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 12 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
25 measurements spanning 90 days, net -271. 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 6,354–6,707 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
5 Nov 2026, 01:31
6,395
-8
2 Nov 2026, 10:46
6,403
-3
30 Oct 2026, 15:31
6,406
-9
27 Oct 2026, 23:50
6,415
+1
25 Oct 2026, 00:46
6,414
-13
21 Oct 2026, 22:58
6,427
-5
18 Oct 2026, 12:18
6,432
-3
15 Oct 2026, 18:29
6,435
-11
12 Oct 2026, 09:00
6,446
-19
5 Oct 2026, 18:57
6,465
-20
27 Sept 2026, 23:37
6,485
-33
18 Sept 2026, 16:57
6,518
-17
14 Sept 2026, 11:01
6,535
-12
11 Sept 2026, 04:21
6,547
-19
6 Sept 2026, 07:15
6,566
-14
2 Sept 2026, 01:44
6,580
-14
29 Aug 2026, 17:44
6,594
-10
26 Aug 2026, 23:03
6,604
-11
24 Aug 2026, 01:12
6,615
-9
20 Aug 2026, 18:53
6,624
first reading
Engagement
24 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 14 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.69%
avg views ÷ 6,395 subscribers
Avg views / post
172
9 posts measured
Reaction rate
8.01%
reactions ÷ views · ER floor
Posts in window
9
of 24 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 5 November 2026
Posts held
24 (4 August 2026 – 5 November 2026)
Views total
1,548
Reactions total
124
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 12:57 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
≈5,860
Videos
≈193
Links
≈933
Lifetime counters from Telegram’s own channel header, read 5 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1m 25s
Average length
21s
Measured directly from 4 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
499 reactions across 23 posts, in 13 distinct kinds. The most used accounts for 30.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
152
30.5%
🔥
147
29.5%
😍
77
15.4%
👏
25
5.01%
🤪
20
4.01%
💘
17
3.41%
🤗
17
3.41%
🤣
16
3.21%
🍾
12
2.40%
💯
8
1.60%
😎
4
0.802%
🕊
3
0.601%
💅
1
0.2%
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 23 of the 24 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 499 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 4 August 2026 to 5 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 9 posts held from the last 30 days (11.1%) 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).
Спектакль, о котором я забыла вам рассказать: сохраняйте, записывайте и берите билеты!
В воскресенье мы впервые побывали в БТК. Большой Театр Кукол на Некрасова. Здесь много детских спектаклей, большой удобный зал, много кукол и классные постановки.
Посмотрите фотографии! 📸
Спектакль длился 40 минут, прошел «на одном дыхании». Много игрушек, дети в восторге. И, конечно же, текст, который знают все:
…Ехали медведи …
НОВАЯ детская игровая
в Санкт-Петербурге 🤹♂️
Где мы вчера были! После сада поехали в новую игровую, которая открылась недалеко от нас. Мы там были три часа! Лёва вышел мокрый, уставший, но такой счастлииивый 🥹
Честно скажу, нам очень понравилось само пространство. ОЧЕНЬ чисто, просторно, красиво. Цвета вокруг – не вырви глаз, спокойные, но в тоже время яркие. Пока здесь мало людей, но вот теперь вы тоже знаете про…
Детские спектакли СПБ: забрать гайд 🎭
Если вдруг вы меня спросите, чем я сегодня занималась, то я с радостью расскажу 😂
Почти два с половиной часа я собирала подборку детских театров Петербурга, так скажем наш ТОП! А потом ещё 2,5 часа я настраивала бот для одной социальной сети… и настроила же! Итого – почти 5 часов безвылазно из-за ноутбука, но зато какой результат) Слава Богу ностальгии по задачам полугодовалой …
Ой девочки, если и залипать в видео роликах, то в рецептах! Это одна из моих любимых тем! Сколько полезного я иногда сохраняю и никогда не готовлю и потом в нужный момент вспоминаю!
