Telegram RegisterThe public register of Telegram
Telegram profile photo for Операционная

Channel

Операционная

@Operation_med

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

26,926subscribers

-431 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001136071157
TypeChannel
Username@Operation_med
Created25 August 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live23 October 2026
Measurements held47
Confirmed unchanged1 time, most recently 23 October 2026
On Telegramt.me/Operation_med

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 83% 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

26,92627,35727,141.56 August 2026 — 27,357 subscribers7 August 2026 — 27,350 subscribers8 August 2026 — 27,349 subscribers9 August 2026 — 27,343 subscribers10 August 2026 — 27,340 subscribers11 August 2026 — 27,333 subscribers12 August 2026 — 27,331 subscribers13 August 2026 — 27,323 subscribers14 August 2026 — 27,311 subscribers15 August 2026 — 27,306 subscribers17 August 2026 — 27,295 subscribers18 August 2026 — 27,286 subscribers19 August 2026 — 27,282 subscribers20 August 2026 — 27,275 subscribers21 August 2026 — 27,271 subscribers22 August 2026 — 27,267 subscribers24 August 2026 — 27,258 subscribers25 August 2026 — 27,251 subscribers26 August 2026 — 27,247 subscribers27 August 2026 — 27,242 subscribers28 August 2026 — 27,238 subscribers30 August 2026 — 27,234 subscribers31 August 2026 — 27,227 subscribers1 September 2026 — 27,219 subscribers2 September 2026 — 27,214 subscribers3 September 2026 — 27,207 subscribers5 September 2026 — 27,197 subscribers9 September 2026 — 27,177 subscribers11 September 2026 — 27,165 subscribers13 September 2026 — 27,149 subscribers15 September 2026 — 27,139 subscribers17 September 2026 — 27,128 subscribers19 September 2026 — 27,119 subscribers26 September 2026 — 27,085 subscribers4 October 2026 — 27,042 subscribers9 October 2026 — 27,015 subscribers13 October 2026 — 26,993 subscribers14 October 2026 — 26,990 subscribers15 October 2026 — 26,986 subscribers16 October 2026 — 26,975 subscribers17 October 2026 — 26,970 subscribers18 October 2026 — 26,963 subscribers19 October 2026 — 26,955 subscribers20 October 2026 — 26,950 subscribers21 October 2026 — 26,941 subscribers22 October 2026 — 26,934 subscribers23 October 2026 — 26,926 subscribers6 August 202623 October 2026
47 measurements spanning 79 days, net -431. 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 26,861–27,422 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 47
Measured (UTC)SubscribersChange
23 Oct 2026, 22:1526,926-8
22 Oct 2026, 22:4926,934-7
21 Oct 2026, 21:2026,941-9
20 Oct 2026, 19:5826,950-5
19 Oct 2026, 20:0826,955-8
18 Oct 2026, 16:4626,963-7
17 Oct 2026, 17:2926,970-5
16 Oct 2026, 17:4626,975-11
15 Oct 2026, 18:0726,986-4
14 Oct 2026, 17:1726,990-3
13 Oct 2026, 05:4726,993-22
9 Oct 2026, 00:0027,015-27
4 Oct 2026, 16:1627,042-43
26 Sept 2026, 17:3527,085-34
19 Sept 2026, 12:4127,119-9
17 Sept 2026, 03:5627,128-11
15 Sept 2026, 03:2127,139-10
13 Sept 2026, 12:1927,149-16
11 Sept 2026, 18:5827,165-12
9 Sept 2026, 06:5927,177first reading

Engagement

153 posts held, back to 30 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 116 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.07%
avg views ÷ 26,926 subscribers
Avg views / post
1,100
59 posts measured
Reaction rate
0.77%
reactions ÷ views · ER floor
Posts in window
59
of 153 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 56 of 59 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 23 October 2026
Posts held153 (30 July 2026 – 23 October 2026)
Views total64,733
Reactions total470
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Oct 2026, 20:35 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

Video runtime
12m 39s
Average length
24s

Measured directly from 32 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

1,087 reactions across 146 posts, in 18 distinct kinds. The most used accounts for 23.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁25023.0%
❤24922.9%
🔥20318.7%
👍10910.0%
😱878.00%
💔393.59%
👏302.76%
🤔262.39%
💯252.30%
🥰171.56%
🤣141.29%
❤‍🔥131.20%
🙏90.828%
🍌60.552%
🕊60.552%
🌚20.184%
⚡10.092%
🐳10.092%

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 147 of the 153 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 1,087 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 153 most recent posts we hold, published 30 July 2026 to 23 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.

