Memes & entertainment — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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
33 measurements spanning 43 days, net -351. 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 23,452–23,909 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
19 Sept 2026, 07:17
23,505
-23
16 Sept 2026, 23:17
23,528
-4
15 Sept 2026, 02:38
23,532
-2
13 Sept 2026, 12:16
23,534
-16
11 Sept 2026, 13:39
23,550
-18
8 Sept 2026, 19:01
23,568
-47
5 Sept 2026, 11:14
23,615
-23
2 Sept 2026, 09:22
23,638
-8
1 Sept 2026, 07:59
23,646
+3
31 Aug 2026, 11:26
23,643
-6
30 Aug 2026, 14:57
23,649
-10
29 Aug 2026, 11:54
23,659
-3
28 Aug 2026, 14:27
23,662
-3
27 Aug 2026, 14:24
23,665
-23
26 Aug 2026, 12:58
23,688
-3
25 Aug 2026, 15:52
23,691
+4
24 Aug 2026, 13:32
23,687
-45
22 Aug 2026, 19:02
23,732
-8
21 Aug 2026, 06:35
23,740
-15
20 Aug 2026, 03:33
23,755
first reading
Engagement
103 posts held, back to 30 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
24.1%
avg views ÷ 23,505 subscribers
Avg views / post
5,660
34 posts measured
Reaction rate
12.4%
reactions ÷ views · ER floor
Posts in window
34
of 103 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 3 September 2026
Posts held
103 (30 July 2026 – 3 September 2026)
Views total
192,530
Reactions total
23,923
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 11:04 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
4m 38s
Average length
56s
Measured directly from 5 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
74,924 reactions across 103 posts, in 53 distinct kinds. The most used accounts for 34.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
25,806
34.4%
😁
21,596
28.8%
❤
10,059
13.4%
💯
6,426
8.58%
🔥
3,477
4.64%
👍
1,863
2.49%
❤🔥
1,307
1.74%
😎
510
0.681%
💔
434
0.579%
🙈
410
0.547%
👏
361
0.482%
🦄
350
0.467%
🍾
300
0.4%
🥰
292
0.39%
😱
190
0.254%
👀
182
0.243%
🤯
166
0.222%
💅
160
0.214%
😨
150
0.2%
🤝
139
0.186%
33 further kinds
746
0.996%
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 103 of the 103 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 74,924 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 103 most recent posts we hold, published 30 July 2026 to 3 September 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.
Advertising
Ad load
1.94%
2 of 103 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
4,040
over 2 measured posts
Median views · rest
5,900
over 101 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
2SDnjdeUpZh
1
2 September 2026
2 September 2026
2VSb5xhigdQ
1
17 August 2026
17 August 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 103 most recent posts we hold, published 30 July 2026 to 3 September 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.
Первый год семейной жизни.
— Дорогая, ты зачем-то поставила у двери огромный мешок с вещами, я бьюсь об него ногой каждый раз!
— Ой, извини, я сейчас уберу!
Девятый год семейной жизни.
— Дорогая, ты зачем-то поставила у двери огромный мешок с вещами, я бьюсь об него ногой каждый раз!
— А ты не бейся!
Всем же в детстве снилось, что идешь в школу, и уже на пороге обнаруживаешь, что забыла дома рюкзак или сменку? Или что юбку не надела? Ужас, кошмар, паника, просыпаешься в холодном поту.
А мне сегодня ночью приснилась взрослая версия этой истории. Я приехала в отпуск, открываю чемодан и понимаю — что не положила туда вещи. Вообще никакие. Просто пустой чемодан с собой привезла. Ужас, кошмар, паника, проснулась в хо…
— Дорогая, ты забрала справку из школы?
— Нет еще. Завтра заберу.
— А сейчас забрала?
— Нет еще. Завтра заберу.
— А сейчас забрала?
— У меня все под контролем! Завтра точно заберу!
