2 measurements taken within a single day. 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 559–561 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 02:51
560
no change
9 Aug 2026, 19:47
560
first reading
Engagement
18 posts held, back to 19 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
49.9%
avg views ÷ 560 subscribers
Avg views / post
280
18 posts measured
Reaction rate
6.94%
reactions ÷ views · ER floor
Posts in window
18
of 18 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
Window
Rolling 30 days · latest post in window 7 August 2026
Posts held
18 (19 July 2026 – 7 August 2026)
Views total
5,031
Reactions total
349
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Aug 2026, 19:47 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
5m 21s
Average length
36s
Measured directly from 9 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
349 reactions across 18 posts, in 11 distinct kinds. The most used accounts for 47.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
164
47.0%
🔥
81
23.2%
👏
33
9.46%
❤🔥
26
7.45%
🥰
16
4.58%
👍
14
4.01%
😍
7
2.01%
🤗
3
0.86%
🙏
2
0.573%
🤓
2
0.573%
👌
1
0.287%
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 18 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 349reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 19 July 2026 to 7 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 @vrehab_expert. 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 18 most recent posts we hold for this entry, published 19 July 2026 to 7 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.
Как с точки зрения реабилитолога оборудовать комфортное место для щенка:
🔹В первую очередь нужно застелить полы нескользящим покрытием: ковры, рулонное резиновое покрытие, детские ковры-пазлы, коврики для йоги и так далее
🔹Подобрать нескользящие миски. Это могут быть миски с прорезиненным дном, специальный коврик под миски или миски на небольшой подставке
🔹Если вы хотите, чтобы щенок спал с вами в кровати, то необход…
Знаете, что мы иногда слышим от владельцев? "У нас нет такого оборудования, мы не сможем заниматься" 🤔
Так вот: реабилитация и догфитнес идёт за головой, а не за кошельком 💰. 80% упражнений можно делать с тем, что лежит в кладовке 🏠.
Вот наш антикризисный набор, который заменяет профессиональный инвентарь 🛠️:
1. Кавалетти
wildberries.ru/catalog/960886165/detail.aspx?size=1441142577
Замена: палки от швабры/пылесос…
Ходьба назад – отличное упражнение для работы с проприорецепцией, проработки мышц задних лап 🐕💪.
В упражнении активно работают мышцы кора, помогая поддерживать стабильность корпуса и равновесие во время движения ⚖️.
Движение назад требует от собаки большего контроля над телом, чем при обычной ходьбе вперед, поскольку она должна учитывать изменение привычной механики движений 🔄.
Упражнения на ходьбу назад могут быт…
Кавалетти.
Смотрим на привычное упражнение под другим углом. Часть 2 🔥
☝️Для работы в отношении догфитнеса и реабилитации бывает достаточно иметь пару снарядов, основная задача понимать как ими пользоваться и как варьировать.
Макарошка🐶-наша маленькая пациентка с характером
☝️Год назад она уже восстанавливалась у нас после операции на правой лапе – тогда у неё диагностировали разрыв передней крестообразной связки.
🥺К сожалению, через год неприятность повторилась: травма коснулась уже другой лапы.
💪Весь путь к восстановлению занял три недели индивидуальной реабилитации, под нашим неподдельным вниманием: комбинация терапевтических упражн…
✨Как защитить шов в послеоперационный период.
Вы, наверное, слышали, что после операции нужно следить за швом. Особенно важно защитить его от грязи и того, чтобы питомец не разлизывал.
❗️ Почему это важно?
Повреждение шва или его разлизывание — это риск занесения инфекции. В ротовой полости много микробов, и они могут попасть в рану, вызвать воспаление или даже нагноение. Это замедлит заживление и увеличит срок вос…
Секрет счастливой собаки/кошки — разнообразие в её жизни 🐾.
Даже любимое упражнение может превратиться в рутину, если повторять его день за днём 🔄.
Видео показывает простые способы оживить кавалетти! 🎥✨
Пользуйтесь 🩵
🐾 Часто спрашивают: как проходит адаптация к водной дорожке?
Давайте разберёмся!🤗
Процесс включает несколько этапов, и всё зависит от индивидуальных особенностей вашего питомца.
✨После консультации вы получаете назначение на занятие и записываетесь.
✨Что взять с собой: любимые лакомства, игрушки, полотенце и хорошее настроение!
✨За 2-3 часа до водной дорожки лучше не кормить питомца и провести санитарную прогулку…
МИФЫ О ВЕТЕРИНАРНОЙ РЕАБИЛИТАЦИИ 🐾
Вокруг ветеринарной реабилитации до сих пор существует очень много мифов. Именно из-за них владельцы часто обращаются слишком поздно, а ветврачи рекомендуют прием поздно, теряют время, а восстановление питомца становится дольше и сложнее и дороже.
Давайте разберём самые распространённые из них.
❌ Миф 1. Реабилитация нужна только после операции.
На самом деле большинство пациенто…
В связи с недавней ситуацией, о которой я поделилась в запрещенной соц сети, я решила немного раскрыть вопрос кто такой реабилитолог.
Многие из вас сталкивались уже с реабилитологом и имеют представление, что это врач, который следит за здоровьем целого опорного двигательного аппарата питомца в целом, а не массажист и врач по упражнениям.
Спасибо всем ❣️кто присоединился к нашему эфиру с Марком про мифы реабилитации❣️
Мне кажется основные «мифы» мы успели проговорить и даже больше 😁
ТГ канал Марка:
https://t.me/dr_ozolin
Недавно он стал делать подкасты, которые будут полезны всем, кто заботится о своем физическом здоровье!
На ютубе можете найти наши совместные студийные эфиры.
❤🔥12🥰3😍3❤1
Showing the 12 most recent of 18 posts we hold for @vrehab_expert. 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.
Citation-graph rank
Citation-graph rank — 355,429 of 1,480,944entries 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.
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.
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.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“VRehab” (@vrehab_expert), 560 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/vrehab_expert.
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.