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 20 September 2026 and assigned it the closest of 31 fixed categories, at 73% 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
11 measurements spanning 99 days, net -33. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Nov 2026, 03:22
791
+786
3 Nov 2026, 07:56
5
-1
13 Oct 2026, 05:48
6
+2
3 Oct 2026, 12:18
4
-811
11 Sept 2026, 18:38
815
-2
3 Sept 2026, 10:24
817
-4
28 Aug 2026, 05:54
821
-3
20 Aug 2026, 08:17
824
+4
14 Aug 2026, 06:53
820
-4
6 Aug 2026, 15:18
824
no change
6 Aug 2026, 11:45
824
first reading
Engagement
32 posts held, back to 22 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 2 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
64.3%
avg views ÷ 791 subscribers
Avg views / post
508
10 posts measured
Reaction rate
4.35%
reactions ÷ views · ER floor
Posts in window
10
of 32 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 11 November 2026
Posts held
32 (22 July 2026 – 11 November 2026)
Views total
5,084
Reactions total
221
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 03:22 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
895
Videos
751
Links
176
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. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
737 reactions across 32 posts, in 18 distinct kinds. The most used accounts for 24.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
181
24.6%
😁
155
21.0%
🔥
124
16.8%
💯
61
8.28%
🤣
40
5.43%
custom 5411321092566439346
29
3.93%
🤯
27
3.66%
🏆
23
3.12%
👍
22
2.99%
custom 5305636219588199820
19
2.58%
👀
15
2.04%
😢
11
1.49%
🐳
9
1.22%
😱
9
1.22%
👏
6
0.814%
🌚
4
0.543%
custom 6325700173682968363
1
0.136%
❤🔥
1
0.136%
Custom emoji. 3 of the rows above are 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 counts beside them are 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 32 of the 32 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 737 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 22 July 2026 to 11 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
6
across the posts below
Posts paid on
6
of 32 we hold a reading for · 19%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ostapsuleimanibragim. 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 32 most recent posts we hold for this entry, published 22 July 2026 to 11 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: 1 of 10 posts held from the last 30 days (10.0%) 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).
Аплодисменты в самолётах являлись признанием мастерства пилота.
Потом, в какой-то период времени, их сделали моветоном, мол, ребята по умолчанию красавчики, и ваши хлопки их оскорбляют, а кто хлопает, тот из деревни.
Но я хочу отметить, что сейчас, когда летать стало трудно и опасно, они выглядят очень уместно.
Мы приземлились, пассажиры хлопали, экипаж улыбался.
Нашел у себя фотографии с Армении, где меня встречали на бронированых тачках местные авторитеты и потом мы ели шашлык в их логове и фоткались 🤣
Кажется мои истории из жизни после 45 лет будут выглядеть как интервью Успенской
Встретил в Махачкале приезжих русских ребят, которые открыли небольшой бизнес. По доброте пришёл давать непрошеные советы, как лучше и как правильнее сделать, даже дал один небольшой «пас», на что получил ответ, что они профессионалы, готовятся к масштабированию и захвату рынка (вежливо послали).
Через три месяца закрылись.
PS: Может, пора переставать гонять в красных спортивках, чтобы люди прислушивались? Или не в…
Я периодически чередую активность в своих социальных сетях.
Когда нагрузка возрастает, всегда хочется ворваться в свой уютный ТГ, где все свои.
Рассказываю, что делаем.
Закончили стройку и… начали стройку 😅
Не ровён час, когда к ней прибавится ещё одна в параллель.
А это значит что? Правильно, время добавлять мощности нашей и без того мощной команде.
Сейчас против моей воли, но по зову долга как капитана мы перех…
История следующая. Вполне ожидаемая.
Пока мы соревнуемся в том, кто круче генерирует ИИ-контент, ведущие бренды постепенно возвращаются к ручной работе хендмейду.
И это закономерно: как только производство визуально безупречного контента стало доступно каждому, сама безупречность перестала быть конкурентным преимуществом.
Думаю, в 2027 году эта мысль многим пригодится.
Apple - выставка ручной вышивки
Polaroid - ф…
Ситуация следующая: когда в Тюмени город затопило нечистотами, появилась проблема с питьевой водой.
Мы с местными предпринимателями организовали 50 тонн воды из Махачкалы и отправили запрос в РЖД, чтобы они помогли её оперативно доставить до места.
В итоге, пока мы прошли все бюрократические процедуры, надобность в воде отпала. Так ещё и после предоставления всей информации с нашей стороны выяснилось, что РЖД не об…
Обратная сторона «Яндекса» разворачивается сейчас на просторах интернета.
Он так долго пожирал бизнесы и занимал позицию монополиста (тут передаю привет ФАС), играя по одним и тем же нехитрым правилам:
Зайти на рынок себе в убыток, задушить демпингом всех конкурентов, остаться одному и взвинтить цены, как по кайфу.
И когда пришло время пожалеть Я-гиганта, люди не испытали эмпатии.
Государство, думаю, также теперь…
💯28❤10🔥5
Showing the 12 most recent of 32 posts we hold for @ostapsuleimanibragim. 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.
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.
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 13 November 2026 — this
entry's latest reading, not the date you are reading this.
“Тот самый ИП Долгих” (@ostapsuleimanibragim), 791 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/ostapsuleimanibragim.
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.