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 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
62 measurements spanning 97 days, net +161. 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 17,271–17,615 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
11 Nov 2026, 10:16
17,500
+15
9 Nov 2026, 12:46
17,485
+25
8 Nov 2026, 01:30
17,460
+3
6 Nov 2026, 21:49
17,457
-17
5 Nov 2026, 22:39
17,474
-2
4 Nov 2026, 22:54
17,476
-5
4 Nov 2026, 00:17
17,481
-6
3 Nov 2026, 00:35
17,487
+2
2 Nov 2026, 01:01
17,485
-8
1 Nov 2026, 03:19
17,493
-82
31 Oct 2026, 01:28
17,575
+7
30 Oct 2026, 00:58
17,568
-4
28 Oct 2026, 21:47
17,572
-1
27 Oct 2026, 21:06
17,573
-2
26 Oct 2026, 19:50
17,575
+7
25 Oct 2026, 21:07
17,568
+3
23 Oct 2026, 22:04
17,565
+2
22 Oct 2026, 21:27
17,563
+30
21 Oct 2026, 14:56
17,533
+15
19 Oct 2026, 13:46
17,518
first reading
Engagement
344 posts held, back to 4 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 76 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
17.1%
avg views ÷ 17,500 subscribers
Avg views / post
2,990
102 posts measured
Reaction rate
1.06%
reactions ÷ views · ER floor
Posts in window
102
of 344 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 13 November 2026
Posts held
344 (4 August 2026 – 13 November 2026)
Views total
305,320
Reactions total
3,231
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 17:14 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
≈12,400
Videos
≈3,460
Links
≈10,200
Lifetime counters from Telegram’s own channel header, read 13 November 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
42m 34s
Average length
34s
Measured directly from 76 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
10,392 reactions across 333 posts, in 32 distinct kinds. The most used accounts for 20.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,148
20.7%
🤡
1,705
16.4%
👍
1,274
12.3%
🤬
841
8.09%
😭
650
6.25%
😁
410
3.95%
🤣
408
3.93%
👀
382
3.68%
🙏
352
3.39%
🔥
323
3.11%
🤯
249
2.40%
👎
240
2.31%
💯
186
1.79%
🕊
164
1.58%
🏆
151
1.45%
🌭
143
1.38%
☃
138
1.33%
🙈
94
0.905%
👏
75
0.722%
🦄
72
0.693%
12 further kinds
387
3.72%
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 344 of the 344 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 10,766 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 344 most recent posts we hold, published 4 August 2026 to 13 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.
Telegram Stars
Stars received
115
across the posts below
Posts paid on
8
of 344 we hold a reading for · 2%
Most on one post
101
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @hello_istra. 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 344 most recent posts we hold for this entry, published 4 August 2026 to 13 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 13 of 102 posts held from the last 30 days (12.7%) 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).
Пусконаладочные работы прошли на новой блочно-модульной котельной на улице Панфилова.
Ранее подрядчики провели гидравлическое испытание и проверили прочность и герметичность всех котлов, трубопроводов, теплообменников, арматуры.
Теперь котельную готовят к тестированию насосов для наладки. Через 10 дней планируется подать газ и произвести пробный пуск.
Котельная будет работать в автоматическом режиме и обеспечит те…
Что еще ждать в пятницу, 13?
Конечно, мегаливень — 28 л воды на кв.м земли.
В ближайшие часы нас накроет черная туча. Дождь будет лить примерно с 19 вечера до 4 утра.
Будьте осторожны, не паркуйтесь под деревьями, соблюдайте ПДД, как водители, так и пешеходы.
Истра Буря Безумие | Улыбаемся и MAXаем 👋
Истринские нейрохирурги успешно прооперировали редкую болезнь Форестье — патологию шейного позвонка
Из-за болезни пожилой мужчина испытывал трудности с глотанием твердой пищи.
По результатам обследования и КТ врачи обнаружили, что в связках позвоночника откладывались соли кальция, образовав костные разрастания, которые сдавливают пищевод и трахею.
После операции пациент смог самостоятельно вставать и есть, а контр…
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Всего в уборке снега этой зимой примут участие 415 сотрудников: дворники, водители, механизаторы и рабочие, и 140 единиц техники. Люди полностью обеспечены зимней спецодеждой и инвентарем, а техника подключена к системе Яндекс.Вектор для контроля работы.
Истра Буря Б…
Каракули на стенах домов и заборов истринские коммунальщики постоянно закрашивают
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Работы проводились в Глебовском, Дедовске, Новопетровском и Павловской Слободе. Сотрудники «Истринской теплосети» приводили в порядок фасады домов, входные группы, лифты и двери по адресам на улицах Босова, Адасько, Ленина, площади Револ…
Синичкин день отмечают сегодня в России
По народным приметам, именно к этому времени синицы, щеглы, снегири и другие зимующие птицы перебираются поближе к жилью в поисках пропитания.
Птичкам лучше всего подходят сырые семечки подсолнечника, сырое несоленое сало и замороженные ягоды.
У вас есть кормушка?
📸 Наталья Очева
Истра Буря Безумие | Улыбаемся и MAXаем 👋
Движение по Ленинградке перекроют сегодня ночью
В районе д. Пешки, где на днях рухнул переходный мост, конструкцию будут возвращать на место.
Ограничения будут действовать с 1.00 до 4.00 на не более 20–25 минут в каждую сторону.
ГАИ Подмосковья просит водителей заранее планировать свой маршрут.
Истра Буря Безумие | Улыбаемся и MAXаем 👋
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На чемпионате Михаил одержал победу над соперником из Венесуэлы во втором раунде отправив его в нокдаун. Второй бой для него не состоялся – противник отказался выходить на ринг. В полуфинале он выиграл у спор…
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👍15❤6🤡5🌭2💊2
Showing the 12 most recent of 344 posts we hold for @hello_istra. 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
@hello_istra edited 6 posts 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
17 August 2026
Most recent edit
11 November 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 2 registered channels — 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Истра, буря, безумие” (@hello_istra), 17,500 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/hello_istra.
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.