Other / unclassifiable — 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 22 August 2026 and assigned it the closest of 31 fixed categories, at 36% 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
63 measurements spanning 93 days, net -3,696. 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 94,278–99,082 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
8 Nov 2026, 13:05
94,832
-50
7 Nov 2026, 09:27
94,882
-31
6 Nov 2026, 11:16
94,913
-46
5 Nov 2026, 09:25
94,959
-50
4 Nov 2026, 06:39
95,009
-69
3 Nov 2026, 08:07
95,078
-40
2 Nov 2026, 11:28
95,118
-50
1 Nov 2026, 14:27
95,168
-34
31 Oct 2026, 11:28
95,202
-32
30 Oct 2026, 14:05
95,234
-22
29 Oct 2026, 13:58
95,256
-50
28 Oct 2026, 11:29
95,306
-41
27 Oct 2026, 12:31
95,347
-15
26 Oct 2026, 12:27
95,362
-54
25 Oct 2026, 10:46
95,416
-41
24 Oct 2026, 11:28
95,457
-38
23 Oct 2026, 08:07
95,495
-55
22 Oct 2026, 06:57
95,550
-49
20 Oct 2026, 22:56
95,599
-41
19 Oct 2026, 23:50
95,640
first reading
Engagement
140 posts held, back to 21 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 197 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.98%
avg views ÷ 94,832 subscribers
Avg views / post
9,460
31 posts measured
Reaction rate
1.09%
reactions ÷ views · ER floor
Posts in window
31
of 140 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 7 November 2026
Posts held
140 (21 July 2026 – 7 November 2026)
Views total
293,320
Reactions total
3,201
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 10:52 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
31m 39s
Average length
35s
Measured directly from 55 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
14,813 reactions across 140 posts, in 11 distinct kinds. The most used accounts for 55.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
8,275
55.9%
😁
2,252
15.2%
🔥
2,153
14.5%
👍
702
4.74%
💯
654
4.42%
😭
333
2.25%
🎉
218
1.47%
👏
94
0.635%
💔
77
0.52%
🥰
46
0.311%
🤗
9
0.061%
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 140 of the 140 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 14,813 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 140 most recent posts we hold, published 21 July 2026 to 7 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.
Telegram Stars
Stars received
4
across the posts below
Posts paid on
4
of 140 we hold a reading for · 3%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mama_bond007. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 140 most recent posts we hold for this entry, published 21 July 2026 to 7 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Advertising
Ad load
3.57%
5 of 140 posts carry an ad marker
Regulatory tokens
5
posts carrying an erid · 5 distinct tokens
Median views · ads
8,100
over 5 measured posts
Median views · rest
9,750
over 135 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
2SDnjeQca2f
1
21 July 2026
21 July 2026
2SDnjf24GRy
1
28 August 2026
28 August 2026
2VtzquX3pW8
1
21 September 2026
21 September 2026
2VtzqvgmKNn
1
3 November 2026
3 November 2026
2Vtzqwy3qes
1
24 August 2026
24 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 140 most recent posts we hold, published 21 July 2026 to 7 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: 13 of 31 posts held from the last 30 days (41.9%) 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).
Знаете, я тревожный человек. И самое интересное, что я не всегда была такой. Даже не могу сказать, в какой момент это изменилось.
И поверьте, тревожным людям живётся гораздо сложнее, чем может казаться со стороны.
Иногда ты даже не можешь объяснить, что с тобой происходит. Почему переживаешь, почему прокручиваешь в голове десятки сценариев, почему можешь накрутить себя буквально до состояния, близкого к панике.
И …
Девочки, обещала показать новую партию заказов и рассказать, где всё это беру. Ну что, показываю)) Сегодня у нас зимние комбинезоны, детские вещи, игрушки и ещё много всего.