В итоге я забираю справку в последний момент и обнаруживаю, что секретарь ошиблась в паспортных данных. Паника, лишний час ожидания, мотания туда-сюда за паспортом. Мораль: не откладывай на завтра.
Но как не откладывать, если не пол…
Подруга пишет:
— Сегодня на детской площадке мы познакомились с девочкой, которую зовут Апрель!
— Нифига себе! — бурно реагирует вторая подруга. — Прям так и зовут? Реально ребенка так назвали? Прям родители ее так подзывают при всех? На детской площадке? А… Ой… Я неправильно прочитала сначала... Я решила, что Апероль…
Добрый вечер, друзья, а это мои дочери: Апероль, Маргарита и Кровавая Мэри. С их папой мы познак…
Ходила на педикюр, рядом со мной сидела другая клиентка, которая только вернулась с отдыха из Черногории.
— Ну и как вам? — спрашивает ее мастер.
— Да как-то не знаю, не восторг. Во-первых, море далеко было. Пока туда доберешься, пока обратно — час пройдет, очень утомительно. Во-вторых, этот овечий сыр мне вообще не нравится, хамон тоже так себе был. В-третьих, достопримечательностей маловато — посмотрели мы мост, …
Продолжение истории про капли.
Пишу дочери с утра (она у бабушки просто), как она себя чувствует сейчас, нормально ли видит и как все прошло.
«Я все вижу прекрасно! — отвечает дочь. — И мне понравился эффект! Подносишь телефон к носу — и не видишь ничего! Вообще ничего! Буквально ничего! Одно огромное пятно! Так прикольно! Просто супер!»
Надо бы тоже начать так реагировать на всякие новости в жизни. Вот недавно на…
Дочери прописали капли в глаза. Ночью от Евы пришло под десяток кружков с ее попытками закапать их себе самой.
Сначала дитятко попало этими каплями в рот (оказывается, рот и глаза расположены в опасной близости друг от друга), потом на нос, потом закапала лоб и брови. Потом попала-таки непосредственно в глаз, после чего кружочек стал черным, а на фоне раздался крик: «Ой-ой-ой! Что же так щиплет!»
Подозреваю, что жи…
Буквально на моих глазах человек в комментариях сначала написал, что женщины с прямыми волосами — курицы, а потом — что Земля плоская. Мне кажется, тут комментировать — только портить.
Из отпуска вышла коллега, и я решила отметить это знаменательное событие просмотром сериала, потому что внезапно освободился вечер. А к сериалу надо что? Что-нибудь вкусненькое. Поэтому я пошла в магазин за желтым полосатиком.
Желтого полосатика в магазине не оказалось, зато оказался лещ. Я не знаю, где этот магазин берет лещей, возможно, вылавливает возле Фукусимы, ничем другим я объяснить размер леща не могу. В дл…
Все вокруг твердят: нейросети, нейросети!
Ожидание: сотрудники умеют ими пользоваться. Реальность: коллеги просят меня помочь с задачей, которую Claude безупречно решает за пять минут.
Я последний год плотно работаю с нейросетками, и они, конечно, здорово облегчают жизнь: могут и проверить текст на опечатки, и проанализировать большой массивов данных. Что-то я изучила сама, в чем-то помог муж, что-то подсмотрела в …
Собираюсь в Москву, смотрю прогноз погоды, жалуюсь мужу на +16 и бесконечные дожди.
— Даже не понимаю, в чем ехать!
— Тебе определенно нужен новый гардероб, — отвечает муж, — у тебя же наверняка есть одежда на +17 и на +15. А на +16 нет. Пора идти в магазин.
Даже если это была ирония, ниче не знаю. Сказали пора обновлять гардероб — значит, надо идти обновлять гардероб.
😁516💯250🤣141🍾21❤20🔥11💅8🦄7
Showing the 12 most recent of 103 posts we hold for @onwritingwell. 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
@onwritingwell edited 1 post 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
19 August 2026
Most recent edit
19 August 2026
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
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.
