Other / unclassifiable — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 46% 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
23 measurements spanning 92 days, net -89. 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 5,758–5,873 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)
Subscribers
Change
7 Nov 2026, 22:38
5,771
-1
4 Nov 2026, 13:35
5,772
-1
1 Nov 2026, 04:51
5,773
-6
29 Oct 2026, 01:39
5,779
-2
25 Oct 2026, 16:37
5,781
-14
22 Oct 2026, 09:35
5,795
+2
18 Oct 2026, 22:29
5,793
-2
15 Oct 2026, 11:55
5,795
-8
12 Oct 2026, 15:06
5,803
-4
5 Oct 2026, 12:37
5,807
-17
27 Sept 2026, 14:39
5,824
+7
15 Sept 2026, 09:41
5,817
-13
6 Sept 2026, 09:37
5,830
+6
1 Sept 2026, 20:35
5,824
-1
29 Aug 2026, 16:58
5,825
+1
26 Aug 2026, 16:46
5,824
-6
24 Aug 2026, 03:16
5,830
-17
20 Aug 2026, 02:32
5,847
-1
17 Aug 2026, 09:58
5,848
-9
14 Aug 2026, 00:58
5,857
first reading
Engagement
11 posts held, back to 20 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 9 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
27.3%
avg views ÷ 5,771 subscribers
Avg views / post
1,580
5 posts measured
Reaction rate
9.61%
reactions ÷ views · ER floor
Posts in window
5
of 11 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 2 November 2026
Posts held
11 (20 July 2026 – 2 November 2026)
Views total
7,880
Reactions total
757
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 19:03 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.
Reaction mix
1,472 reactions across 11 posts, in 8 distinct kinds. The most used accounts for 69.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,024
69.6%
🍓
144
9.78%
🤗
97
6.59%
💅
70
4.76%
🏆
62
4.21%
💔
34
2.31%
🤯
21
1.43%
custom 5222241728659988366
20
1.36%
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 11 of the 11 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 1,472 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 20 July 2026 to 2 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 5 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).
Спасибо, Казань, что так тепло встретила!
Много лет думала, по какому поводу окажусь в этом городе. Еще в 10 классе участвовала в правовых дебатах в КФУ, влюбилась в Казань, а сейчас здесь побывала по рабочей командировке.
Среди мест, обязательных к посещению: Храм всех религий (восторг!), Дворец Земледелия, Кремль, прогуляться по улице Баумана, увидеть театр и набережную. А еще вкусно почаевничать в этом месте❤️
…
Делюсь, как прошло выступление
Для меня это был очень волнительный опыт, я так сильно переживала последнюю неделю, что с трудом думала о каких-то других задачах.
В итоге все отлично прошло. Я довольна тем, как выступила: получилось рассказать материал от себя и уложиться в тайминг + ответить на три вопроса из зала (ура, я смогла).
Мне очень помогла поддержка близких людей, репетиция презентации без текста под руко…
Две прекрасные новости 🤍
Первая — я приехала выступать в Казань. Моя секция откроется уже завтра. Честно, я переживаю, давно не было очных выступлений. Репетирую, стараюсь гулять и отвлекаться сегодня.
Вторая — теперь мы обладаем статусом аккредитованной АйТи компании!!🥹✨ Очень рада, для всей нашей команды это важное событие.
Вообще у меня сейчас будет череда форумов, подкастов)) Буду делиться с вами!
Спасибо Сергею Васильевичу за книги, сайт, лекции, которые помогли заново влюбиться в профессию.
С книги «Элементарная догматика обязательств» началось мое глубокое погружение в гражданское право. Мы обсудили ее от корки до корки, а потом приступили к чтению Глоссы.
🙏🤍
сегодня впервые побывала на оффлайн встрече с юридической компанией!🤍
Юридическая арбитражная компания «Юридическая сила» позвала команду Стрижа на встречу, чтобы обсудить обратную связь по продукту. Было очень продуктивно, нам дали много ценной информации.
Готовиться к таким встречам для меня новый опыт. Говоря о себе, было интересно наблюдать за тем, получается ли у меня корректно отвечать, задавать правильные во…
random photo post
Сейчас какой-то сумасшедший загруз по работе. Честно признаюсь, я очень устала, и единственное, что меня сейчас поддерживает в норм состоянии — мой образ жизни. Хорошее питание и регулярные тренировки. Последние три недели были очень стрессовыми. Приходилось ежедневно принимать много сложных решений.
Я не успеваю переварить происходящее по работе… С одной стороны, я очень рада большому вниманию, и…
Сегодня празднуем 4 года
отношений с мужем
Рада, что мне однажды посчастливилось сделать правильный свайп вправо в Тиндере! Очень счастлива🤩
Сегодня меня сюрпризом привели в это чудесное место в Грузии. Вид потрясающий💙
выходной на природе — лучшее, что только можно представить, чтобы разгрузить голову!🌿
Поднялись на гору, зашли в очень красивые места. А ночью смотрели чемпионат мира. Это были жесткие эмоциональные качели, держали в напряжении всю игру)) Но Испания победила, очень рада 🇪🇸
Сегодня возвращаюсь неохотно к рабочим задачам. Такого отдыха хочется побольше
❤59🤗16custom 522224172865998836613
Showing the 11 most recent of 11 posts we hold for @polya_rzhd. 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
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.
МГЮА @msal_kutafina · 18,881 Telegram ranks this channel #27 of 60 here — alongside 59 others — read 5 October 2026
История вокруг нас | Эля Смит | История ЕГЭ СМИТАП @elya_smith · 29,832 Telegram ranks this channel #35 of 75 here — alongside 74 others — read 11 September 2026
история и котики / ЕГЭ ОГЭ 2027 стадикэтс иик @historyandcats · 39,592 Telegram ranks this channel #56 of 72 here — alongside 71 others — read 1 September 2026
очки эксперта | егэ налегке обществознание 2027 @egenalegke · 27,004 Telegram ranks this channel #70 of 78 here — alongside 77 others — read 12 September 2026
ПРО100 ЕГЭ История @history_ege · 29,177 Telegram ranks this channel #71 of 87 here — alongside 86 others — read 8 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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Полина Рождественская” (@polya_rzhd), 5,771 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/polya_rzhd.
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.