Film & TV — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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 41 days, net -8,061. 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 96,668–110,489 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
17 Sept 2026, 22:18
100,833
-1,267
15 Sept 2026, 18:57
102,100
+3,837
14 Sept 2026, 00:38
98,263
-1,658
12 Sept 2026, 05:36
99,921
-2,392
9 Sept 2026, 19:41
102,313
-122
6 Sept 2026, 10:36
102,435
+287
4 Sept 2026, 05:20
102,148
+2,152
2 Sept 2026, 18:04
99,996
-1,298
1 Sept 2026, 14:05
101,294
-907
31 Aug 2026, 14:34
102,201
-399
30 Aug 2026, 14:33
102,600
-710
29 Aug 2026, 13:46
103,310
+581
28 Aug 2026, 11:48
102,729
-536
27 Aug 2026, 09:56
103,265
-189
26 Aug 2026, 12:27
103,454
+1,975
25 Aug 2026, 10:22
101,479
-342
24 Aug 2026, 12:11
101,821
-674
22 Aug 2026, 19:58
102,495
-778
21 Aug 2026, 09:56
103,273
+1,363
20 Aug 2026, 12:13
101,910
first reading
Engagement
32 posts held, back to 8 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 95 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
28.6%
avg views ÷ 100,833 subscribers
Avg views / post
28,800
12 posts measured
Reaction rate
3.43%
reactions ÷ views · ER floor
Posts in window
12
of 32 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 19 September 2026
Posts held
32 (8 July 2026 – 19 September 2026)
Views total
345,880
Reactions total
11,855
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
21 Sept 2026, 21:54 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
Photos
552
Videos
174
Links
65
Lifetime counters from Telegram’s own channel header, read 21 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
4m 37s
Average length
46s
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
31,952 reactions across 32 posts, in 14 distinct kinds. The most used accounts for 34.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
11,023
34.5%
👍
10,292
32.2%
🔥
10,174
31.8%
❤🔥
245
0.767%
😍
89
0.279%
💯
46
0.144%
🥰
42
0.131%
👏
13
0.041%
🤩
12
0.038%
💋
8
0.025%
😁
3
0.009%
👎
2
0.006%
🕊
2
0.006%
🍓
1
0.003%
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 32 of the 32 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 31,952 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 8 July 2026 to 19 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.
Advertising
Ad load
3.13%
1 of 32 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
41,000
over 1 measured post
Median views · rest
41,000
over 31 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
2VtzqxGkzg3
1
26 August 2026
26 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 32 most recent posts we hold, published 8 July 2026 to 19 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.
Есть женщины, о которых удивительно мало знают.
Например, Нетти Стивенс.
Она не родилась в научной семье и не пришла в науку совсем молодой. Долгое время работала учительницей и библиотекарем, а потом решила продолжить образование.
В 35 лет она поступила в Стэнфордский университет.
В 42 получила докторскую степень.
И именно после этого периода ее работы стали особенно важны для науки.
В начале XX века Нетти Стив…
Сегодня в 15:00.
SLMN становится доступен для заказа онлайн и в бутиках «Кенгуру».
Онлайн:
Сайт SLMN: slmnworld.com
Сайт «Кенгуру»: keng.ru
Офлайн:
Москва
Центральная ул., 33, корп. 2, д. Покровское
Комсомольский проспект, 23/7
Рублёвское шоссе, 40 к.1
Ленинский проспект, 74
Санкт-Петербург
Большой пр-т, 59
Екатеринбург
ул. 8 Марта, 8Б
Краснодар
Кубанская наб., 39
SLMN.
See you today at 3 PM.
Бывает у вас такое после просмотра фильма, что остается какое-то странное ощущение, будто ты посмотрел не чужую историю, а немного заглянул в свою.
Собрала несколько таких фильмов:
«Милая Фрэнсис» (Frances Ha) 2012, США
Про возраст, когда ты уже вроде бы взрослый человек, но понятия не имеешь, куда все это должно прийти.