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 18 September 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.
Слава Сэ | Fan @slava_ce · 23,102 Telegram ranks this channel #1 of 87 here — alongside 86 others — read 19 September 2026
Печатные выражения @pechat_sallyks · 26,373 Telegram ranks this channel #1 of 77 here — alongside 76 others — read 13 September 2026
Собачий Потрох @sobachkyn_potroh · 47,604 Telegram ranks this channel #1 of 70 here — alongside 69 others — read 26 August 2026
Женщина и прочие неприятности @conflict_in · 49,596 Telegram ranks this channel #1 of 86 here — alongside 85 others — read 25 August 2026
Александр Бессонов @AleksBessonov · 60,410 Telegram ranks this channel #1 of 73 here — alongside 72 others — read 22 August 2026
Максимально наша @maximalno_nasha · 25,489 Telegram ranks this channel #2 of 87 here — alongside 86 others — read 14 September 2026
мерзкие женщины @merzkiej · 33,275 Telegram ranks this channel #3 of 87 here — alongside 86 others — read 4 September 2026
Vselennaya @vselen_naya1 · 118,156 Telegram ranks this channel #3 of 87 here — alongside 86 others — read 24 August 2026
Ira_khay @ira_khay · 45,788 Telegram ranks this channel #4 of 71 here — alongside 70 others — read 20 September 2026
Барышня шутить изволит @baryshnya_shutit · 45,494 Telegram ranks this channel #4 of 84 here — alongside 83 others — read 27 August 2026
Вшивая интеллигенция @vshivaya_intelligenciya · 51,791 Telegram ranks this channel #4 of 83 here — alongside 82 others — read 25 August 2026
Olechkin_durdom @olechkindurdom · 52,001 Telegram ranks this channel #4 of 76 here — alongside 75 others — read 24 August 2026
Александр Райн| Канал авторских историй @RaynAlexandr · 32,474 Telegram ranks this channel #5 of 76 here — alongside 75 others — read 5 September 2026
Тамара, какого хрена? @od_tkh · 22,937 Telegram ranks this channel #6 of 84 here — alongside 83 others — read 19 September 2026
БЕЗУДЕРЖНОЕ ВЕСЕЛЬЕ @bezuderjnoe_veselie · 33,764 Telegram ranks this channel #7 of 70 here — alongside 69 others — read 3 September 2026
Бабское коммьюнити @community43 · 68,447 Telegram ranks this channel #7 of 91 here — alongside 90 others — read 20 August 2026
Записки какого-то мужика @zapiski_man3 · 31,606 Telegram ranks this channel #10 of 82 here — alongside 81 others — read 5 September 2026
МАША И ЕДА @delikatessenit · 46,387 Telegram ranks this channel #10 of 87 here — alongside 86 others — read 27 August 2026
О зверях и людях (Диана Удовиченко) @diana_udovichenko · 27,469 Telegram ranks this channel #15 of 86 here — alongside 85 others — read 10 September 2026
еврейка у микрофона @urfavjewishgirl · 43,857 Telegram ranks this channel #16 of 94 here — alongside 93 others — read 28 August 2026
Катины секреты @no_drama_plz · 37,497 Telegram ranks this channel #17 of 81 here — alongside 80 others — read 1 September 2026
Алеся Петровна @alesiapetrovna · 140,263 Telegram ranks this channel #19 of 89 here — alongside 88 others — read 13 August 2026
Быть одной — ЗБС @homealoneee · 27,892 Telegram ranks this channel #24 of 91 here — alongside 90 others — read 10 September 2026
Душнотека Грека @zolotoygrek_life · 41,390 Telegram ranks this channel #31 of 87 here — alongside 86 others — read 29 August 2026
This channel appears in 35 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Мамыкина явилась” (@onwritingwell), 23,505 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/onwritingwell.
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.