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Telegram profile photo for Антон Чехов. Лайфстайл

Channel

Антон Чехов. Лайфстайл

@chekhov_life

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

74,081subscribers

-612 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-1001338355106
TypeChannel
Username@chekhov_life
Created16 November 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live8 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/chekhov_life

Topic

Literature — a classification, not a measurement. 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

74,08174,69874,389.56 August 20268 November 2026
62 measurements spanning 94 days, net -612. 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 73,988–74,791 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
8 Nov 2026, 01:3974,081-4
6 Nov 2026, 21:2674,085-9
5 Nov 2026, 19:4674,094+9
4 Nov 2026, 17:5674,085-14
3 Nov 2026, 19:3774,099-21
2 Nov 2026, 16:5774,120-8
31 Oct 2026, 14:1074,128-4
30 Oct 2026, 14:3974,132-7
29 Oct 2026, 16:4974,139+2
28 Oct 2026, 19:5074,137-16
27 Oct 2026, 22:2974,153-15
27 Oct 2026, 00:0974,168-18
26 Oct 2026, 00:2974,186-8
25 Oct 2026, 00:1474,194+2
24 Oct 2026, 02:5574,192-15
23 Oct 2026, 00:0674,207-30
21 Oct 2026, 19:1674,237-6
20 Oct 2026, 17:0574,243+26
19 Oct 2026, 18:1774,217-21
18 Oct 2026, 18:1874,238first reading

Engagement

117 posts held, back to 17 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 189 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
23.6%
avg views ÷ 74,081 subscribers
Avg views / post
17,400
31 posts measured
Reaction rate
2.60%
reactions ÷ views · ER floor
Posts in window
31
of 117 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 7 November 2026
Posts held117 (17 July 2026 – 7 November 2026)
Views total540,910
Reactions total14,078
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 21:22 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

51,593 reactions across 116 posts, in 8 distinct kinds. The most used accounts for 41.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤21,42941.5%
😁13,91727.0%
😭8,49716.5%
🔥3,3226.44%
👏1,4012.72%
💯1,3832.68%
🍾9081.76%
🤪7361.43%

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 117 of the 117 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 52,159 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 117 most recent posts we hold, published 17 July 2026 to 7 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
131
across the posts below
Posts paid on
57
of 117 we hold a reading for · 49%
Most on one post
53
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @chekhov_life. 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 117 most recent posts we hold for this entry, published 17 July 2026 to 7 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: 0 of 31 posts 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).

7 Nov 2026, 13:16 UTC≈3,510 views173 reactionsread 7 November 2026

Современный театр – это сыпь, дурная болезнь городов. Надо гнать эту болезнь метлой, но любить ее – это нездорово. 1888 год, 7 ноября 28 лет

❤95😁44💯22🤪8😭4

6 Nov 2026, 13:16 UTC≈6,250 views282 reactionsread 7 November 2026

У меня чувство, как будто я женат уже 20 лет. 1901 год, 6 ноября 41 год

😁206❤42😭25🔥8💯1

5 Nov 2026, 13:16 UTC≈8,850 views387 reactions1 Starread 7 November 2026

Приеду в Москву и тотчас же в баню, а потом ужинать, а потом спать. 1903 год, 5 ноября 43 года

🔥231❤115💯28🍾13

4 Nov 2026, 13:16 UTC≈20,700 views434 reactions1 Starread 7 November 2026

В Москве нет ни одного искреннего человека, который умел бы говорить правду. 1887 год, 4 ноября 27 лет

❤243😭111💯71🤪7🔥2

3 Nov 2026, 16:28 UTC≈11,700 views445 reactionsread 7 November 2026

На душе скверно, в кармане ни гроша, долгов гибель… 1888 год, 3 ноября 28 лет

💯187😭155❤64👏34🔥5

2 Nov 2026, 13:16 UTC≈11,500 views314 reactionsread 7 November 2026

Средний успех и для писателя и для артиста – самый удобный успех. После большого успеха всегда наступала реакция, выражавшаяся в повышенных требованиях и затем в некотором разочаровании и охлаждении – реакция, физиологически объяснимая. 1899 год, 2 ноября 39 лет

❤197💯85🔥18🤪8😁6

1 Nov 2026, 13:16 UTC≈12,200 views268 reactionsread 7 November 2026

Нашей публике нужны не пьесы, а зрелища. 1901 год, 1 ноября 41 год

❤156💯85😭20👏7

31 Oct 2026, 13:16 UTC≈14,300 views481 reactions1 Starread 7 November 2026

Есть ли какая тварь хитрее бабьего роду? Ведьма

😁305❤69😭51💯34🤪22

30 Oct 2026, 13:16 UTC≈15,800 views698 reactions2 Starsread 7 November 2026

Что за мучение обрезать ногти на правой руке. 1903 год, 30 октября 43 года

😁449💯120😭76❤50🍾3

29 Oct 2026, 13:16 UTC≈16,700 views551 reactions2 Starsread 7 November 2026

О, какое счастье, что я еще не женат! Какое это удобство! 1897 год, 29 октября 37 лет

