Other / unclassifiable — 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 19 September 2026 and assigned it the closest of 31 fixed categories, at 63% 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
8 measurements spanning 41 days, net -19. 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 976–1,001 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 06:57
979
-4
9 Sept 2026, 21:01
983
-6
30 Aug 2026, 18:13
989
-3
23 Aug 2026, 05:53
992
-3
15 Aug 2026, 12:09
995
-1
8 Aug 2026, 05:10
996
-2
8 Aug 2026, 00:34
998
no change
7 Aug 2026, 13:58
998
first reading
Engagement
10 posts held, back to 16 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 10 posts for this entry, the most recent from 24 December 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
13s
Average length
13s
Measured directly from 1 video 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
187 reactions across 10 posts, in 7 distinct kinds. The most used accounts for 38.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
71
38.0%
❤🔥
39
20.9%
🔥
33
17.6%
👍
29
15.5%
😍
9
4.81%
👌
5
2.67%
🌚
1
0.535%
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 10 of the 10 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 187 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 16 December 2025 to 24 December 2025, 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
20.0%
2 of 10 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
176
over 2 measured posts
Median views · rest
172
over 8 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
2VtzqvncakJ
1
22 December 2025
22 December 2025
2VtzqxM5pqY
1
18 December 2025
18 December 2025
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 10 most recent posts we hold, published 16 December 2025 to 24 December 2025. 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.
Пока все выбирают подарки детям, мы дарим подарки мамам! Ведь Новый год не только для детей, а немножко волшебства крайне необходимо каждой из нас.
Для полного счастья в эту бесснежную зиму не хватает горячего ароматного глинтвейна, разлитого в милейшие стаканчики с героями детства.
Поэтому срочно ищем двух мам, подписанных на каналы
Дома не сидится ✈️
Маша и три медведя 🐻
Одна из вас получит пару стаканчиков с Т…
А вы знали что специалисты по волосам рекомендуют периодически менять шампуни ?
Я это делаю не по рекомендации, а потому что люблю что-то новенькое 😁
Вообще волосы имеют свойство менять свое состояние, это связано с сезоном, стрессом, окрашиванием, возрастом, гормонами и другими факторами.
У меня есть подруга парикмахер и она посоветовала попробовать мне мягкий 11I PROFESSIONAL shampoo, который подходит для ежедне…
🦕 Почему дети так любят динозавров ?
У меня вообще отсутствует ответ на этот вопрос, но динозавры сейчас у Алисы в фаворитах. Наверно любовь случилась после того как мы сходили в Музеон, там была площадка форума «Москва 2030». Там были огромные фигуры, которые двигались и издавали звуки. Честно сказать даже взрослым было интересно.
После этого в нашем доме начали появляться книги про динозавров, пижамы с динозаврам…
Что же выберет Алиса ?
⛄️Уже завтра в саду Новогодний утренник и я до сих пор не знаю какое платье наденет Алиса. Да-да, так бывает. Я хочу чтобы она надела красное платье из пайеток , а она хочет платье Авроры.
⛄️Хорошо хоть с туфельками определились сразу. Увидели их на канале у бренда и сразу влюбились. Они подходят под любой наряд.
🤩Лаковые туфли от Bless box c кокетливым бантиком сбоку и мелкими блестками, ко…
✌Наконец-то этот день настал и мы сходили на «Мега Щенки: Тяф-тяф Ёлка»
С самого утра Алиса каждые 5 минут подбегала и говорила «ну что? Давай одеваться? Пора на щенков?»
Спойлерить не буду. Скажу только что Алиса всё представление неотрывно смотрела. Были песни, танцы, интерактив с залом. Дети подбегали к сцене, кидали снежки, танцевали, было очень здорово и весело. Для любителей щенков однозначно рекомендую к пос…
🥺Гринч всё-таки украл подарки 😄
Бывают такие дни в месяце, когда ну я просто бессильна перед сладостями. Ну и я не удержалась и съела подарки. Хочу резюмировать это было очень вкусно.
Поэтому я сделала вторую попытку и заказала ещё один набор от Настин-Сластин. В этот раз выбрала набор с чаем и двумя вкуснейшими сгущенками : кокосовой и ореховой. Выглядит очень достойно - готовый подарок.
🎁Обещаю, что в этот раз п…
👍Ходим с Алисой наряжаем ёлки.
Вот в подъезде украсили. Заодно выгуляли новые угги от Bless box такие они прям стильнючие, я бы сама в таких ходила. Получился образ как из американского кино.
👍Они не только круто выглядят , но и очень теплые и удобные. Внутри натуральный мех. Для меня сейчас один из важных критериев при выборе обуви , чтобы Алиса могла сама их обуть . Она в саду полностью самостоятельно одевается и…
🌟Я же должна сиять ? И не только на Новый год, но и всегда !
Взяла на пробу несколько уходовых средств от Faberlic
- Тканевая маска для лица на основе чистого золота и мёда- база для идеальной кожи.
- Патчи тоже с золотом - чтобы первого января выглядеть на миллион
- Ну и конечно парфюмированный крем-баттер, который придаст лёгкое благородное сияние.
🎄 А вы готовы сиять ?
Говяжьи хвосты в духовке
Как-то увидела в ресторане томленые говяжьи хвосты и очень скептически отнеслась к этому блюду. Мне сказали что это очень вкусно и я решила как-нибудь попробовать приготовить. Оказалось что это бомбически вкусно, мясо просто нежнейшее.
Говяжьи хвосты 1 кг
Картофель 0,5-0,7 кг
Лук 2 шт
Болгарский перец 1 шт
Кинза
Специи
1. Вымочить хвосты в холодной воде, минимум часа 2, периодически промыв…
Мамкста — канал-сообщество, где одна девушка стала мамой и теперь вдохновляет других мам и вдохновляется ими сама.
Несерьезно о серьезном и честно о повседневном.
Если вам близок слог Алины и на канале уютно, как с малышом под боком — добро пожаловать. Здесь любят дружить🩷
❤8👍5🔥4
Showing the 10 most recent of 10 posts we hold for @da_budet_Borsch. 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 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.
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.
“Да будет борщ!” (@da_budet_Borsch), 979 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/da_budet_Borsch.
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.