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 65% 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 42 days, net +959. 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 18,527–19,944 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 21:40
19,722
-58
16 Sept 2026, 12:56
19,780
+207
14 Sept 2026, 20:16
19,573
-1
13 Sept 2026, 03:36
19,574
-2
11 Sept 2026, 04:16
19,576
+4
8 Sept 2026, 04:58
19,572
+31
4 Sept 2026, 21:57
19,541
-40
3 Sept 2026, 04:18
19,581
-59
1 Sept 2026, 23:46
19,640
-33
1 Sept 2026, 02:27
19,673
+214
31 Aug 2026, 02:13
19,459
-22
29 Aug 2026, 23:54
19,481
-41
28 Aug 2026, 21:34
19,522
+420
27 Aug 2026, 18:47
19,102
-27
26 Aug 2026, 15:16
19,129
-42
25 Aug 2026, 14:53
19,171
-20
24 Aug 2026, 16:57
19,191
-56
23 Aug 2026, 04:27
19,247
-26
21 Aug 2026, 18:46
19,273
+52
20 Aug 2026, 18:15
19,221
first reading
Engagement
8 posts held, back to 22 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 54 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.11%
avg views ÷ 19,722 subscribers
Avg views / post
1,600
2 posts measured
Reaction rate
3.88%
reactions ÷ views · ER floor
Posts in window
2
of 8 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 2 September 2026
Posts held
8 (22 July 2026 – 2 September 2026)
Views total
3,200
Reactions total
124
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 01:03 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
11m 03s
Average length
1m 35s
Measured directly from 7 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
633 reactions across 8 posts, in 10 distinct kinds. The most used accounts for 21.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
138
21.8%
🥰
136
21.5%
🔥
131
20.7%
👍
129
20.4%
❤🔥
33
5.21%
😍
23
3.63%
custom 5217495944416742899
22
3.48%
💯
10
1.58%
🎉
9
1.42%
🤩
2
0.316%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 8 of the 8 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 633 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 22 July 2026 to 2 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.
🎪 Есть места, которые становятся семейной традицией. Для нас таким стал «Цирк Чудес».
Ого! На нашем счету уже третье или четвертое шоу. В этот раз пришли на «Кота в сапогах» и градус восторга только растет.
Почему возвращаемся?
• Это удивительное чувство, когда идешь на знакомое представление не за новизной, а именно за этой атмосферой. Каждый раз трогательно настолько, что взрослые тайком утирают слезы.
• Зажигат…
В выходные были в ресторане «Зарядье»
Я уже было проговорила заказ другого салата, подумав: ну сколько можно есть эти баклажаны?, но вовремя остановилась. И как же хорошо, что не передумала! 🔝 Салат оказался просто космосом.
На горячее у меня был Шницель. Он огромный, невероятно вкусный, но осилить его целиком я так и не смогла.))
Муж с Лёшей тоже остались сыты и довольны своим Мясным салатом, Куриной грудкой, Биф…
Кажется, я поняла Печкина. Когда у тебя наконец-то появился велосипед, то это, действительно, счастье!)))
Свой Benort я нашла на ВелоСклад.ру и до сих пор не могу перестать улыбаться. Во-первых, он нереально легкий. Во-вторых, гарантия на раму 10 лет! У других брендов обычно 3–5 лет, что тоже немало.
Заказ я сделала онлайн, забирать поехали в сам магазин. Ребята забрали всю мою тревожность по поводу покупки. Беспла…
Развлечения до самого закрытия: идеальный выходной с детьми.
Вчера мы сорвались в Monkey Park всей семьей и зависли там буквально до последнего звонка. Честно говоря, детей пришлось выносить, они носились, прыгали, визжали и просто отказывались уходить! Напомню, старшим 11-12 лет.))
Пока старшие покоряют скалодром и полосу препятствий, у крох своя отдельная вселенная. Идеальная зона с песочницей, безопасными горкам…
Всем привет!☀️
Если вы не понимаете как себя чувствует ребёнок в школе, надеюсь мой гайд немного подскажет и всем станет чуточку проще.
Я уже писала, что у Алёши показатель в Раке, а у Мартина в Стрельце. Из них двоих, младшему гораздо проще адаптироваться и чувствовать себя комфортно. И дело далеко не в отсутствии сада у старшего, а в восприятии и внутреннем принятии окружающих. У сына замечательный класс и надеюс…
Кидзания – это целый город со своей жизнью, экономикой и настоящими профессиями. Это восторг!
Здесь не парк аттракционов, а настоящий симулятор взрослой жизни. Здесь можно освоить 100+ профессий, получить зарплату в местной валюте «кидзо» и потратить её... или накопить на что-то большее. Алёша решил не тратить заработанные, а копить на какую-то дорогую покупку, т.е. мы вернемся.)))
Старшие по три раза ходили работа…
Всем привет! ☀️
В субботу спланировали обед на летней террасе «Лилианс кафе» и поняли, почему там не бывает свободных мест. Люди постоянно сменялись, но поток не иссякал, а это главный знак того, что место проверенное и здесь вкусно.
Делимся вкусовыми предпочтениями:
🥗 Салаты:
• Мой фаворит салат из баклажанов. Я не могла заказать другой.
• Муж и Алёша оценили «от шефа», свежо и сытно.
🍜 Суп:
• У мужа был рамен с…
Парк развлечений «Сказка» наш эмоциональный перезапуск!
Вчера мы с детьми провели потрясающий день! Мы не просто развлекались, а получили настоящую эмоциональную разрядку. Прокричались на аттракционах, просмеялись от души и испытали облегчение вместе со здоровой усталостью.
Я часто рекомендую родителям экстрим, как способ снять напряжение, которое может проявляться в авторитарном поведении или давлении на детей. Но…
🥰23😍18❤17💯10👍9❤🔥8🎉3🔥3
Showing the 8 most recent of 8 posts we hold for @ay_marina_i_2sina. 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
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Ай_Марина и ДВА сына” (@ay_marina_i_2sina), 19,722 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ay_marina_i_2sina.
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.
