IDR творит чудеса 🪄
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Channel
@eduardsurg
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
13,052subscribers
+59 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002050776053 |
|---|---|
| Type | Channel |
| Username | @eduardsurg |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 September 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 7 September 2026 |
| On Telegram | t.me/eduardsurg |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Sept 2026, 00:20 | 13,052 | +12 |
| 4 Sept 2026, 13:19 | 13,040 | +7 |
| 3 Sept 2026, 02:03 | 13,033 | +4 |
| 1 Sept 2026, 20:46 | 13,029 | +1 |
| 1 Sept 2026, 00:18 | 13,028 | -2 |
| 31 Aug 2026, 01:54 | 13,030 | +6 |
| 30 Aug 2026, 02:15 | 13,024 | +1 |
| 29 Aug 2026, 02:57 | 13,023 | +3 |
| 28 Aug 2026, 04:58 | 13,020 | +2 |
| 26 Aug 2026, 03:08 | 13,018 | -3 |
| 25 Aug 2026, 01:08 | 13,021 | +3 |
| 23 Aug 2026, 15:17 | 13,018 | +4 |
| 22 Aug 2026, 04:27 | 13,014 | +6 |
| 20 Aug 2026, 21:58 | 13,008 | +1 |
| 19 Aug 2026, 21:48 | 13,007 | -3 |
| 18 Aug 2026, 19:22 | 13,010 | +13 |
| 17 Aug 2026, 16:49 | 12,997 | -3 |
| 16 Aug 2026, 14:34 | 13,000 | +5 |
| 14 Aug 2026, 18:57 | 12,995 | -1 |
| 13 Aug 2026, 11:16 | 12,996 | first reading |
34 posts held, back to 3 August 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 50 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 34 (3 August 2026 – 2 September 2026) |
| Views total | 62,019 |
| Reactions total | 1,573 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 20:47 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.
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.
2,097 reactions across 32 posts, in 16 distinct kinds. The most used accounts for 75.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 1,584 | 75.5% | |
| 🤣 | 198 | 9.44% | |
| ❤ | 145 | 6.91% | |
| ⚡ | 59 | 2.81% | |
| 👍 | 47 | 2.24% | |
| 😁 | 16 | 0.763% | |
| 💯 | 12 | 0.572% | |
| 😱 | 11 | 0.525% | |
| ❤🔥 | 7 | 0.334% | |
| 🤝 | 7 | 0.334% | |
| 🤪 | 3 | 0.143% | |
| 🌚 | 2 | 0.095% | |
| 👏 | 2 | 0.095% | |
| 😎 | 2 | 0.095% | |
| 🤩 | 1 | 0.048% | |
| 🦄 | 1 | 0.048% |
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 32 of the 34 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 2,097 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 3 August 2026 to 2 September 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.
IDR творит чудеса 🪄
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Как понравиться ортопеду:
🔥65❤13😁9⚡3
Live stream finished (4 minutes)
Live stream started
Интересный случай. У пациента уже были установлены импланты в первом сегменте. Покрутил кт, там все достаточно неплохо, поэтому импланты оставляем. Условия по кости не простые, но импланты все поставил с хорошей первичной стабильностью, поэтому все отправляю в нагрузку. Дефекты закрыл с помощью б2с
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Два дня лекции в прекраснейшем учебном центре Садко в городе Нижний Новгород. Очень рад был посетить город. До новых встреч 🫡
🔥25❤8👍3⚡2
Имплантация с пластикой мягких тканей в условиях горизонтального дефицита. Установлены ТЛ импланты с пластикой мягких тканей с вестибулярной и язычной стороны. Через 3 месяца никакого дефицита не наблюдается, ткани восстановлены по уровню соседнего зуба. Далее протезирование
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Гиперрост трансплантата во фронтальном отделе через 4 года после операции
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Прошло очередное наставничество. В этот раз доктора с Новокузнецка и Апатитов. За 4 дня провели вместе много операций, тоталы, айдиар, работа с тл имплантами, одномоментная имплантация, была еще переделка одного из осложнений. Каждую неделю доктора приезжают ко мне в Петрозаводск на обучение. Самый лучший вариант для тех, кто хочет увидеть практику изнутри. Так что желающие пишите в лс @Eduard23282328, на следующую н…
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БЛИЖАЙШИЕ КУРСЫ: 29-30 августа Нижний Новгород: тоталы/б2с/idr/тл импланты и окта абатменты. Запись через @nastasypustovalova 5-6 сентября Москва: тоталы/б2с/idr с практикой на моих моделях. Запись через @RomanaMilanov 9-10 сентября Красноярск: синус-лифтинг открытый/закрытый/коротыши. Курс с практикой. Запись через +7 982 290 0946 19-20 сентября Казань: тоталы/б2с/idr с практикой на моих моделях. Запись через +7…
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Тотальная реабилитация на 4х имплантах Возрастная пациентка, наверху я 3 года назад делал ей все на 4х Решил расставить импланты в позиции 3 и 6, чтобы в последующем запротезировать без консолей За кортикалкой кость вата, но торк удалось получить хороший Все импланты прямо, без лишних усложнений 👌 В область всех имплантов пересадил мягкотканные трансплантаты, так как очень тонкий биотип изначально С вас огонек🔥
🔥81❤4👍4⚡1
Трансинус сразу после/через 3 месяца/через 3 года Состояние мягких тканей и кости на снимке радует, но обратите внимание на окклюзионную часть протеза, насколько зубы съедены Поэтому немного удивляюсь, когда слышу, что кто-то на эти протезы дает пожизненную гарантию
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Showing the 12 most recent of 34 posts we hold for @eduardsurg. 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.
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.
This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 7 September 2026 — this entry's latest reading, not the date you are reading this.
“Эдуард Депелян | Рутина хирурга” (@eduardsurg), 13,052 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/eduardsurg.
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.