Travel — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 39% 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
14 measurements spanning 41 days, net -41. 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 7,561–7,619 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 06:20
7,571
-1
13 Sept 2026, 11:20
7,572
-1
9 Sept 2026, 05:38
7,573
+5
4 Sept 2026, 01:54
7,568
-3
1 Sept 2026, 00:07
7,571
-10
29 Aug 2026, 07:16
7,581
-5
26 Aug 2026, 08:37
7,586
+5
23 Aug 2026, 00:56
7,581
-8
19 Aug 2026, 09:36
7,589
-4
16 Aug 2026, 19:57
7,593
-7
13 Aug 2026, 12:34
7,600
-9
10 Aug 2026, 11:56
7,609
-3
7 Aug 2026, 11:40
7,612
no change
7 Aug 2026, 08:01
7,612
first reading
Engagement
31 posts held, back to 15 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 17 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.61%
avg views ÷ 7,571 subscribers
Avg views / post
652
6 posts measured
Reaction rate
5.83%
reactions ÷ views · ER floor
Posts in window
6
of 31 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 26 August 2026
Posts held
31 (15 July 2026 – 26 August 2026)
Views total
3,911
Reactions total
228
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 21:47 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
15m 14s
Average length
1m 31s
Measured directly from 10 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
1,065 reactions across 29 posts, in 10 distinct kinds. The most used accounts for 33.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
359
33.7%
🔥
303
28.5%
😁
195
18.3%
👍
146
13.7%
😍
33
3.10%
👏
12
1.13%
❤🔥
11
1.03%
💩
3
0.282%
😱
2
0.188%
😢
1
0.094%
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 29 of the 31 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 1,065 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 15 July 2026 to 26 August 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
4
across the posts below
Posts paid on
4
of 29 we hold a reading for · 14%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nataliaten_vvch. 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 31 most recent posts we hold for this entry, published 15 July 2026 to 26 August 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.
Давненько на канале не было нормальной еды. Безобразие какое. Вы ж небось думаете, что я голодаю. Вон отощала вся.
А вот фигушки, жру каждый день и с удовольствием. Я себя называю гастрономический антрополог, потому что для меня еда не бывает просто заполнителем желудка и даже не просто вкусно или не вкусно. Для меня еда это история, культура, традиции, обычаи и даже философия. Возможно, поэтому в список любимых поп…
Я поизучала рейтинг стран по ожирению. Точнее, один из. Именно тот, на который ссылаются все узбекские новости.
Из стран бывшего СССР самая толстая страна - Грузия. Узбекистан на втором. Из стран Средней Азии, действительно, узбеки первые.
Я 13 лет вожу туристов по Узбекистану. И могу сказать уверено - в моих группах не набирают вес. Можете спросить у тех, кто со мной ездил. И не потому что я экономлю на еде. Те же…
–28 кг. Без магии. Как все было на самом деле
Выложила новое видео и впервые подробно рассказала, как именно мне удалось похудеть на 28 кг — что реально сработало, что оказалось бесполезным и где я сама себя обманывала.
Если вы сейчас тоже пытаетесь похудеть — думаю, вам будет особенно интересно.
Видео уже вышло 👇
https://youtu.be/JH_p16Sz1OM
https://youtu.be/JH_p16Sz1OM
https://youtu.be/JH_p16Sz1OM
Смотрите нов…
А еще помню в своём ташкентском детстве. Мама приносила арбуз, сейчас для меня загадка, как она его перла с базара, и всегда отправляла его купаться в холодной воде в ванную.
Спелые арбузы не тонут. Чем больше арбуз торчит из воды, тем он спелее. Я так всегда и говорю, что на месте арбузных торговцев я бы рядом с кучей ставила бочку с водой. Идеальная проверка на спелость.
Я бы и сейчас купала арбуз. Только сейчас …
Сказали, образ начала 2000-х в стиле r’n’b и хипхопа.
Не думали эти очки, что наступит день, когда их расчехлят. Я их купила на Кипре в 1996 году. Джани Версаче с тем логотипом, не с таким как сейчас.
Когда вся группа собралась в костюмах, я сказала: Мы так не одевались. Так как мы были одеты на выступлении, так выглядели американские звезды в телевизоре. Но убей Бог, я не помню, как я одевалась в то время. Мне было…
Восточный рынок - это место, где невозможно просто «зайти посмотреть» 😄
Сначала ты видишь горы кураги, изюма, сушёных ягод и фруктов. Потом замечаешь специи. Потом начинаешь всё пробовать. А через пять минут уже стоишь с пакетами и пытаешься понять, зачем тебе столько всего… 🤭
И вот за это мы особенно и любим такие рынки. Здесь еда - это не просто продукты, а часть культуры: цвет, запах, вкус, разговоры с продавцам…
У меня с вами сегодня СЕРЬЕЗНЫЙ РАЗГОВОР
Мы с вами давно не сплетничали, да так по девичьи) я уже и не знаю кто из вас чем занимается
я вот похудела на 28 кг за последнее время. Для меня в 53 года это СУПЕР результат
Раньше просыпалась недовольная и тюкала себя за каждый съеденный десертик
Теперь, с утра легкость в теле, меньше стеснения, и мысль - что лишний бургер меня не испортит
Какое состояние лучше? Решайте…
Две недели прошло и у меня ощущения, что я побывала в параллельной Вселенной. Как будто это было не со мной, хотя тело помнит каждое движение. Ну конечно, в течение недели по 4-6 часов тренировок и каждая хоряга была повторение раз по 500.
Всем известная компания Proтанцы уже 10 лет на Розе Хутор в июле собирает танцевальный лагерь
Вообще-то лагерь детский и у отпрысков треня вообще с утра до вечера. А потому что ф…
🔥14👍9❤6👏3
Showing the 12 most recent of 31 posts we hold for @nataliaten_vvch. 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.
Mentions
Named by 1 registered channel — 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Наталья Тен. Опять она где-то жрет” (@nataliaten_vvch), 7,571 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/nataliaten_vvch.
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.