4 measurements spanning 8 days, net -24. 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 2,978–3,010 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 16:06
2,982
-9
11 Aug 2026, 21:05
2,991
-10
8 Aug 2026, 14:05
3,001
-5
7 Aug 2026, 14:02
3,006
first reading
Engagement
20 posts held, back to 28 May 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
4.00%
avg views ÷ 2,982 subscribers
Avg views / post
119
4 posts measured
Reaction rate
3.77%
reactions ÷ views · ER floor
Posts in window
4
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
Window
Rolling 30 days · latest post in window 6 August 2026
Posts held
20 (28 May 2026 – 6 August 2026)
Views total
477
Reactions total
18
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 00:12 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
52s
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
95 reactions across 19 posts, in 12 distinct kinds. The most used accounts for 26.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
25
26.3%
👍
25
26.3%
🔥
25
26.3%
🎉
6
6.32%
👏
3
3.16%
😢
3
3.16%
🙏
2
2.11%
🤔
2
2.11%
✍
1
1.05%
👨💻
1
1.05%
🤗
1
1.05%
🫡
1
1.05%
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 19 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 95reactions 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 28 May 2026 to 6 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.
Advertising
Ad load
5.00%
1 of 20 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
93.0
over 1 measured post
Median views · rest
264
over 19 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
erid
Posts
First seen
Last seen
2VfnxwThwRV
1
5 August 2026
5 August 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 20 most recent posts we hold, published 28 May 2026 to 6 August 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.
ИИ в медицине уже не «технология будущего». Пора учиться применять его на практике
В новом сезоне ВШОУЗ запускает обновленный курс «ИИ в здравоохранении: клиническая практика, медицинское образование, фармацевтическая деятельность». И в этот раз мы идем дальше работы с готовыми нейросетями.
На курсе вы:
— разберете реальные российские медицинские ИИ-сервисы и научитесь использовать популярные нейросети;
— попробуете…
ИИ в медицине уже не «технология будущего». Пора учиться применять его на практике
В новом сезоне ВШОУЗ запускает обновленный курс «ИИ в здравоохранении: клиническая практика, медицинское образование, фармацевтическая деятельность». И в этот раз мы идем дальше работы с готовыми нейросетями.
На курсе вы:
— разберете реальные российские медицинские ИИ-сервисы и научитесь использовать популярные нейросети;
— попробуете…
Достаточно ли врачу 15 минут на пациента?
В «Российской газете» вышла статья о том, насколько оправдан единый временной норматив приема и какие решения могут помочь врачу уделять больше внимания пациенту, а не заполнению документов.
В обсуждении приняла участие ректор ВШОУЗ, д.м.н. Гузель Эрнстовна Улумбекова.
По ее мнению, проблема 15-минутного приема связана не только с самим нормативом, но и с высокой администра…
Что изменится в работе медицинских организаций с 1 сентября?
До начала осени остается совсем немного времени, а вместе с ней вступает в силу целый ряд изменений, которые затронут работу медицинских организаций.
Среди них:
✔️ новые Правила предоставления платных медицинских услуг;
✔️ обновленная номенклатура должностей медицинских и фармацевтических работников;
✔️ новые квалификационные требования;
✔️ изменения, свя…
Можно ли вернуть человеку голос, если он больше не может говорить?
Исследователи Калифорнийского университета сделали еще один важный шаг в развитии интерфейсов «мозг - компьютер».
Пациент с боковым амиотрофическим склерозом (БАС) почти два года ежедневно использовал нейроинтерфейс дома для общения с близкими, видеозвонков, переписки и обмена сообщениями. За это время система обеспечила более 3800 часов общения.
По…
Эвтаназия в Нидерландах: что изменилось и почему об этом говорит медицинское сообщество?
В Нидерландах впервые официально применили новые правила, позволяющие провести эвтаназию неизлечимо больному ребенку в возрасте от 1 до 12 лет. Почти одновременно были опубликованы данные, согласно которым за последние 25 лет количество случаев эвтаназии в стране увеличилось почти в пять раз.
Что стоит за этими изменениями? Как…
Работа из дома — это всегда благо? Новое исследование Гарварда заставляет задуматься
Удаленная работа давно стала привычной частью нашей жизни. Она экономит время, дает больше гибкости и помогает лучше совмещать работу и личные дела.
Но есть и обратная сторона...
Исследователи Гарвардского университета проанализировали данные более 580 тысяч человек и пришли к выводу, что длительная удаленная работа может усиливать…
Гузель Улумбекова — о будущем искусственного интеллекта в здравоохранении
В «Российской газете» вышла статья «ИИ в здравоохранении: как извлечь больше пользы и минимизировать риски», посвященная итогам дискуссии на ПМЭФ.
Модератором сессии «Искусственный интеллект и здравоохранение: старт дан, как извлечь пользу?» выступила ректор Высшей школы организации и управления здравоохранением, доктор медицинских наук Гузел…
В журнале «ОРГЗДРАВ: новости, мнения, обучение. Вестник ВШОУЗ» публикуются исследования, посвященные актуальным вопросам организации здравоохранения, медицинского образования, цифровой трансформации и внедрения искусственного интеллекта.
Чтобы сделать научные материалы более доступными для широкой профессиональной аудитории, мы начинаем публиковать их на Яндекс.Дзене.
Итак, читайте статью «Внедрение технологий иску…
Во сколько нужно выпить последнюю чашку кофе, чтобы не испортить сон?
Многие уверены, что достаточно отказаться от кофе за пару часов до сна. Но современные исследования говорят о другом.
Метаанализ 24 научных исследований показал: чтобы кофеин практически не влиял на качество сна, последнюю чашку кофе желательно выпивать минимум за 9 часов до отхода ко сну. Например, если вы ложитесь спать в 22:00, кофе лучше зако…
Вышел новый номер журнала «ОРГЗДРАВ: новости, мнения, обучение» №2, 2026
Журнал входит в Перечень рецензируемых научных изданий ВАК Минобрнауки России, в которых публикуются основные результаты диссертационных исследований на соискание ученых степеней кандидата и доктора наук.
В новом выпуске — материалы, посвященные ключевым направлениям развития современного здравоохранения:
📌 Искусственный интеллект в здравоохр…
В «Российской газете» вышел материал о том, как цифровизация меняет взаимодействие пациентов с системой здравоохранения: от дистанционного прикрепления к поликлинике до получения медицинских документов без посещения регистратуры.
Своим экспертным мнением в публикации поделилась ректор Высшей школы организации и управления здравоохранением, доктор медицинских наук Гузель Эрнстовна Улумбекова.
Цифровые сервисы способ…
❤4
Showing the 12 most recent of 20 posts we hold for @vshouz. 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.
Citation-graph rank
Citation-graph rank — 52,443 of 1,480,688entries 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 2 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@vshouz named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@sputniklive named in 1 post, 8 August 2026 – 8 August 2026
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.
“ВШОУЗ” (@vshouz), 2,982 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/vshouz.
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.