😁378💯80❤62🍾19😭12

28 Oct 2026, 13:16 UTC≈21,000 views495 reactions1 Starread 7 November 2026

В настоящее время денег у меня ни гроша. С замиранием сердца жду 1-го числа, когда получу из Питера. Получу рублей 60 и тотчас же их ухну. 1883 год, октябрь 23 года

😁299❤124😭47🔥25

28 Oct 2026, 11:14 UTC≈13,600 views30 reactions1 Starread 7 November 2026
Photo

Друзья, я всегда любила искать в классиках что-то живое, за пределами школьной программы. Вместе с издательством Эксмо мы создали колоду карт и блокнот, наполненные писательским сарказмом и иронией. Великие писатели в письмах и дневниках совсем не похожи на монументальные фигуры из учебников. Они остроумны, циничны, иногда уставшие от жизни – такие же люди, как мы. Открывая блокнот или вытаскивая карту, вы встретите…

❤17🔥6😭4🤪3

Showing the 12 most recent of 117 posts we hold for @chekhov_life. 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 recorded as deleted after publishing

We recorded 1 post on @chekhov_life as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
24 October 2026
Most recent seen missing
24 October 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
1

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republished by 70 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

beginiani
@beginiani · 16,285
2 posts
CRY1968
@crynineteensixtyeight · 310
2 posts
Навуходоносор
@navuhod18 · 8
2 posts
Любовь и покорность
@pokornosttt · 38,497
2 posts
uignatieva
@uignatieva · 10
2 posts
Aleksandra_visa
@vizolet · 72
2 posts
eto.web
@EtoWeb · 10
1 post
My Batumi...my Georgia ❤️🇬🇪
@GeorgiaWithMe · 8
1 post
Наталья Шнейдер. Романтическое фэнтези.
@Natalia_Schneider · 1,635
1 post
ПРОгараж
@ProGaraz · 11
1 post
strykov no filter
@SDM7OCATION · 168
1 post
Skaista_meitene
@Skaista · 155
1 post
Money Honey Stocks | Антон Абдрахманов
@antonabdr · 393
1 post
arseniy_jesus
@arseniy_jesus17 · 33
1 post
Пораженные творчеством💥
@creative_sys · 168
1 post
Заметки терапевта и педагога
@doctorandteacher · 16
1 post
Эйман
@ejmantg · 360
1 post
дом на колесах
@ekaterina_hotnews · 184
1 post
I lost my train of thought
@ilostmytrainofthought · 650
1 post
ИММУННЫЙ ОТВЕТ
@imotvet · 60,461
1 post
ЧестноковЪ
@ingerman_lit · 10
1 post
bedlam
@itsmorana · 96
1 post
Июньский вечер
@junevening · 1
1 post
маркетинг пчеловодства
@kinderatlasa · 843
1 post
Ход Конева
@knightsmove · 41,135
1 post
поверхность бытия
@koshkinchannel · 17
1 post
интеллигентное мышление 💭
@kuznetsova_etiquette · 285
1 post
С текстами
@litgroup_budapest · 77
1 post
mary'
@marysab1 · 121
1 post
Маша Фомичева
@masha_fomicheva · 57,558
1 post
Максимально наша
@maximalno_nasha · 25,479
1 post
𝑐𝑟𝑜𝑠𝑠𝑟𝑜𝑎𝑑𝑠 𝑜𝑓 𝑑𝑒𝑠𝑡𝑖𝑛𝑖𝑒𝑠 ✉️
@memoreef · 58
1 post
Качели
@na_kacheli · 21
1 post
Надежда Сироткина🥨С книжкой
@nadezhdareading · 35
1 post
АрхиТипичноЯ, Ксения🌊
@nevynosimolegko · 228
1 post
Палата Генеалогии
@palata_genealogii · 171
1 post
по-соседски
@po_sosedsky · 25
1 post
🌺Поэзия ароматов🌺
@poezia_aromatov · 1,379
1 post
Polinamax
@polinamax_actress · 6,237
1 post
врач маминой подруги
@raynbuldez · 22,957
1 post
бастион
@razumachertogi · 613
1 post
Агент Дрягин
@real_estate_agent · 308
1 post
Резанов через Е
@reeezanov · 75
1 post
Охранитель
@rusmonstr · 14,026
1 post
Олег Подгорный
@ruspiligrimus · 47
1 post
russiansinlondon
@russiansinlnd · 21,245
1 post
Тернистый путь
@russkiidosug · 2,665
1 post
Макс атакует!
@shevchenkomax_1 · 116,703
1 post

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 5 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.

