2 measurements taken within a single day. 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 286–288 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Aug 2026, 08:19
287
no change
7 Aug 2026, 15:28
287
first reading
Engagement
12 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
23.7%
avg views ÷ 287 subscribers
Avg views / post
67.9
12 posts measured
Reaction rate
12.3%
reactions ÷ views · ER floor
Posts in window
12
of 12 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 6 August 2026
Posts held
12 (29 July 2026 – 6 August 2026)
Views total
815
Reactions total
100
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 08:19 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
≈2,200
Videos
≈93
Links
≈403
Lifetime counters from Telegram’s own channel header, read 8 August 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
15s
Average length
15s
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
100 reactions across 12 posts, in 18 distinct kinds. The most used accounts for 22.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
22
22.0%
👍
12
12.0%
❤
10
10.0%
💯
9
9.00%
❤🔥
7
7.00%
😁
7
7.00%
👀
6
6.00%
🤣
5
5.00%
🤯
4
4.00%
🎉
3
3.00%
🗿
3
3.00%
😱
3
3.00%
☃
2
2.00%
👌
2
2.00%
🤡
2
2.00%
⚡
1
1.00%
🤪
1
1.00%
🥰
1
1.00%
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 12 of the 12 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 100reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 29 July 2026 to 6 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.
Вчера открыла для себя подмосковные Химки - очень много зелени, воды, открытого пространства. Впечатлена.
Ехать от центра на метро от 15 минут до получаса. И выходишь в прибрежный парк 😁🌳
Тот редкий случай, когда ожидания/реальность сильно в пользу реальности #опытдня
Тут знающие люди подсказывают, что до Нового года осталось ровно 150 дней! 🎄
Что делать с этой информацией? Просто принять к сведению!
Я вот пошла сегодня и сделала себе красные ногти. Отличное решение, я считаю 😁👌🏻
Вовремя я в Макс пошла 😆
Не думала, что они так быстро добавят истории. Видимо, сильно замотивировали разработчиков
Кто уже тестил? Как вам?
UPD: функция доступна только на Android с обновлениями из RuStore. На iPhone предлагают смотреть в web-версии 😆 Кроме как смотреть, видимо, нам больше ничего не светит. Ну вот даже не удивлена ни разу 😆
Сегодняшний день снова прошел под знаком SMM - инсайтов было чуть поменьше, практической пользы чуть побольше - обсуждали тему сторис и рилс. В общей сложности за два дня почти 10 часов контента 🤪
Одно радует - есть записи, преза и год доступа ко всем материалам. За август ещё раз всё разберу на молекулы и потестирую у себя и в группе Сам себе SMM. На вечернем созвоне уже обрадовала коллег, что ближайшие четыре неде…
Приложило меня вчера знатно 😆
Спать я, конечно, спала, но фоновые процессы даже ночью не останавливались - сегодня с утра уже переписала концепт для всех (!) личных соцсетей, прошла верификацию в Максе, скорректировала программу на финальный месяц SMM-лета…
Короче, готова ко второму дню МК 😁🙌🏻
А ещё сегодня начался финальный месяц лета - ровно 31 день до официального старта нового делового сезона 🔖
Кто-то будет пытаться выжать из августа максимум тепла и солнца, кто-то уже входит в рабочий режим, а кто-то из него даже не выходил (это я) 😁
В любом случае, есть смысл вспомнить о том, что до начала зимы - каких-то 4 месяца и надо многое успеть до Нового года. Не благодарите! 😆🙌🏻
Сегодня почти 5 часов провела на знаковом событии в мире SMM - первом онлайн МК Саши Митрошиной по блогингу после её возвращения в «большой мир» соцсетей. Это было максимально полезно и очень вдохновляюще, а ещё неожиданно много инсайтов у меня случилось. Крайне очевидных с точки зрения здравого смысла и моего текущего опыта, но как-то выпали эти моменты из поля зрения и оказались в слепой зоне. Увидела. Осознала. Бу…
Каждое наше мероприятие не случайно и несёт какую-то идею
В этот раз на Сам себе БРЕНД мы будем говорить про личный бренд в разрезе пересборки профессиональной идентичности и трансляцию своих мыслей, идей, компетенций оффлайн и онлайн
Почему именно об этом и почему именно сейчас?
Потому что рынок - весь рынок, переживает период глобальной трансформации и переосмысления ЦА, каналов продаж, продуктов, логистики, пар…
В продолжении темы причесывания соцсетей…
Я веду этот ТГ-канал ещё с допандемийных времен. Всё, что не «влезало» по каким-то причинам в другие соцсети - несла сюда. Иногда раз в неделю, иногда - пачкой сразу. В итоге получилось такое самобытное место с оттенком присущей мне хаотичности - мне всё нравится, вам, вроде, тоже, но пришло время сделать апгрейд
Не то что бы я вдруг решила стать системной, но Сам себе SMM …
❤🔥5👌2💯2
Showing the 12 most recent of 12 posts we hold for @fenicheva_pro. 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.
Citation-graph rank
Citation-graph rank — 404,366 of 1,350,102entries 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.
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
Named by 2 registered channels — 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.
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 8 August 2026 — this
entry's latest reading, not the date you are reading this.
“Феничева на громкой связи” (@fenicheva_pro), 287 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/fenicheva_pro.
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.