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Channel

Кафедра Дралова

@kafedralov1

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Polls · Citations · Declared links · Cite this entry

1,065subscribers

+1 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002185213922
TypeChannel
Username@kafedralov1
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/kafedralov1

Growth

1,0641,0661,0658 August 2026 — 1,064 subscribers8 August 2026 — 1,064 subscribers11 August 2026 — 1,066 subscribers15 August 2026 — 1,065 subscribers8 August 202615 August 2026
4 measurements spanning 7 days, net +1. 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 1,064–1,066 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 03:081,065-1
11 Aug 2026, 15:371,066+2
8 Aug 2026, 03:001,064no change
8 Aug 2026, 02:531,064first reading

Engagement

20 posts held, back to 11 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
36.9%
avg views ÷ 1,065 subscribers
Avg views / post
393
11 posts measured
Reaction rate
4.08%
reactions ÷ views · ER floor
Posts in window
11
of 20 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 4 August 2026
Posts held20 (11 May 20264 August 2026)
Views total4,319
Reactions total176
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 03:00 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
52s
Average length
26s

Measured directly from 2 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

309 reactions across 20 posts, in 12 distinct kinds. The most used accounts for 33.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥10233.0%
❤‍🔥8126.2%
5618.1%
😁258.09%
👏175.50%
👍103.24%
🦄51.62%
🤗41.29%
30.971%
🙏30.971%
20.647%
🏆10.324%

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 20 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 309reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 11 May 2026 to 4 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 20 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kafedralov1. 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 20 most recent posts we hold for this entry, published 11 May 2026 to 4 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

4 Aug 2026, 16:14 UTC143 views16 reactionsread 8 August 2026
Photo

БОЛЕЗНИ ПЕЧЕНИ: О ЧЕМ ВАЖНО ПОМНИТЬ Коллеги, вчера у меня была пара пациентов, основная проблема которых лежала в области болезней печени; а потому я решил отметить несколько моментов, которые считаю важными для нашего общего дела - своего спокойствия и благополучия пациентов. 1️⃣ ОТСУТСТВИЕ СИМПТОМОВ ≠ ОТСУТСТВИЕ ЗАБОЛЕВАНИЯ У большинства пациентов хронические заболевания печени длительное время протекают - бесси

❤‍🔥8🔥421👍1

2 Aug 2026, 13:01 UTC203 views14 reactionsread 8 August 2026
Forwarded from @docdralovPhoto

Профессор из Японии создал лекарство, которое может продлить жизнь кошкам☀️ Профессор Тору Миядзаки создал препарат FeliAIM. Он работает за счёт белка AIM, который помогает почкам животных самостоятельно избавляться от токсичных отходов. Оказалось, что у кошек этот белок работает не так эффективно, как у других животных. Поэтому они часто страдают от хронической почечной недостаточности🥲 В апреле 2026 года препара

❤‍🔥10🔥2👍1👏1

1 Aug 2026, 14:20 UTC274 views15 reactionsread 8 August 2026
Photo

ПАНКРЕАТИТ СО СЛОВОМ «МЯУ»: КЛЮЧЕВЫЕ ОТЛИЧИЯ ХРОНИЧЕСКОГО ПАНКРЕАТИТА КОШЕК Пока мы готовим второй выпуск нашей «Ординаторской», где я буду отвечать на Ваши вопросы (первый выпуск, кстати, можно посмотреть здесь) - хочу немного рассказать о хроническом панкреатите кошек, а именно - напомнить, уточнить, разъяснить. К слову сказать, здесь я писал о хроническом панкреатите собак. Итак, что важно сказать про воспалени

🔥10❤‍🔥2👏2👍1

31 Jul 2026, 13:58 UTC254 views7 reactionsread 8 August 2026
Photo

КРАСНОЯРСК И ГАСТРО - ЭКСПЕРТИЗА (И НЕ ТОЛЬКО!) Друзья, коллеги, приветствую вас! 18 сентября встречаемся в Красноярске на конференции Partners🐶🐱 Приедем отличной командой специалистов: Андрей Багатов, Ярослав Рябинин, Татьяна Рузанова, Евгений Матвеевич Козлов! Будет много доказательной медицины, клинического мышления, непростых клинических случаев и, уверен, хорошего настроения🥳 Со своей стороны подготовил три

❤‍🔥5🔥1🤗1

28 Jul 2026, 08:03 UTC381 views15 reactionsread 8 August 2026

ОРДИНАТОРСКАЯ (№1) | ЧТО НА САМОМ ДЕЛЕ ПРОИСХОДИТ ПРИ ХРОНИЧЕСКОЙ ЭНТЕРОПАТИИ Коллеги, большое дело начато, и очень надеюсь, что оно будет полезным для Вас. «Ординаторская» - это проект, который я давно хотел реализовать, и который про клиническое мышление, сложные вопросы простыми словами и клиническую практику Мне было важно найти ту форму и тот язык, которые будут интересными для меня и полезными для Вас! Перв

