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Channel

ДОК Егоров

@docEgoroff

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

8,128subscribers

-25 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001373271136
TypeChannel
Username@docEgoroff
CreatedBetween 1 April 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 10 September 2026
On Telegramt.me/docEgoroff

Growth

8,1278,1548,140.57 August 2026 — 8,153 subscribers7 August 2026 — 8,153 subscribers7 August 2026 — 8,154 subscribers10 August 2026 — 8,146 subscribers13 August 2026 — 8,148 subscribers16 August 2026 — 8,144 subscribers20 August 2026 — 8,140 subscribers23 August 2026 — 8,145 subscribers26 August 2026 — 8,140 subscribers29 August 2026 — 8,136 subscribers1 September 2026 — 8,132 subscribers6 September 2026 — 8,127 subscribers10 September 2026 — 8,128 subscribers8,1287 August 202610 September 2026
13 measurements spanning 35 days, net -25. 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 8,123–8,158 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Sept 2026, 22:408,128+1
6 Sept 2026, 02:418,127-5
1 Sept 2026, 20:178,132-4
29 Aug 2026, 12:348,136-4
26 Aug 2026, 10:468,140-5
23 Aug 2026, 18:168,145+5
20 Aug 2026, 00:328,140-4
16 Aug 2026, 20:238,144-4
13 Aug 2026, 17:548,148+2
10 Aug 2026, 22:078,146-8
7 Aug 2026, 12:168,154+1
7 Aug 2026, 06:008,153no change
7 Aug 2026, 05:498,153first reading

Engagement

21 posts held, back to 2 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 21 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
35.5%
avg views ÷ 8,128 subscribers
Avg views / post
2,890
4 posts measured
Reaction rate
1.45%
reactions ÷ views · ER floor
Posts in window
4
of 21 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 25 August 2026
Posts held21 (2 July 202625 August 2026)
Views total11,550
Reactions total168
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 18:35 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
49m 50s
Average length
6m 14s

Measured directly from 8 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

1,405 reactions across 21 posts, in 22 distinct kinds. The most used accounts for 50.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍71550.9%
🔥38527.4%
🙏785.55%
745.27%
😱302.14%
😁271.92%
💯151.07%
🤬151.07%
👏140.996%
❤‍🔥120.854%
🤔90.641%
🙈60.427%
50.356%
😢50.356%
🕊40.285%
👀20.142%
🤝20.142%
🤩20.142%
🫡20.142%
10.071%
2 further kinds20.142%

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 21 of the 21 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 1,405 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 2 July 2026 to 25 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

25 Aug 2026, 09:46 UTC≈1,510 views37 reactionsread 28 August 2026

https://youtu.be/JMbwy3zP7Ws

👍286👀1💯1🤔1

19 Aug 2026, 16:33 UTC≈3,000 views46 reactionsread 28 August 2026

https://www.youtube.com/watch?v=xqM-kXnsznc

👍38🔥431

15 Aug 2026, 05:53 UTC≈4,010 views58 reactionsread 28 August 2026
Photo

В Москве расследуют дело против обещавшей вылечить аутизм клиники. Против московской клиники Василия Генералова возбуждено дело о мошенничестве. Сотни семей обвиняют его в опасном «лечении» аутизма. В Москве разгорелся скандал вокруг частной клиники «ПланетаМед», где детей с аутизмом лечили опасными и неэффективными методами. Следственный комитет России по жалобам сотен семей возбудил уголовное дело по статьям о при

😱24🤬15👍9🙈64

11 Aug 2026, 16:13 UTC≈3,630 views40 reactionsread 28 August 2026

Posted without readable text

👍25🔥87

11 Aug 2026, 13:25 UTC≈3,040 views18 reactionsread 28 August 2026

https://youtu.be/0nE6fnO_lWY

👍1421👌1

9 Aug 2026, 11:12 UTC≈3,420 views68 reactionsread 28 August 2026

Posted without readable text

👍34🔥265🤝21

7 Aug 2026, 16:50 UTC≈3,600 views67 reactionsread 28 August 2026
Photo

Сделал таких 5 сетов, потом ещё 5 сетов подтягиваний... Зашёл, замерил давление и вот оно такое... Кстати, часто наблюдаю снижение АД после трени... На фарме, правда, будет рост зачастую... Так шо, хочешь узнать химега, лови его и давление замеряй😂

👍60🤔6😱1

5 Aug 2026, 08:01 UTC≈4,010 views116 reactionsread 28 August 2026
Video

ДОК vs Профессор из Кембриджа... Глянул тут подкаст у Соломина... То, о чем я давно говорю... оказалось профессор из Кембриджа поддержал, точнее не меня поддержал, а по отдельности: я в своей деревне на грядках с тяпкой донаблюдался, а он в Кембридже наукой занимался и мы пришли к схожим выводам. Только я получил хейт, ну а профессор хейт не получил, он же профессор!!!)))

👍92💯14😁82

4 Aug 2026, 15:57 UTC≈3,990 views47 reactionsread 28 August 2026

https://youtu.be/2kKssc-FqzY

👍34🔥11🫡2

30 Jul 2026, 15:21 UTC≈5,090 views122 reactionsread 28 August 2026
Video

Как на самом деле устроена медицина и какая у нее задача..!

👍75🔥33👏752

28 Jul 2026, 13:30 UTC≈4,730 views176 reactionsread 28 August 2026
Photo

О, нашёл газету, прикиньте, настоящую газету, которую уже никто не читает и не знает, что это такое... А были времена... Так вот в газете заметка моего пациента Ильи Городисского, который проживал и проживает на моем бывшем участке. На втором фото как раз об амбулатории речь идёт и обо мне... Сразу вспомнил те времена... Амбулатория дала большой опыт: самый большой участок достался мне, почти 2400 взрослого и детског

🔥102👍49❤‍🔥126👏3🤩2🤔1😁1

Showing the 12 most recent of 21 posts we hold for @docEgoroff. 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

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.

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.

Александр Добромиль your fit
@Dobromil_yourfit · 36,135
Telegram ranks this channel #3 of 74 here — alongside 73 others — read 1 September 2026
Пенкин Егор - Здоровое будущее
@fit_therapy · 79,366
Telegram ranks this channel #43 of 91 here — alongside 90 others — read 18 August 2026
Анна Теодорович
@psy_annateo · 46,984
Telegram ranks this channel #49 of 77 here — alongside 76 others — read 27 August 2026
Доктор Епифанов | Невролог| Все о позвоночнике
@epifanovnews · 49,078
Telegram ranks this channel #53 of 93 here — alongside 92 others — read 26 August 2026
English from London
@thegap_club · 35,393
Telegram ranks this channel #67 of 92 here — alongside 91 others — read 2 September 2026

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.

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 September 2026 — this entry's latest reading, not the date you are reading this.

“ДОК Егоров” (@docEgoroff), 8,128 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/docEgoroff.

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.