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 9 September 2026 and assigned it the closest of 31 fixed categories, at 82% 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 why it has no browse page of its own yet.
Growth
34 measurements spanning 53 days, net -1,097. 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 53,155–54,594 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
29 Sept 2026, 11:41
53,321
-250
18 Sept 2026, 00:02
53,571
-41
15 Sept 2026, 19:36
53,612
-44
14 Sept 2026, 00:36
53,656
-22
12 Sept 2026, 03:57
53,678
+4
9 Sept 2026, 19:39
53,674
-47
6 Sept 2026, 15:18
53,721
-35
4 Sept 2026, 05:15
53,756
-25
2 Sept 2026, 18:46
53,781
-39
1 Sept 2026, 14:05
53,820
-27
31 Aug 2026, 12:55
53,847
-28
30 Aug 2026, 15:27
53,875
-41
29 Aug 2026, 14:04
53,916
-6
28 Aug 2026, 11:13
53,922
-33
27 Aug 2026, 12:56
53,955
-30
26 Aug 2026, 11:58
53,985
-9
25 Aug 2026, 15:13
53,994
-30
24 Aug 2026, 18:05
54,024
-47
23 Aug 2026, 04:39
54,071
-21
21 Aug 2026, 16:35
54,092
first reading
Engagement
1,220 posts held, back to 7 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 116 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.94%
avg views ÷ 53,321 subscribers
Avg views / post
2,100
626 posts measured
Reaction rate
0.788%
reactions ÷ views · ER floor
Posts in window
626
of 1,220 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 593 of 626 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 3 October 2026
Posts held
1,220 (7 August 2026 – 3 October 2026)
Views total
1,314,404
Reactions total
9,984
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Oct 2026, 18:14 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
≈9,990
Videos
≈4,400
Links
≈14,100
Lifetime counters from Telegram’s own channel header, read 3 October 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
1h 14m
Average length
26s
Measured directly from 172 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
15,741 reactions across 940 posts, in 38 distinct kinds. The most used accounts for 23.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,670
23.3%
👍
2,634
16.7%
👎
1,883
12.0%
🤬
1,850
11.8%
🤡
1,486
9.44%
🙏
971
6.17%
🔥
546
3.47%
😭
422
2.68%
😱
366
2.33%
🤣
348
2.21%
⚡
292
1.86%
😁
273
1.73%
😢
153
0.972%
🤯
151
0.959%
🤔
108
0.686%
👌
84
0.534%
❤🔥
68
0.432%
👀
64
0.407%
💯
55
0.349%
🕊
54
0.343%
18 further kinds
263
1.67%
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 952 of the 1,000 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 15,741 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 17 August 2026 to 3 October 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.
Telegram Stars
Stars received
6
across the posts below
Posts paid on
6
of 1,000 we hold a reading for · 0.6%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @cheboksary_smi. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 17 August 2026 to 3 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Advertising
Ad load
1.10%
11 of 1,000 posts carry an ad marker
Regulatory tokens
11
posts carrying an erid · 11 distinct tokens
Median views · ads
1,600
over 11 measured posts
Median views · rest
2,050
over 989 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. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2W5zFGAkrx1
1
10 September 2026
10 September 2026
2W5zFGYpcBj
1
20 September 2026
20 September 2026
2W5zFGgbhZ3
1
14 September 2026
14 September 2026
2W5zFGz1NPb
1
27 August 2026
27 August 2026
2W5zFHNo68y
1
24 August 2026
24 August 2026
2W5zFHR8TSR
1
27 August 2026
27 August 2026
2W5zFJ4BUkR
1
1 September 2026
1 September 2026
2W5zFJ91JeV
1
3 October 2026
3 October 2026
2W5zFJWxxw3
1
31 August 2026
31 August 2026
2W5zFJbkQZF
1
28 August 2026
28 August 2026
2W5zFJyopmX
1
15 September 2026
15 September 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 1,000 most recent posts we hold (the sample is capped at 1,000), published 17 August 2026 to 3 October 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.
Россиянок массово вербуют вынашивать детей для иностранцев
После запрета суррогатного материнства для иностранцев в РФ агентства нашли лазейку и начали активно вывозить девушек за границу. Рожать за деньги зовут в Кыргызстан, Армению, Грузию, Беларусь и ОАЭ.
Суммарный ценник доходит до 3 миллионов рублей — в него входят базовая выплата около 2,1 млн, ежемесячные пособия и надбавки за двойню или кесарево сечение.
О…
👮♂️ В Чебоксарах водители устроили толкучку у ГАИ — и тут же попали на штрафы
Сотрудники ГАИ вышли к зданию и устроили внезапную облаву на тех, кто привык бросать машины где попало. Трое попались, сообщили в ведомстве.
Одна дама оставила авто прямо на пешеходном переходе. Вторая собрала целый букет — тонировка, парковка под запрещающим знаком у зебры. Инспекторы не церемонились: штрафы выписали на месте.
Как дума…
🔥В Чебоксарах становится жарко — и дело не в погоде.