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.

Лев Толстой. Лайфстайл
@tolstoy_life · 59,403
#1
Фёдор Достоевский. Лайфстайл
@dostoevskiy_life · 38,012
#2
Михаил Булгаков. Лайфстайл
@bulgakov_life · 19,883
#3
Александр Пушкин. Лайфстайл
@pushkins_life · 25,975
#4
Иван Тургенев. Лайфстайл
@turgenev_life · 9,356
#5
Александр Блок. Лайфстайл
@blok_life · 6,818
#6
Николай Гоголь. Лайфстайл
@gogol_life · 12,451
#7
Медуза — LIVE
@meduzalive · 1,117,465
#8
Зигмунд Фрейд. Лайфстайл
@freudlife · 9,459
#9
Карл Юнг. Лайфстайл
@Jung_life · 9,429
#10
диалектический отказ
@istominakarina · 156,616
#11
КОНТЕКСТ
@kontext_channel · 865,494
#12
Артемий Лебедев
@temalebedev · 968,890
#13
не тереби дао
@dukaliti · 121,704
#14
Новости Москвы
@moscowmap · 2,625,033
#15
Сергей Минаев
@minaevlife · 317,817
#16
ЭТО ЗНАК
@etoznakmag · 631,540
#17
THE ARK
@ark_gallery · 4,564
#18
Екатерина Шульман
@eschulmann · 299,838
#19
Ретроградный Меркурий
@retrogrademercury · 161,361
#20
Беспощадный пиарщик
@prbezposhady · 151,307
#21
Ирена Понарошку
@irena_ponaroshku · 279,419
#22
Жизнь в дневниках
@tsitaty_dnevniki_stikhi · 164,596
#23
Старая Москва
@old_Moscow · 133,711
#24
llllllll1111llllllllll
@llllllll1111llllllllll · 36,879
#25
Фаина Раневская
@Ranevskaya_tsitaty_teatr · 30,280
#26
SVTV NEWS — Либертарианское СМИ
@svtvnews · 112,450
#27
Минута в минуту
@minutavminutu · 167,195
#28
Бахчисарайские гвоздики
@darkmgimo · 107,636
#29
Героиня Татлера
@tatlersheroine · 102,602
#30
историк-алкоголик
@istrkalkglk · 123,388
#31
Теперь живите с этим
@viveconesto · 53,346
#32
москоутиндер
@moscowtinderr · 746,083
#33
Классики. Лайфстайл
@klassiki_life · 11,149
#34
Долецкая-Doletskaya
@alionadol · 75,455
#35
russian nostalghia
@russian_nostalghia · 10,785
#36
Сталингулаг
@stalin_gulag · 297,933
#37
Эрих Мария Ремарк
@remark_tsitaty_aforizmy · 20,778
#38
ЮЛИЯ МЕНЬШОВА
@JuliaMenshovaJulia · 355,461
#39
Вероника Степанова
@veronikastepanova20011 · 485,626
#40
Бунин
@Dark_Avenues · 3,690
#41
Осторожно, Москва
@ostorozhno_moskva · 396,512
#42
Дневник Цветаевой
@diaryoftsvetaeva · 6,464
#43
Раньше всех. Ну почти.
@bbbreaking · 1,975,837
#44
Mash
@mash · 3,142,084
#45
Кровавая барыня
@bloodysx · 1,173,265
#46
Антиглянец
@sncmag · 299,850
#47
Осторожно, новости
@ostorozhno_novosti · 1,620,397
#48
Стрелец-Молодец
@strelets_molodec · 349,197
#49
Baza
@bazabazon · 1,557,606
#50
Varlamov News
@varlamov_news · 1,059,306
#51
Дудь
@yurydud · 850,516
#52
Лука Ебков
@luka_ebkov · 429,401
#53
ЕЖ
@ejdailyru · 664,706
#54
Я не понимаю это смешно или уже нет!!
@sashaonline · 86,179
#55
БП онлайн
@bponline · 111,499
#56
Golden Chihuahua
@goldchihuahua · 91,254
#57
Жизнь насекомых
@insect_life · 192,670
#58
Пездуза
@pezduzalive · 369,107
#59
Кинопоиск | Фильмы и сериалы
@kinopoisk · 794,793
#60
твиттота
@twitt_ota · 422,674
#61
Только никому...
@spletni_tg · 187,079
#62
РБК. Новости. Главное
@rbc_news · 914,343
#63
Страдающее Средневековье
@pophistory · 140,230
#64
КАШИН
@kashinguru · 75,113
#65
кабачковая икра по акции
@sale_caviar · 192,628
#66
Банкста
@banksta · 439,713
#67
ÖMANKÖ
@omanko · 112,972
#68
СОБЧАК
@ksbchk · 381,498
#69
Саша Конь
@sashakon · 132,905
#70
Архитектурные излишества
@arkhlikbez · 123,489
#71
Антонов такой Антонов
@auantonov · 321,779
#72
MUR
@fashion_mur · 205,344
#73
НЕБОЖЕНА
@imnotbozhena · 503,413
#74
Андрей Тарковский
@Tarkovsky_tsitaty_kino · 13,903
#75
лидер мнений среди удобрений
@lider · 175,755
#76
Правила жизни
@pravilamagru · 63,680
#77
«Карьера» The Blueprint
@theblueprintcareer · 143,861
#78
aavst2022
@aavst2022 · 175,247
#79
Дмитрий Медведев
@medvedev_telegram · 1,689,376
#80
Продюсер Kartoz
@kartozz · 124,119
#81
Зинаида Пронченко
@ZinaidaPronchenko · 74,417
#82
Парнасский пересмешник
@captainpaleo · 51,765
#83
между приговым и курехиным
@betweenprigov · 21,137
#84
Рената Литвинова
@renatalitvinova · 86,341
#85
Sasha Burimova
@burimovasasha · 80,438
#86
ТАСС
@tass_agency · 569,194
#87
Vrednayamoda / Вредная Мода
@vrednayamoda · 206,265
#88
BBC News | Русская служба
@bbcrussian · 388,888
#89
The Blueprint News
@theblueprintnews · 72,379
#90
The Blueprint
@theblueprintru · 96,517
#91
Бабская курилка
@kureelka · 124,215
#92

