Parenting & family — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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 the other topics.
Growth
61 measurements spanning 93 days, net -704. 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 32,738–33,654 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
7 Nov 2026, 22:39
32,844
-13
6 Nov 2026, 22:19
32,857
-9
5 Nov 2026, 22:46
32,866
-5
4 Nov 2026, 23:15
32,871
-9
3 Nov 2026, 21:49
32,880
-14
2 Nov 2026, 19:05
32,894
-11
1 Nov 2026, 21:17
32,905
-7
31 Oct 2026, 22:29
32,912
-19
31 Oct 2026, 01:30
32,931
-15
30 Oct 2026, 01:31
32,946
-5
29 Oct 2026, 04:39
32,951
-6
27 Oct 2026, 23:51
32,957
-10
26 Oct 2026, 22:15
32,967
-10
25 Oct 2026, 22:16
32,977
-5
24 Oct 2026, 22:08
32,982
-12
23 Oct 2026, 21:58
32,994
-8
22 Oct 2026, 20:49
33,002
-19
21 Oct 2026, 15:35
33,021
-12
20 Oct 2026, 14:38
33,033
-14
19 Oct 2026, 17:18
33,047
first reading
Engagement
94 posts held, back to 27 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 166 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.1%
avg views ÷ 32,844 subscribers
Avg views / post
3,630
25 posts measured
Reaction rate
2.52%
reactions ÷ views · ER floor
Posts in window
25
of 94 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 6 November 2026
Posts held
94 (27 July 2026 – 6 November 2026)
Views total
90,800
Reactions total
2,286
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 19:16 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
36m 26s
Average length
42s
Measured directly from 52 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
9,549 reactions across 92 posts, in 25 distinct kinds. The most used accounts for 60.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5,817
60.9%
🔥
1,922
20.1%
👍
417
4.37%
🤣
297
3.11%
😁
280
2.93%
🎉
172
1.80%
🥰
123
1.29%
😍
101
1.06%
🙏
101
1.06%
💯
63
0.66%
❤🔥
58
0.607%
🏆
50
0.524%
👏
47
0.492%
🤪
30
0.314%
🕊
19
0.199%
🤔
19
0.199%
🤩
10
0.105%
🤗
8
0.084%
💔
7
0.073%
🗿
2
0.021%
5 further kinds
6
0.063%
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 92 of the 94 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 9,549 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 94 most recent posts we hold, published 27 July 2026 to 6 November 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
14.9%
14 of 94 posts carry an ad marker
Regulatory tokens
14
posts carrying an erid · 13 distinct tokens
Median views · ads
3,720
over 14 measured posts
Median views · rest
3,750
over 78 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. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VtzqwCnvqR
2
15 August 2026
30 September 2026
2VSb5woiRGv
1
28 October 2026
28 October 2026
2VtzquYX9jZ
1
23 August 2026
23 August 2026
2VtzqvEYiQc
1
4 September 2026
4 September 2026
2VtzqvS1nyr
1
8 September 2026
8 September 2026
2VtzqvTLSCm
1
14 October 2026
14 October 2026
2Vtzqvni3nJ
1
1 August 2026
1 August 2026
2Vtzqw3bcpc
1
28 September 2026
28 September 2026
2VtzqwCsFS2
1
29 July 2026
29 July 2026
2VtzqwEPwKy
1
10 August 2026
10 August 2026
2VtzqwbCSDH
1
7 August 2026
7 August 2026
2VtzqwcLcEa
1
30 October 2026
30 October 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. 1 further token is held for this entry and not listed here.
Measured over the 94 most recent posts we hold, published 27 July 2026 to 6 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 25 posts held from the last 30 days (8.00%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Мои старшие девочки уже в 9 классе, а значит, впереди ОГЭ, подготовка к экзаменам и ещё больше ответственности за учёбу 🙈
Поэтому для меня особенно важно, чтобы они не просто получали хорошие оценки, но и действительно разбирались в предметах, чувствовали себя уверенно и не теряли интерес к учёбе!
Уже много лет мои дочери занимаются в онлайн-школе Skysmart. Я очень довольна их прогрессом, а самое главное – девочки …
Я долгое время заблуждалась в собственных представлениях о себе…😢
И только после ДНК-теста MyGenetics узнала то, о чём раньше даже не подозревала!
Ведь обычные анализы показывают, что происходит с организмом сейчас, а ДНК-тест позволяет заглянуть глубже и узнать о генетических особенностях, которые могут влиять на обмен веществ, усвоение отдельных компонентов пищи и витаминов 💊
И самое ценное - не просто узнать о …
Я не верю в семьи, в которых никогда не ссорятся. Верю в семьи, где научились ссориться так, чтобы не разрушать отношения!
