Health & wellness — 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 100% 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
32 measurements spanning 42 days, net +106. 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 16,031–16,254 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
18 Sept 2026, 22:58
16,228
+11
16 Sept 2026, 11:00
16,217
+8
14 Sept 2026, 12:54
16,209
+13
12 Sept 2026, 22:00
16,196
-9
10 Sept 2026, 22:17
16,205
+19
8 Sept 2026, 00:38
16,186
+45
5 Sept 2026, 01:18
16,141
+14
3 Sept 2026, 10:04
16,127
+20
2 Sept 2026, 02:23
16,107
+8
1 Sept 2026, 02:14
16,099
+8
30 Aug 2026, 23:17
16,091
+11
29 Aug 2026, 19:42
16,080
+7
28 Aug 2026, 18:24
16,073
+4
27 Aug 2026, 16:33
16,069
+7
26 Aug 2026, 13:34
16,062
+5
25 Aug 2026, 14:29
16,057
-1
24 Aug 2026, 11:48
16,058
-4
22 Aug 2026, 22:25
16,062
-1
21 Aug 2026, 09:26
16,063
-5
20 Aug 2026, 12:36
16,068
first reading
Engagement
108 posts held, back to 3 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 54 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.77%
avg views ÷ 16,228 subscribers
Avg views / post
1,420
41 posts measured
Reaction rate
3.41%
reactions ÷ views · ER floor
Posts in window
41
of 108 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
108 (3 August 2026 – 3 September 2026)
Views total
58,333
Reactions total
1,988
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:09 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
53s
Average length
53s
Measured directly from 1 video 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
5,421 reactions across 108 posts, in 15 distinct kinds. The most used accounts for 38.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
2,108
38.9%
❤
1,775
32.7%
🔥
717
13.2%
💯
525
9.68%
🥰
99
1.83%
👏
55
1.01%
❤🔥
52
0.959%
✍
47
0.867%
🙏
15
0.277%
😢
13
0.24%
🤔
9
0.166%
🕊
3
0.055%
💘
1
0.018%
😁
1
0.018%
🥱
1
0.018%
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 108 of the 108 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 5,421 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 108 most recent posts we hold, published 3 August 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.
Telegram Stars
Stars received
7
across the posts below
Posts paid on
6
of 108 we hold a reading for · 6%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @miniterminator. 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 108 most recent posts we hold for this entry, published 3 August 2026 to 3 September 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.
Advertising
Ad load
2.78%
3 of 108 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
1,520
over 3 measured posts
Median views · rest
1,500
over 105 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
2VtzqupnKDm
1
24 August 2026
24 August 2026
2VtzqvjfKas
1
26 August 2026
26 August 2026
2VtzqwFMqLN
1
6 August 2026
6 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 108 most recent posts we hold, published 3 August 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.
Лучшие продукты из овсянки для вашего здоровья:
.
Овсянка прочно ассоциируется с заботой о здоровье, с теплом и комфортом. С нежной овсяной каши так приятно начинать осеннее утро! Или вспоминать детство, запивая овсяное печенье молоком. Какие продукты из овса — самые полезные. Вот лучшие идеи для вашего рациона:
.
🌱 Цельные овсяные хлопья. Ищите на упаковке маркировку «цельнозерновые» или «из цельного зерна». Такие х…
Можно ли начать худеть без подсчета калорий?
Понимаю, насколько сложно перестраивать образ жизни и осваивать массу новой информации. Поэтому считаю этот вопрос важным. Сегодня посвятила ему статью на Яндекс Дзен.
Техника упражнений для упругого тела
.
Один простой прием на силовой тренировке поможет усилить выработку коллагена и улучшить состояние кожи:
.
Замедляйте эксцентрическую фазу в каждом движении. Это момент, когда вы медленно опускаете вес, и мышцы растягиваются под нагрузкой. Акцент на эксцентрической фазе дополнительно стимулирует выработку миокинов. Это белки, которые стимулируют фибробласты — клетки кожи, ответст…
Нужно ли принимать омега-3 в капсулах?