Всё это я заказала через базу поставщиков - в этот раз уже сама, без Ксюши. В ней контакты более 200 поставщиков, у которых можно покупать вещи с очень большой скидкой. Поэтому, если вы ещё думаете, нужна ли вам база, я скажу: нужна. Можно заказ…
Мои родители вместе уже 47 лет❤️
Когда они познакомились, никто не рассказывал, какими нужно быть в отношениях, какие базовые потребности есть у мужчин и женщин и как правильно их закрывать.
Не было психологов, книг и курсов об отношениях. Но каким-то образом они всё это знали. Как будто подсознательно. А может, просто чувствовали друг друга.
Мама всегда чувствовала себя ЗА МУЖЕМ. Знала, что она под защитой, что ряд…
Девочки, я всё-таки нашла причину пользоваться МЭШ))
Помните, в августе я призналась, что так и не установила приложение? Прочитала ваши комментарии и решила попробовать.
Недавно мы с Мишей разбирали его контрольную. Открыли её в МЭШ - там всё видно: какие были задания, что написал Миша и какую оценку получил. Он посмотрел, где ошибся, и мы обсудили, что ему стоит повторить.
Оказывается, теперь контрольные и прове…
Девочки, обещала показать, что ещё заказала на базе поставщиков, - показываю))
Моя подруга привезла мне вещи на примерку. В этой базе больше 150 поставщиков по всей России, так что выбор там, мягко говоря, немаленький 😅
Цены сразу написала на фото. Смотрите, какой образ вам больше нравится: серый костюм с юбкой, шоколадный, красный комбинезон или белый комплект?
Если что-то захотите заказать, по Москве доставка де…
Девочки, привет ❤️
Частная школа или государственная? Где действительно лучше учат детей? 🤔
Недавно разговорились с соседкой на детской площадке. Её ребёнок учится в частной школе, а ребёнок её знакомой - в государственной.
И вот они как-то сравнили знания детей и обнаружили, что между ними просто огромная пропасть! Причём в пользу частной школы.
Но потом мы с соседкой пришли к выводу, что очень многое зависит и о…
Ну что, каникулы подошли к концу))
Главное - дети выспались! Мы особо никуда не ездили, да и у меня нет привычки на каждые каникулы планировать театры, музеи и развлечения. Иногда хочется просто отдохнуть и ничего не делать. Сегодня на один день отвезли детей к папе.
А вот со вчерашнего дня поведение некоторых оставляет желать лучшего 🙈
Я искренне считаю, что мои дети хорошо воспитаны, и часто слышу это от окружающ…
Я всегда думала, что травля в сети - это про чужих детей. Пока не прочитала это исследование
Мы привыкли считать, что интернет - это отдельная территория, где дети «просто болтают». Что настоящие проблемы - в школе, во дворе, в реальной жизни. А там, за экраном, вроде бы ничего серьёзного не происходит.
А потом я наткнулась на исследование VK: проанализировали больше 450 тысяч оскорбительных сообщений. И выяснилось…
Девочки привет ❤️
Кажется, эти вязаные комбинезоны - моя главная находка этой осени. Удобные, универсальные и стоят 1500 ₽ 👀
Мы с девчонками примерили их в разных цветах. Фигуры у всех разные, а сидят комбинезоны классно на каждой!
Ношу их как угодно: со свитшотом, с курткой, да с чем угодно… А с рубашками в клетку, которых у меня не сосчитать, вообще отдельная любовь 😍
А теперь главное: где брала? Все костюмы, ко…
🎃 Ну что, девочки, как вы относитесь к Хэллоуину?
Вообще, история у этого праздника довольно интересная. Хэллоуин появился много веков назад у древних кельтов, которые верили, что в ночь на 1 ноября духи умерших могут возвращаться в мир живых. Люди переодевались в страшные костюмы, чтобы отпугнуть злых духов, а со временем всё это превратилось в весёлый праздник с костюмами и конфетами.
