Telegram RegisterThe public register of Telegram

Channel

Клинфарм замес | Евгений Никитин

@tgnikitin

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

44,651subscribers

-85 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-1001394478317
TypeChannel
Username@tgnikitin
Created11 September 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/tgnikitin

Growth

44,65144,73644,693.56 August 2026 — 44,736 subscribers7 August 2026 — 44,728 subscribers8 August 2026 — 44,715 subscribers9 August 2026 — 44,693 subscribers10 August 2026 — 44,681 subscribers11 August 2026 — 44,687 subscribers12 August 2026 — 44,674 subscribers13 August 2026 — 44,651 subscribers6 August 202613 August 2026
8 measurements spanning 7 days, net -85. 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 44,638–44,749 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 03:4444,651-23
12 Aug 2026, 05:0244,674-13
11 Aug 2026, 02:0144,687+6
10 Aug 2026, 01:2444,681-12
9 Aug 2026, 03:5244,693-22
8 Aug 2026, 03:0544,715-13
7 Aug 2026, 03:5744,728-8
6 Aug 2026, 08:1944,736first reading

Engagement

19 posts held, back to 18 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
7.12%
avg views ÷ 44,651 subscribers
Avg views / post
3,180
18 posts measured
Reaction rate
1.29%
reactions ÷ views · ER floor
Posts in window
19
of 19 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
WindowRolling 30 days · latest post in window 12 August 2026
Posts held19 (18 July 202612 August 2026)
Views total57,250
Reactions total737
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 20:07 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
36s
Average length
36s

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

698 reactions across 16 posts, in 9 distinct kinds. The most used accounts for 61.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
42761.2%
❤‍🔥13719.6%
👍11616.6%
🔥60.86%
👏50.716%
💯30.43%
🥰20.287%
🤓10.143%
🥴10.143%

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 18 of the 19 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 737reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 18 July 2026 to 12 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
1
across the posts below
Posts paid on
1
of 18 we hold a reading for · 6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tgnikitin. 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 19 most recent posts we hold for this entry, published 18 July 2026 to 12 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.

Recent posts

12 Aug 2026, 09:37 UTC≈1,600 views28 reactionsread 12 August 2026
Photo

Я в шоке, чем обернулись мои лекции в баре 🤯 Я вообще-то думал, что это будет камерный эксперимент Соберемся в баре, разберем сложный клинический кейс, поспорим, пообщаемся — человек 20–30 своих Но… Москва — SOLD OUT Питер — SOLD OUT За несколько дней. А теперь директ завален сообщениями: «Можно еще билет?» «Откройте еще места!» «Мы не успели…» К сожалению, больше мест нет( Но после такой реакции стало понятн

19👍7🥰2

11 Aug 2026, 06:56 UTC≈2,140 views51 reactionsread 12 August 2026
Photo

Как я уверенно назначил антибиотик, который вообще не работал 🤦 У меня в команде есть правило: мы не стыдим врачей за ошибки Потому что оступиться может каждый, вопрос только в том, что мы делаем дальше И говорю я это не с позиции самого умного. Хочу рассказать вам один свой факап, очень показательный 🤡 Однажды в инфекционке меня попросили пересмотреть терапию пациенту. Понимаю: нужна активность против MRSA. А па

32👍9❤‍🔥7💯3

7 Aug 2026, 10:01 UTC≈2,990 views28 reactionsread 12 August 2026
Photo

Важный навык врача, которому почти нигде не учат ☝️ Часто слышу: «врачи не умеют назначать антибиотики» Согласен, проблема имеется, но она не главная. Для меня загвоздка в том, что нас почти не учат клинически мыслить Из-за этого легко начать лечить: — температуру — анализы — КТ — МРТ Клиническое мышление — это умение из хаоса симптомов, анамнеза, осмотра и обследований собрать цельную картину Понять: — что прои

15👍8❤‍🔥5

6 Aug 2026, 14:05 UTC≈2,970 views78 reactionsread 12 August 2026
Photo

Врач нашёл идеального возбудителя, а пациент нашёл реанимацию. Рассказываю 🫠 В прошлой части мы решали, можно ли оставить пациента дома Ставьте ❤️, а я напомню: мужчина, 38 лет. Третий день водянистый стул около пяти раз в сутки, температура 38,2 °C, тахикардия и выраженная реакция на вставание Начали регидратацию под наблюдением. Пациенту стало лучше: давление и пульс выровнялись, жидкость удерживает, мочится Чт

