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 81% 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
15 measurements spanning 41 days, net +79. 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 6,583–6,712 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 15:40
6,681
-16
13 Sept 2026, 17:20
6,697
+5
9 Sept 2026, 20:02
6,692
+24
4 Sept 2026, 20:17
6,668
+5
1 Sept 2026, 05:39
6,663
+20
29 Aug 2026, 14:17
6,643
+8
26 Aug 2026, 19:08
6,635
-3
23 Aug 2026, 09:37
6,638
-5
20 Aug 2026, 06:46
6,643
+2
17 Aug 2026, 12:36
6,641
+43
14 Aug 2026, 05:15
6,598
-11
11 Aug 2026, 06:25
6,609
+6
8 Aug 2026, 14:07
6,603
+1
7 Aug 2026, 18:31
6,602
no change
7 Aug 2026, 18:24
6,602
first reading
Engagement
39 posts held, back to 17 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 8 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 39 posts for this entry, the most recent from 18 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
13m 04s
Average length
2m 11s
Measured directly from 6 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
749 reactions across 30 posts, in 20 distinct kinds. The most used accounts for 33.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
251
33.5%
👍
208
27.8%
❤
114
15.2%
😁
48
6.41%
💯
31
4.14%
🤣
30
4.01%
🤬
23
3.07%
⚡
10
1.34%
🤔
8
1.07%
😱
7
0.935%
👀
5
0.668%
🤡
4
0.534%
😢
2
0.267%
🙏
2
0.267%
🍓
1
0.134%
🍾
1
0.134%
👌
1
0.134%
👎
1
0.134%
🤝
1
0.134%
🫡
1
0.134%
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 33 of the 39 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 749 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 17 July 2026 to 18 August 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.
😎😹😫🤓🙁🙁🤓
Вадим приветствую🫱🏻🫲🏼
На фотке с Джемом и Эдиком (с Читинскими), выше всех стоит Серёга Румянцев (Джузеппе, Джуз). Уселся в 2005 со всеми по 210 статье. Дали меньше всех. По выходу Эдька подарил ему Камри новую, а тот надежд не смог реализовать возложенных и сдулся. Потыкался, помыкался и пошел на ЖД работать помощником машиниста. Еще, когда на трассе стрельнули, Антоху Кружаева подранили, он в больничке Хаб…
Четвертый справа Кузьмиченок стоит , а рядом слева в очках главарь Меценатовской ОПГ Ведёра, тоже несколько книг написал. В желтой футболке стоит их киллер Андрей Дрюня. Был номер один в списке МВД самых разыскиваемых преступников России. Шерстобитова обошел.
Из ФБ Константина Черкашина.
Выстрел в мое будущее.
Введение
Мне очень часто задают вопрос: почему я уехал из России? Я редко рассказываю о своей службе в отделе по борьбе с организованной преступностью в Хабаровске.
При региональном управлении РУБОП ДВ существовал легендарный Седьмой отдел. Его задачей была слежка за преступными элементами, но главное — именно здесь несли службу оперативные сотрудники, которых …
Тут всё оказалось банально просто)
Менялы (люди, которые обменивали рубли на доллары и наоборот) собрали нал в рублях и везли деньги в аэропорт на рейс Хабаровск- Москва. В Москве планировалось оптом закупить американские деньги и в Хабаровске продавать с наценкой.
The shares total 103%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
🥺😀🤟
По Хабаровски
В 1996 г экипаж ГИБДД остановил автомобиль на развязке Большая - Проспект 60 лет Октября, в то время там был стационарный пост. Вторая легковушка остановилась сама. Инспекторы досмотрели оба автомобиля и по нашим деньгам (на 1996 г не скажу какая сумма была) изъяли около 200 000 000 руб налом в китайских сумках. Точнее изымали мы, как ближайший к посту орган внутренних дел. Купюры были мелкие и отде…
🥺😀🤟
Серый Toyota Land
Cruiser Prado 120 остановили на трассе под Новосибирском за тонировку. Инспектор заглянул в салон и застыл. Денег было так много, что их некуда было складывать.
Владелец признался : машина бронированная, вес почти 5 тонн.
Сумма, которую насчитали эксперты, заставила замолчать даже бывалых оперативников. 5,1 миллиарда рублей.
8 августа на 38-м км трассы Р-256 экипаж ДПС остановил серый Prado за т…
🔥15❤9👍6🤔1
Showing the 12 most recent of 39 posts we hold for @Kurasov_team. 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.
Polls
The 4 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 103%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Для чего тогда следили за девушкой? Мотив преступления пока не ясен.32%
The shares total 105%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
The shares total 102%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 39 most recent posts we hold, published 17 July 2026 to 18 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Курасов и Партнеры” (@Kurasov_team), 6,681 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Kurasov_team.
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.