Parenting & family — 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 13 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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
38 measurements spanning 98 days, net +10,259. 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 749–14,086 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 38
Measured (UTC)
Subscribers
Change
12 Nov 2026, 12:47
12,547
+323
10 Nov 2026, 06:55
12,224
-136
8 Nov 2026, 17:36
12,360
+79
7 Nov 2026, 10:49
12,281
+168
6 Nov 2026, 11:47
12,113
+377
5 Nov 2026, 11:30
11,736
+264
4 Nov 2026, 14:51
11,472
+486
3 Nov 2026, 13:07
10,986
+370
2 Nov 2026, 10:55
10,616
-7
1 Nov 2026, 10:06
10,623
+79
31 Oct 2026, 12:47
10,544
+184
30 Oct 2026, 14:40
10,360
+215
29 Oct 2026, 13:18
10,145
-78
28 Oct 2026, 15:50
10,223
-73
27 Oct 2026, 17:29
10,296
-63
26 Oct 2026, 19:10
10,359
-31
25 Oct 2026, 21:29
10,390
-56
24 Oct 2026, 23:39
10,446
-71
23 Oct 2026, 21:51
10,517
-94
23 Oct 2026, 00:41
10,611
first reading
Engagement
43 posts held, back to 25 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 25 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
29.1%
avg views ÷ 12,547 subscribers
Avg views / post
3,650
20 posts measured
Reaction rate
5.66%
reactions ÷ views · ER floor
Posts in window
20
of 43 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 11 November 2026
Posts held
43 (25 July 2026 – 11 November 2026)
Views total
73,080
Reactions total
4,138
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 09:08 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
1m 09s
Average length
14s
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
6,247 reactions across 40 posts, in 10 distinct kinds. The most used accounts for 35.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,219
35.5%
🔥
2,039
32.6%
❤🔥
793
12.7%
😍
543
8.69%
🥰
530
8.48%
💋
46
0.736%
🤯
22
0.352%
🤗
21
0.336%
💔
18
0.288%
🌚
16
0.256%
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 40 of the 43 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 6,247 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 43 most recent posts we hold, published 25 July 2026 to 11 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
11
across the posts below
Posts paid on
7
of 40 we hold a reading for · 18%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tvitinaa. 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 43 most recent posts we hold for this entry, published 25 July 2026 to 11 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: 2 of 20 posts held from the last 30 days (10.0%) 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).
|Девочки, скажите, я одна такая?|
Когда случайно нахожу чей-то Telegram-канал, первым делом смотрю на общий визуал.📷
Листаю ленту фотографий, рассматриваю обложки, цвета, снимки. И знаете, дело даже не в идеальной эстетике или красивой картинке.
Мне нравится, когда через визуал человек передаёт свой характер, настроение и вайб. Когда смотришь на ленту и будто немного знакомишься с автором ещё до прочтения постов.
А…
|Нашла несколько симпатичных помощников для макияжа от CHICNIE | ❤️
⭐Скошенная кисть 104 — для румян, бронзера и контуринга.
⭐Набор из 5 кистей Kitten Eye — для красивого макияжа глаз.
⭐Два спонжа Multi-Use — для тонального, консилера и других средств.
Всё необходимое для аккуратного макияжа без лишних аксессуаров.
Люблю такие практичные находки🤍
|Девочки, я первый раз в жизни попробовала пэды для лица|🧴
У меня PANTHEAL STORY, и меня сразу заинтересовал их состав: 70% отвар центеллы азиатской, AHA и LHA кислоты.
📎Они мягко очищают кожу, помогают успокоить воспаления и хорошо увлажняют.
Теперь понимаю, почему их так часто можно встретить в бьюти-рутинах 🤎
Бренд: @panthealstory_russia
[арт wb : #232232226]
🌺РОЗЫГРЫШ
Осень — время, когда особенно хочется тепла, уюта и заботы о себе 🥃
Поэтому мы с Asara Home приготовили для тебя настоящий подарок: целых 7 призов!