«Любовное настроение» (Faa yeung nin wa) 2000, Гонконг
Очень красивый фильм о чувствах, которы…
Хеди Ламарр долго была для Голливуда прежде всего красивой женщиной.
Ее называли одной из самых красивых актрис своего времени, снимали крупным планом, создавали вокруг нее образ загадочной роковой женщины.
А параллельно она занималась совсем другими вещами)
Во время Второй мировой войны Хеди вместе с композитором Джорджем Антейлом разработала систему, которая должна была защищать радиоуправляемые торпеды от перех…
Я - ЗАТМЕНИЕ 🌓
ВО МНЕ СОШЛИСЬ СОЛНЦЕ И ЛУНА
ДУША ИЗ СВЕТА И ТЬМЫ
ОДНО ТЕЛО ЗАСЛОНЯЮЩЕЕ ПЛАМЯ ДРУГОГО
Я ОБРЕЛА СЕБЯ!
Песня доступна - https://zvonko.link/MeMariaZatmenie
Буду благодарна вашей поддержке 🖤
Вы готовы?
4.09 ЗАТМЕНИЕ
Если, вдруг, пропадешь
Я сорвусь из привычек …. ⛓️ …..
Ну а пока ты со мной, этот воздух иначе …⏾⋆.˚
Тут аллегорически заложена вера, вера в то, что Вам отзывается, вера в Вас!
У всех у нас есть свет и тьма, наше Альтер эго…. 𓁹
Найди внутри себя источник энергии и верь в то что помогает ее наполнять 𓋹 этого уже будет достаточно
Есть одна вещь, которую я особенно люблю в танцах - это паузы
Мы привыкли думать, что движение - это действие. А пауза будто бы ничего не происходит)
Но в танце это совсем не так
Иногда именно в момент, когда ты не двигаешься, происходит самое важное: ты слышишь партнера, чувствуешь музыку, понимаешь, куда переносится вес, и только потом делаешь следующий шаг.
Мне кажется, в жизни с женщинами очень похоже
Нам ча…
Есть истории, в которых женщины не были главными героями.
Но без них, возможно, не случилось бы и самой истории)
Мне вообще интересно находить такие сюжеты, когда за большим событием стоят люди, имена которых долго оставались где-то на втором плане
Собрала три фильма как раз об этом:
🎬 «Скрытые фигуры» -три афроамериканские женщины-математика в NASA, чья работа помогала рассчитывать космические полеты в то время,…
Как дать ребёнку качественное образование и при этом не добавлять стресса ни себе, ни ему?
Когда мы выбирали школу для Соломона, мы рассматривали разные варианты и я активно изучила все про онлайн обучение. Могу с уверенностью сказать, что это отличная альтернатива оффлайн школе и опыт наших знакомых это подтверждает!
У нас дети друзей учатся в крутой «Онлайн‑школе №1» нового уровня для 1-11 классов!
Это полноценно…
Сегодня джайв кажется одним из самых узнаваемых спортивных танцев: быстрый, энергичный, с акробатическими элементами и огромным количеством работы ног.
Но начинался он совсем не как конкурсный танец
Его корни в афроамериканской танцевальной культуре США 1930–1940-х годов. Джайв связан со свингом, джиттербагом и другими танцами той эпохи, которые развивались в клубах и танцевальных залах.
Во время Второй мировой во…
SLMN - маленькое дело, созданное с большой любовью и, конечно, вдохновленное моим Соло
Мы так долго ее готовили и наконец можем показать)
SLMN School Collection уже в продаже!
Небольшой тираж, продуманные детали и вещи, которые хочется носить не только в школу.
Ищите коллекцию в магазинах «Кенгуру».
📍Москва:
Комсомольский проспект, 23/7
Рублёвское шоссе, 40 к.1
Ленинский проспект, 74
Очень рада наконец поделить…
🔥337❤327👍310❤🔥19🥰4😍4👏1
Showing the 12 most recent of 32 posts we hold for @Maria_Melnikova23. 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.
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.
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.
“Maryme.23” (@Maria_Melnikova23), 100,833 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Maria_Melnikova23.
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.