Personal blog — 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 95% 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 43 days, net +2,096. 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 19,980–23,236 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
19 Sept 2026, 06:20
22,860
+139
16 Sept 2026, 21:18
22,721
+102
15 Sept 2026, 01:40
22,619
-116
13 Sept 2026, 12:18
22,735
+110
11 Sept 2026, 14:40
22,625
-86
9 Sept 2026, 02:42
22,711
+203
5 Sept 2026, 21:20
22,508
-31
3 Sept 2026, 20:37
22,539
+466
2 Sept 2026, 11:24
22,073
-18
1 Sept 2026, 14:13
22,091
+447
31 Aug 2026, 12:14
21,644
-3
30 Aug 2026, 14:53
21,647
-107
29 Aug 2026, 15:56
21,754
-65
28 Aug 2026, 14:33
21,819
-17
27 Aug 2026, 13:28
21,836
+1,102
26 Aug 2026, 10:08
20,734
+187
25 Aug 2026, 07:48
20,547
+68
24 Aug 2026, 09:23
20,479
-72
22 Aug 2026, 17:16
20,551
-34
21 Aug 2026, 08:52
20,585
first reading
Engagement
47 posts held, back to 4 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 59 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.19%
avg views ÷ 22,860 subscribers
Avg views / post
500
15 posts measured
Reaction rate
16.6%
reactions ÷ views · ER floor
Posts in window
16
of 47 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
47 (4 August 2026 – 3 September 2026)
Views total
7,504
Reactions total
1,242
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 12:51 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
7m 20s
Average length
1m 13s
Measured directly from 6 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
3,908 reactions across 46 posts, in 6 distinct kinds. The most used accounts for 30.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
1,184
30.3%
🥰
1,131
28.9%
❤🔥
967
24.7%
😍
474
12.1%
❤
123
3.15%
🤗
29
0.742%
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 46 of the 47 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 3,908 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 47 most recent posts we hold, published 4 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
50
across the posts below
Posts paid on
40
of 46 we hold a reading for · 87%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kalyonova_ariadna. 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 47 most recent posts we hold for this entry, published 4 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.
Вот и всё. Наша маленькая пикниковая серия подошла к концу 🧺
Мы показали, как приготовили лимонад, как Полина стала шефом с безопасными ножами, как звучал винил с Адель и как этот день стал для нас особенным.
Это был не просто пикник. Это было наше тёплое летнее «мы».
Теперь у меня осталась только подборка ссылок на то, что пригодилось. Оставлю её здесь, в этом посте. Пользуйтесь.
Ссылки:
🤎 сервировочные подносы:…
Сегодня семь лет, как мы вместе. Вспоминаю этот день с улыбкой.
Я была здесь, в этом же месте, в статусе учителя. Он – там, в статусе будущего педагога. Мы ещё не знали, что всё сложится именно так.
Адель связала наш узел любви. Под неё звучал наш первый танец. И вот теперь, семь лет спустя, на нашем пикнике она же звучит на любимом виниле.
Пусть сегодня мы уже не те, что в самый первый день. Мы стали старше, спок…
Мы с Полиной хотим рассказать про нашу большую любовь – тактильные пазлы Животные в лесу от «Счастья внутри».
Они очень реалистичные и пушистые. Это не просто пазлы, а настоящее сенсорное удовольствие. У зверей есть меховые вставки, и это любовь с первого прикосновения. 🤎
Я очень ценю такие пособия. Они отлично тренируют мелкую моторику.
А ещё внутри есть книжка со стихами. Сборка превращается в целую игру.
А ваш…
Полине уже 1 год и 11 месяцев. Ещё чуть-чуть – и 🔡🔡🔡.
А я смотрю на неё и не понимаю, куда делось время. Кажется, только вчера мы привезли её из роддома, а теперь она бегает, болтает и показывает характер.