Advertising

Ad load
1.31%
2 of 153 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 1 distinct token
Median views · ads
941
over 2 measured posts
Median views · rest
1,060
over 151 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2Vtzqwzgpyq219 August 202623 September 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 153 most recent posts we hold, published 30 July 2026 to 23 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

23 Oct 2026, 14:19 UTC379 views1 reactionsread 23 October 2026
Photo

Пилоэрекция — физиологическая реакция, при которой у основания волос появляются небольшие бугорки. Под кожей находятся крошечные мышцы, связанные с волосяными фолликулами. Когда они сокращаются (например, от холода, эмоций или прикосновений), волоски приподнимаются, создавая эффект "гусиной кожи". Почему это происходит? 1️⃣ Холод – рефлекс, доставшийся нам от предков: приподнятые волосы помогали сохранять тепло. 2️…

🔥1

23 Oct 2026, 08:21 UTC526 views1 reactionsread 23 October 2026

‍Шея — это не просто «держать голову». Это мост вашей нервной системы! 🧠 Место, где супермагистраль встречается с центральным процессором. Речь о шейном отделе и спинном мозге. Шейный отдел — это 7 первых позвонков. Это самая подвижная и самая хрупкая часть позвоночника. Она выдерживает вес нашей головы (около 5 кг!), но при этом позволяет ей поворачиваться, наклоняться и запрокидываться. А внутри этого узкого «то…

🔥1

21 Oct 2026, 14:34 UTC776 views20 reactionsread 23 October 2026
Photo

Творческий подход в медицине👌

😁13👍5👏2

21 Oct 2026, 08:35 UTC770 views6 reactionsread 23 October 2026
Video

Визуальное сравнение эмбриогенеза дельфина и человека:

❤5😱1

19 Oct 2026, 08:50 UTC959 views8 reactionsread 23 October 2026
Photo

Сосуды сердца:

❤‍🔥5🔥2❤1

18 Oct 2026, 14:56 UTC≈1,040 views27 reactionsread 23 October 2026
Photo

Классный принт для футболки!

❤21👍2💯2❤‍🔥1😁1

Showing the 12 most recent of 153 posts we hold for @Operation_med. 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.

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.

