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 1 October 2026 and assigned it the closest of 31 fixed categories, at 71% 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
4 measurements spanning 53 days, net -3. 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 23–26 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
29 Sept 2026, 13:59
23
-1
15 Aug 2026, 01:05
24
-2
11 Aug 2026, 08:33
26
no change
8 Aug 2026, 00:31
26
first reading
Engagement
6 posts held, back to 2 February 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 6 posts for this entry, the most recent from 4 February 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
1,189 reactions across 5 posts, in 14 distinct kinds. The most used accounts for 12.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
150
12.6%
❤
139
11.7%
💯
139
11.7%
🎉
130
10.9%
👍
129
10.8%
😍
129
10.8%
❤🔥
125
10.5%
🥰
121
10.2%
🤩
113
9.50%
😱
9
0.757%
👌
2
0.168%
🤨
1
0.084%
🤬
1
0.084%
🤯
1
0.084%
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 5 of the 6 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 1,189 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 2 February 2026 to 4 February 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.
Уважаемые водители!🤝
В этом материале — информация о том, как убратьзаказ из интерфейса приложения Яндекс Про вмомент принятия заказа (желательно в первые секунды) и как корректно отменить заказ безпотери активности💥
👇🏻Ниже — описание способов и правильныепроцедуры.👇🏻
Как «убрать» заказ из интерфейса в первыесекунды принятия (неофициальные способы)
❗️Важно ❗️Повторный запуск приложения нужно производить примерно че…
Яндекс Такси тестирует «динамический коэффициент» для низких зон спроса: в часы застоя система снижает базовую ставку на 15–20 %, аргументируя это «балансировкой загрузки». Водители из Казани и НижнегоНовгорода уже столкнулись с падением среднего чека на 80–120 руб. за поездку.
Хотите еще жести ))) 18:09 ☝️ с 07-09 минут каждого вечернего часа самые высокие кэфы по городу!!! И что же показывает на этот раз Яша☝️😱 231₽ - товарищи это ДНО
18:02 в городе Иркутск. 11 минут до клиента, 21 минута с клиентом, цена поездки 266₽ 😱 минус процент, налоги и бензин и зарабатываем 170₽ за 35 минут работы 😱 не считая амортизацию авто ☝️ как вам такой час пик? Пробки 7 баллов между прочим 😏
Привет, коллеги! 🤝 Рады видеть вас в нашем сообществе.
•Здесь мы вместе отстаиваем право на достойный заработок и обсуждаем, как изменить несправедливую систему тарифов.📉📈📊
Ваша задача — не оставаться в стороне:☝️
=> Делитесь этим каналом с водителями,которых тоже беспокоят низкие тарифы
=> Приглашайте единомышленников — чембольше нас, тем весомее наш голос!
Ваш опыт и голос важны — давайте добиваться перемен со…
Showing the 6 most recent of 6 posts we hold for @YaProtiv. 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.
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.
“Я-ПРОтив Иркутск” (@YaProtiv), 23 subscribers as measured 29 September 2026. Telegram Register, tgregister.com/channel/YaProtiv.
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.
