Other / unclassifiable — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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 measurements spanning 61 days, net -10. 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 2,109–2,124 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Oct 2026, 02:56
2,111
-1
11 Sept 2026, 09:58
2,112
-2
6 Sept 2026, 23:42
2,114
-1
30 Aug 2026, 10:47
2,115
-1
27 Aug 2026, 00:54
2,116
-1
24 Aug 2026, 00:11
2,117
-2
17 Aug 2026, 12:13
2,119
-1
14 Aug 2026, 02:35
2,120
-2
11 Aug 2026, 00:24
2,122
+1
8 Aug 2026, 08:17
2,121
no change
7 Aug 2026, 10:46
2,121
first reading
Engagement
7 posts held, back to 25 June 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 2 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 7 posts for this entry, the most recent from 9 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
25s
Average length
13s
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
519 reactions across 7 posts, in 11 distinct kinds. The most used accounts for 34.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
177
34.1%
❤
166
32.0%
👍
116
22.4%
😭
19
3.66%
💔
14
2.70%
👏
9
1.73%
❤🔥
5
0.963%
😍
5
0.963%
💯
4
0.771%
🎉
2
0.385%
🤩
2
0.385%
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 7 of the 7 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 519 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 25 June 2026 to 9 July 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.
Ждала всю зиму. Теперь никак не могу вдоволь наесться свежей. Какое уж там варенье и компот!
Недавно с Димой делились друг с другом воспоминаниями детства: нам ни разу не доводилось поесть свежих ягод до отвала. Всегда: это на варенье, на зиму, на компот... А еще от малины голова может закружиться, на клубнику может быть аллергия, от сливы диарея и прочие причины, почему нельзя больше трех ягод за раз. Сейчас оба ре…
Вся моя лента в ягодных творожных галетах. Ничего не знаю, у меня лисичковая с сыром. Убрала из теста масло, а обычную муку заменила на цельнозерновую.
Творог (лучше мягкий или пастообразный) 200 гр
Яйцо куриное 1 шт
Мука цельнозерновая 120 гр
Соль щепотка
Если творог слишком сухой и зернистый, предварительно пробейте его блендером. Смешайте все составляющие и замесите тесто. Оно должно слегка липнуть к рукам, но у…
У нас есть только неделя-две в году, когда ещё спеют клубника и земляника и уже начали созревать малина с черникой. Решила этим воспользоваться и приготовить завтрак, какой хотела бы заказать в ресторане. Если бы у меня были на него деньги, ха-ха-ха.
Ради этого сгоняла на рынок за свежими деревенскими яйцами с яркими оранжево-желтыми желтками. Испекла бриошь длительной ферментации на самом лучшем сливочном масле, ка…
Вот так вкусно вчера закончила рабочую неделю, а сегодня начала: солёные сырники. Вчера с рыбкой, сегодня с земляникой. Лабне делаю сама из домашнего йогурта
Недавно добыла на рынке пучок ревеня. И замутила острый джем из ревеня в мультиварке! Получилось бесподобно. Правда, кроме как добавлять его ко вторым блюдам, больше применения не нашла.
Рецепт такой:
Ревень свежий (стебли) очищенный от внешних пленок 300 гр
Сахар 100 гр
Мёд 30 гр
Чеснок 2 больших зубчика
1/2 маленького перца чили
2 гр соли
60 мл уксуса яблочного или винного
100 мл воды
Цедра 1/2 лимона
Варила в му…
Купила у бабушек чесночные стрелки по 30 рублей за пучок и довольная как слон. Жарю на гарнир, добавляю в рагу и на зиму заморозила. Просто напоминаю чтобы вы не забыли про них. Можно перекрутить с салом и намазывать на хлеб к борщу. Можно мариновать для зимних салатов. Добавлять в киши и начинки для пирогов. Можно просто потушить с капустой.
Едите стрелки? Чего готовите?
👍66🔥12❤9💯4❤🔥1
Showing the 7 most recent of 7 posts we hold for @vrednaja_kuhnya. 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.
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.
Галина Майами @galina_miami · 30,393 Telegram ranks this channel #45 of 68 here — alongside 67 others — read 1 October 2026
Ольга Гартман. Психология. Отношения. @gartmanolga_t · 19,175 Telegram ranks this channel #71 of 77 here — alongside 76 others — read 3 October 2026
This channel appears in 2 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 7 October 2026 — this
entry's latest reading, not the date you are reading this.
“Кухня Вредной тётки” (@vrednaja_kuhnya), 2,111 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/vrednaja_kuhnya.
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.