.
В последнее время проводится много исследований эффективности омега-3 в отношении профилактики системного воспаления, сердечно-сосудистых нарушений, когнитивных нарушений, старения кожи. Результаты их расплывчаты и противоречивы. Теоретически это самый известный «противовоспалительный» нутриент, но реальные клинические исследования не находят здесь у добавки омега-3 чудодейств…
Для роста и упругости мышц важна аминокислота лейцин. В каких продуктах его много?
Лейцин служит сигналом для начала синтеза мышечного белка.
Он помогает преодолеть анаболическую резистентность (снижение мышечного отклика на потребляемый белок). На какие продукты следует обратить внимание, если ваша цель — укрепить и нарастить мышечную ткань?
Обратите внимание на яйца, арахис, лосось и куриную грудку. Особенно богат …
Кальций — важный элемент для сохранения молодости лица, подтянутого тела и здоровья костей
Норма потребления кальция для женщин достаточно высока. При спонтанном питании у большинства наблюдается дефицит. Поэтому продукты, богатые кальцием, нужно держать на контроле и включать что-то из их списка в рацион каждый день.
.
Основные источники кальция:
.
Твердые сыры и рыбные консервы с костями, например, сардины. Они жир…
Как улучшить усвоение белка в организме
.
Съесть свою норму белка — это только полдела. Чтобы он реально пошёл на пользу коже, мышцам и суставам, организму нужно его усвоить. Вот что помогает организму эффективнее расщеплять белки и задействовать их для обновления тканей:
.
Разнообразьте источники белка. После 40–50 лет мышцы теряют чувствительность к аминокислоте лейцину — она подаёт сигнал к обновлению тканей. Чтоб…
Сентябрь
Люблю этот момент, когда градус летней эйфории снижается. Когда тьма и свет обнимаются перед тем, как поменяться местами.
В это время я обычно ощущаю покой и равновесие.
Уходящего лета немного жаль, но возникает знакомое с детства чувство интриги и приближения чего-то нового.
То чувство, когда успела соскучиться по книгам и школьным подругам, по ароматному какао из школьной столовой, уюту библиотеки, шороху …
Новая публикация на Яндекс Дзен: многие ждали качественный комплекс упражнений от вдовьего горбика для домашних условий. Сегодня публикую для вас отличную тренировку, в которой учтены все особенности этой проблемы. Изучайте, добавляйте в закладки!
Как встроить су-вид в свою жизнь
Как происходит готовка в общих чертах? Напишу, чтобы вы могли себе это представить. Весь процесс очень системный и предсказуемый. Его можно адаптировать под любой состав семьи.
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👣 Шаг 1. Планирование и закупка. Определите, какие белковые продукты и овощи вашм нужны. Закупите их одной партией, 4-8 кг. Это могут быть бедра индейки, куриные голени, свекла, морковь — что угодно.
.
👣 Шаг …
Как быстро поднять уровень энергии
.
В середине дня накатывает усталость, сонливость, а мозг требует сладкого или кофе? Вместо перекуса можно использовать короткую физическую активность для быстрого притока энергии. Когда чувствуете спад, сделайте 3 подхода высокоинтенсивных упражнений, например, отжиманий. Важно выполнять их с максимально возможной для вас на данный момент нагрузкой.
.
Это простое действие способств…
🔥37❤3👍1
Showing the 12 most recent of 108 posts we hold for @miniterminator. 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.
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.
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.
Nice&Easy / Нутрициолог Дарья Савельева @perekusovnet · 39,617 Telegram ranks this channel #31 of 93 here — alongside 92 others — read 30 August 2026
Мудрость Фитнеса (тренер Кабуров) @fitness_mayatnik · 25,728 Telegram ranks this channel #37 of 93 here — alongside 92 others — read 13 September 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Тренер взрослых девочек | спортивная фигура в любом возрасте” (@miniterminator), 16,228 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/miniterminator.
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.