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Channel

ЭКГ электрокардиография

@medecg

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

14,432subscribers

+69 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001090085443
TypeChannel
Username@medecg
Created25 November 2016measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live5 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 5 September 2026
On Telegramt.me/medecg

Growth

14,35414,47114,412.56 August 2026 — 14,363 subscribers6 August 2026 — 14,363 subscribers6 August 2026 — 14,360 subscribers7 August 2026 — 14,361 subscribers8 August 2026 — 14,362 subscribers9 August 2026 — 14,360 subscribers10 August 2026 — 14,354 subscribers11 August 2026 — 14,411 subscribers12 August 2026 — 14,414 subscribers13 August 2026 — 14,416 subscribers15 August 2026 — 14,404 subscribers16 August 2026 — 14,391 subscribers17 August 2026 — 14,393 subscribers18 August 2026 — 14,382 subscribers19 August 2026 — 14,438 subscribers20 August 2026 — 14,471 subscribers22 August 2026 — 14,468 subscribers23 August 2026 — 14,457 subscribers25 August 2026 — 14,456 subscribers26 August 2026 — 14,450 subscribers27 August 2026 — 14,448 subscribers28 August 2026 — 14,444 subscribers29 August 2026 — 14,447 subscribers31 August 2026 — 14,445 subscribers1 September 2026 — 14,442 subscribers3 September 2026 — 14,439 subscribers5 September 2026 — 14,432 subscribers14,4326 August 20265 September 2026
27 measurements spanning 30 days, net +69. 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 14,336–14,489 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
5 Sept 2026, 00:2014,432-7
3 Sept 2026, 09:4614,439-3
1 Sept 2026, 04:4614,442-3
31 Aug 2026, 04:2614,445-2
29 Aug 2026, 08:2314,447+3
28 Aug 2026, 06:0714,444-4
27 Aug 2026, 03:1514,448-2
26 Aug 2026, 02:2914,450-6
25 Aug 2026, 02:3414,456-1
23 Aug 2026, 15:4714,457-11
22 Aug 2026, 01:5614,468-3
20 Aug 2026, 21:1514,471+33
19 Aug 2026, 20:1614,438+56
18 Aug 2026, 20:0714,382-11
17 Aug 2026, 19:5714,393+2
16 Aug 2026, 17:4814,391-13
15 Aug 2026, 00:1814,404-12
13 Aug 2026, 13:4714,416+2
12 Aug 2026, 12:2814,414+3
11 Aug 2026, 09:0714,411first reading

Engagement

17 posts held, back to 24 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 54 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.2%
avg views ÷ 14,432 subscribers
Avg views / post
1,760
3 posts measured
Reaction rate
0.378%
reactions ÷ views · ER floor
Posts in window
3
of 17 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 23 August 2026
Posts held17 (24 May 202623 August 2026)
Views total5,290
Reactions total20
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 18:38 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
40s
Average length
40s

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

85 reactions across 13 posts, in 6 distinct kinds. The most used accounts for 32.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2832.9%
👍2832.9%
🤔1315.3%
🔥1214.1%
👏33.53%
🥰11.18%

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 14 of the 17 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 85 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 24 May 2026 to 23 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.

Recent posts

23 Aug 2026, 15:39 UTC≈1,160 views13 reactionsread 2 September 2026
File

Алгоритмы ЭКГ диагностики (Полякова О.В. Арабидзе Г.Г.) 2020

7👏3🤔3

16 Aug 2026, 05:18 UTC≈2,070 views4 reactionsread 2 September 2026
Photo

Ж , 36 лет, АД 120/80 Жалобы на сердцебиение, связывает со стрессом, разводится с мужем

🤔4

14 Aug 2026, 05:01 UTC≈2,060 views3 reactionsread 2 September 2026
Photo

Бесплатный вебинар для врачей, которые научиться ЭХОКГ 23 августа, 11:00 (мск) «Как освоить ЭХОКГ. От измерений к клиническому мышлению» На вебинаре разберем: 🫀 Почему так сложно начать выполнять ЭХОКГ. Главные ошибки и что действительно важно на старте 🫀Что важно знать в первую очередь? Разберем фундамент, без которого невозможно уверенно выполнять ЭХОКГ 🫀 Как перейти от измерений к клиническому мышлению? На кли

3

12 Jul 2026, 06:52 UTC≈3,310 views9 reactionsread 2 September 2026
Video

Интересный монитор

🔥9

30 Jun 2026, 14:41 UTC≈3,570 views7 reactionsread 2 September 2026

🩺 Сколько времени вы тратите на поиск доказательной базы ? Знакомая ситуация: нужно узнать про эффективность препарата или последнюю схему лечения, а под рукой нет 20 минут, чтобы перелопатить PubMed, отфильтровать мусор и найти актуальные исследования. Сервис который закрывает именно эту боль 👇 Quali_Med_Bot — задаёте вопрос, бот параллельно ищет в PubMed, Europe PMC, Cochrane, openFDA, CDC, EMA и возвращает реал

6🥰1

27 Jun 2026, 09:00 UTC≈2,560 views2 reactionsread 2 September 2026
Photo

100 медицинских калькуляторов в мессенджере Большое обновление нашего бота с калькуляторами. Добавили 33 новых инструмента, и теперь общее количество калькуляторов, шкал и справочников — 100. Просим поделиться с коллегами, особенно тем, кому нужно заполнять направление на МСЭ 🙏. Что нового в обновлении: 🏥 Новая большая папка «Оргздрав» Добавили инструменты для повседневной административной работы врача: сроки боль

2

15 Jun 2026, 20:30 UTC≈2,300 views3 reactionsread 2 September 2026

Так получилось, что тоже знаком с этим случаем. Хотелось бы дополнить кейс. В семейном анамнезе: сестра пациента внезапно умерла с диагностированным АДПЖ. Самому пациенту диагностирована АДПЖ. Установлен ИКД.

3

12 Jun 2026, 14:03 UTC≈2,690 views9 reactionsread 2 September 2026
Photo

Пациент 1998 года рождения, в анамнезе 3 раза были обмороки, сестра умерла внезапной смертью

🤔6👍3

10 Jun 2026, 10:48 UTC≈2,220 views10 reactionsread 2 September 2026
Forwarded from @iqdocaiPhoto

Запустили бесплатного бота с медицинскими калькуляторами Собрали основные клинические шкалы и расчеты в одном месте: от оценки тяжести состояния и риска инсульта до СКФ, MELD и HAS-BLED. Без лишних переходов – прямо в Telegram и в Max. Сейчас в базе 51 калькулятор, но в ближайшее время добавим еще множество других. Калькуляторы разбиты по категориям в зависимости от специальности, а также можно увидеть самые часто

4👍3🔥3

Showing the 12 most recent of 17 posts we hold for @medecg. 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.

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.

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.

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.

Медицинские лекции книги курсы
@medicinskie_lekcii · 33,403
Telegram ranks this channel #79 of 81 here — alongside 80 others — read 4 September 2026
Медицинская Литература
@clinirec · 33,846
Telegram ranks this channel #81 of 84 here — alongside 83 others — read 4 September 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists 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 5 September 2026 — this entry's latest reading, not the date you are reading this.

“ЭКГ электрокардиография” (@medecg), 14,432 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/medecg.

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.