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Channel

Дмитрий Львович Быков

@dmibykov

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cross-platform identity · Cite this entry

40,109subscribers

-619 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001600203427
TypeChannel
Username@dmibykov
Descriptionпоэт, писатель, журналист, преподаватель литературы patreon.com/dmibykov
Created25 February 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live6 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/dmibykov

Topic

Music — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 82% 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

40,10940,72840,418.56 August 20266 November 2026
61 measurements spanning 92 days, net -619. 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 40,016–40,821 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
6 Nov 2026, 21:0540,109-21
5 Nov 2026, 22:3140,130-3
5 Nov 2026, 00:4440,133-5
4 Nov 2026, 04:1040,138-6
3 Nov 2026, 03:5840,144-10
2 Nov 2026, 00:4040,154-4
1 Nov 2026, 01:4840,158-16
31 Oct 2026, 03:5040,174+16
30 Oct 2026, 01:4140,158+5
29 Oct 2026, 02:1040,153-14
28 Oct 2026, 00:1640,167-17
27 Oct 2026, 03:0440,184-8
26 Oct 2026, 05:1740,192-1
25 Oct 2026, 01:5540,193-6
24 Oct 2026, 03:1540,199-4
22 Oct 2026, 23:5640,203-16
21 Oct 2026, 23:2540,219+9
20 Oct 2026, 15:4540,210-17
19 Oct 2026, 13:4640,227-9
18 Oct 2026, 13:0040,236first reading

Engagement

161 posts held, back to 23 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 176 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
26.2%
avg views ÷ 40,109 subscribers
Avg views / post
10,500
51 posts measured
Reaction rate
2.24%
reactions ÷ views · ER floor
Posts in window
51
of 161 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 6 November 2026
Posts held161 (23 July 2026 – 6 November 2026)
Views total536,640
Reactions total11,997
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 21:56 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
313
Videos
18
Links
915

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.

Video runtime
2m 41s
Average length
1m 21s

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

42,613 reactions across 160 posts, in 8 distinct kinds. The most used accounts for 50.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤21,63450.8%
👍9,00921.1%
🔥5,89813.8%
👏2,3395.49%
😢1,4923.50%
😁1,4913.50%
🤔5931.39%
😱1570.368%

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 160 of the 161 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 42,613 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 161 most recent posts we hold, published 23 July 2026 to 6 November 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.

Telegram Stars

Stars received
309
across the posts below
Posts paid on
50
of 160 we hold a reading for · 31%
Most on one post
100
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dmibykov. 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 161 most recent posts we hold for this entry, published 23 July 2026 to 6 November 2026. 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.

Recent posts

Telegram’s own ‘edited’ marker: 10 of 51 posts held from the last 30 days (19.6%) 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).

6 Nov 2026, 20:26 UTC≈1,250 views11 reactionsread 6 November 2026

https://eventticketusa.com/events/dmitriy-bykov-no-novaya-kniga-stikhov-po-itogam-2026-goda

👍11

6 Nov 2026, 18:41 UTC≈2,610 views87 reactionsread 6 November 2026
Video

Начитываю аудиокнигу любимых стихов (своих, чужие — большая отдельная аудиокнига). Вот это, кажется, 2011.

❤70👍12🔥4🤔1

6 Nov 2026, 15:57 UTC≈3,820 views233 reactions1 Starread 6 November 2026

+++ Страна, как учит нас де Местр, Не может быть иною. Опять пополнили реестр Акуниным и мною. Опять Москву и Петербург Бессильной злобой пучит -- Недаром учит нас де Бург, Что нас ничто не учит. Отчизна пнула нас под зад, Буквально в самый копчик... Но можно, учит нас де Сад, И от такого кончить.