За 20 лет вместе мы, конечно, проходили разные периоды. В первый год наши конфликты были на грани абсурда (со стороны мужа, конечно 😂).
Чего только стоили его попытки доказать мне, что моя красота не признана на уровне моделей! Для убедительности он даже приводил аналогии с автомобилями: я — «М…
НАША СЕМЕЙНАЯ ТРАДИЦИЯ 🌊💚
Дважды в год мы собираемся все вместе: одна большая вилла, человек 20 родственников, ещё и друзья приезжают. Вокруг смех, шум, запахи вкусной еды и игры до полуночи – это наш маленький семейный фестиваль
Однажды мама мужа поделилась со мной секретом таких тёплых встреч: «Чем дальше живёшь от родственников, тем дружнее»
Сначала звучит парадоксально, но в нашей семье это работает. Расстояни…
«Крем реально помогает», «Буду брать постоянно», «Кожа выглядит свежее» — и это лишь часть ваших отзывов 💌
Всё это о нашем гель-креме для век с пептидом, который увлажняет кожу, повышает её упругость и сокращает видимость мелких морщинок
Листайте карусель, чтобы познакомиться с ним поближе⬆️
⚡️И приятный бонус: сейчас на Wildberries его можно приобрести с выгодой до 50%⚡️
➡️заказать⬅️
Не упустите возможность по…
Подборка для семейного киновечера 🍿
Эти 5 фильмов дадут повод поговорить с детьми о мире, научных открытиях, доброте и взаимопомощи
А какой фильм вы бы посоветовали посмотреть вместе с детьми? Делитесь в комментариях, пополним список 👇🏻
Дегликан Р – настоящий защитник нашей красоты и молодости! 💪🏻
Когда мы наслаждаемся жареным, сладким или жирным, в организме образуются продукты усиленной гликации. Они "склеивают" наши белки, включая коллаген и эластин. Результат?
❕Морщины, потеря упругости кожи, проблемы с сосудами и зрением.
Дегликан, в основе которого лежит супероксиддисмутаза, разрывает эту связь и блокирует свободные радикалы. А розмариновая…
А дети вообще могут быть нам друзьями? Или родители должны оставаться родителями?
Помню, когда девчонки были маленькими, лет по 5–7, мы частенько называли их подружками 💚
И однажды кто-то написал мне под видео: «Какие же они вам подружки?! Вы родители, вы должны быть авторитетом!». Не скажу, что тогда я согласилась. Но со временем мы действительно перестали называть девочек подружками.
И знаете почему? Чем старше …
Только что закончила. 22 минуты, ноги не чувствую, настроение — десять из десяти.
Это тренировка из FitStars, и в ноябре навсегда стоит 13 990 ₽.
В честь Дня Рождения FitStars и Чёрной пятницы скидка 75% на все тарифы только до конца ноября. Доступ Навсегда 13 990 ₽ с еженедельными обновлениями по минимальной цене.
Успевайте оформить его со скидкой 75% по промокоду и сразу получайте гарантированный подарок - лимити…
Мои дети называют меня в шутку БАБКОЙ ЁЖКОЙ – потому что я им то витамины, то травки какие-то, то масла предлагаю 🙃
А кто знает, может у меня в роду есть знахарки и травницы! Недавно созванивались с компанией, которая составляет генеалогическое дерево, будем узнавать свой род. Очень для нас с мужем это трепетно и значимо 🙏🏻
Исследование будет длиться 16 месяцев! Мы только начали этот путь, поэтому контактом смогу п…
🔥52❤46👍9
Showing the 12 most recent of 94 posts we hold for @valentina_magerya. 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.
Mentions
Named by 2 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Dr.Shefova / Доктор Шефова @dr_shefova · 69,312#82
Гомеопатический Центр Краснодара @gomeopat23 · 1,083#83
Read from Telegram’s recommendation API, most recently 4 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Магеря Чистка @mageryachistka · 155,572 Telegram ranks this channel #2 of 85 here — alongside 84 others — read 12 August 2026
Эндокринолог Магеря @magerya · 285,139 Telegram ranks this channel #2 of 86 here — alongside 85 others — read 10 August 2026
Жизнивек @ziznivek · 19,987 Telegram ranks this channel #3 of 71 here — alongside 70 others — read 28 September 2026
Марина Корпан Официальный канал @korpan · 40,484 Telegram ranks this channel #58 of 84 here — alongside 83 others — read 30 August 2026
This channel appears in 4 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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Валентина Магеря” (@valentina_magerya), 32,844 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/valentina_magerya.
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.