Уже 31 октября на сцену выйдет московский мужской шоу-балет «Викинги» с программой «Аполлоны». Это 16+, но не про пошлость — это про энергию, харизму и танец, от которого сложно отвести взгляд.
⚡️Профессиональная хореография, мощный свет, звук и артисты, которые работают с топами российской сцены — от Гагариной до Киркорова. На сцене: соло, дуэты и массовые номера…
🚗 С 1 января иномарки могут подорожать из-за роста утильсбора
Сильнее всего это ударит по машинам мощнее 160 л.с., ввозимым по параллельному импорту: Land Cruiser 300 прибавит около 353 тыс. рублей, Lexus LX 600 — 357 тыс., а подержанные авто — до 527 тыс. рублей.
📲 Читайте нас в МАКС
😄 Подписаться | Прислать новость
🤖 Роботы-курьеры появятся на улицах Чувашии
Чувашия попала в список регионов, где в ближайшие три года на улицах будут тестировать роверов-доставщиков. Чтобы железные курьеры не устроили хаос, им прописали жёсткие правила: вес не больше 120 кило, свои номера, фары и видеорегистраторы. По тротуарам разрешили гонять до 10 км/ч, а на переходах сбавлять до 6.
❤️ — интересно посмотреть
⚡️ — нам такое не надо
📲 Читайте …
❄️ Снег начал идти в Чувашии
Первые признаки зимы зафиксировали в деревне Мусирмы Урмарского района — там пошёл снегопад, сообщает «ПроГород».
Ждёте снег?
❤️ — да
⚡️ — нет
📲 Читайте нас в МАКС
😄 Подписаться | Прислать новость
Молодость официально заканчивается в 35 лет, заявил академик РАН
Именно в этом возрасте организм проходит ключевой рубеж. Чтобы дольше сохранять бодрость и ясность ума, эксперт рекомендует постоянно нагружать мозг и тренировать память, не забивать на здоровье и заниматься любимым делом.
📲 Читайте Россию в МАКС
🇷🇺 Подписаться | Поделиться новостью
👏 Чувашский психолог обошла 82 региона и привезла победу с всероссийского финала
Наталья Ярабаева из Чувашского кадетского корпуса имени А.В. Кочетова взяла номинацию «Мастерство педагога-психолога» на конкурсе «Педагог-психолог — 2026». Финал собрал спецов из 82 регионов, но лучшей признали нашу, сообщает Минобразования.
Министр образования Чувашии Дмитрий Захаров лично поздравил Наталью и поблагодарил за то, что …
❄️Чувашия замерзнет: ночью 4 октября ударят заморозки до -3
Желтый уровень опасности объявили в МЧС. Холодно будет в большинстве районов республики — причем заморозки ожидаются уже на почве.
Из-за этого возможны проблемы: машины на дорогах может знатно раскидать, где-то начнутся перебои со светом и водой, а аварийным бригадам придется несладко.
❤️ — жаль, что тепло уходит...
📲 Читайте нас в МАКС
😄 Подписаться | П…
В российских регионах готовят отстрел 100 тысяч медведей с выплатами до 35 тысяч рублей за каждого хищника
Причиной стал резкий рост нападений на людей. В этом году от лап медведей пострадали уже 59 человек, шестеро погибли в Красноярском крае. Охоту на хищников собираются сделать бесплатной, а за каждого добытого зверя выплачивать от 15 до 35 тысяч рублей в зависимости от региона.
Новые правила могут утвердить уже…
🤬11❤4🤔4👎3
Showing the 12 most recent of 1,220 posts we hold for @cheboksary_smi. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@cheboksary_smi 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
1 September 2026
Most recent edit
1 September 2026
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 24 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Инцидент Чебоксары @inc_021 · 39,898 Telegram ranks this channel #9 of 42 here — alongside 41 others — read 30 August 2026
Чебоксары в курсе @pro_cheby · 28,944 Telegram ranks this channel #11 of 39 here — alongside 38 others — read 9 September 2026
Подслушано Чебоксары @pcheb_21 · 164,928 Telegram ranks this channel #12 of 35 here — alongside 34 others — read 20 August 2026
ЧП Чебоксары (Чебоксары с огоньком) @chp_cheb · 44,791 Telegram ranks this channel #14 of 50 here — alongside 49 others — read 28 August 2026
Как-то так | Чебоксары @vkratce_cheboksary · 29,675 Telegram ranks this channel #21 of 71 here — alongside 70 others — read 8 September 2026
Про Город Чебоксары | Новости Чувашии @pg21ru · 158,330 Telegram ranks this channel #22 of 46 here — alongside 45 others — read 20 August 2026
Россия на максималках | 18+ @maximum_news · 232,537 Telegram ranks this channel #34 of 84 here — alongside 83 others — read 12 August 2026
This channel appears in 7 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 29 September 2026 — this
entry's latest reading, not the date you are reading this.
“Новости Чебоксар и Чувашии” (@cheboksary_smi), 53,321 subscribers as measured 29 September 2026. Telegram Register, tgregister.com/channel/cheboksary_smi.
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.