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Channel

Сендоновна | ПСИХОЛОГ

@sendonovna

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

195subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001348285805
TypeChannel
Username@sendonovna
DescriptionПривет 👋 Я психолог. Давай вместе учиться жить эту жизнь. Для записи на консультацию пиши сюда: https://t.me/paksendonovna
Created1 May 2020measured — cross-checked against a third-party dataset (TGDataset)
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held2
On Telegramt.me/sendonovna

Growth

1956 Aug 2026, 17:10 — 195 subscribers7 Aug 2026, 05:48 — 195 subscribers6 Aug 2026, 17:107 Aug 2026, 05:48
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 194–196 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 05:48195no change
6 Aug 2026, 17:10195first reading

Engagement

7 posts held, back to 26 June 2026the 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
47.2%
avg views ÷ 195 subscribers
Avg views / post
92.0
1 post measured
Reaction rate
22.8%
reactions ÷ views · ER floor
Posts in window
1
of 7 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 17 July 2026
Posts held7 (26 June 202617 July 2026)
Views total92
Reactions total21
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 05:48 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
876
Videos
231
Links
154

Lifetime counters from Telegram’s own channel header, read 7 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

71 reactions across 7 posts, in 4 distinct kinds. The most used accounts for 40.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 53891103735698001472940.8%
custom 54451164937065722082940.8%
custom 5445317742989157834811.3%
custom 545879406187381734757.04%

Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 7 of the 7 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 71reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 26 June 2026 to 17 July 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

17 Jul 2026, 07:12 UTC92 views21 reactionsread 7 August 2026
Photo

У нас в среду был книжный клуб по книге «Защита Лужина». Удалось нам передать атмосферу книги о шахматисте, как думаете?

custom 544511649370657220810custom 54453177429891578346custom 54587940618738173475

8 Jul 2026, 07:56 UTC118 views7 reactionsread 7 August 2026
Photo

15 июля встречаемся обсуждать «Защиту Лужина» В. Набокова 💫 Для меня это первое произведение этого писателя. «Лолита» обошла меня стороной, но я планирую прочитать еще «Камера обскура», так как уже многое слышала об этой книге и стало очень интересно. А вы что посоветуете?

custom 53891103735698001475custom 54453177429891578342

7 Jul 2026, 02:47 UTC95 views6 reactionsread 7 August 2026
Photo

Вчера просматривала библиотеку сестры, и увидела эту книгу, которую я ей подарила, когда она поступила в университет. Уровень заботливой сестры 80 lvl

custom 54451164937065722084custom 53891103735698001472

4 Jul 2026, 11:08 UTC106 views9 reactionsread 7 August 2026
Photo

Отпуск. День 4. Я приготовила ананасовый тартатен из Отчаянных домохозяек и дочитываю 50 оттенков серого 🤣

custom 53891103735698001478custom 54451164937065722081

1 Jul 2026, 04:34 UTC122 views9 reactionsread 7 August 2026
Video message

Video message, posted without a caption

custom 53891103735698001476custom 54451164937065722083

26 Jun 2026, 02:36 UTC141 views13 reactionsread 7 August 2026
Photo

А еще я тут на выходных летала во Владивосток и посетила Книжный клуб! Организовывала моя подружка из Wave sisters Если будете во Владивостоке, то обязательно посетите их мероприятия! Организация на высоте, участницы просто чудо. Мне все очень понравилось, я в восторге ❤️ Обсуждали книгу Агаты Кристи «Убийство Роджера Экройда». Во Владивостоке была всего 2 дня, но это мероприятие для меня было важно посетить.

custom 53891103735698001478custom 54451164937065722085

26 Jun 2026, 02:29 UTC124 views6 reactionsread 7 August 2026
Photo

В эту среду у нас была встреча Книжного клуба Книга июня: «Хрупкие люди» Юлии Пирумовой. Обсудили как каждый из участников взял что-то свое. Поделились своими историями, о которых книга заставила задуматься, получили поддержку и положительные эмоции друг от друга ❤️ Следующая встреча пройдет в загородном доме в Первой пади 15 июля в 18:00. Книга: «Защита Лужина» Владимира Набокова Стоимость: 700 рублей. Обязательн

custom 54451164937065722086

Showing the 7 most recent of 7 posts we hold for @sendonovna. 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 — 636,748 of 1,189,255entries 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 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.

Names

Channels on the register whose handles appear in this channel's posts.

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

“Сендоновна | ПСИХОЛОГ” (@sendonovna), 195 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/sendonovna.

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.