Education — 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 79% 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 53 days, net +559. 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 23,553–24,280 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
29 Sept 2026, 06:36
24,196
+304
17 Sept 2026, 19:38
23,892
+42
15 Sept 2026, 17:56
23,850
-2
14 Sept 2026, 03:38
23,852
+30
12 Sept 2026, 11:21
23,822
+31
10 Sept 2026, 09:02
23,791
+9
7 Sept 2026, 02:40
23,782
+125
4 Sept 2026, 07:38
23,657
-8
2 Sept 2026, 23:59
23,665
-3
1 Sept 2026, 21:33
23,668
+5
31 Aug 2026, 18:38
23,663
-3
30 Aug 2026, 21:48
23,666
+3
29 Aug 2026, 18:35
23,663
-7
28 Aug 2026, 20:04
23,670
+4
27 Aug 2026, 22:15
23,666
-1
26 Aug 2026, 19:14
23,667
-1
25 Aug 2026, 19:47
23,668
-1
24 Aug 2026, 18:25
23,669
+4
23 Aug 2026, 02:52
23,665
+3
21 Aug 2026, 17:37
23,662
first reading
Engagement
65 posts held, back to 5 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 68 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.7%
avg views ÷ 24,196 subscribers
Avg views / post
3,080
20 posts measured
Reaction rate
2.87%
reactions ÷ views · ER floor
Posts in window
20
of 65 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 1 October 2026
Posts held
65 (5 August 2026 – 1 October 2026)
Views total
61,619
Reactions total
1,769
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Oct 2026, 07:46 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
≈6,470
Videos
≈910
Links
≈942
Lifetime counters from Telegram’s own channel header, read 2 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
12h 24m
Average length
29m 48s
Measured directly from 25 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
6,672 reactions across 65 posts, in 23 distinct kinds. The most used accounts for 44.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
2,959
44.3%
❤
2,074
31.1%
👍
1,026
15.4%
👏
445
6.67%
🤔
59
0.884%
🥰
25
0.375%
❤🔥
15
0.225%
👌
11
0.165%
🙏
9
0.135%
✍
8
0.12%
🥴
8
0.12%
💯
6
0.09%
😱
4
0.06%
🤣
4
0.06%
🤩
4
0.06%
😁
3
0.045%
🤯
3
0.045%
🍾
2
0.03%
😢
2
0.03%
🫡
2
0.03%
3 further kinds
3
0.045%
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 65 of the 65 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 6,672 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 65 most recent posts we hold, published 5 August 2026 to 1 October 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.
🚨 ДЕВОЧКИ, ЭКСТРЕННОЕ ВКЛЮЧЕНИЕ! 🚨
Знаю, что многие из вас очень ждали эту знаменитую двойку от Dior! ❤️
Но у нас возник один нюанс. Воспроизвести узор именно таким, каким он был представлен на подиуме, — с той самой шишечкой внутри — пока не получается.
ЗАТО! 😍
У нас есть альтернативный узор, который Dior также использовал в массовом производстве этой модели. То есть это тоже оригинальный вариант, просто немного…
Девчонки, я к вам опять с новой авантюрой! 🔥🧶
Вчера поступило предложение связать вот такой комплект: джемпер, длинный шарф и сумку в едином стиле!
И знаете что? Я просто загорелась этой идеей! 😍 Мне она безумно нравится! А поскольку я человек авантюрный и азартный, руки уже чешутся взяться за спицы и попробовать повторить эту красоту!
Но прежде чем ввязываться в очередную вязальную авантюру, хочу посоветоваться с…
Похвастушки от Оксаны из Совместника то Флора.
"Добрый вечер)
Топ связала для дочери, она просила короткий. Вязался очень легко. До этого я практически не вязала одежду.
Нитки использовала Drops Belle, цвет экрю, спицы 4,5мм.
Благодарю за МК"
Оксана, прекрасная работа!! Очень красивый топик! Сидит на дочке отлично! Браво! 💫💫💫
▶️▶️ Совместник топ Флора
Сайт
https://vikiknitting.place/product/sovmestnik-top-…
🧶 Как длина регланной линии и величина подреза влияют на ширину изделия?
Почему один реглан сидит идеально, а другой получается слишком широким или тесным?
Всё дело в правильных расчётах! Длина регланной линии и величина подреза напрямую влияют на ширину изделия, свободу облегания и комфорт посадки.
В этом видео — фрагмент из нашего совместника по кардигану «Монклер», где мы подробно разбираем эти важные нюансы.
…
Похвастушки от Алёны из Совместника Джемпер Аврора.
"Олечка, спасибо за совместник! Джемпер классный получился, мне очень нравится. Однозначно буду носить!!!"