😁129🔥57👏25❤18👍4

6 Nov 2026, 02:26 UTC≈7,060 views334 reactionsread 6 November 2026
Photo

Ужин иноагентов

🔥171👍85❤64😁7😱3👏2😢2

5 Nov 2026, 18:14 UTC≈7,500 views149 reactionsread 6 November 2026
Photo

Господа рочестерцы, последнее напоминание. Татьяна Вольтская Tatiana Voltskaya читает стихи и их англоязычные переводы в Centre of Humanities, D, в нашем университете в 5 pm. Ей не так-то легко было выкроить день в своей американской поездке — чтобы прочесть лекцию на моем курсе, выступить на семинаре John Givens по «Братьям Карамазовым» и провести творческий вечер для славистов и для русских читателей. Я не просто в…

🔥71👍41❤30😁5🤔1😱1

3 Nov 2026, 18:04 UTC≈7,960 views96 reactionsread 6 November 2026

https://republicmag.io/posts/118289

❤78🤔11👏5😱2

3 Nov 2026, 10:18 UTC≈8,330 views97 reactionsread 6 November 2026

Вопросы на Один принимаются здесь, а разговор будет о прозе и песнях Людмилы Петрушевской

❤76👏15👍6

3 Nov 2026, 00:05 UTC≈9,760 views274 reactions10 Starsread 6 November 2026

…Я это знаю, но не потому, Что равнодушен к прошлому и к дому. Бессмертье открывается уму, А не душе и не чему другому, И не при целовании мощей, А только при глубокой рефлексии, Когда меня от правильных вещей Не отвлекают мысли о России.

❤162👏57👍31🤔9🔥5😁5😱5

2 Nov 2026, 17:08 UTC≈10,100 views370 reactions1 Starread 6 November 2026
Photo

Была несвоевременная книга, а стала своевременная. Спасибо, господа. Читайте

❤259👍84🔥20🤔4👏1😁1😢1

2 Nov 2026, 00:10 UTC≈10,000 views183 reactionsread 6 November 2026

Дорогие друзья, на будущей неделе закончится семинар по «Медленному чтению «Анны Карениной». Собрался костяк неплохого семинара, расходиться неохота, поступило предложение читать что-нибудь еще. Предлагаются семь вариантов выбора, на чем остановитесь — то и разберем. Бендериана: дилогия Ильфа и Петрова Трилогия Стругацких («Обитаемый остров» — «Жук в муравейнике» — «Волны гасят ветер») Романы Тургенева: самый непроч…

❤130👍48🤔4😁1

1 Nov 2026, 17:04 UTC≈9,690 views408 reactions1 Starread 6 November 2026

Из Classic news Как жалко, что я не Меланья, Что я не Мелания Трамп! Порою довольно желанья Изысканной женщины-вамп, Чтоб люди задвигались в спешке И транспорт спасенья пришел В измученный город Олешки И двадцать разрушенных сел. Россия вошла, отступила, Подковою встала за ним, А после его затопила, И выйти нельзя из-за мин. Четыре последних недели Кормила их только трава, Нормального хлеба не ели По крайности мес…

❤257👍87😢46🤔8🔥7😁3

1 Nov 2026, 02:04 UTC≈10,100 views386 reactionsread 6 November 2026

31 октября 2026 года. 90 лет Нонне Слепаковой -- любимому поэту, литературному учителю, самому близкому и важному для меня человеку после семьи -- она меня называла литературным сыном и, думаю, не ошибалась. Я пришел к ней 27 декабря 1988 года, служа в армии в Питере, и прожил десять лет в ученичестве у нее и Льва Мочалова. Как сказано в славном фильме "Балтиморская пуля", "Они научили меня всему, что умею я, но не в…

❤288👍70🔥18👏10

Showing the 12 most recent of 161 posts we hold for @dmibykov. 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.

