Personal blog — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 94% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
26 measurements spanning 93 days, net -406. 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 8,865–9,400 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
8 Nov 2026, 19:08
8,927
-19
5 Nov 2026, 16:54
8,946
-13
2 Nov 2026, 18:17
8,959
-12
30 Oct 2026, 17:31
8,971
-13
27 Oct 2026, 23:01
8,984
-11
24 Oct 2026, 12:28
8,995
-17
21 Oct 2026, 09:47
9,012
-20
18 Oct 2026, 16:21
9,032
-17
15 Oct 2026, 17:05
9,049
-15
13 Oct 2026, 02:57
9,064
-38
6 Oct 2026, 16:38
9,102
-31
29 Sept 2026, 09:16
9,133
-67
19 Sept 2026, 12:20
9,200
+8
15 Sept 2026, 09:42
9,192
+16
11 Sept 2026, 15:16
9,176
-1
7 Sept 2026, 01:00
9,177
+38
2 Sept 2026, 17:42
9,139
-199
30 Aug 2026, 20:46
9,338
+162
27 Aug 2026, 10:45
9,176
-17
24 Aug 2026, 12:56
9,193
first reading
Engagement
23 posts held, back to 2 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 42 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.2%
avg views ÷ 8,927 subscribers
Avg views / post
909
9 posts measured
Reaction rate
10.4%
reactions ÷ views · ER floor
Posts in window
9
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 5 November 2026
Posts held
23 (2 August 2026 – 5 November 2026)
Views total
8,178
Reactions total
848
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 11:34 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
3m 08s
Average length
27s
Measured directly from 7 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
2,596 reactions across 23 posts, in 19 distinct kinds. The most used accounts for 37.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
985
37.9%
🔥
228
8.78%
custom 5255947571142074717
216
8.32%
😁
201
7.74%
❤🔥
199
7.67%
💔
185
7.13%
🤣
167
6.43%
😍
120
4.62%
🎉
109
4.20%
👻
37
1.43%
🍓
34
1.31%
💯
29
1.12%
💘
24
0.924%
😭
17
0.655%
🕊
11
0.424%
😢
11
0.424%
😱
11
0.424%
🤝
7
0.27%
🍾
5
0.193%
Custom emoji. One 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 count beside it is Telegram’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 23 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 2,596 reactions 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 2 August 2026 to 5 November 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
Telegram’s own ‘edited’ marker: 0 of 9 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
какие-то вы немногословные 👻
ну, значится я буду болтать:)
найдено просто потрясающее покрывало от прагма. коллекция новогодняя. еле держусь, чтобы не заказать, потому что нам оттенки не сильно подходят. но оно такое 🥹
заказала такие кухонные полотенца. 3 штуки за 500 с копейками — идеально
постельное детское для Лии. стоимость тоже порадовала и глубокие оттенки, которые ассоциируются с холодным временем и уютом …
на днях сделала то, что откладывала с лета — убрала летние вещи, достала осень и зиму, перебрала и в целом навела порядок в шкафу
некоторые отправились на авито, некоторые отложены в дом добра
и поняла, что мне надоели все мои шмотки 🤡
полезла на маркетплейсы в поисках новинок — то не то, это не то. заказала полотенца и постельное 👻
в общем, я в какой-то стагнации гардеробной, чесслово
по итогу купила 4 выкройки, р…
ребят! помните в апреле мы участвовали в видео-конкурсе от местного тц и заняли второе место?
так вот недавно у этого же тц был опять конкурс.
между бытом, работой, сдачей анализов и больницами, мы таки решили попытать счастье вновь и в последний день закинули видос, который придуман на коленке, снят одной сплошной импровизацией и смонтирован в очереди к врачу
итого: видос оценен на первое место (adam newhouse — эт…
boo 👻
мадам-паучиха уже месяца два готовилась к хэллоуину :)
как бы ты себя ни чувствовал, а обломать ребёнку вечеринку не можешь 😢
в наше угрюмое время лишний повод подурачиться, нарядиться и приготовить чего-нибудь эдакого — самое то 👌🏻
так мне нравится этот тренд в иг*
реальная жизнь без вылизанных картинок, хоть вылизанные картинки я и люблю, но остальные девать куда-то надо все таки 👹
*запрещен на территории рф
вчера я провела день в больничке: мне делали диагностическую операцию перед основной. лёжа на роскошном больничном белье 👹, я в очередной раз подумала о том, как же важно для меня то, на чём я сплю🌑
поэтому, едва отойдя от наркоза, полезла смотреть постельное) приоритеты расставляю правильно 🤡
и теперь в моём вишлисте постельное YELLOWPINK
у бренда как раз обновились две коллекции: bernini — для любителей минимали…
друзья, хочу поделиться своей историей 🙏🏻
к своему стыду, несколько лет я не была у гинеколога: меня ничего не беспокоило. перед днём рождения в сентябре всё-таки дошла до врача, и у меня обнаружили кисту яичника больше 7 см. к счастью, образование доброкачественное, но вопрос об операции на повестке дня
теперь думаю, что могла бы узнать о кисте гораздо раньше, если бы не откладывала базовый(!) чекап
все анализы с…
предыдущий пост не увенчался успехом, потому что в нём нет главного кадра )))
значится, говорю маме: хочу сделать вот такой кадр, как плаваю в бассейне на круге с бокальчиком. сможешь мне подать бокал?
— да, хорошо
ставлю штатив, настраиваю камеру и начинаю садиться в этот круг.
конечно же, вместо красивого погружения я макаю себя пятой точкой, пролетаю мимо круга и переворачиваюсь в бассейн с головой 🤪
хорошо, чт…
такие выходные были.
уехали в лес подальше, дабы не слышать сирены, но они и там были слышны 👹
как проводили предпоследние выходные лета?) шлите карточки :)
❤72custom 525594757114207471725❤🔥7
Showing the 12 most recent of 23 posts we hold for @utrompodovsyanku. 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.
Mentions
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.
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.
такие женские дела @arhipovadashaa · 27,611 Telegram ranks this channel #27 of 82 here — alongside 81 others — read 10 September 2026
ЛЕГКО В ДЕКРЕТЕ @legko_v_dekrete · 30,949 Telegram ranks this channel #55 of 87 here — alongside 86 others — read 6 September 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“утром под овсянку” (@utrompodovsyanku), 8,927 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/utrompodovsyanku.
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.