Local community — 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 100% 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
39 measurements spanning 72 days, net -774. 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 28,894–29,900 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 39
Measured (UTC)
Subscribers
Change
8 Nov 2026, 20:54
29,010
-6
7 Nov 2026, 11:46
29,016
-5
5 Nov 2026, 07:58
29,021
-1
2 Nov 2026, 09:06
29,022
-3
1 Nov 2026, 07:57
29,025
-7
31 Oct 2026, 11:06
29,032
-5
30 Oct 2026, 08:17
29,037
-112
29 Oct 2026, 11:16
29,149
-2
28 Oct 2026, 13:28
29,151
-5
27 Oct 2026, 12:37
29,156
-6
26 Oct 2026, 12:11
29,162
-4
25 Oct 2026, 12:04
29,166
-9
24 Oct 2026, 12:37
29,175
-4
23 Oct 2026, 12:48
29,179
-3
22 Oct 2026, 14:10
29,182
-2
21 Oct 2026, 05:41
29,184
-9
20 Oct 2026, 02:41
29,193
-6
19 Oct 2026, 01:51
29,199
-2
17 Oct 2026, 22:26
29,201
-7
16 Oct 2026, 23:45
29,208
first reading
Engagement
420 posts held, back to 28 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 109 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.7%
avg views ÷ 29,010 subscribers
Avg views / post
3,390
201 posts measured
Reaction rate
2.04%
reactions ÷ views · ER floor
Posts in window
201
of 420 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. It is computed over the 198 of 201 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 8 November 2026
Posts held
420 (28 August 2026 – 8 November 2026)
Views total
681,215
Reactions total
13,682
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 13:38 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
40m 40s
Average length
39s
Measured directly from 63 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
26,493 reactions across 416 posts, in 26 distinct kinds. The most used accounts for 57.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
15,328
57.9%
🔥
8,289
31.3%
🤩
1,773
6.69%
😍
273
1.03%
👀
189
0.713%
👍
176
0.664%
❤🔥
120
0.453%
💘
85
0.321%
🤣
57
0.215%
😱
42
0.159%
🙏
34
0.128%
🐳
28
0.106%
🥰
17
0.064%
☃
15
0.057%
🤡
11
0.042%
👻
10
0.038%
🎄
9
0.034%
🕊
9
0.034%
😎
8
0.03%
🤝
6
0.023%
6 further kinds
14
0.053%
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 416 of the 420 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 26,493 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 420 most recent posts we hold, published 28 August 2026 to 8 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.
Advertising
Ad load
0.238%
1 of 420 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
4,390
over 1 measured post
Median views · rest
3,660
over 419 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
CQH36pWzJqE1dR7FgKLzE2L2g9uSSqYantdHtat72YxDMM
1
3 October 2026
3 October 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 420 most recent posts we hold, published 28 August 2026 to 8 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 201 posts held from the last 30 days (0.498%) 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).
New post 🥳🥳🥳
Памятник Кузьме Минину 1960-е/ 2023 🧐
Во времена Великой Отечественной войны в Нижнем Новгороде был объявлен конкурс эскизов для памятника Кузьме Минину. Выиграл скульптор Александр Колобов.
Монумент торжественно был открыт 7 ноября 1943-го года, он достойно признан первым памятником в военный период. Помимо этого и саму площадь переименовали из Советской в площадь Минина и Пожарского. Образ Мин…
🎼 Видели Патрисию Каас в Нижнем Новгороде❓ Да, и такое было 😁
Французская певица бывала у нас не раз. Например, в ноябре 2008 года ее концерт состоялся в цирке.
А в другой приезд организаторы вспоминали, что певица с удовольствием обедала щами, рыбой и овощами. Без списка деликатесов, ради которых организаторам пришлось бы срочно искать самолет до Парижа.
В общем, приезды французской дивы не сопровождались ссорами…
✍️ Маяковский против нижегородских морозов
Зимой 1927 года поэт приехал в Нижний всего на пару дней с творческим турне. В зале было настолько холодно, что зрители не снимали шуб и пальто. Сам Маяковский тоже вышел на сцену в верхней одежде, но вскоре неожиданно снял ее и продолжил выступление.
Морозная встреча с городом вдохновила поэта на несколько строк:
«Лед за пристанью за ближней,
оковала Волга рот,
это красн…
😮 У каждой остановки своя история
Мы проезжаем мимо них каждый день, но за привычными названиями иногда прячутся целые страницы прошлого Нижнего.
📍Порт-Артурская
Название напоминает об обороне Порт-Артура во время Русско-японской войны. В советское время улицы и остановки нередко называли в честь важных сражений, чтобы сохранить память о военных подвигах.
📍Тобольские казармы
В начале XX века здесь находились казар…
🪼 Над Арзамасом проплыли небесные медузы
Необычные полупрозрачные «щупальца» заметили в небе 29 октября. Это редкое метеорологическое явление называется вирга.
Так выглядят осадки, которые испаряются, не долетев до земли. Ветер растягивает капли и кристаллы льда в тонкие нити, из-за чего облако становится похожим на огромную медузу.
Такую красоту удалось запечатлеть преподавателям Арзамасского филиала ННГУ.
📸 Але…
👻 Кто ходит по нижегородскому острогу, если там никого нет❓
На площади Свободы от посторонних глаз скрыто здание, о котором многие не знают. Даже коренные жители.
Толстые стены, башни, бывшие камеры и карцеры — это все описание Нижегородского острога. Тюрьму здесь открыли в 1823 году. Кстати, именно поэтому площадь Свободы какое-то время называлась Острожной.
А позже у здания появилась репутация места, где ночная …
☃️ Утраченный Нижний: буквы на башне Нижегородской ярмарки
⚜️ Облик Главного ярмарочного дома неоднократно менялся: например, фасады успели побывать красно-белыми, центральную башню украшали флюгеры, а также пестрела надпись «Детский мир».
В начале 1990-х на крыше появились четыре буквы «Я», обращенные по сторонам света, вместе со стилизованным флагом страны. За два десятка лет конструкция пришла в негодность — ее …
🏛 Дом на Нижне-Волжской набережной в Нижнем, мимо которого страшно ходить
Купцы съехали, а призраки остались? Иначе как объяснить тот факт, что по вечерам внутри одного из старинных домов слышны голоса, старинная музыка и звон посуды, а в окнах мелькают силуэты?
Особняк Каменских на Верхне-Волжской, 11 недолго радовал своих хозяев. Дом построили в 1914 году, а после революции семья его покинула.
С этой историей и …
❤41🔥28🤩10❤🔥2👍1💘1
Showing the 12 most recent of 420 posts we hold for @BMECTE_no_HH. 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
@BMECTE_no_HH 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
2 October 2026
Most recent edit
2 October 2026
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.
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 November 2026 — this
entry's latest reading, not the date you are reading this.
“Вместе по Нижнему - места, локации, мероприятия, афиша в НиНо” (@BMECTE_no_HH), 29,010 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/BMECTE_no_HH.
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.