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Channel

Чеснаков

@Chesnakov

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Referenced elsewhere · Cite this entry

11,608subscribers

-1,493 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001367497042
TypeChannel
Username@Chesnakov
Created9 December 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/Chesnakov

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 50% 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

11,60813,10112,354.55 August 2026 — 13,101 subscribers6 August 2026 — 13,101 subscribers6 August 2026 — 13,095 subscribers7 August 2026 — 13,069 subscribers8 August 2026 — 12,972 subscribers9 August 2026 — 12,946 subscribers10 August 2026 — 12,934 subscribers11 August 2026 — 12,909 subscribers12 August 2026 — 12,881 subscribers13 August 2026 — 12,927 subscribers14 August 2026 — 12,896 subscribers16 August 2026 — 12,892 subscribers17 August 2026 — 12,812 subscribers18 August 2026 — 12,805 subscribers19 August 2026 — 12,741 subscribers20 August 2026 — 12,732 subscribers22 August 2026 — 12,710 subscribers23 August 2026 — 12,628 subscribers25 August 2026 — 12,607 subscribers26 August 2026 — 12,506 subscribers27 August 2026 — 12,501 subscribers28 August 2026 — 12,494 subscribers29 August 2026 — 12,057 subscribers30 August 2026 — 12,049 subscribers31 August 2026 — 12,036 subscribers1 September 2026 — 11,865 subscribers1 September 2026 — 11,861 subscribers3 September 2026 — 11,839 subscribers4 September 2026 — 11,833 subscribers7 September 2026 — 11,809 subscribers10 September 2026 — 11,696 subscribers12 September 2026 — 11,665 subscribers14 September 2026 — 11,650 subscribers16 September 2026 — 11,633 subscribers18 September 2026 — 11,608 subscribers5 August 202618 September 2026
35 measurements spanning 44 days, net -1,493. 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 11,384–13,325 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
18 Sept 2026, 13:5811,608-25
16 Sept 2026, 07:2111,633-17
14 Sept 2026, 12:5611,650-15
12 Sept 2026, 23:2111,665-31
10 Sept 2026, 23:5811,696-113
7 Sept 2026, 20:5711,809-24
4 Sept 2026, 23:3711,833-6
3 Sept 2026, 08:5811,839-22
1 Sept 2026, 23:0811,861-4
1 Sept 2026, 02:3611,865-171
31 Aug 2026, 03:3612,036-13
30 Aug 2026, 07:0412,049-8
29 Aug 2026, 09:3712,057-437
28 Aug 2026, 08:3812,494-7
27 Aug 2026, 09:4612,501-5
26 Aug 2026, 07:4212,506-101
25 Aug 2026, 04:2312,607-21
23 Aug 2026, 21:4512,628-82
22 Aug 2026, 09:0712,710-22
20 Aug 2026, 20:2812,732first reading

Engagement

54 posts held, back to 24 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 48 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
58.8%
avg views ÷ 11,608 subscribers
Avg views / post
6,820
13 posts measured
Reaction rate
0.117%
reactions ÷ views · ER floor
Posts in window
13
of 54 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 31 August 2026
Posts held54 (24 July 202631 August 2026)
Views total88,659
Reactions total104
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 23:35 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.

Reaction mix

529 reactions across 51 posts, in 5 distinct kinds. The most used accounts for 47.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍25147.4%
11421.6%
👎9217.4%
👌387.18%
👏346.43%

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 54 of the 54 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 559 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 54 most recent posts we hold, published 24 July 2026 to 31 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.

Recent posts

31 Aug 2026, 08:48 UTC603 views8 reactionsread 2 September 2026

https://chesnakov.ru/geograficheskij-fetishizm/

👍62

29 Aug 2026, 06:18 UTC≈3,640 views5 reactionsread 2 September 2026

📌 Некоторые важные публикации недели на «Актуальных комментариях»: 🔷 Михаил Карягин — о переговорах, которые уперлись в предел возможностей дипломатии. Переговорный процесс уперся в несовместимые требования сторон, поэтому сами по себе новые дипломатические контакты вряд ли принесут быстрый результат. Автор выделяет несколько факторов, которые способны изменить расчеты участников: наращивание дальнобойной эскалации,

👍3👌1👎1

29 Aug 2026, 04:48 UTC655 views5 reactionsread 2 September 2026
Forwarded from @chesnakovbooks

❗️АНОНС Приходите 24 сентября в Национальный центр "Россия". Поговорим в Литературном клубе с интересными людьми. О базовых знаниях и навыках для людей всех возрастов. О том, как использовать новые учебники для самообразования и развития. https://russia.ru/events/ctoby-pocitat-smysly-novye-ucebniki-dlia-detei-i-vzroslyx-put-v-budushhee

👍3👌2

28 Aug 2026, 07:31 UTC798 views8 reactionsread 2 September 2026
Photo

#ценнаяцитата #Капущинский

8

28 Aug 2026, 06:56 UTC≈1,730 views7 reactionsread 2 September 2026

И чувства добрые он ДЭГом пробуждал Зачем Москве тестовое голосование Сегодня в Москве пройдет тестирование системы дистанционного электронного голосования перед сентябрьскими выборами в Госдуму. Вопрос выбран удачный. С одной стороны, не токсичный (не по актуальной повестке), с другой – способный привлечь внимание горожан и создать реально боевые условия тестирования: «нужно ли вернуть памятник Пушкину на историчес

