подборка видео на ночь глядя то, с чего меня периодически разносит, бывает такое настроение 😂
😁10❤5

Channel
@facebbos
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
20,227subscribers
-926 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001689864328 |
|---|---|
| Type | Channel |
| Username | @facebbos |
| Description | уход, массаж, здоровье и молодость @natalia_bbos канал включен в перечень РКН: https://clck.ru/3LR3aE |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 60 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/facebbos |
Health & wellness — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 64% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 10:56 | 20,227 | -7 |
| 5 Nov 2026, 09:37 | 20,234 | -7 |
| 4 Nov 2026, 06:59 | 20,241 | -4 |
| 3 Nov 2026, 04:57 | 20,245 | -20 |
| 2 Nov 2026, 03:27 | 20,265 | -7 |
| 1 Nov 2026, 01:57 | 20,272 | -8 |
| 30 Oct 2026, 22:36 | 20,280 | -14 |
| 29 Oct 2026, 21:10 | 20,294 | -17 |
| 28 Oct 2026, 20:19 | 20,311 | -11 |
| 27 Oct 2026, 17:18 | 20,322 | -13 |
| 26 Oct 2026, 19:08 | 20,335 | -7 |
| 25 Oct 2026, 16:19 | 20,342 | -15 |
| 24 Oct 2026, 19:37 | 20,357 | -9 |
| 23 Oct 2026, 22:30 | 20,366 | -15 |
| 22 Oct 2026, 21:39 | 20,381 | -20 |
| 21 Oct 2026, 15:58 | 20,401 | -19 |
| 20 Oct 2026, 10:54 | 20,420 | -10 |
| 19 Oct 2026, 13:06 | 20,430 | -2 |
| 18 Oct 2026, 13:48 | 20,432 | -8 |
| 17 Oct 2026, 16:18 | 20,440 | first reading |
39 posts held, back to 27 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 66 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 39 (27 July 2026 – 6 November 2026) |
| Views total | 13,593 |
| Reactions total | 240 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 03:13 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.
Lifetime counters from Telegram’s own channel header, read 7 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.
Measured directly from 16 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.
1,461 reactions across 39 posts, in 10 distinct kinds. The most used accounts for 67.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 989 | 67.7% | |
| 🔥 | 236 | 16.2% | |
| 😱 | 113 | 7.73% | |
| 🤯 | 39 | 2.67% | |
| 🌚 | 24 | 1.64% | |
| 😭 | 20 | 1.37% | |
| 😁 | 19 | 1.30% | |
| 🎉 | 8 | 0.548% | |
| 👍 | 8 | 0.548% | |
| 😍 | 5 | 0.342% |
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 39 of the 39 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 1,461 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 27 July 2026 to 6 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @facebbos. 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 39 most recent posts we hold for this entry, published 27 July 2026 to 6 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.
Telegram’s own ‘edited’ marker: 1 of 8 posts held from the last 30 days (12.5%) 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).
подборка видео на ночь глядя то, с чего меня периодически разносит, бывает такое настроение 😂
😁10❤5
средство недели — виральный тонер из тик-тока сейчас все говорят про него, называют его «cool hot girl body toner» — средство для эффектных красоток это Knock Melt in Body Toner с карамельным запахом это не лосьон и не крем, а именно тонер: лёгкая молочная текстура, которая впитывается мгновенно и не оставляет после себя ни липкости, ни жирной плёнки, чего обычно не хватает средствам для тела, который ждёшь, пока …
❤26🔥12
хеллоуин прошёл, а новости остались увидела рекламу салона в калифорнии, который специализируется на уходе за кожей головы отварами трав, соками и самодельными масками на хеллоуин у них было специальное «меню», вот его и демонстрировал ролик⬇️ на видео клиентка лежит среди тыкв и свечей, на груди у неё бутафорские паучки, а голову поливают «слизью» с пауками по рецептам из «магических книг», выглядит, конечно, впе…
😱17❤11
брук шилдс вслух сказала то, что обычно не говорят это одна из самых красивых актрис (девочка из фильма «голубая лагуна» iykyk) её спросили про морщины, и она ответила: «я не могу сказать, что мне нравятся морщины, потому что это было бы ложью» но дальше важно — она сказала, что заслужила их, они появились от того, что она улыбалась, и избавляться от того, что показывает её зрелость и путь, она не собирается прост…
❤49🔥5
средство недели — крем для рук в дофаминовой упаковке любители корейской косметики должны узнать этого красавчика от Amuse, я на эту серию кремов для рук смотрела очень долго, уж очень хорошенькие и тут в нашем рабочем чате Академии одна из косметологов рассказала о нем, да так рассказала, что мы всей командой побежали скупать, кто-то даже не успел… 🤣 надеюсь, вам повезёт больше что в нем хорошего: текстура лёгка…
❤25
горе-специалисты 😭 почему важно правильно определять тип старения мы с вами уже неделю обсуждаем типы старения, я сейчас вам объясню, почему от этого зависит ваша красота мы начинаем стареть с момента рождения, а видимые признаки начинают появляться уже в ~20 лет: - кто-то все время мучается с отеками - кто-то с каждым годом находит все больше и больше мелких морщинок у себя на лице - а кто-то не меняется совсем и…
❤16🔥7
экспресс-разборы типов старения, ищите ваш взяла фото девушек разных возрастных групп и разных типов, обязательно найдёте что-то для себя, поэтому смотрите видео ⤴️ разбор 1: - асимметрия - мышцы шеи с одной стороны сокращены, с другой — растянуты - отёк: носослёзка и носогубка - напряжение в межбровке - напряжение в подбородке и челюстной зоне - пропадает овал лица разбор 2: - наклон головы в одну сторону - отёк …
❤12🔥12
японские штучки из будущего часть 2 вам понравился обзор разных прикольных бьюти-продуктов из Японии, вот ещё вам порция на этот всё про месячные ⚪️двухразовые прокладки Sarasaty Two-Layer Panty Liner для тех, кто носит ежедневки, у кого есть выделения по самым разным причинам, тут придумали, что можно в течение дня верхний слой снять и будто снова у вас свежая прокладка думаю, удобно, если поехали куда-то или заш…
❤31🔥2
бесплатный совет косметолога по вашей коже ✋ друзья, у нас в канале академии ухода очень редкая рубрика — наши косметологи сегодня раздают нужные советы направо и налево так что успевайте сегодня поучаствовать, спросить то, что интересует по коже или уходу, сможете получить один практический совет очень часто именно он поможет сдвинуться с мертвой точки: например, вы не понимаете, какой актив подобрать, с чего нач…
❤13🔥2
был набег на русский магазин в Австрии что купила: - корпусные десерты - неваляшка - барбариски желе - смесь для компота
❤26👍5
откажитесь от этого, чтобы улучшить кожу я говорю о выдавливании прыщей сама я не была на чистке у косметолога уже 10 лет, и это не потому, что я забила на кожу — скорее наоборот ☺️ что происходит, когда мы выдавливаем прыщи или сальные нити: — пора растягивается и уже не возвращается к прежнему размеру, в следующий раз забьётся быстрее — часть содержимого уходит глубже в ткани, и начинается воспаление там, где ег…
❤11
дружеское напоминание о том, что всё, что вы делаете или хотите делать — это нормально до одного момента дублирую рилс сюда, чтобы вы тоже поучаствовали в обсуждениях 🤔
❤54🔥11
Showing the 12 most recent of 39 posts we hold for @facebbos. 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.
@facebbos 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
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 26 September 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.
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.
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“NATALIA BBOS” (@facebbos), 20,227 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/facebbos.
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.