Для моих детей Хэллоуин - эт…
❤39😭5💔4
Showing the 12 most recent of 140 posts we hold for @mama_bond007. 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_bond007 edited 6 posts 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
25 August 2026
Most recent edit
11 October 2026
Posts recorded as deleted after publishing
We recorded 11 posts on @mama_bond007 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
22 August 2026
Most recent seen missing
25 October 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
2
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
Read from Telegram’s recommendation API, most recently 16 August 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.
mom_lena @mom_lena_channel · 21,936 Telegram ranks this channel #1 of 80 here — alongside 79 others — read 21 September 2026
Елена Саакова @saakova_elena · 25,016 Telegram ranks this channel #1 of 59 here — alongside 58 others — read 14 September 2026
Блог Alisa_Lazarenko @Alisa_Lazarenko · 36,631 Telegram ranks this channel #1 of 76 here — alongside 75 others — read 1 September 2026
Chaadaeva Maria @chaadaevamaria · 42,955 Telegram ranks this channel #1 of 66 here — alongside 65 others — read 28 August 2026
Kvadromama @marinka_kvadromama · 47,028 Telegram ranks this channel #1 of 64 here — alongside 63 others — read 27 August 2026
NEBLOGER_888_ @nebloger_888_irina · 23,480 Telegram ranks this channel #2 of 65 here — alongside 64 others — read 17 September 2026
Nasty Tasty party @nastia_tasty · 31,327 Telegram ranks this channel #2 of 71 here — alongside 70 others — read 6 September 2026
Томаблум и по-бырику @bloom_tomabloom · 30,826 Telegram ranks this channel #2 of 64 here — alongside 63 others — read 6 September 2026
Lyalya_frutti @lyalya_frutti_channel · 51,808 Telegram ranks this channel #2 of 64 here — alongside 63 others — read 24 August 2026
Ksu na samokate @ksunasamokate · 231,130 Telegram ranks this channel #2 of 55 here — alongside 54 others — read 22 August 2026
Варенички @varenikivtelege · 29,843 Telegram ranks this channel #3 of 57 here — alongside 56 others — read 7 September 2026
Mamalapatundelya @mamalapatundel · 31,975 Telegram ranks this channel #3 of 56 here — alongside 55 others — read 5 September 2026
❤️🔥istinaglagolova Life❤️🔥 @istinaglagolova · 41,235 Telegram ranks this channel #3 of 75 here — alongside 74 others — read 29 August 2026
Karneeva_elena @karneevaElena · 45,854 Telegram ranks this channel #3 of 75 here — alongside 74 others — read 27 August 2026
Ma_linochka @ma_linochkaa · 22,262 Telegram ranks this channel #4 of 71 here — alongside 70 others — read 21 September 2026
kattrin @kattrin_official · 27,542 Telegram ranks this channel #4 of 70 here — alongside 69 others — read 10 September 2026
МамТань @tatipetrishcheva17 · 33,745 Telegram ranks this channel #4 of 63 here — alongside 62 others — read 2 September 2026
maria_komkofa @mariakomkofa · 51,052 Telegram ranks this channel #4 of 78 here — alongside 77 others — read 25 August 2026
vasilkova_maria @vasilkova_maria · 94,838 Telegram ranks this channel #4 of 64 here — alongside 63 others — read 16 August 2026
Кристина Русинович @russinovich_kristina · 129,761 Telegram ranks this channel #5 of 66 here — alongside 65 others — read 6 September 2026
Oksanabooka @oksanabookafamily · 38,775 Telegram ranks this channel #5 of 29 here — alongside 28 others — read 30 August 2026
Тоня Сальникова @pptonya · 111,658 Telegram ranks this channel #5 of 70 here — alongside 69 others — read 14 August 2026
nataly_frol @nataly_frol · 20,127 Telegram ranks this channel #6 of 56 here — alongside 55 others — read 27 September 2026
Didenko.katerina @provizordidenko · 56,314 Telegram ranks this channel #6 of 63 here — alongside 62 others — read 23 August 2026
This channel appears in 88 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“Блог Mama_bond007” (@mama_bond007), 94,832 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/mama_bond007.
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.