Channel
@sovetoshnaya5
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
827subscribers
-27 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003644609289 |
|---|---|
| Type | Channel |
| Username | @sovetoshnaya5 |
| Created | Between 1 December 2025 and 19 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/sovetoshnaya5 |
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 20 September 2026 and assigned it the closest of 31 fixed categories, at 60% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 13:16 | 827 | -4 |
| 8 Sept 2026, 18:16 | 831 | -7 |
| 30 Aug 2026, 05:14 | 838 | -3 |
| 23 Aug 2026, 08:03 | 841 | -10 |
| 14 Aug 2026, 20:36 | 851 | -2 |
| 8 Aug 2026, 07:05 | 853 | -1 |
| 8 Aug 2026, 01:18 | 854 | no change |
| 7 Aug 2026, 18:06 | 854 | first reading |
8 posts held, back to 19 May 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 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 8 posts for this entry, the most recent from 1 June 2026. An engagement rate over an empty window would be a number about nothing.
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.
117 reactions across 8 posts, in 8 distinct kinds. The most used accounts for 55.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 65 | 55.6% | |
| 🔥 | 25 | 21.4% | |
| 😍 | 14 | 12.0% | |
| 🤝 | 6 | 5.13% | |
| 👍 | 3 | 2.56% | |
| 👏 | 2 | 1.71% | |
| 😁 | 1 | 0.855% | |
| 🥰 | 1 | 0.855% |
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 8 of the 8 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 117 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 19 May 2026 to 1 June 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.
Хобби, снижающие риск деменции А все, а все, пора уже держать руку на пульсе, так сказать😅 если бы меня спросили, какое хобби лучше всего защищает мозг от деменции, я бы уверенно ответила: — чтение — шахматы — судоку — разгадывание сканвордов в электричке но нет на первом месте оказались... ТАНЦЫ именно они показали самую сильную связь со снижением риска деменции в известном исследовании, опубликованном в New En…
❤20
Принесла вас чудо-средства для стирки, если устали хоронить белые вещи и вещи с пятнами стоят копейки, а работают как боженьки чистоты ⚡️ первое — розовый пятновыводящий стик вообще не верила в него взяла в Магните просто попробовать эта штука стоила что-то около ста рублей и я уже морально готовилась к разочарованию намочила, натёрла пятно, оставила минут на 15, потом кинула в стирку и… пятно исчезло 😮 причем …
🔥17😍5
Вы знаете, что сейчас я активно занимаюсь своими телесами изгоняю жиры и целлюлит, чтобы щеголять летом в бикини, как Кейт Мосс из российской глубинки 👩 😁 Но буду честна, даже ради самого шикарного и невероятного тела, я не готова сидеть на диете, ни за что😬 Поэтому читаю адекватных специалистов, которые не запрещают еду Делюсь с вами парочкой лайфхаков от химика- нутрициолога Дианы: ❤️ где брать белок и сколько…
❤6😍3
Смотрите, что нашла ❤️🔥 Естессно, никаких минус 3 сантиметра ждать не стоит НО.. как схема самомассажа, чтобы лимфе показать, кто в доме хозяин — очень даже Сегодня опробовала на себе — ощущения приятные, мне понравилось Поэтому вам принесла 🫶🏻
❤8🤝6🔥3😍2
Помните шарлотку? Заходишь домой, а там она стоит в духовке и так пахнет! Люблю каналы с простыми, но свежими рецептами. На канале Ани Пахнет шарлоткой как раз такие. Вот несколько, которые мне понравились: Панна-котта со смородиной и шоколадом – это вообще любовная любовь Пельмешки, от которых мы с вами не будем толстеть Лапки. Не куриные, а те, что дети съедают охотнее, чем макароны Салат красоты – ну, такое н…
❤5😍1
Слышали про нутритивную плотность продуктов? Это соотношение витаминов, минералов, клетчатки и других полезных веществ к калорийности продукта Она показывает, сколько ценных элементов вы получаете с каждой съеденной килокалорией Условно: брокколи — мало калорий, много витаминов, клетчатки и сытости пончик — много калорий, а пользы как картона пожевать И в этом проблема современной еды Можно есть дофига калорий,…
❤8👏2🔥2🥰1
Нашла на канале с шитьем и авторскими экскурсиями по Москве книгу Богиню глюкозы 💔 иногда интернет ведёт меня необычными тропами но, если честно… тема прогулок по Москве с осмысленным экскурсоводом меня заинтересовала даже сильнее книги поездок за границу у нас пока не намечается ну и что теперь, дома сидеть?! Москва, вообще-то, тоже умеет удивлять🇷🇺 Уже столько уже мест увидела, на которые сама бы вообще никогд…
😍3❤1
Продукты, которыми можно добрать белок, если не хочется ничего готовить ⚡️ Коктейль молочный высокобелковый shock milk — 40 гр белка ⚡️ Филе индейки в собственном соку — 34,2 гр белка ⚡️ Консервированный тунец или сайра — 20-25 гр белка ⚡️ Греческий йогурт (добавляем туда фрукты) — 20 гр белка ⚡️ Протеиновый пудинг — 20гр белка Пользуетесь такими благами цивилизации? Особенно в дни, когда ни петь, ни свистет…
❤17👍3🔥3😁1
Showing the 8 most recent of 8 posts we hold for @sovetoshnaya5. 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.
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.
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.
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.
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.
“Советошная” (@sovetoshnaya5), 827 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/sovetoshnaya5.
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.