🌹1 место: Любой товар Asara Home на твой выбор
🌹2 по 7 место: Набор из 2 ароматических диффузоров Asara Home
Условия:
1⃣Подписка на каналы:
💋Asara Home | Ароматический дом
💋Sabina | Beauty
💋В ГОСТЯХ У ТВИТИ| by Anna
2⃣Нажми на кнопку «Участвую!»
3⃣Актив на наш…
|Продолжаем наводить уют дома|🤎
И я не смогла пройти мимо диффузоров ASARA HOME
Первым делом, конечно же, зацепил дизайн флакончиков. Люблю, когда даже такие мелочи выглядят эстетично и становятся частью интерьера.
Но красивой баночкой сыт не будешь, поэтому теперь будем знакомиться и с ароматами
⚫⚫⚫⚫⚫⚫⚫⚫⚫⚫
Обожаю, когда дома приятно пахнет, а атмосфера становится ещё уютнее.
⚫⚫⚫⚫⚫⚫⚫⚫⚫⚫
Кажется, у меня появилась но…
|Девочки, ловите полезную инструкцию|☺️
Если у вас iPhone и вы, как и я, не хотите расставаться с любимым iCloud, но не знаете, как его оплачивать, эта карусель для вас.
Покажу, как пополнить Apple ID через Ozon и продлить своё облачное хранилище.
Сохраняйте, чтобы не потерять, и отправляйте подружкам, которым тоже пригодится!❤️
|немного beauty-обновлений|
Уже две недели в моей косметичке средства от BOOSTER BAR. Делюсь тем, что успела отметить.
⚫⚫⚫⚫⚫⚫⚫⚫⚫⚫
🧖♀️EVEN TONE BOOSTER by Mila Zenkevich
Сыворотка для ровного тона кожи. Отдельная любовь — флакончик! Необычный формат и невероятно удобное использование. За две недели кожа выглядит более ухоженной.
🧖♀️SILK ENZYME POWDER
Энзимная пудра для умывания. После использования кожа мягкая, чис…
|Последние дни живём в режиме выживания после смены часового пояса | 🫠
Но каждый вечер становится чуточку приятнее, когда видишь, как муж собирает новую мебель для нашей квартиры 🥹
Потихоньку создаём уют в наш дом 🤎
[Девочки, иногда нахожу такие уютные и интересные каналы, что хочется непременно поделиться ими с вами]
Собрала небольшую подборку — вдруг что-то особенно понравится и вам!
Миллион {не}мелочей
Здесь наша сибирская жизнь в картинках: материнство, а также разные подборки, покупки, находки и ещё много всего интересного
В поисках сна и поддержки|Сон•Горшок•Завершение ГВ
Заметки для родителей: бережно, с пониманием и оп…
|Девочки, а вы знали?|
что консистенция маски для волос — тоже важный показатель? 🤩
Я очень не люблю, когда средство буквально вытекает из баночки. Поэтому сейчас особенно рада, что наконец нашла маску, которая меня приятно удивила!🤎
Пока продолжаю тестировать, но уже после первых применений заметила результат
[волосы стали более ухоженными, мягкими и послушными.]
|МЫ ДОМА|
Перелёт прошёл идеально🤍Чем старше Аделина, тем легче с ней летать 🥹
Теперь отдыхаем, восстанавливаемся и привыкаем к новому времени (+4 часа) 🫠
❤113❤🔥43🔥43😍11🥰10
Showing the 12 most recent of 43 posts we hold for @tvitinaa. 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 edited after publishing
@tvitinaa 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
7 August 2026
Most recent edit
7 August 2026
Posts recorded as deleted after publishing
We recorded 6 posts on @tvitinaa 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
7 August 2026
Most recent seen missing
8 November 2026
Median time before seen missing
4 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.
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 7 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.
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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“В ГОСТЯХ У ТВИТИ| by Anna” (@tvitinaa), 12,547 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/tvitinaa.
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.