Posts edited after publishing

@dmibykov edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
26 September 2026
Most recent edit
31 October 2026

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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Тамара Эйдельман
@eidelman · 78,844
#1
Екатерина Шульман
@eschulmann · 299,917
#2
Белковский
@SBelkovskiy · 67,045
#3
Медуза — LIVE
@meduzalive · 1,117,673
#4
Илья Яшин
@yashin_russia · 133,715
#5
Аббас Галлямов
@abbasgallyamovpolitics · 85,111
#6
Дудь
@yurydud · 850,752
#7
Город Глуповъ
@gorodglupov · 153,581
#8
Antony Nut
@orex62 · 50,517
#9
Ateo Breaking
@ateobreaking · 741,824
#10
Зинаида Пронченко
@ZinaidaPronchenko · 74,412
#11
Сталингулаг
@stalin_gulag · 297,992
#12
Новая газета
@novaya_pishet · 210,961
#13
Eto Boris Akunin
@EtoBorisAkunin · 50,451
#14
KUCHER
@StanislavKucher · 30,815
#15
Пездуза
@pezduzalive · 369,175
#16
Рыба Лоцман
@ryba_lotsman · 52,211
#17
ЭХО FM
@echofm_online · 39,352
#18
Новая газета Европа
@novaya_europe · 117,090
#19
Раньше всех. Ну почти.
@bbbreaking · 1,975,816
#20
Baza
@bazabazon · 1,557,779
#21
Arestovich / Official
@O_Arestovich_official · 236,779
#22
Кровавая барыня
@bloodysx · 1,173,373
#23
Vsya takaya Mongayt
@vsyatakayamongayt · 32,921
#24
Пархомбюро
@sparkhomenkovoice · 28,343
#25
КАШИН
@kashinguru · 75,113
#26
Михаил Ходорковский
@khodorkovski · 150,690
#27
На Zzzzzападном фронте без перемен
@ve4niyvoy · 112,497
#28
Страдающее Средневековье
@pophistory · 140,198
#29
Медиазона
@mediazzzona · 164,648
#30
Ватное болото
@vatnoeboloto · 378,516
#31
The Moscow Times | Independent news from Russia since 1992
@moscowtimes_ru · 126,713
#32
ЕЖ
@ejdailyru · 665,083
#33
Andrey Malgin
@AndreyMalginItalia · 18,641
#34
(Не)занимательная антропология
@anthro_fun · 74,919
#35
Романова
@oooromanova · 19,818
#36
Колезев ☮️
@kolezev · 59,215
#37
Соловьиный Помёт
@slvn_pomet · 282,109
#38
latynina.tv
@Ylatynina · 27,455
#39
Можем объяснить
@mozhemobyasnit · 461,557
#40
ЧТД
@chtddd · 456,601
#41
ШЕПЕЛИН
@ilyashepelin · 45,031
#42
Генерал СВР
@generalsvr · 276,830
#43
Дабл Ять
@otsuka_bld · 158,954
#44
АДАГАМОВ
@adagamov_online · 27,162
#45
Дмитрий Гордон
@dmytrogordon_official · 288,658
#46
Максим Кац
@maximkatz · 167,585
#47
Скажи Гордеевой
@skazhigordeevoy · 111,361
#48
Вестник Мракобеса
@nikabelonika · 65,772
#49
baunovhaus
@baunovhaus · 35,668
#50
Важные истории
@istories_media · 125,630
#51
Минута в минуту
@minutavminutu · 167,194
#52
Беляков
@bellochkin · 29,252
#53
Подосокорский
@podosokorsky · 29,666
#54
Таня Ф.
@tanya_f · 20,964
#55
SOTA
@sotaproject · 103,486
#56
Boris Pastukhov
@b_pastukhov · 24,660
#57
Агентство. Новости
@agentstvonews · 103,847
#58
Максим Курников
@kournikov · 18,095
#59
Усы Пескова
@Sandymustache · 210,881
#60
Д-р Соловей
@VDSolovey · 81,483
#61
Альфред Кох
@AlfredKochBayern · 41,822
#62
Котрикадзе иностранных дел
@k_kotrikadze · 21,584
#63
Антиглянец
@sncmag · 299,955
#64
Тихон Дзядко
@tdzyadko · 19,641
#65
aavst2022
@aavst2022 · 175,279
#66
НЕВЗОРОВ
@nevzorovtv · 1,002,207
#67
PLUSHEV/ПЛЮЩЕВ
@PlushevChannel · 97,996
#68
КОНТЕКСТ
@kontext_channel · 865,612
#69
BBC News | Русская служба
@bbcrussian · 388,830
#70
ЭХО / Новости
@echoonline_news · 73,492
#71
И Грянул Грэм
@gremtelegram · 115,280
#72
Дождь | Новости
@tvrain · 467,930
#73
Накипело. Майкл Наки
@Nackepelo · 215,109
#74
Varlamov News
@varlamov_news · 1,059,560
#75
Осторожно, новости
@ostorozhno_novosti · 1,620,717
#76
Александр Роднянский
@alexander_rodnyansky · 42,739
#77
Война с Ордой. Сергей Ауслендер
@voinasordoy · 200,293
#78
The Insider
@theinsider · 152,817
#79
Антон Долин
@anton_dolin · 51,206
#80
NEXTA Live
@nexta_live · 767,026
#81
ASTRA
@astrapress · 350,066
#82
Радио Свобода / Radio Svoboda (ru)
@radiosvoboda · 101,780
#83
Восточный Синдром
@vostochnysyndrome · 83,035
#84
Leonid Nevzlin
@leonidnevzlin · 41,777
#85
Дежурный по Израилю
@israeltoday · 139,522
#86
BILD на русском
@BILD_Russian · 68,178
#87
Алексей Пивоваров
@Alexey_Pivo_varov · 304,603
#88
Живой Гвоздь
@livegvozd · 66,968
#89
Лентач
@lentachold · 391,746
#90
DW Главное
@dwglavnoe · 83,967
#91
БОЖЕНА
@bozhenabozhenabozhena · 67,390
#92
Команда Навального
@teamnavalny · 124,739
#93
РБК. Новости. Главное
@rbc_news · 914,536
#94
Сирена
@news_sirena · 123,228
#95
Parfenon
@leonidparfenov_official · 77,584
#96

