4 measurements spanning 7 days, net -20. 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 5,467–5,493 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 19:47
5,470
-12
11 Aug 2026, 00:14
5,482
-8
7 Aug 2026, 10:00
5,490
no change
7 Aug 2026, 09:48
5,490
first reading
Engagement
23 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 8 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
8.59%
avg views ÷ 5,470 subscribers
Avg views / post
470
22 posts measured
Reaction rate
7.23%
reactions ÷ views · ER floor
Posts in window
23
of 23 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 11 August 2026
Posts held
23 (3 August 2026 – 11 August 2026)
Views total
10,340
Reactions total
748
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 04:14 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
11m 04s
Average length
55s
Measured directly from 12 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
748 reactions across 22 posts, in 13 distinct kinds. The most used accounts for 27.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
204
27.3%
🔥
182
24.3%
👍
105
14.0%
🤣
64
8.56%
💯
61
8.16%
😁
44
5.88%
💔
33
4.41%
👏
26
3.48%
❤🔥
13
1.74%
🎉
10
1.34%
🥰
3
0.401%
💘
2
0.267%
🤔
1
0.134%
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 22 of the 23 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 748reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 3 August 2026 to 11 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.
📋 На Чекапе #начекапе
Открываю новую рубрику. Каждую неделю буду рассказывать реальные истории с наших Чекапов — без имён (если клиент сам не пожелает рассказать о себе больше), но с цифрами, деталями и выводами. Что мы увидели, чего человек не замечал, и почему это важно. Чтобы через других вы посмотрели на себя внимательнее. Иногда одна чужая история попадает в цель точнее, чем десять статей.
Итак, первая.
Женщи…
Иногда так устаёшь, что хочется бросить всё и начать с белого листа.
В молодости я поступала так несколько раз, при смене работы, ВУЗА, мужчины. Это естественно, впереди много времени, можно ошибаться и даже успеть исправить последствия.
Что сейчас? У меня профессия, репутация, обязательства, люди, с которыми хочу быть дальше и успехи, которые дорого обошлись. Желания бросить - нет, но мыслишки проскакивают:)
Ко…
Выходила замуж за сотрудника МВД, оказалась женой врача практически😁
Да, это мой муж и его новый красный диплом Магистр здравоохранения. Кто знает историю нашего знакомства (а я писала о ней в книге) помнит, нас сблизили его руки. Ими он меня "вылечил", с тех пор мы не расставались. А его процесс обучения новым ручным техникам не заканчивался...
Курсы нейрокинезиологии, 3 вида массажа, банки, висцеральные правки, …
Альбина Шевченко - сообщество зрелых женщин pinned «🔥А вот и лучшие посты за Июль месяц🔥 Было насыщенно. Успели и отдохнуть, напитать тело силой, загрузили мозги новой полезной информацией. 📌Конспектировала вам основные моменты с крупного косметического форума 📌Рассказала, как работает ЗОЖ-минимализм,…»
На последней коуч-сессии в клубе произошло то, что я не планировала, но что случается у нас регулярно.
Одна из участниц пришла с признанием, которое ей явно давалось нелегко. Сказала:
тренировки бросила. Стыдно. Уже дошла до психотерапевта, чтобы разобраться, почему не может вернуться.
Она сама понимает, что это что-то большее, чем лень и занятость. Боится потерять результаты, которые когда-то были. Боится, что те…
🥳 Новая рубрика — «Неделя в Академии». Каждую неделю буду рассказывать, чем мы жили, что делали и что происходило внутри Академии фитнеса и долголетия. Без парадных отчётов, просто честно и по делу.
Итак, прошлая неделя.
▶️7 чекапов для топ-менеджмента крупной казанской организации. Люди 38-49 лет, активные, занятые, и при этом — полное отсутствие понимания, что происходит с их телом прямо сейчас. Выявили возрастны…
Ой, девочки, новый формат постов попробовала называется "Статья" 👆- как нам? Нравится, подходит, не привычно? Картинка гигантская, да?🤣
🔥26👍5
Showing the 12 most recent of 23 posts we hold for @shevchenkoochannel. 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
@shevchenkoochannel 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
8 August 2026
Most recent edit
8 August 2026
Citation-graph rank
Citation-graph rank — 1,090,197 of 1,481,217entries 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.
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.
Revitonica @revitonica_ru · 248,921 Telegram ranks this channel #64 of 83 here — alongside 82 others — read 10 August 2026
PRO гормоны и БАДы | Диляра Лебедева эндокринолог @lebedeva_dilyara · 136,476 Telegram ranks this channel #89 of 90 here — alongside 89 others — read 13 August 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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Альбина Шевченко - сообщество зрелых женщин” (@shevchenkoochannel), 5,470 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/shevchenkoochannel.
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.