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 42% 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
13 measurements spanning 38 days, net +28. 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 9,566–9,618 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Sept 2026, 04:16
9,605
-7
10 Sept 2026, 05:57
9,612
+13
4 Sept 2026, 20:58
9,599
+16
1 Sept 2026, 11:25
9,583
+1
29 Aug 2026, 16:14
9,582
-1
27 Aug 2026, 01:26
9,583
+5
24 Aug 2026, 06:02
9,578
+6
20 Aug 2026, 21:04
9,572
-2
17 Aug 2026, 14:58
9,574
-5
14 Aug 2026, 05:28
9,579
+1
11 Aug 2026, 05:24
9,578
+2
8 Aug 2026, 07:15
9,576
-1
7 Aug 2026, 14:16
9,577
first reading
Engagement
60 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 33 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.40%
avg views ÷ 9,605 subscribers
Avg views / post
614
23 posts measured
Reaction rate
0.575%
reactions ÷ views · ER floor
Posts in window
25
of 60 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 21 of 23 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
60 (30 July 2026 – 28 August 2026)
Views total
14,128
Reactions total
74
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 05:51 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
1h 49m
Average length
6m 51s
Measured directly from 16 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
212 reactions across 49 posts, in 7 distinct kinds. The most used accounts for 71.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
152
71.7%
🔥
43
20.3%
👍
12
5.66%
🤩
2
0.943%
❤🔥
1
0.472%
🐳
1
0.472%
🥰
1
0.472%
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 49 of the 60 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 212 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 60 most recent posts we hold, published 30 July 2026 to 28 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.
Как выглядит работа ветеринарного патолога?
Биопсии, вскрытия, подготовка материала для гистологических исследований, работа с макро- и микропрепаратами и большой архив самых разных находок.
В видео Анастасия Литвинова, патолог ветеринарной клиники «Белый Клык», показывает свою работу и рассказывает, почему морфологическая диагностика важна в ветеринарной медицине и сколько нюансов скрывается за подготовкой качеств…
Шустрова Анастасия, специалист по поведению животных, ветеринарный врач-диетолог, эксперт по научной коммуникации — рассказывает о благополучии животных.
Отрывок из лекции «Ветврач и зоопсихолог — две стороны медали одной помощи».
🔗 Полная версия лекции
Хочется уйти из общего ассистирования в стоматологию, но непонятно, с чего начинать?
У ассистента уже может быть хорошая база: работа с пациентами, выполнение назначений, подготовка к манипуляциям, мониторинг состояния, взаимодействие с врачом. Но стоматология добавляет свои задачи, оборудование и навыки, которые нужно освоить отдельно.
Как подготовить стоматологический кабинет? Какие инструменты понадобятся врачу?…
Кардиология и пульмонология встречаются у одного пациента гораздо чаще, чем хотелось бы.
Поэтому на продвинутый модуль «Пульмонология для всех» регулярно приходят не только терапевты, но и ветеринарные кардиологи.
Одышка и тахипноэ, интерстициальные заболевания лёгких, патология плевры, лёгочная гипертензия — это те ситуации, где понимание респираторной патологии помогает шире смотреть на пациента и точнее интерпре…
✳️❎❎🌐 Пополнение Подписки СДО!
В пакет подписки добавили запись конференции «Коморбидные онкопациенты».
Вы узнаете больше о пневмонии у онкопациентов, хронических заболеваниях кишечника, ХБП, об особенностях анестезиологического пособия у онкопациентов разного возраста и состояния, о трудностях ассистента при работе с хроническими онкопациентами.
Тем, у кого ещё нет нашей Подписки на СДО, напоминаем, что подписка …
На сентябрьском курсе по УЗИ освободилось 1 место!
Если вы планировали попасть на «Ультразвуковую диагностику собак и кошек: базовый уровень», сейчас есть возможность присоединиться к группе.
Это 6 дней очного обучения с Зоей Видяновой и Габриелой Имберт. Курс начинается с основ: физики УЗИ, настроек аппарата, артефактов и протокола исследования, а затем участники последовательно разбирают УЗИ органов брюшной полос…
Напоминаем про второй модуль курса подготовки врача-кардиолога, который начнется через 2 недели!
Второй модуль рассчитан на будущих кардиологов, врачей ОРИТ, врачей визуальной диагностики.
❗️Прохождение второго модуля без первого возможно только по результатам предварительного тестирования. Для получения доступа к тесту, напишите на нашу почту [email protected].
По окончании курса возможно прохождение стажировки на ка…
Продвинутый остеосинтез: три дня практики с Андреем Комаровым.
24 ноября в Образовательном центре КВС стартует трёхдневный практический мастер-класс «Остеосинтез собак и кошек: продвинутый уровень».
Курс рассчитан на врачей, которые уже знакомы с базовыми принципами остеосинтеза и хотят освоить более сложные техники лечения переломов. Если вы не проходили базовый курс Андрея Комарова, присоединиться тоже можно — по…
Запись лекции "Постоперационный делирий у собак и кошек".
Лекцию читает: Куликова (Кабанова) Наталия, ветеринарный врач-анестезиолог ветеринарной клиники Центр
Обсудим:
🌟Современные взгляды на предикторы развития
🌟Дифференциальная диагностика: как отличить делирий от болевого синдрома
🌟Протоколы экстренной помощи
🌟Профилактика в предоперационный период
Приятного просмотра! 💙
Вчера, 23 августа, отмечался Международный день слепых собак (International Blind Dog Day).
Мы решили не пропускать эту дату, потому что она напоминает о важной вещи: потеря зрения сама по себе не означает потерю качества жизни.
International Blind Dog Day появился в 2017 году благодаря Саре Хорн из Великобритании и её слепому джек-рассел-терьеру Шэмми.
Одна из целей этой даты — изменить представление о слепых и с…
🎓 Поколение VET — старт твоей карьеры в ветеринарии!
Ты студент 3–5 курса ветеринарного вуза или выпускник 2025 года? Хочешь уверенно начать практику с реальными знаниями и навыками?
Присоединяйся к бесплатному дистанционному курсу «Поколение VET» от Образовательного центра Коллегии ветеринарных специалистов.
Что тебя ждёт:
🔹Обучение неотложной помощи собакам и кошкам
🔹Разбор основных синдромов и симптомов в пра…
🔥2
Showing the 12 most recent of 60 posts we hold for @eduvetru. 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 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.
Как вы думаете, может ли синусовая аритмия у собак быть вариантом нормы?
Да90%
Нет11%
Shares as published, totalling 101%. 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 60 most recent posts we hold, published 30 July 2026 to 28 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.
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.
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.
ВЕТКЭТ @vetcatru · 80,274 Telegram ranks this channel #25 of 85 here — alongside 84 others — read 15 September 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 14 September 2026 — this
entry's latest reading, not the date you are reading this.
“EDUVET.RU” (@eduvetru), 9,605 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/eduvetru.
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.