65👍9❤‍🔥4

5 Aug 2026, 12:49 UTC≈2,880 views60 reactionsread 12 August 2026
Photo

Препарат не работает? А пациент его принимал? Недавно я выложил видео, где упомянул фарм-халяльность Половина комментариев была в духе «хаха, лол» А я сижу и думаю: вы серьёзно смеетесь над проблемой? 🫢 Пациенты реально НЕ ПРИНИМАЮТ препараты из‑за состава Допустим, я назначил пациенту лекарство в желатиновой капсуле. С точки зрения рекомендаций всё идеально: препарат, доза, длительность Только пациент не выпил

❤‍🔥2913👍12🔥5🥴1

1 Aug 2026, 09:28 UTC≈3,920 views78 reactionsread 12 August 2026
Photo

Этот антибиотик может отменить контрацепцию 🤯 Коллеги из Эфиопии описали клинический случай: у 24-летней женщины стоял подкожный гормональный имплант — один из самых надёжных методов контрацепции Позже у неё обнаружили туберкулёз лимфатических узлов и назначили лечение с рифампицином Пациентка уточнила, продолжит ли работать имплант. Её заверили, что да. Дополнительную контрацепцию не предложили Через несколько

51👍14❤‍🔥13

31 Jul 2026, 10:33 UTC≈3,560 views20 reactionsread 12 August 2026
Photo

Есть 2 типа рисков: те, которые нельзя предугадать и те, которые нельзя игнорировать Я несколько месяцев ждал фестиваль Outline: — четыре дня в Подмосковье — жизнь в палатке — бесконечная электронщина Заранее освободил выходные, распланировал, кого буду слушать, и сделал работу на две недели вперёд А прямо перед выездом фестиваль отменили Мог ли я предвидеть такое развитие событий? Скорее всего, нет Иногда мож

12👍5❤‍🔥3

30 Jul 2026, 10:52 UTC≈3,400 views65 reactionsread 12 August 2026
Photo

Этот пациент с диареей выглядит не так уж плохо. Отпустите его домой? В первой части мы разобрались, что не всё частое и жидкое — диарея Ставьте ❤️ и допустим, что теперь перед нами она самая: Мужчина, 38 лет. Три дня водянистый стул около пяти раз в сутки. С чего начнем? Спросим, что ел, куда ездил и не заболел ли кто-нибудь дома? Конечно, но чуть позже Сначала нужно понять: его вообще безопасно оставлять дома

53👍6❤‍🔥4🔥1🤓1

29 Jul 2026, 15:09 UTC≈2,500 views29 reactionsread 12 August 2026
Video message

Video message, posted without a caption

❤‍🔥1410👏5

29 Jul 2026, 15:09 UTC≈2,840 views39 reactionsread 12 August 2026
Forwarded from @LancetUniform_channelPhoto

⭐️Евгений Никитин для Lancet: Врач пациенту друг? А вам не кажется, что врачи уже вынуждены чуть ли не бороться с пациентами? При таком количестве мнений о БАДах и «чудо-препаратах», которые обещают столько всего, что звучат убедительнее фактов. А еще — отказ от вакцинации из-за, прости господи, Билла Гейтса, который, кажется, даже не подозревает, что его «мнение» так вдохновляет наших антипрививочников. Иногда это

20❤‍🔥11👍8

28 Jul 2026, 08:34 UTC≈3,180 views26 reactionsread 12 August 2026
Video

Продолжаю заниматься своим здоровьем — и вам советую 😎 Сегодня пришёл на диспансеризацию в московскую поликлинику. Пока проходил обследования, захотелось поговорить о коморбидности Мы все неплохо умеем лечить бронхиты, пневмонии, ИМВП, синуситы, тонзиллиты Проблемы начинаются там, где к основному заболеванию добавляется ещё несколько других При назначении терапии необходимо держать в голове: ➡️ сопутствующие забо

❤‍🔥139👍4

25 Jul 2026, 09:12 UTC≈3,920 views34 reactionsread 12 August 2026
Photo

Разобраться в антибиотиках - изи! В дерме вопросов немного больше Вы тоже теряетесь перед полкой с косметикой или только я такой? Пептиды, кислоты, экстракты, «омоложение на клеточном уровне», «минус морщины», «сияние после первого применения» Как в этом всем понять — где рабочее средство, а где производитель просто вдохновлён своей банкой? Коллеги сделали клевый сервис KremIQ, где косметику проверяют с позиции д

15👍11❤‍🔥8

Showing the 12 most recent of 19 posts we hold for @tgnikitin. 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 edited after publishing

@tgnikitin edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
12 August 2026
Most recent edit
12 August 2026

Citation-graph rank

Citation-graph rank — 201,593 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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 14 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.

Медицинская Россия
@mediamedics · 143,097
Telegram ranks this channel #53 of 95 here — alongside 94 others — read 13 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Клинфарм замес | Евгений Никитин” (@tgnikitin), 44,651 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/tgnikitin.

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.