Memes & entertainment — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 84% 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
62 measurements spanning 91 days, net +807. 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 68,200–70,338 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
5 Nov 2026, 17:36
69,845
-25
4 Nov 2026, 20:07
69,870
-13
3 Nov 2026, 21:20
69,883
-28
2 Nov 2026, 18:55
69,911
-22
1 Nov 2026, 21:19
69,933
-35
31 Oct 2026, 17:21
69,968
-94
30 Oct 2026, 17:30
70,062
-29
29 Oct 2026, 15:39
70,091
+51
28 Oct 2026, 18:31
70,040
-12
27 Oct 2026, 16:30
70,052
+182
26 Oct 2026, 14:07
69,870
+165
25 Oct 2026, 15:49
69,705
+40
24 Oct 2026, 17:57
69,665
+63
23 Oct 2026, 20:38
69,602
+94
22 Oct 2026, 18:50
69,508
+224
21 Oct 2026, 15:10
69,284
+461
20 Oct 2026, 12:16
68,823
-30
19 Oct 2026, 10:16
68,853
-14
18 Oct 2026, 09:35
68,867
-13
17 Oct 2026, 12:45
68,880
first reading
Engagement
263 posts held, back to 3 August 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 186 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.8%
avg views ÷ 69,845 subscribers
Avg views / post
8,970
91 posts measured
Reaction rate
4.95%
reactions ÷ views · ER floor
Posts in window
92
of 263 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
Window
Rolling 30 days · latest post in window 5 November 2026
Posts held
263 (3 August 2026 – 5 November 2026)
Views total
816,240
Reactions total
40,392
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 10:45 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
Video runtime
14m 23s
Average length
33s
Measured directly from 26 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
137,136 reactions across 262 posts, in 30 distinct kinds. The most used accounts for 22.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
30,271
22.1%
😁
24,703
18.0%
❤
20,690
15.1%
🔥
17,356
12.7%
custom 5370545029540499476
12,580
9.17%
💯
7,140
5.21%
❤🔥
5,064
3.69%
✍
4,205
3.07%
🍾
2,592
1.89%
custom 5208468107844141580
2,289
1.67%
🎉
1,908
1.39%
🤩
1,727
1.26%
😎
1,723
1.26%
💔
1,563
1.14%
😢
1,024
0.747%
🤪
500
0.365%
🫡
370
0.27%
🙏
338
0.246%
🙊
218
0.159%
🕊
193
0.141%
10 further kinds
682
0.497%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 262 of the 263 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 137,136 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 263 most recent posts we hold, published 3 August 2026 to 5 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
13
across the posts below
Posts paid on
11
of 262 we hold a reading for · 4%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @community43. 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 263 most recent posts we hold for this entry, published 3 August 2026 to 5 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.
Advertising
Ad load
0.76%
2 of 263 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
8,460
over 2 measured posts
Median views · rest
8,820
over 260 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VSb5wDMF7G
1
22 September 2026
22 September 2026
2VSb5z4N5V4
1
29 October 2026
29 October 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 263 most recent posts we hold, published 3 August 2026 to 5 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 9 of 92 posts held from the last 30 days (9.78%) 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).
Первый снег в Москве и Подмосковье — отличный повод достать роботов-мойщиков окон, потому что СВОЕВРЕМЕННОСТЬ — наше второе имя!
Разбираемся, почему после них на стекле остаются круговые разводы. Спойлер: вы не виноваты. Виновата инструкция, которая автоматически не закачалась нам в голову.
Что делать, чтобы он мыл, а не замыливал:
1. Запускаем робота по-сухому, чтобы он собрал основную грязь. Это основа основ. Баз…
У нас тут что, организованная преступная группировка?! Кто еще регулярно совершает особо крупные хищения на маркетплейсах?!
Кажется, пришло время вернуться на место преступления! Проверить, не подешевело ли награбленное, и скинуть нам ССЫЛКИ, патамушта в эфире #бусики_и_трусики!
ПОГНАЛИ!
Как я избавилась от кошачьего наполнителя по ВСЕМУ ДОМУ за 500 рублей.
Спойлер: от котов избавляться не пришлось (ну тогда еще от котов, сейчас только кошка).
Не знала, что это проблема настолько многих, поэтому делюсь своим опытом. Тем более что он помог уже не только мне. Ужо больше 7 лет живу без кошачьего наполнителя в трусах.
Кто сталкивался, тот поймет. Наполнитель ВЕЗДЕ. На полу, диване, в кровати. Приходиш…
Пристегиваем ремни, держим кокошники! На нас идёт дайджест октября
- Санокс для санузла, чтоб стоял в каждом доме! Разбираем какой выбрать
-Как стирать пуховик и мембрану, чтобы не пришлось покупать новый
- Защищаем ворот пуховиков от тона
- Зубные пасты для детей, разбор со стоматологом
- Почему порошок прилипает к кювете стиралки и что с этим делать
- Как очищать бижутерию и как предотвращать потемнение
- Бытовые…
Сударыни, что у нас сегодня на ужин?! Правильно! Ворованные мемы! Сочные, горячие, прожаренные. Пока не скинете все, кухня не закроется, а мемотерапия не начнется
Массовая психотерапия картинками началась!
Как хорошо, когда у тебя есть подруга, которая подскажет, какую химию, тряпочки и шваброчки купить после ремонта. Еще и по материалам проконсультирует, чтобы не убить всю эту дорогущую красоту первой же уборкой. Подруга, кстати, Я. Очень удобно иметь меня в друзьях, рекомендую.
