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 13 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.24%
avg views ÷ 6,646 subscribers
Avg views / post
415
16 posts measured
Reaction rate
1.16%
reactions ÷ views · ER floor
Posts in window
17
of 31 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. It is computed over the 13 of 16 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 November 2026
Posts held31 (24 July 2026 – 5 November 2026)
Views total6,638
Reactions total65
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 01:06 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
≈4,190
Videos
≈486
Links
≈927

Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
7m 00s
Average length
1m 10s

Measured directly from 6 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

82 reactions across 19 posts, in 7 distinct kinds. The most used accounts for 81.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6781.7%
👍67.32%
🤣33.66%
💘22.44%
🥰22.44%
❤‍🔥11.22%
🔥11.22%

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 20 of the 31 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 82 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 31 most recent posts we hold, published 24 July 2026 to 5 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: 2 of 17 posts held from the last 30 days (11.8%) 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).

5 Nov 2026, 18:53 UTC151 viewsread 6 November 2026
Photo

Ой, а что там? 🫣 СКИДКИ В CHRISTMEDSCHOOL🔥 10-12 ноября промокод РАСПРОДАЖА даст тебе скидку на все курсы (кроме консультаций преподавателей): 10 ноября - 30% 11 ноября - 25% 12 ноября - 20% 🔗 Не пропусти https://christmedschool.com

3 Nov 2026, 18:58 UTC334 views3 reactionsread 6 November 2026
Photo

Как готовиться к экзамену по 20 минут в день, а не за три бессонные ночи? 📚 Знакомая ситуация: до экзамена осталось три дня, конспекты не разобраны, половина тем еще не изучена, а впереди несколько бессонных ночей? Но что, если готовиться понемногу каждый день? Всего 20 минут в день за два месяца превращаются в 20 часов подготовки! И это без ночных марафонов с учебниками. Причем найти эти 20 минут проще, чем каже…

❤3

2 Nov 2026, 18:32 UTC380 views3 reactionsread 6 November 2026
Photo

Разбираем 🔠🔠🔠🔠🔠🔠 В эмбриологии человека формирование опорно-двигательного аппарата и покровов тела берёт свое начало на этапе дифференцировки мезодермы. Ключевым событием этого периода является сегментирования парааксиальной мезодермы Продолжение читайте в статье на сайте ↪️ https://christmedschool.com/news/gistologiya/somity.html

❤2👍1

1 Nov 2026, 13:03 UTC394 views0 reactionsread 6 November 2026
Photo

😵‍💫РЕДКИЙ ДИАГНОЗ С ОБЫЧНЫМИ СИМПТОМАМИ: разбираем синдром Игла-Стерлинга на примере реального пациента

31 Oct 2026, 17:56 UTC419 views3 reactionsread 6 November 2026

Это то, что вам точно пригодится 🔥🔥🔥🔥

❤3

31 Oct 2026, 17:51 UTC415 views1 reactionsread 6 November 2026
Video

Сдаешь гисту в эту сессию? Тогда наш атлас экзаменационных препаратов — твоя палочка-выручалочка! Атлас идеально подойдет как для быстрого повторения материала перед экзаменом, так и для планомерной подготовки и разбора темы в течение года. Как говорит наш преподаватель гистологии Никита — если качественно разобрать и понять структуру препарата в хорошем качестве, то узнать его в микроскопе на коллке/экзамене не с…

❤1

31 Oct 2026, 15:18 UTC329 views2 reactionsread 6 November 2026

В полночь скидка превратится в тыкву 🎃🔥успевайте ❤️😌

❤2

31 Oct 2026, 07:25 UTC440 views5 reactionsread 6 November 2026
Video

Друзья, всем привет! 🤍 Очень рады видеть столько новых студентов на нашем канале. Поэтому для начала хочется познакомиться поближе. Меня зовут Елена Лазарева. Я основатель Кристовской Мед Скул, преподаватель анатомии в нашей школе и в Медицинском университете Петровского. Так что с некоторыми из вас мы будем видеться особенно часто — анатомии в медицинском предстоит много 😅 Нашей школе уже 7 лет, и всё это время …

❤5

30 Oct 2026, 11:04 UTC434 views3 reactionsread 6 November 2026
File

🎁 Дарим вам майнд-карты по анатомии - большинство проголосовало за этот предмет ♥️А если нужны конспекты и уроки по другим предметам - пишите слово "урок" в @christmedschool_support

❤3

29 Oct 2026, 14:04 UTC580 views7 reactionsread 6 November 2026
Photo

⭐️Ребят, у нас в школе есть подборка с тематическими каналами по разным предметам: Анатомия https://t.me/+VidJwrdQS6Y0Njdi Лучевая диагностика https://t.me/+K0Pl3pxbck42YWNi Фармакология https://t.me/+4SiJsi44sQFlY2U6 Неврология https://t.me/+T72umc0PeIQ1YTQy Биохимия https://t.me/+-8oFlYG7T30yNWNi Канал для абитуриентов https://t.me/+-Qt3eOGp38Y4Yzcy Подписывайся и не пропускай разборы нужных тем ❤️😊 Накидайт…

❤6👍1

Showing the 12 most recent of 31 posts we hold for @christmedschool. 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.

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

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.

Физиология человека
@fiziologii1tj · 28,350
Telegram ranks this channel #15 of 86 here — alongside 85 others — read 16 September 2026
SYNAPSE I СИНАПС
@synapse_channel_1 · 40,200
Telegram ranks this channel #29 of 88 here — alongside 87 others — read 4 September 2026
Анатомия в Кармане
@vrachi_mediki · 19,666
Telegram ranks this channel #35 of 76 here — alongside 75 others — read 29 September 2026
Reclin - live
@reclinlive · 31,479
Telegram ranks this channel #43 of 88 here — alongside 87 others — read 7 September 2026
Медицинский Блог | Медицина
@medproblog · 29,455
Telegram ranks this channel #49 of 82 here — alongside 81 others — read 8 September 2026
Медицинские Книги | Книги
@medprobook · 21,837
Telegram ranks this channel #56 of 83 here — alongside 82 others — read 22 September 2026
MedVaKs
@medvaks · 20,731
Telegram ranks this channel #65 of 77 here — alongside 76 others — read 26 September 2026

This channel appears in 7 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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“CHRISTMEDSCHOOL” (@christmedschool), 6,646 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/christmedschool.

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.