Моя большая малышка 🤎
С 1 сентября, дорогие мои! 🍂
Мы с Полиной вместе подбирали книги для этой подборки. Спасибо ей за чудесный вкус и любовь к чтению! Как преподаватель, я особенно ценю эти серии – они отлично развивают речь, внимание и мышление у малышей.
🧩 Серия«Умные книжки», Махаон
Ариадна: «Тоненькие развивающие пособия Ольги Земцовой: внимание, память, речь, мышление, первые задания. Подобные книжечки у нас появились примерно с…
Приглашаю вас прожить день со мной!
🤎 на Цветном бульваре
Минус 17 килограмм.🤎
Я уже рассказывала, что ходила на массаж, и недавно закончила курс. Он стал частью моего восстановления, а не просто процедурой в списке.
Но похудение – это не только массаж. Я стала больше ходить, каждый день проходила по 10 тысяч шагов. Иногда это были прогулки в Москве, иногда просто маршруты по делам. Но движение было каждый день.
…
На пикнике у нас появился свой маленький кухонный боец. Полина получила набор детских ножей и, кажется, почувствовала себя настоящим шефом.
И это не первая её кухонная миссия: дома она уже помогала мне с цитрусовыми для нашего лимонада. Так что на пикнике чувствовала себя уверенно.
Пока мы раскладывали еду, она уже тянулась к фруктам. Ножи пластиковые, безопасные, совсем без запаха. Я, честно, переживала меньше, че…
Рецепт идеального лимонада с душой 🍋
Наш план на идеальный выходной – пикник и свой лимонад!
Этим летом мы ловим все самые тёплые деньки и отправляем их в копилку воспоминаний.
Сначала мы подготовили наш «кувшин» – прозрачная сумка выглядит очень круто! Наливаем чистую воду.
Секрет вкуса: сочные апельсины, лимоны и лайм. Их я подготовила заранее дома. Полина уже помогает с нарезкой 🍋😍 Да-да, это так. Расскажу вам …
Дарим9️⃣.0️⃣0️⃣0️⃣ рублей
за подписку и актив🐇
Хотим порадовать вас в преддверии осени!🙂🍁
Условия розыгрыша:
• Подписаться на наши каналы:
@moonstonealbina
@bikshaevaneset
@darlingkamii
@BeautyMyti
@marie_daily
@kalyonova_ariadna
@lyubofka_33
@KristiNilova
@anastilav
@lavienvoyage
@tatyana_kirabaeva
@beautybelkina
• Нажать кнопку "Участвовать"
📎Проявлять актив на наших каналах (реакции, комментарии без использован…
Тот самый пикник из Pinterest🤎
Мы устроили пикник, который так долго откладывали. Красивый, летний, как с картинки. Плед, корзинка, стаканчики.
Этот день стал ещё и частью нашей годовщины. Мы не делали ничего особенного, но вышло очень по-особенному. Потому что рядом были свои.
А главной звездой, конечно, стала Полина. Она бегала по пледу, таскала ягоды и смеялась так, что весь пикник ожил. Кадры получились идеаль…
🔡🔡🔡🔡 ДЕНЬГИ НА КОФЕ 🔡🔡 АКТИВ ☕️
Девочки, спасибо за то, что каждый день делаете этот канал таким живым и уютным! Ваши комментарии читаю с особым удовольствием. 🤎
🤎Хочу, чтобы хорошее настроение было не только в ленте, но и в жизни, поэтому продолжаю радовать вас мини-розыгрышами.
🤎 Победитель: @Karina_knee
Следующая конфетка — ровно через неделю - две. 🤎
Попадаем в список счастливчиков? Ставим➕
— Скрины переводо…
🥰89😍42🔥41
Showing the 12 most recent of 47 posts we hold for @kalyonova_ariadna. 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.
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 8 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Вкус Моментов✨️” (@kalyonova_ariadna), 22,860 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/kalyonova_ariadna.
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.