Немедик 18+💀
@nemedik18plus · 10,039
#1
Первый медицинский
@pervyimed · 5,145
#2
🔬Ученый и эстет🎨
@verevkin_verevkina · 455 (as read 11 September 2026)
#3
Блокнот нейрофизиолога / Доктор Красильников
@doctorkrasilnikoff · 1,429
#4
М Е Д И Ц И Н А
@medicina_channel · 61,709
#5
Патология 💉🩸
@PATologiamedic · 29,250
#6
Акушерство, Гинекология & Педиатрия
@obstetrics_gynecology_channel · 12,842
#7
Mentor medici
@mentor_medici · 790
#8
Записки Фельдшера 🔞🚑🩸
@paramedic_notes · 6,808
#9
Медики | Анатомия
@khirurg_vrachi · 49,964
#10
Кратко о заболеваниях
@about_diseases · 17,546
#11
Библиотека Умного Медика
@smart_medics · 20,330
#12
Euromed Study (Химия/Биология)
@euromedcenter · 2,107
#13
Неврология и психиатрия
@nervlog · 10,355
#14
ЗАПИСКИ НЕЙРОХИРУРГА
@notes_neurosurgeon · 2,686
#15
Каталог медицинских каналов.
@medical_channels1 · 4,541
#16
Анестезия
@of_anesthesia · 10,802
#17
Двач
@dvachannel · 972,279
#18
Студент Качарова🤍
@StudentKoroleva · 444
#19
ЖЮ 🧡 Videos
@lifeyt · 328,885
#20
Пикабу
@pikabu · 255,028
#21
МЕДМОЛ | Институт Наставничества КубГМУ
@mentoring_kubgmu · 944
#22
уволено
@avansanebudet · 67,270
#23
Злой доктор Филатов
@doc_Filatov · 27,951
#24
📎материалы меда🖇️
@materiallech · 461 (as read 11 September 2026)
#25
Live Nature
@priroda_animal · 112,021
#26
Black History
@Black_History · 93,202
#27
Rat-a-tet🐁
@ratachat · 245
#28
Записки врача
@doctors_memoirs · 30,423
#29
лапки и хвостики
@lapki_hvostiki · 7,182
#30
Голова Медузы🪼
@golovameduza · 23,609
#31
Вирусология
@virus_inform · 2,213
#32
Откровения нарколога
@narco_mind · 13,976
#33
Медицинский блог Сеченова
@medblognomer1 · 24,294
#34
Медицинские лекции книги курсы
@medicinskie_lekcii · 33,918
#35
Animal Planet
@animal_planeta · 117,802
#36
Это интересно!
@very_interesno · 172,224
#37
Архив материалов по Акушерству, Гинекологии и Педиатрии
@archiv_gynecology_and_pediatrics · 10,727
#38
сомнительные медицинские мемы
@som_memes · 10,610
#39
Химия в бутылочке⚗️
@ychemistry · 12,818
#40
Неврология и Психиатрия
@neurology_and_psychiatry · 19,658
#41
Очевидные вещи
@ochewid · 54,928
#42
Гинеколог Мамаева Альбина | Москва
@doc_albinamama · 2,620
#43
АНЕСТЕЗІОЛОГІЯ
@anesthesiology16 · 4,530
#44
МЯСО | Мужская кухня
@mensreceipts · 39,592
#45
Я СТУДЕНТ МЕДИК
@student_medik · 23,436
#46
Врач превентивной медицины | dr.anastasia_s
@dranastasia_s · 7,116
#47
Архив материалов по Неврологии и Психиатрии
@archivbooks_neurology · 14,522
#48
Nature Science
@naturesciencetg · 19,412
#49
Садись, пять!
@beststudentsofKubSMU · 209
#50
Yaplakal.com
@yaplakal · 420,386
#51
Natures
@naturestg · 7,646
#52
Шахматист
@go_chess · 904
#53
Toşkent davlat tibbiyot universiteti | rasmiy
@tashmeduni · 20,922
#54
Такая себе биология
@takaia_sebe_biologiya · 5,415
#55
Химики
@chemistrytg2021 · 31,795
#56
Студенческий совет ТГМУ | TDTU Talabalar kengashi
@studsovettma · 1,785
#57
Гром в Удмуртии
@Grom_udm · 1,175
#58
English Jokes
@anglijski_perevod · 16,690
#59
Всратая живность
@zookek · 11,255
#60
Ясно Понятно
@ya_pon · 6,418
#61
МАСТЕР
@macters · 232,462
#62
Мир и Животные
@video2 · 35,625
#63
Дом ужасов
@House_of_Nightmares · 2,026
#64
Поворот на Право
@povorotnapravo · 50,756
#65
National Geographic
@Nationall_Geoographic · 49,870
#66
Водитель
@avtovodit · 46,797
#67
MEDulla
@medullachanal · 209
#68
Будущее XXI века
@future_XXI · 4,323
#69
Астигматизм агностика
@astigagno · 207
#70
Nastasia Med Life🦔
@nastasik_med_lifestyle_diary · 412
#71

Read from Telegram’s recommendation API, most recently 11 September 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.

Медики | Анатомия
@khirurg_vrachi · 49,964
Telegram ranks this channel #12 of 57 here — alongside 56 others — read 11 September 2026
Злой доктор Филатов
@doc_Filatov · 27,951
Telegram ranks this channel #34 of 86 here — alongside 85 others — read 10 September 2026
Голова Медузы🪼
@golovameduza · 23,609
Telegram ranks this channel #43 of 80 here — alongside 79 others — read 18 September 2026
Nature Science
@naturesciencetg · 19,412
Telegram ranks this channel #80 of 88 here — alongside 87 others — read 1 October 2026

This channel appears in 4 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 23 October 2026 — this entry's latest reading, not the date you are reading this.

“Операционная” (@Operation_med), 26,926 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/Operation_med.

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.