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Channel

DHARMA1937

@dharma1937

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

9,284subscribers

-166 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001324575150
TypeChannel
Username@dharma1937
Descriptiondh1937.ru ДЛЯ СВЯЗИ: @dharma_1937_bot ПОДДЕРЖАТЬ: Boosty: https://boosty.to/dharma1937 XMR:88uKBTHV4HR7fdaVaK6D7qXDkc2kdjS8Ag1bkFxtKJexgHTgjKKr4rwF3GmMQUu6YvXWsURL1g4mF7pHBp2uvy2R8WEQ8Gd
Created28 May 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/dharma1937

Topic

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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

9,2849,4509,3676 August 2026 — 9,450 subscribers6 August 2026 — 9,450 subscribers9 August 2026 — 9,444 subscribers12 August 2026 — 9,443 subscribers19 August 2026 — 9,437 subscribers22 August 2026 — 9,433 subscribers25 August 2026 — 9,424 subscribers28 August 2026 — 9,423 subscribers31 August 2026 — 9,419 subscribers3 September 2026 — 9,417 subscribers9 September 2026 — 9,398 subscribers13 September 2026 — 9,387 subscribers17 September 2026 — 9,374 subscribers26 September 2026 — 9,350 subscribers5 October 2026 — 9,349 subscribers11 October 2026 — 9,327 subscribers15 October 2026 — 9,328 subscribers18 October 2026 — 9,319 subscribers20 October 2026 — 9,311 subscribers23 October 2026 — 9,310 subscribers26 October 2026 — 9,311 subscribers30 October 2026 — 9,300 subscribers2 November 2026 — 9,295 subscribers5 November 2026 — 9,284 subscribers6 August 20265 November 2026
24 measurements spanning 91 days, net -166. 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 9,259–9,475 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
5 Nov 2026, 13:589,284-11
2 Nov 2026, 07:199,295-5
30 Oct 2026, 03:219,300-11
26 Oct 2026, 19:179,311+1
23 Oct 2026, 13:359,310-1
20 Oct 2026, 20:009,311-8
18 Oct 2026, 01:569,319-9
15 Oct 2026, 00:159,328+1
11 Oct 2026, 10:569,327-22
5 Oct 2026, 05:029,349-1
26 Sept 2026, 16:379,350-24
17 Sept 2026, 16:389,374-13
13 Sept 2026, 07:379,387-11
9 Sept 2026, 05:159,398-19
3 Sept 2026, 12:159,417-2
31 Aug 2026, 08:259,419-4
28 Aug 2026, 19:039,423-1
25 Aug 2026, 19:239,424-9
22 Aug 2026, 14:469,433-4
19 Aug 2026, 14:049,437first reading

Engagement

20 posts held, back to 31 March 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 40 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
25.0%
avg views ÷ 9,284 subscribers
Avg views / post
2,320
1 post measured
Reaction rate
1.90%
reactions ÷ views · ER floor
Posts in window
1
of 20 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
WindowRolling 30 days · latest post in window 17 October 2026
Posts held20 (31 March 2025 – 17 October 2026)
Views total2,320
Reactions total44
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 22:18 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
462
Videos
13
Links
326

Lifetime counters from Telegram’s own channel header, read 6 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

2,293 reactions across 20 posts, in 16 distinct kinds. The most used accounts for 52.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,19352.0%
🔥44419.4%
❤23510.2%
🤔1476.41%
👎783.40%
😁411.79%
👏401.74%
🎉381.66%
🤮331.44%
🤬160.698%
😱70.305%
😢60.262%
🙏50.218%
🤯50.218%
🤩30.131%
🥰20.087%

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 20 of the 20 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 2,293 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 31 March 2025 to 17 October 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 1 post held from the last 30 days (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).

17 Oct 2026, 12:55 UTC≈2,320 views44 reactionsread 6 November 2026
Forwarded from @dharma1937_fmPhoto

🤢 В прямом эфире в передаче «Рабочий Случай» на dharmaradio'37 Сергей Олешко, дворник, автор «Записок тверского дворника» (недавно вышла одноименная книга), режиссер документального фильма «Тверь – город панков» (последний показ состоится в Твери 17 октября). Присылайте свои вопросы, подключайтесь 17 октября в 16:00 к эфиру. 🤢слушать эфир 🤢обратная связь 🤢поддержать dharmaradio'37 #рабочийслучай 17.10.2026

🔥30👍9❤4🤔1

22 May 2026, 14:18 UTC≈9,460 views96 reactionsread 6 November 2026

#суждения РАЗНЫЕ ИНСТРУМЕНТЫ, ДА ОДИН АНСАМБЛЬ или ЛЮБОЙ УКЛОН ПЛОХ, НО ХУЖЕ ТОТ, КОТОРЫЙ СЕЙЧАС СИЛЬНЕЕ «Краткий курс истории ВКП(б)» несколько раз демонстрирует очень интересный паттерн поведения различных уклонистов. Дело в том, что разные группы, их лидеры, намеренно отклоняясь то в правую, то в левую сторону относительно генеральной линии, доводят себя потом до такой ненависти к представителям этой самой генер…

🔥43🤔22❤13😁7🤮6👏4👍1

29 Mar 2026, 07:55 UTC≈12,600 views83 reactionsread 6 November 2026

начало Книга будет интересна прежде всего тем, кто имел похожий опыт работы на производстве. Именно потому что: «Самое забавное, что изложенное тут — правда.» (с). Было бы очень интересно узнать, как воспринимают повесть люди, далекие от тематики промышленного производства. Но для человека, хоть боком соприкоснувшимся с заводом, книга и её герои будут близки и понятны. Время идёт, но проблемы остаются, ибо самы…