Раз 30 видела рецепт, как готовят куриную грудку, сегодня повторила – аромат стоит на весь этаж, наверное, а слюнки уже текут 🤣🤣🤣 Я вам продублирую в своей интерпретации:
Нам понадобится:
• куриное филе
• помидорки черри
• сливочное мас…
Позавчера мы, конечно же, побывали на новом «Шоу воды, огня и света!» в Лахта Холл 🥁
Это было одно из лучших шоу Российского цирка! И отдельно хочу отметить, что в программе практически нет животных: только попугайчики и экзотический зверь бинтуронг. Мы все такое чудо животное видели впервые в жизни!
Во втором действии начинается шоу с иллюзионным аттракционом «СОКОЛ». И это настоящий цирк – все вокруг сидят с откр…
Три пакета мусора = 1 новая игрушка
Наконец мои руки добрались до детского уголка! Было дикое желание все выкинуть и перебрать, но так, конечно же, нельзя. Мы же за разумное родительство или как вообще)))
Откровенно говоря, игрушек у Лёвы не так много. Скорее, есть много маленьких и разбросанных везде деталек, поэтому и формируется образ «вечного неубираемого бардака». Было принято решение: отсортировать игрушки на…
Я недавно наводила порядок в своем шкафчике и поняла, что у меня не так много косметики, сколько парфюма…
Искренне не понимаю, как можно жить с одним ароматом, когда вокруг такое разнообразие! Когда на осень и зиму хочется чего-то «потяжелее», а летом – сладкого и легкого. Для меня парфюм – это эмоция и ты выбираешь ее под свое настроение каждый день. Это же так увлекательно!
Летом у меня появилось два полноразмерн…
Пост поныть. Простите))
То ли это пред-день-рожденьческая апатия, когда находишься в каком-то творческом ступоре и кризисе, то ли отсутствие ожидаемого результата в блоггинге. Первая мысль – пойти проверить ферритин, вторая – отстать от себя.
Очень мне это напоминает себя почти 2 года назад, когда модно было форсить тему «а кем я буду когда выйду из декрета 💅🏻». Помните? Когда про выход в найм, казалось, было даже …
Вопрос чисто из любопытства: вы перешли в другие социальные сети, или остались в телеге? оставляете ли вы тут комментарии/реакции или предпочитаете просто читать?
Можно ответить реакцией.
❤️ - только читаю
😍 - комментирую, ставлю лайк
🔥 - не комментирую, ставлю лайк
👍 - комментирую, не ставлю лайк
💯- захожу сюда редко, телега уже не нравится
👀 - захожу из любопытства
Если вам надоели классические подкасты «Три кота», есть еще серия «Три кота в эфире». Там всего 20 выпусков и чуть другой формат.
Но мои уши выдохнули, хоть что-то новое 😂
❤10😍5
Showing the 12 most recent of 24 posts we hold for @mama_levushki. 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.
Posts edited after publishing
@mama_levushki edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
4 November 2026
Most recent edit
4 November 2026
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.
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.
а если с детьми? @babyfriendly · 27,470 Telegram ranks this channel #17 of 84 here — alongside 83 others — read 19 September 2026
ЛЕГКО В ДЕКРЕТЕ @legko_v_dekrete · 30,869 Telegram ranks this channel #25 of 87 here — alongside 86 others — read 6 September 2026
DOC.POPOVKIN’ы @docpopovkina · 91,188 Telegram ranks this channel #54 of 89 here — alongside 88 others — read 18 August 2026
Наташа, соберись @natashagidlevskaya · 21,376 Telegram ranks this channel #70 of 81 here — alongside 80 others — read 24 September 2026
Playmamka @playmamka · 52,463 Telegram ranks this channel #85 of 87 here — alongside 86 others — read 24 August 2026
This channel appears in 5 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Мама Лёвы” (@mama_levushki), 6,395 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/mama_levushki.
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.