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 20 September 2026 and assigned it the closest of 31 fixed categories, at 44% 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
7 measurements spanning 40 days, net +12. 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 644–661 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Sept 2026, 16:21
658
-1
7 Sept 2026, 17:39
659
+9
21 Aug 2026, 02:08
650
-3
13 Aug 2026, 04:16
653
+4
6 Aug 2026, 21:46
649
+3
6 Aug 2026, 17:31
646
no change
6 Aug 2026, 03:06
646
first reading
Engagement
8 posts held, back to 5 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 1 page 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 8 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
532 reactions across 8 posts, in 29 distinct kinds. The most used accounts for 27.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💯
147
27.6%
❤
120
22.6%
🤬
54
10.2%
🤯
44
8.27%
🍾
33
6.20%
✍
22
4.14%
🔥
15
2.82%
😁
15
2.82%
👍
14
2.63%
🙏
9
1.69%
💋
8
1.50%
🤝
8
1.50%
👎
7
1.32%
🤡
6
1.13%
🌭
5
0.94%
😢
4
0.752%
🤔
4
0.752%
🫡
3
0.564%
❤🔥
2
0.376%
💊
2
0.376%
9 further kinds
10
1.88%
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 8 of the 8 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 532 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 5 July 2026 to 5 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.
Минимальный порог заработной платы для высококвалифицированных специалистов подняли в 3 раза.
С 1 марта 2027 года для получения иностранцем статуса ВКС необходимо зарабатывать более 717 тысяч рублей в месяц. Это решение принимается на фоне постоянных разговоров о дефиците специалистов на рынке труда. Более того, такую зарплату в России получают доли процента, а число выданных разрешений на работу для ВКС итак не оче…
ЗНАКОМСТВО С КОМАНДОЙ ЦАМТ 🤯🤯🤯
В канале уже более 600 подписчиков — самое время рассказать, кто же стоит за нашими исследованиями.
ЦАМТ — это большая команда, у нас много волонтёров и консультантов, но ядро нашей команды — в карточках!
Приятно познакомиться :)
Подписаться
Мигранты – самые законопослушные жители России!
Об этом вам расскажут не только депутаты Государственной Думы и министры, но и исследователи. При этом русские продолжают недоверять мигрантам и даже опасаются их: согласно ВЦИОМ каждый второй россиянин не хочет, чтобы мигранты перевозили свои семьи в Россию. Неужели это объясняется бытовой ксенофобией русских?
Нет, конечно. Общая статистика преступности попросту иска…
Франция и Германия: опыт «создания» этнических анклавов
После Второй мировой войны Европа столкнулась с задачей восстановления разрушенной инфраструктуры и экономики. Чтобы ускорить выполнение этой задачи, Франция и Германия начали приглашать трудовых мигрантов из своих бывших колоний на Севере Африки (Франция) и Турции, Италии, Югославии (Германия).
Франция придерживалась принципа jus soli, то есть права почвы, и …
От стройки к доставке: где сейчас работают мигранты?
В 2012 году на стройке работал каждый третий приезжий, к 2024 – лишь каждый шестой. Почему занятость мигрантов в строительстве упала в 2 раза?
Около половины недавно приехавших мигрантов трудоустраивается в два сектора: строительство и торговля. Однако со временем всё большее число мигрантов “вымывается” из этих сфер.
Куда мигранты уходят работать? Мигранты-стар…
За 2024 год из России ушло около $25 миллиардов. В основном это переводы трудовых мигрантов домой: в среднем каждый переправляет на родину около $360 в месяц — треть, а нередко и половину всего заработка.
Куда улетели деньги? Мы посчитали:
— Узбекистан — $11,5 млрд
— Таджикистан — $6,2 млрд
— Армения — $3,2 млрд
— Киргизия — $3 млрд
В 2025-м сумма поднялась ещё выше. Один только Узбекистан принял из-за рубежа $…
Вы заметили, как разошлась и нормализовалась практика носить закрытую исламскую одежду? Это, конечно, связано и с миграцией, и с большей видимостью мусульманских сообществ, и с тем, что религиозная идентичность всё чаще выражается открыто. Но если раньше женщины обходились платком или хиджабом, то теперь никаб, бурка, паранжа стали деталью нашей повседневности. А любая дискуссия о запрете религиозной одежды сплетаетс…
💯50❤12🔥8🤬2😨2🐳1🕊1😁1
Showing the 8 most recent of 8 posts we hold for @camt2025. 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 poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is 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 8 most recent posts we hold, published 5 July 2026 to 5 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
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 12 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 14 September 2026 — this
entry's latest reading, not the date you are reading this.
“ЦАМТ” (@camt2025), 658 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/camt2025.
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.