А в комментах хвастаемся своими красивошными ремонтами! ХОЧУ ПАСАТРЕТЬ!
Субботнее заседание бабсовета объявляется открытым! На повестке дня — любимые продукты из магазинов, в том числе онлайн
ШО ПОКУПАЕТЕ? ГДЕ? Ради чего готовы тащиться на другой конец города или судорожно пополнять корзину?! Названия, магазины, фотки. СДАЕМ ВСЕ ЯВКИ И ПАРОЛИ!
Все #по_завету_папищиков
Сериалозалипатели, телеголистатели, виновыпиватели, холодильникооткрыватели!
ФОТООТЧЕТ В КОММЕНТЫ! БЫЫЫЫЫЫСТРО!
Шо вы там? Где вы? С кем? У нас перекличка
Я НЕ ДОГОВОРИЛА! Сегодня учимся продлевать жизнь бижутерии. Как возвращать ей приличный вид за две секунды, показывала здесь.
А теперь о том, как сделать, чтобы наше «золотишко» не темнело раньше времени и не приходилось его постоянно пидорить.
Есть один любопытный товарищ — ЦАПОНЛАК.
Вообще, он предназначен для электроники. Но народ приспособил его и для бижутерии. Лак создает тонкую защитную пленку, которая заме…
custom 5370545029540499476167🔥67❤29😎21❤🔥9
Showing the 12 most recent of 263 posts we hold for @community43. 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.
Posts edited after publishing
@community43 edited 2 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
4 September 2026
Most recent edit
19 October 2026
Posts recorded as deleted after publishing
We recorded 3 posts on @community43 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
3 September 2026
Most recent seen missing
3 November 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
2
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 13 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.
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.
Read from Telegram’s recommendation API, most recently 20 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.
Обратная сторона Л. @semikolennyh · 18,754 Telegram ranks this channel #3 of 87 here — alongside 86 others — read 4 October 2026
Мне только кончики @kkkmarya · 23,804 Telegram ranks this channel #5 of 87 here — alongside 86 others — read 16 September 2026
Максимально наша @maximalno_nasha · 25,489 Telegram ranks this channel #6 of 87 here — alongside 86 others — read 14 September 2026
Vselennaya @vselen_naya1 · 116,710 Telegram ranks this channel #7 of 87 here — alongside 86 others — read 24 August 2026
Душнотека Грека @zolotoygrek_life · 41,336 Telegram ranks this channel #9 of 87 here — alongside 86 others — read 29 August 2026
Готовь, как Глыва @ya_glyva · 20,541 Telegram ranks this channel #11 of 81 here — alongside 80 others — read 26 September 2026
Мамыкина явилась @onwritingwell · 23,416 Telegram ranks this channel #11 of 88 here — alongside 87 others — read 18 September 2026
Blue Unicorn @blueunicorn_ru · 33,014 Telegram ranks this channel #12 of 60 here — alongside 59 others — read 4 September 2026
СЕРГЕЙ НАУМОВ @naumita · 58,819 Telegram ranks this channel #12 of 88 here — alongside 87 others — read 22 August 2026
Лобстеры на завтрак @lobsternazavtrak · 28,468 Telegram ranks this channel #13 of 90 here — alongside 89 others — read 20 September 2026
Взгляд химика на крем @Lenaprokosmetiku · 52,201 Telegram ranks this channel #14 of 84 here — alongside 83 others — read 24 August 2026
Встала и пошла! @vstalaipohla · 32,757 Telegram ranks this channel #18 of 83 here — alongside 82 others — read 4 September 2026
С прямой спиной @harnomy · 20,259 Telegram ranks this channel #19 of 89 here — alongside 88 others — read 29 September 2026
Наталья pro_knigi_kino @pro_knigi_kino · 36,246 Telegram ranks this channel #21 of 79 here — alongside 78 others — read 1 September 2026
Лёгкий быт с Аидой Prodom @aidaprodom · 317,453 Telegram ranks this channel #22 of 77 here — alongside 76 others — read 10 August 2026
Патч на все лицо @po_krassote · 28,725 Telegram ranks this channel #23 of 85 here — alongside 84 others — read 30 September 2026
Breaking Bread @dushnilabezmichelina · 39,189 Telegram ranks this channel #23 of 91 here — alongside 90 others — read 30 August 2026
Княжна из хрущевки @lenagovori · 18,838 Telegram ranks this channel #24 of 88 here — alongside 87 others — read 4 October 2026
Искусство есть @artfoodjoy · 25,019 Telegram ranks this channel #25 of 94 here — alongside 93 others — read 14 September 2026
Бьюти Блажь @womensabode · 18,421 Telegram ranks this channel #27 of 88 here — alongside 87 others — read 5 October 2026
БЕЗУДЕРЖНОЕ ВЕСЕЛЬЕ @bezuderjnoe_veselie · 33,372 Telegram ranks this channel #27 of 70 here — alongside 69 others — read 3 September 2026
хоум терапия @homepsyh · 20,608 Telegram ranks this channel #28 of 83 here — alongside 82 others — read 26 September 2026
Женщина и прочие неприятности @conflict_in · 49,704 Telegram ranks this channel #29 of 86 here — alongside 85 others — read 25 August 2026
Лентаметод: хранение и мебель @Lt_recommend · 19,471 Telegram ranks this channel #31 of 79 here — alongside 78 others — read 1 October 2026
This channel appears in 85 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Бабское коммьюнити” (@community43), 69,845 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/community43.
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.