Parenting & family — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 75% 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
50 measurements spanning 82 days, net -5,107. 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 269,727–301,167 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 50
Measured (UTC)
Subscribers
Change
27 Oct 2026, 11:46
291,525
-767
26 Oct 2026, 12:04
292,292
-1,301
25 Oct 2026, 11:56
293,593
-1,291
24 Oct 2026, 11:30
294,884
+14,572
23 Oct 2026, 08:59
280,312
+6,957
22 Oct 2026, 06:00
273,355
-7,941
21 Oct 2026, 02:10
281,296
-4,788
19 Oct 2026, 21:36
286,084
-1,015
19 Oct 2026, 00:57
287,099
-638
18 Oct 2026, 02:09
287,737
-419
16 Oct 2026, 23:55
288,156
-790
16 Oct 2026, 00:46
288,946
-2,245
14 Oct 2026, 23:36
291,191
+7,345
13 Oct 2026, 19:57
283,846
-3,172
10 Oct 2026, 07:19
287,018
-5,203
5 Oct 2026, 23:39
292,221
+1,654
30 Sept 2026, 18:56
290,567
-1,362
18 Sept 2026, 07:18
291,929
+1,287
16 Sept 2026, 00:38
290,642
+95
14 Sept 2026, 06:37
290,547
first reading
Engagement
54 posts held, back to 17 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 170 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
42.7%
avg views ÷ 291,525 subscribers
Avg views / post
124,000
11 posts measured
Reaction rate
0.965%
reactions ÷ views · ER floor
Posts in window
11
of 54 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 25 October 2026
Posts held
54 (17 July 2026 – 25 October 2026)
Views total
1,368,300
Reactions total
13,207
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Oct 2026, 04:44 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
10m 59s
Average length
37s
Measured directly from 18 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
89,567 reactions across 54 posts, in 29 distinct kinds. The most used accounts for 29.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
26,153
29.2%
🔥
14,052
15.7%
👍
13,580
15.2%
🎉
10,658
11.9%
👏
5,559
6.21%
🤩
4,623
5.16%
❤🔥
3,288
3.67%
🥰
3,183
3.55%
💯
3,110
3.47%
😍
2,961
3.31%
😁
1,070
1.19%
💘
183
0.204%
🙏
170
0.19%
🏆
169
0.189%
👀
160
0.179%
🤗
151
0.169%
😘
115
0.128%
🤮
80
0.089%
💩
76
0.085%
🤬
72
0.08%
9 further kinds
154
0.172%
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 54 of the 54 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 89,567 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 54 most recent posts we hold, published 17 July 2026 to 25 October 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
5.56%
3 of 54 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
90,100
over 3 measured posts
Median views · rest
143,000
over 51 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
2W5zFJSr86D
1
28 July 2026
28 July 2026
2W5zFJevALy
1
23 September 2026
23 September 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 54 most recent posts we hold, published 17 July 2026 to 25 October 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.
Выходное утро. Все дома и я снова убеждаюсь: у меня не трое детей, а три разные вселенные.
Пока один читает, двое других на кухне спорят, кто помоет посуду.
Но стоит одному из них взять какой-нибудь гаджет - начнется схватка, кому нужнее, важнее, «мне только посмотреть».
В таком многообразии звуков и движухи я не могу работать, тк сосредоточиться практически не возможно.
Поэтому рефлексирую, записываю тезисы по ра…
Наши прогулки с дочкой не проходят бесследно🍂 - игры, беседы, а ещё и контент …, который сам себя не сделает.
Новый год наступит через 72 дня.
Наслаждаемся золотой осенью, прекрасной погодой и не теряем надежду, что разум восторжествует.
Очень хочу фотосессию с детьми 🤎 надеюсь, что получится спланировать и реализовать.
#мысливслух #многомама #семья #дети
INTERCHARM: 4 дня красоты, инноваций и новых возможностей для брендов 💄
Я посетила 33-ю выставку InterCHARM в Москве — и, кажется, даже четырёх дней недостаточно, чтобы обойти всё!
Что впечатляет?
🔹 Более 60 000 м² — масштабная площадка для знакомства с индустрией красоты.
🔹 16 км бьюти-маршрута — косметика, уходовые средства, парфюмерия, профессиональное оборудование и инновационные разработки.
🔹 Международная …
Вышла моя статья в журнале по самореализации и саморазвитии The Balance рекомендую почитать тем, кто в бизнесе (продает свои товары или услуги).
#бизнес #психология #услуги #самореализация #саморазвитие #маркетинг #иринаберман
«Мама, не уходи!» Почему одним детям легко отпускать маму, а другим — даже пять минут разлуки кажутся катастрофой? ❤️
Дело может быть не в капризах, избалованности или характере. На то, как ребёнок переживает разлуку, реагирует на близость и выстраивает отношения с окружающими, влияет в том числе тип привязанности.
Привязанность — это эмоциональная связь ребёнка со значимым взрослым, который даёт ему чувство безопа…
Совсем недавно я делала анонс выхода фильма о защите рукокрылых.
Теперь вы можете увидеть интереснейший формат, который развеет все мифы о летучих мышах.
Наша команда отправилась в экспедицию, чтобы увидеть, снять и пообщаться с учеными на эту тему.
⏰Буквально 13 минут просмотра и ваши стереотипы развеются.
Фильм уже показали на РГВК Дагестан, в школах г. Москвы, эту новость опубликовали в крупных экологических паб…
Думайте о хорошем и тогда ваш мозг будет генерить приятные и продуктивные мысли.
P.S. вроде, многие это знают, но продолжают сгущать тучи над ситуацией - но с такими психо-эмоциональными качелями - к психологу или психотерапевту! не игнорируйте! Осень 🍂
#психология #саморазвитие #дисциплина #мысливслух #женскоесообщество
Мы приняли участие в «Добром забеге» всей семьёй 🏃♀️❤️
И я всё больше убеждаюсь: семейный спорт — это не обязательно про достижения и медали. В первую очередь — про привычку быть активными вместе.
Когда дети видят, что мама сама надевает кроссовки, выходит на дистанцию и получает удовольствие от движения, спорт перестаёт быть для них «обязательной физкультурой» и становится частью обычной жизни.
Участие в таких з…
❤672🔥273🎉258👍249❤🔥236🤩95💯80😍43
Showing the 12 most recent of 54 posts we hold for @berman_life. 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 4 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 27 October 2026 — this
entry's latest reading, not the date you are reading this.
“Современная мама” (@berman_life), 291,525 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/berman_life.
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.