Read from Telegram’s recommendation API, most recently 19 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.

Михаил Булгаков. Лайфстайл
@bulgakov_life · 19,883
Telegram ranks this channel #1 of 94 here — alongside 93 others — read 29 September 2026
Александр Пушкин. Лайфстайл
@pushkins_life · 25,975
Telegram ranks this channel #1 of 93 here — alongside 92 others — read 13 September 2026
Фёдор Достоевский. Лайфстайл
@dostoevskiy_life · 38,012
Telegram ranks this channel #1 of 79 here — alongside 78 others — read 31 August 2026
Лев Толстой. Лайфстайл
@tolstoy_life · 59,403
Telegram ranks this channel #1 of 91 here — alongside 90 others — read 22 August 2026
Фаина Раневская
@Ranevskaya_tsitaty_teatr · 30,280
Telegram ranks this channel #2 of 81 here — alongside 80 others — read 7 September 2026
Жизнь в дневниках
@tsitaty_dnevniki_stikhi · 164,596
Telegram ranks this channel #15 of 86 here — alongside 85 others — read 12 August 2026
Эрих Мария Ремарк
@remark_tsitaty_aforizmy · 20,778
Telegram ranks this channel #19 of 77 here — alongside 76 others — read 25 September 2026
Евгений Жаринов - Лекции и анонсы
@Evgeny_Zharinov · 29,768
Telegram ranks this channel #22 of 86 here — alongside 85 others — read 8 September 2026
Читал, но забыл | Литература
@literary_tg · 18,648
Telegram ranks this channel #26 of 85 here — alongside 84 others — read 5 October 2026
Открытые письма | Литература
@open_letters · 40,650
Telegram ranks this channel #33 of 75 here — alongside 74 others — read 29 August 2026
Пейзаж на холсте | Галерея
@kartiny_tg · 67,352
Telegram ranks this channel #40 of 83 here — alongside 82 others — read 20 August 2026
М. Жванецкий
@jvanetskyy · 25,824
Telegram ranks this channel #41 of 87 here — alongside 86 others — read 13 September 2026
Светское советское!
@svetskoe · 37,679
Telegram ranks this channel #44 of 93 here — alongside 92 others — read 1 September 2026
Карл Густав Юнг
@Jung_tsitaty_psyhoIogia · 63,254
Telegram ranks this channel #46 of 83 here — alongside 82 others — read 21 August 2026
Три билборда
@xxxbillboards · 18,950
Telegram ranks this channel #48 of 99 here — alongside 98 others — read 5 October 2026
История одной картины
@pic_history · 50,032
Telegram ranks this channel #73 of 96 here — alongside 95 others — read 25 August 2026
PunkMonk
@punkmonkprod · 20,878
Telegram ranks this channel #96 of 96 here — alongside 95 others — read 25 September 2026

This channel appears in 17 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“Антон Чехов. Лайфстайл” (@chekhov_life), 74,081 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/chekhov_life.

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.