Politics & activism — 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 17 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
14 measurements spanning 52 days, net -23. 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 1,488–1,517 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
26 Sept 2026, 23:21
1,491
-2
17 Sept 2026, 18:19
1,493
-1
14 Sept 2026, 01:40
1,494
-6
10 Sept 2026, 19:17
1,500
-3
5 Sept 2026, 20:36
1,503
+4
1 Sept 2026, 19:18
1,499
-3
29 Aug 2026, 14:43
1,502
-3
26 Aug 2026, 23:39
1,505
-2
23 Aug 2026, 16:16
1,507
+1
16 Aug 2026, 19:57
1,506
-3
13 Aug 2026, 00:26
1,509
-4
9 Aug 2026, 23:33
1,513
-1
6 Aug 2026, 13:32
1,514
no change
6 Aug 2026, 08:02
1,514
first reading
Engagement
11 posts held, back to 5 December 2024 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 11 posts for this entry, the most recent from 9 September 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 38s
Average length
49s
Measured directly from 2 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
297 reactions across 11 posts, in 15 distinct kinds. The most used accounts for 37.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
112
37.7%
😁
69
23.2%
😢
43
14.5%
👏
16
5.39%
🌭
13
4.38%
👍
12
4.04%
🤬
9
3.03%
🤔
7
2.36%
💯
4
1.35%
🐳
3
1.01%
💩
3
1.01%
😱
2
0.673%
🤮
2
0.673%
🕊
1
0.337%
🤡
1
0.337%
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 11 of the 11 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 297 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 5 December 2024 to 9 September 2025, 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
1
across the posts below
Posts paid on
1
of 11 we hold a reading for · 9%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @protokol_samara. 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 11 most recent posts we hold for this entry, published 5 December 2024 to 9 September 2025. 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.
На этой неделе в разных регионах России пройдут выборы.
На многих россиян — особенно работников бюджетной сферы — оказывается давление: их вынуждают голосовать за коррумпированных и поддерживающих войну кандидатов и требовать фото заполненного бюллетеня с участка.
Если вы не хотите участвовать в фальсификациях и вам противен кандидат от власти — у вас есть выбор.
🔹 Активисты запустили “Галочка-бот” — инструмент ци…
Мы ползли четверо суток. Война заключенного Платова
В 2022 году 35-летнему уроженцу Ульяновска Александру Платову, сидевшему за убийство жены, улыбнулась «удача» — его завербовали в ЧВК «Вагнер». Спустя полгода он приехал домой уже вольным человеком, но мирная жизнь оказалась не для него. В конце 2024 года он заключил контракт с Минобороны и вернулся на фронт. На этот раз бывшего наемника и его товарищей использовал…
‼️Черные птицы. Кто украл народные деньги?
После разлива мазута в Черном море, в декабре 2024 года, возникло волонтерское движение — активисты борются с последствиями катастрофы. В том числе они спасают пострадавших птиц. Волонтеры собирают десятки миллионов рублей на свою работу, но кажется, их кто-то присвоил себе. «Протокол» пообщался с участниками «птичьей кампании» и попытался разобраться, что случилось.
Текстовая версия расследования «Чёрные птицы» доступна на сайте «Протокола».
Если вы по какой-то причине не можете открыть наш сайт, то перейдите по этой волшебной ссылке.
🖐 Привет, давно не виделись! Команда «Протокола» готовит большой материал про то, как тысячи волонтеров со всей страны спасали Черное море от последствий разлива мазута. Мы пообщались с теми, кто отмывал пострадаших птиц и выяснили, с какими трудностями столкнулась кампания. Скоро мы подробно расскажем о том, как это всё было устроено. А пока, подпишитесь на наш ютуб-канал, чтобы не пропустить.
Вчера мы опубликовали расследование про бизнес клана Ткачевых и то, как их фирмы помогают подсанкционным компаниям обходить ограничения. В карточках пересказываем наш материал. Посмотреть видео можно на нашем ютуб-канале, а прочитать текст на сайте. Без VPN ознакомиться с текстом можно по этой ссылке.
Поддержите работу «Протокола»! 🌟
Поддержите нашу работу подпиской! Это даст нам возможность чаще публиковать расследования и писать больше новостей. Спасибо, что вы с нами!
😢 После крушения в Черном море двух танкеров, находившийся в них мазут оказался у берегов Анапы и ее окрестностей
Местные жители остались один на один с экологической катастрофой и уже не просят, а требуют от президента и правительства прислать специалистов и обратиться за помощью к другим странам.
Как кубанские волонтёры, каждый день рискуя своим здоровьем, спасают животных и очищают пляжи от мазута, читайте в кан…
‼️ История деградации. Совет по правам человека
Цель Совета по правам человека (СПЧ) — защита прав и свобод граждан и содействие развитию институтов гражданского общества. Здесь правозащитники готовят Владимиру Путину предложения и доклады по вопросам прав человека и их нарушения. На деле защитить права и свободы часто не удается. Работе членов СПЧ мешают сотрудники администрации Президента, а сам президент часто не…
Бывший редактор «Протокол. Самара» Сергей Подсытник предложил собрать денег «на то, чтобы жопа Хинштейна повторила судьбу жопы Рогозина». На это обратил внимание телеграм-канал SOTA.
Подсытник подчеркнул, что он против того, чтобы жертвовать деньги украинской армии, но «по такому поводу» готов скинуться. Ранее Сергей Подсытник также работал в телеграм-канале SOTA.
«Чмо ебаное»: ГТРК «Курск» прокомментировала назначение Хинштейна врио губернатора Курской области
Журналист Олег Кашин обратил внимание на инцидент. Пост в телеграм-канале «Вести Курск» был удален вскоре после публикации, но успел сохранить свой след в архиве сервиса TGStat.
😁47👏6👍2😱2🤬1
Showing the 11 most recent of 11 posts we hold for @protokol_samara. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“Протокол. Самара” (@protokol_samara), 1,491 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/protokol_samara.
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.