👍4👌1👎1👏1

26 Aug 2026, 08:29 UTC868 views7 reactionsread 2 September 2026

Власть ожиданий Как управлять с помощью перспективы изменения «Ваши ожидания – ваши проблемы». Выражение, которое известно не только фанатам российского футбола, разочарованным выступлением нашей сборной. Ставшая мемом фраза наглядно описывает важный феномен - ожидания являются действительностью (!) с которой можно и нужно работать, потому, что они влияют на эмоции аудитории и ее представления о будущем. А значит -

👍4👌21

26 Aug 2026, 08:13 UTC736 views6 reactionsread 2 September 2026

Управление будущим Как нейросети изменят политпланирование Вряд ли уже можно кого-то удивить ИИ-агентом, который может управлять вашим календарем в Google или других сервисах. Назначить встречу, предупредить о мероприятии за определенное время – вполне себе бытовая рутина. Да, бывают нюансы, когда машина галлюцинирует и, например, удаляет все ваши записи. Такие страшилки время от времени оказываются в ленте. Но эт

3👌1👎1👏1

26 Aug 2026, 05:44 UTC855 views7 reactionsread 2 September 2026
Photo

#ценнаяцитата #Эллюль

6👏1

24 Aug 2026, 10:58 UTC≈1,010 views12 reactionsread 2 September 2026

Больше чем программа Как оценить документ, принятый на съезде «Единой России» Принятие предвыборной программы партии власти – важный элемент в конструкции общего стратегического планирования страны. Ее (программу) стоит рассматривать не только в контексте текущего электорального цикла. Функционал этого документа гораздо шире партийных задач, а влияние будет распространяться за пределы кампании-2026. 🟥 Интегральнос

👎63👌2👏1

24 Aug 2026, 06:10 UTC864 views6 reactionsread 2 September 2026
Forwarded from @ancentr

Кибер-айсберг: волна надвигается Анализ развития темы ИИ в повестке партий в контексте выборов в Госдуму Основные выводы и прогнозы 🟥Использование нейросетей в агитации — под вопросом. Кейс «Яблока» спровоцирует пересмотр агитационных стратегий основных игроков. Неопределенность вопроса авторского права вокруг генеративного контента радикально повышает риски его использования в публичной плоскости. Если еще месяц н

👍4👎2

24 Aug 2026, 04:21 UTC≈69,200 views8 reactionsread 2 September 2026
Photo

24 – 30 августа На что обратить внимание 🟥 Проектный подход. Мероприятия Путина. Форум АСИ. Подготовка к новому учебному году, открытие новых объектов. 🟥 Удары и их последствия. Атаки в ходе российско-украинского конфликта на промышленные и инфраструктурные объекты. 🟥 Первые пошли. Начало дебатов представителей партий в радиоэфирах. Активизация агитационной кампании. 🟥 Запросы и обещания. Годовщина независимости

👍4👌21👎1

22 Aug 2026, 04:44 UTC≈1,010 views6 reactionsread 2 September 2026

📌 Некоторые важные публикации недели на «Актуальных комментариях»: 🔷 Бадма Башанкаев — о роли врача в эпоху искусственного интеллекта. ИИ уже берет на себя часть рутинной работы в медицине — от расшифровки речи и оформления протоколов до первичного анализа исследований и выявления возможных рисков. Следующий этап цифровизации связан с более адресной профилактикой: алгоритмы смогут находить группы риска и заранее нап

👍4👎2

Showing the 12 most recent of 54 posts we hold for @Chesnakov. 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 63 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Политбюро 2.0
@politburo2 · 39,791
Telegram ranks this channel #18 of 95 here — alongside 94 others — read 30 August 2026
Глебсмит
@glebsmith77 · 28,144
Telegram ranks this channel #24 of 94 here — alongside 93 others — read 10 September 2026
Политтранзит
@PolitTransit · 85,645
Telegram ranks this channel #39 of 99 here — alongside 98 others — read 18 August 2026
Давыдов.Индекс
@davydovin · 1,889,362
Telegram ranks this channel #43 of 94 here — alongside 93 others — read 8 August 2026
ФоРГО
@FoRGO_official · 48,631
Telegram ranks this channel #65 of 99 here — alongside 98 others — read 26 August 2026
Социо
@socio_news · 23,736
Telegram ranks this channel #76 of 99 here — alongside 98 others — read 17 September 2026
ПолитологОрлов
@politolog_Orlov · 23,946
Telegram ranks this channel #85 of 98 here — alongside 97 others — read 17 September 2026

This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Referenced elsewhere

This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.

Wikipedia

One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.

Чеснаков, Алексей Александрович (ru.wikipedia.org)
“…политической повесткой российской власти. Автор [[Telegram]]-канала [https://t.me/Chesnakov Чеснаков], который вошёл в топ-30 рейтинга каналов политических…”
read 13 September 2026

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Чеснаков” (@Chesnakov), 11,608 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Chesnakov.

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.