Федеральное государственное бюджетное образовательное учреждение высшего образования «Санкт-Петербургский государственный педиатрический медицинский университет» Министерства здравоохранения Российской
Федерации
#LANCK
Created
8 February 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Local community — 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 82% 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 the other topics.
Growth
57 measurements spanning 89 days, net +237. 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 11,872–12,281 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)
Subscribers
Change
3 Nov 2026, 19:00
12,156
-5
2 Nov 2026, 22:11
12,161
-1
1 Nov 2026, 21:46
12,162
-3
31 Oct 2026, 21:09
12,165
-3
30 Oct 2026, 23:06
12,168
-6
29 Oct 2026, 01:49
12,174
-3
28 Oct 2026, 00:06
12,177
-8
26 Oct 2026, 20:36
12,185
-10
25 Oct 2026, 20:30
12,195
-7
24 Oct 2026, 21:28
12,202
-4
23 Oct 2026, 21:41
12,206
-2
22 Oct 2026, 19:37
12,208
-3
21 Oct 2026, 13:47
12,211
-2
20 Oct 2026, 08:21
12,213
-3
19 Oct 2026, 07:18
12,216
-6
18 Oct 2026, 05:47
12,222
-1
17 Oct 2026, 07:10
12,223
-5
16 Oct 2026, 09:16
12,228
-4
14 Oct 2026, 09:26
12,232
-1
12 Oct 2026, 15:49
12,233
first reading
Engagement
61 posts held, back to 29 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 51 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.9%
avg views ÷ 12,156 subscribers
Avg views / post
1,690
15 posts measured
Reaction rate
1.18%
reactions ÷ views · ER floor
Posts in window
15
of 61 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 4 November 2026
Posts held
61 (29 July 2026 – 4 November 2026)
Views total
25,419
Reactions total
301
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 06:34 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
Photos
≈5,510
Videos
≈647
Links
≈2,620
Lifetime counters from Telegram’s own channel header, read 4 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
34m 41s
Average length
2m 40s
Measured directly from 13 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
1,520 reactions across 61 posts, in 17 distinct kinds. The most used accounts for 49.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
745
49.0%
👍
247
16.3%
🔥
148
9.74%
🕊
65
4.28%
🙏
64
4.21%
🥰
57
3.75%
❤🔥
50
3.29%
🤔
31
2.04%
👏
23
1.51%
😢
19
1.25%
😁
18
1.18%
😱
18
1.18%
🦄
15
0.987%
🎉
11
0.724%
😎
5
0.329%
👌
3
0.197%
💯
1
0.066%
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 61 of the 61 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 1,520 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 61 most recent posts we hold, published 29 July 2026 to 4 November 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
6
across the posts below
Posts paid on
4
of 61 we hold a reading for · 7%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @gpmu_org. 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 61 most recent posts we hold for this entry, published 29 July 2026 to 4 November 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.
Поздравление ректора Педиатрического университета с Днём народного единства
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Как пояснил заведующий кардиохирургической службой СПбГПМУ Андрей Нохрин, у мальчика был врождённый порок сердца – атрезия лёгочной артерии. Это патология, при которой между правым желудочком сердца и лёгоч…
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Лучший проект в номинации «Использование те…
В Педиатрический университет доставили ребёнка, отравившегося моллюскоцидом
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Сейчас пациентка находится под наблюдением врачей отделения анестезиологии-реанимации, её состояние стабильно.
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Уважаемые студенты, будущие ученые и высококвалифицированные специалисты!
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📅 5 ноября (четверг)
⏳ в 17:00
📍 Центр цифровых технологий (ЦЦТ, бывший ЦИОТ — Учебный корпус, правый подъезд, 4 этаж)
Повестка дня:
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Вот и миновала первая акция «Подари право на чудо», а это значит, что пришло время для акции по вступлению в Федеральный регистр доноров костного мозга, и мы приглашаем вас стать его частью!
Акция будет проведена совместно с ОПК ПСПбГМУ в период с 27 по 29 октября.
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Профессор Педиатрического университета Татьяна Брус отмечена Молодежной премией Санкт-Петербурга
Победителей и призёров Молодёжной премии Санкт-Петербурга наградили в мультимедийном историческом парке «Россия — моя история».
Доктор медицинских наук, профессор кафедры патологической физиологии нашего университета Татьяна Брус была награждена в номинации «В области науки и техники».
В этом году на конкурс поступило 49…
❤24👍7🔥6
Signed Ivan Zarubin
Showing the 12 most recent of 61 posts we hold for @gpmu_org. 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
@gpmu_org 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
15 August 2026
Most recent edit
15 August 2026
Posts recorded as deleted after publishing
We recorded 1 post on @gpmu_org as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
24 August 2026
Most recent seen missing
24 August 2026
Median time before seen missing
4 days
Seen missing in the last 30 days
0
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.
Mentions
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.
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.
Записки юного Вовчика @medlci13 · 43,732 Telegram ranks this channel #64 of 71 here — alongside 70 others — read 28 August 2026
Медицинский блог Сеченова @medblognomer1 · 24,214 Telegram ranks this channel #71 of 77 here — alongside 76 others — read 16 September 2026
Помощник педиатра | МедикУм @pomoshnik_pediatra · 23,749 Telegram ranks this channel #94 of 94 here — alongside 93 others — read 17 September 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 3 November 2026 — this
entry's latest reading, not the date you are reading this.
“СПбГПМУ Педиатрический университет” (@gpmu_org), 12,156 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/gpmu_org.
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.