Алёна, это просто восторг! Супер ! Очень красивый джемпер!💫💫💫
▶️▶️ Совместник Джемпер Аврора
Сайт
https://vikiknitting.place/product/sovmestnik-dzhemper-briz-kopirovat/
Бусти
https://boosty.to/vikiknitting/posts/820f83a9-3995-429f-be09-17dab264dee3?share=p…
🧶 МОДНЫЕ АКСЕССУАРЫ ОСЕНЬ–ЗИМА 2026/27! Что будем вязать в этом сезоне?
Девчонки, давайте сегодня поговорим о моде! 🍂
Я посмотрела, что предлагают известные модные дома в новом сезоне, и у меня для вас отличные новости: вязаные аксессуары снова в центре внимания! Причём дизайнеры делают ставку не только на тепло и уют, но и на необычные формы, интересные фактуры и эффектные сочетания.
Что же сейчас актуально?
1. …
Хотите, чтобы кардиган сидел идеально, а реглан не был вечной загадкой? ❤️
Присоединяйтесь к нашему совместнику Moncler! Вяжем кардиган сверху вниз, регланом, полностью без швов. Разберём правильную посадку, росток и все важные нюансы — пошагово вместе с Инессой.
Даже если вы никогда не вязали реглан сверху — приходите, всему научим!
Сайт
https://vikiknitting.place/product/sovmestnik-dzhemper-s-krugloj-koketkoj-ra…
Рубрика ПОДИУМ Школы Рукоделия с Викой. Сегодня свои работы представляет Екатерина.
Джемпер Поло без пола (Мастер-класс Викой)
Сайт https://vikiknitting.place/product/master-klass-dzhemper-polo-bez-pola/
Бусти
https://boosty.to/vikiknitting/posts/dc5e4cb3-011a-4c7d-aea0-0d7c3ab57d3f
Джемпер Лето (Совместник с Викой)
Подписка на Бусти
https://boosty.to/vikiknitting/posts/bbe7e311-0a14-4f08-b0be-df70081346c1
Кардиган…
Девчонки, у меня к вам сегодня большая просьба — просто по-дружески ❤️
На YouTube вышел мой новейший мастер-класс по вязанию кардигана из Alize Puffy Fine.
И главная его фишка — этот кардиган можно связать всего за ДВА ДНЯ! 😍 Причём руками — без спиц, без крючка и даже без специальных навыков вязания.
Я вложила в этот мастер-класс очень много времени и труда, поэтому хочу попросить вас о небольшой поддержке.
Пожа…
Красивое изделие начинается с деталей. ✨
В этом коротком видео — всего лишь один маленький фрагмент нашего нового совместника Moncler: укрепление горловины, чтобы она держала форму, выглядела аккуратно и профессионально.
А в самом совместнике вас ждёт гораздо больше. 🤍
Кардиган вяжем сверху вниз, регланом, единым полотном и без швов. Совместник проводит Инесса — наш специалист по реглану и идеальной посадке.
Даже…
Похвастушки от Елены из Совместника Сумка Лагуна.
"Вика, спасибо за совместник! Моя сумка- подарок подружке на День рождения:) надеюсь она будет довольна :)"
Елена, прекрасная работа! Очень красивая получилась сумка! Все очень аккуратно! Браво! 💫💫💫
▶️▶️ Совместник Сумка Лагуна
Сайт
https://vikiknitting.place/product/sovmestnik-sumka/
Бусти
https://boosty.to/vikiknitting/posts/490cb2fb-3e9f-4c6b-bfac-945fe858f2ba
👏40🔥32❤12👍1🤔1
Showing the 12 most recent of 65 posts we hold for @vikiknit. 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.
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 2 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 17 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.
Gala Sheikh/Галина Шейх вязание @Gala_Sheikh · 25,104 Telegram ranks this channel #25 of 56 here — alongside 55 others — read 15 September 2026
НКД @nataliakovaleva_design · 22,958 Telegram ranks this channel #32 of 61 here — alongside 60 others — read 20 September 2026
ASHA Вязание, фотографии, видеомастер-классы. 🍃🧶 @knittmi · 23,077 Telegram ranks this channel #46 of 77 here — alongside 76 others — read 19 September 2026
Стильное вязание, СХЕМЫ @stilnoe_vjazanie · 51,986 Telegram ranks this channel #64 of 76 here — alongside 75 others — read 24 August 2026
Антон Алексеев @Ant0HAlex · 50,625 Telegram ranks this channel #74 of 76 here — alongside 75 others — read 25 August 2026
This channel appears in 5 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 29 September 2026 — this
entry's latest reading, not the date you are reading this.
“Вяжем с Викой🧶” (@vikiknit), 24,196 subscribers as measured 29 September 2026. Telegram Register, tgregister.com/channel/vikiknit.
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.