👏31🔥20👍19🤔8❤5

29 Mar 2026, 07:55 UTC≈8,380 views55 reactionsread 6 November 2026

начало Действие повести происходит на руинах почившего химического завода «Тасма», производившего в советское время фотопленку и магнитную ленту. Развал СССР и кризис отрасли превратили некогда передовое предприятие в средоточье разрозненных цехов, производящих химическую продукцию, теперь уже в смешных масштабах. В одном из цехов работают наши герои. Зададимся вопросом: как сложилась бы судьба молодых людей в 80-…

👍24🔥14❤10🤔7

29 Mar 2026, 07:54 UTC≈5,500 views73 reactionsread 6 November 2026
Photo

«Самое забавное, что изложенное тут – правда» Эта фраза, знаменующая заводскую пьянку-«корпоратив», смогла бы стать эпиграфом повести Алексея Макарова и Булата Галеева «Хроника пикирующего аппаратчика». Мир промышленного рабочего мало интересен массовой культуре, да и немассовой тоже. 20-й век стал золотым для человека труда, с произведениями Максима Горького и фильмотекой СССР 30-60-х годов. Теперь о рабочем филь…

❤31🔥20👍16🤔6

14 Mar 2026, 15:50 UTC≈7,390 views42 reactionsread 6 November 2026
Forwarded from @dharma1937_fmPhoto

🛌 Первый выпуск новой рубрики на dharmaradio'37 – ПЕРЕДАЧА МУЗЫКИ. Тема эфира: Группа ДК: в контексте эпохи перемен. В гостях: Владислав Селиванов – начальник участка. Олег Панарьин - культуртрегер. Предыдущие эфиры с Владом Селивановым: 🤳 Армагеддон-попс: эстрада Перестройки как явление 🤳 Шансон 🛌 слушать эфир 🛌 задать вопрос в чате 🛌 обратная связь 🛌 поддержать dharmaradio'37

👍26❤14🔥1🤮1

17 Oct 2025, 10:30 UTC≈19,200 views101 reactionsread 6 November 2026

Наконец это произошло! «Тотальный Субъект» можно прочесть на сайте

🎉38👍38❤11🔥7👎2🤮2🤔1🥰1

22 Sept 2025, 06:15 UTC≈18,800 views134 reactionsread 6 November 2026
Forwarded from @dharma_zine

https://youtu.be/nNIbnX8P4Zg?feature=shared Обязательно к просмотру каждому коммунисту!

🔥94👍25❤14🤔1

29 Jul 2025, 07:10 UTC≈19,800 views106 reactionsread 6 November 2026
Forwarded from @PRAXIA21

#Перевыпуск #Статья О языках малых народов Когда мы поднимаем вопрос о необходимости изучения национального языка малыми народами в условиях классовой борьбы, важно сразу отмести поверхностное, формально-либеральное понимание этой проблемы как исключительно культурной или гуманитарной. На деле мы имеем дело с глубинным явлением, коренящимся в объективных материальных условиях и выражающим противоречие между интереса…

👍64❤20👎8🔥5🤮4🤔3😁2

13 Jul 2025, 15:05 UTC≈14,200 views221 reactionsread 6 November 2026
Forwarded from @dharma1937_fmPhoto

СВОБОДУ ИВАНУ МЕРЕЖНИКОВУ! 11 июня сотрудниками ФСБ был задержан Иван Мережников по подозрению в якобы публикации персональных данных гражданки Заметаевой М.А. Подробности были опубликованы здесь. 12 июня состоялось судебное заседание, на котором в отношении Мережникова была избрана мера пресечения в виде домашнего ареста. В заседании принял участие депутат Совета депутатов МО «Воткинский район» Мазунин А.О., котор…

👍117🔥46❤29🤬16😱7😢4🤔1😁1

11 Jul 2025, 03:38 UTC≈9,600 views89 reactionsread 6 November 2026
Forwarded from @dharma_zine

«Именно исходя из этого нужно судить о свободе слова в конкретный исторический момент. Свобода для кого и когда? Для нас — да, для нас — всегда, для нас — в рамках дисциплины нашего лагеря, служащей пролетарским задачам и целям. Для союзников — да, пока они союзники, но изобличая их враждебные или лицемерные по отношению к пролетариату установки. Для врагов — даже для них да, до поры до времени, пока они сами же себя…

👍59👎12🤔6😁6❤5🙏1

8 Jul 2025, 04:04 UTC≈11,800 views168 reactionsread 6 November 2026
Forwarded from @newraznochinets

Реальные и декларативные демократы Андрей Рудой* снял ролик о «левых фриках», в котором рассмотрел разные этапы постсоветского левого движения. Понятно, что исходя из названия, в центре внимания оказались эпатажные личности, выделяющиеся за счет своего поведения, идей и лозунгов. С чем я не согласен с Андреем по существу ролика? 1) Андрей объединяет в одну категорию «левых фриков» лидера движения социальных низов…

👍106🤔30👎13❤8🤮5😁3👏1🔥1

Showing the 12 most recent of 20 posts we hold for @dharma1937. 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

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 1 registered channel — 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.

Names

Channels on the register whose handles appear in this channel's posts.

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“DHARMA1937” (@dharma1937), 9,284 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/dharma1937.

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.