🔥7❤‍🔥51👍1🤗1

27 Jul 2026, 17:13 UTC371 views17 reactions1 Starread 8 August 2026
Photo

А завтра у нас большая премьера, которую мы готовили/вынашивали долгое время; посмотрим, как оно вышло, но, кажется, получилось хорошо! Завтра в 11-00 часов😎

❤‍🔥75🔥4👏1

23 Jul 2026, 15:09 UTC622 views28 reactionsread 8 August 2026
Photo

ЛЕЧИЛИ ГАСТРИТ, А ВЫЛЕЧИЛИ ЛЯМБЛИИ! Это правда, Омепразол способен вылечить лямблиоз. А если быть более точным - есть исследование, которое отмечает перспективность этой терапевтической модели. И здесь важно: исследование не равно - клиническая рекомендация, которая меняет наш подход к подобным пациентам и меняет саму практику. Однако, тезис - важный, и его стоит разобрать - критически и с пользой. ИТАК, В ЧЕМ С

9🔥7❤‍🔥63👏2🏆1

19 Jul 2026, 17:00 UTC770 views43 reactionsread 8 August 2026
Photo

ЛЯМБЛИОЗ: КАК ЕГО ПОБЕДИТЬ И ПОЧЕМУ ЭТО НЕ ВСЕГДА УДАЕТСЯ Несмотря на хорошо изученный жизненный цикл Giardia и наличие эффективных препаратов, лямблиоз остается одной из самых частых причин диагностических и терапевтических ошибок в гастроэнтерологии. Чаще всего проблема заключается не в отсутствии эффективных препаратов, а в интерпретации лабораторных тестов, повторном заражении и переоценке роли Giardia как един

🔥2414👏3❤‍🔥2

17 Jul 2026, 16:06 UTC466 views16 reactionsread 8 August 2026
Photo

Отвечаю просто: почему тревожное расстройство и ХВЭ - могут быть двумя звеньями одной цепи. Друзья, я для Вас подготовил большой текст по связи ХВЭ и тревожного расстройства и "закатал" его в формат статьи, потому - что так удобней читать с телефона, можно выделить ключевые места и пр. Очень надеюсь, что Вам понравится обзор, и он даст Вам прозрачного понимания, а почему же эти два друга - идут часто вместе.

🔥5👏4❤‍🔥32👍2

17 Jul 2026, 09:28 UTC410 views2 reactionsread 8 August 2026
Forwarded from @docdralovPoll

К какому лагерю бы примкнули?

  1. Чай, собака, Пастернак🐕🐕🐕49%
  2. Кофе, кошка, Мандельштам🐈🐈🐈55%

The shares total 104%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

2

17 Jul 2026, 09:28 UTC425 views3 reactionsread 8 August 2026
Forwarded from @docdralovPhoto

«Чай, собака, Пастернак» и «кофе, кошка, Мандельштам» Нет, мы не сошли с ума🌼 Это не просто набор слов, это классификация людей от Анны Ахматовой! Представителей первой группы поэтесса считала надежными, оптимистичными и психически стабильными, однако немного поверхностными. Вторых характеризовала как людей более сложных, изысканных, но склонных к депрессии и с подвижными морально-нравственными ценностями.

3

14 Jul 2026, 18:20 UTC541 views20 reactionsread 8 August 2026
Photo

ТРЕВОЖНОЕ РАССТРОЙСТВО У НАШИХ ПОДОПЕЧНЫХ: ПОЧЕМУ ЭТО ВАЖНО ДЛЯ ВРАЧЕЙ - КЛИНИЦИСТОВ. Очень часто в своей практике я вижу пациентов с тревожными или иными поведенческими нарушениями. У большей части из них есть еще и проблемы ЖКТ; о том, как тревожное расстройство связано с ЖКТ (и о том, что с этим делать) - мы еще поговорим в следующем посте; в этой же статье я хочу рассказать о роли матери в развитии тревожного р

❤‍🔥124🔥2👍1👏1

Showing the 12 most recent of 20 posts we hold for @kafedralov1. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

17 Jul 2026, 09:28 UTCAnonymous Poll184 voters

К какому лагерю бы примкнули?

  1. Чай, собака, Пастернак🐕🐕🐕49%
  2. Кофе, кошка, Мандельштам🐈🐈🐈55%

The shares total 104%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 20 most recent posts we hold, published 11 May 2026 to 4 August 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.

Citation-graph rank

Citation-graph rank — 477,586 of 1,481,217entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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.

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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“Кафедра Дралова” (@kafedralov1), 1,065 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/kafedralov1.

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.