Read from Telegram’s recommendation API, most recently 30 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Тамара Эйдельман
@eidelman · 78,844
Telegram ranks this channel #11 of 98 here — alongside 97 others — read 19 August 2026
Eto Boris Akunin
@EtoBorisAkunin · 50,451
Telegram ranks this channel #23 of 98 here — alongside 97 others — read 25 August 2026
Евгений Жаринов - Лекции и анонсы
@Evgeny_Zharinov · 29,758
Telegram ranks this channel #25 of 86 here — alongside 85 others — read 8 September 2026
Антон Долин
@anton_dolin · 51,206
Telegram ranks this channel #35 of 99 here — alongside 98 others — read 24 August 2026
KUCHER
@StanislavKucher · 30,815
Telegram ranks this channel #43 of 93 here — alongside 92 others — read 6 September 2026
latynina.tv
@Ylatynina · 27,455
Telegram ranks this channel #53 of 95 here — alongside 94 others — read 10 September 2026
Александр Васильев | Официальный канал
@alexandre_vassiliev1 · 23,624
Telegram ranks this channel #59 of 80 here — alongside 79 others — read 1 October 2026
Boris Pastukhov
@b_pastukhov · 24,660
Telegram ranks this channel #69 of 95 here — alongside 94 others — read 15 September 2026
Набутовы
@nabutov3 · 43,680
Telegram ranks this channel #72 of 96 here — alongside 95 others — read 28 August 2026
Белковский
@SBelkovskiy · 67,045
Telegram ranks this channel #82 of 97 here — alongside 96 others — read 14 August 2026
Пархомбюро
@sparkhomenkovoice · 28,343
Telegram ranks this channel #86 of 94 here — alongside 93 others — read 9 September 2026
Живой Гвоздь
@livegvozd · 66,968
Telegram ranks this channel #95 of 97 here — alongside 96 others — read 23 August 2026

This channel appears in 12 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q2210595 on Wikidata, read 1 November 2026
LabelDmitry Bykov
DescriptionRussian writer and journalist
YouTubeUCbnWFn3G7OkPEMzsHvXa9GA

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

“Дмитрий Львович Быков” (@dmibykov), 40,109 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/dmibykov.

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.