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 10 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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
28 measurements spanning 34 days, net -190. 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 24,948–25,195 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
10 Sept 2026, 02:16
24,976
-15
6 Sept 2026, 17:01
24,991
-10
4 Sept 2026, 04:19
25,001
-2
2 Sept 2026, 19:29
25,003
-6
1 Sept 2026, 19:15
25,009
-9
31 Aug 2026, 18:18
25,018
-8
30 Aug 2026, 17:05
25,026
-6
29 Aug 2026, 15:48
25,032
-1
28 Aug 2026, 18:42
25,033
-5
27 Aug 2026, 20:16
25,038
+2
26 Aug 2026, 20:25
25,036
-6
25 Aug 2026, 19:42
25,042
-3
24 Aug 2026, 17:44
25,045
-4
23 Aug 2026, 05:24
25,049
-8
21 Aug 2026, 19:58
25,057
+5
20 Aug 2026, 15:08
25,052
-11
19 Aug 2026, 12:03
25,063
-15
18 Aug 2026, 13:12
25,078
-6
17 Aug 2026, 10:39
25,084
-9
15 Aug 2026, 19:46
25,093
first reading
Engagement
30 posts held, back to 31 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 57 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
32.1%
avg views ÷ 24,976 subscribers
Avg views / post
8,010
12 posts measured
Reaction rate
3.29%
reactions ÷ views · ER floor
Posts in window
12
of 30 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 30 August 2026
Posts held
30 (31 July 2026 – 30 August 2026)
Views total
96,140
Reactions total
3,166
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:37 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
1h 06m
Average length
4m 44s
Measured directly from 14 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
6,125 reactions across 30 posts, in 13 distinct kinds. The most used accounts for 46.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,837
46.3%
🔥
1,308
21.4%
🤣
1,086
17.7%
👍
231
3.77%
👏
213
3.48%
😁
195
3.18%
😍
108
1.76%
💯
58
0.947%
🥰
41
0.669%
🎉
31
0.506%
😱
8
0.131%
🤩
6
0.098%
🤯
3
0.049%
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 30 of the 30 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 6,125 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 31 July 2026 to 30 August 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.
Отрицание, гнев, торг, депрессия, «да зачем мне это всё, у меня и так куча всего» иииии… купила таки продукты от Вики Бони.🤣
Два консилера, карандаш для губ, масло-блеск, румяна. Буду делать обзор. Все ради вас.🤣 Ничего себе, всё людям! Ржу )))
Кто пробовал ее продукты уже?
Как вам?
Я не жду ничего сверхъестественного, ибо сейчас даже вполне себе бюджетные бренды делают прекрасную декоративную косметику. Но Викину в…
Показываю новые свои парфюмерные приобретения. Тут мне и Валере были куплены духи и все они от Parfums De Marly.
Рассказала почему у бренда символ – это лошади и откуда эта стилистика флаконов. Людовик XV во всем виноват.
В конце экскурс про мужские ароматы бренда, будет полезно всем, кто ищет своей второй половинке понятный аромат без древесины и фельдеперсов.👌🏻
UPD: стойкость у парфюмов не скажу, что запредельна…
Девочки, мне кажется эта рубрика фэшн-обзоров от Валеры должна стать постоянной на моем канале.👌🏻🤣
После вчерашних сториз директ взорван, Валерик проснулся знаменитым.
Лайм в этом сезоне отчаянно полюбили эко-мех и нашили вещей из него на любой вкус и цвет. Но мой муж не оценил.😆😆😆
Зебра мне кстати нравится. Жакет из оленя тоже (но на мне размер М и прямо впритык он). Остальное взяла специально, зная ЧТО он мне на эт…
А пока выгружу обзор на новинки Givenchy и еще покажу тут достойные баночки, которые мне полюбились.
По Живанши мнение моё следующее:
✅ Консилер Givenchy неплох, но я знаю и миллион других не менее прекрасных консилеров. Мне вообще в последнее время очень нравится вот этот Sarah Creal в оттенке Power Nap. Не дешевый, но классный. Синеву в подглазье стирает за секунду, классно держится в течение жаркого дня, не суши…
Девы, я сегодня потестила бронзеры, новые оттенки карандашей от RHODE! Просто невероятно крутые там есть оттенки!!!
Бронзер в стике в оттенке Pebble – mustbuy!!!
Карандаши из летней коллекции (новые оттенки) в оттенках Squeeze и Push – тоже огонь! Причем с помощью бледного Push можно делать тень вокруг губ по технике Нины Парк, а потом Сквизом коричневатым сам контур.
Glazing milk с сияшкой у меня тоже в 2-х оттен…
Ой девочкиииии!!!! Сколько мне всего из бьюти-новинок пришло за 2 дня. Обозревать мне это до конца жизни.🤣🤣🤣
Часть уже успела отснять (Живанши например). Скоро поделюсь.
Я вчера в запрещенной сети поделилась краткой версией этого обзора, а сюда, пожалуй, выложу полную.
Наслаждайтесь 👌🏻🤣
Что-то в этот раз заказ из Лайма практически полностью подлежит возврату. Хотя я не часто этим грешу.
Комментарии Валеры бесценны.
Кто ещё покупал что-то из этой «Шанель» коллекции? Как вам?
Луки недели, из тех, что успела сфотографировать. 🤳
Что то я решила все летние наряды хоть по разу, но надеть. А то лето закончится, а у меня куча всего ни разу не надЁвано.🤣
Разбег от «притти вуман вокинг даун зэ стрит» до «белое на белом» – одна секунда.
Платье в горох не могу продать уже который год, вроде и надоело, но как только я заикаюсь, что хочу от него избавиться, муж орет «ты штооо?! это же самое красивое…
А вообще, дорогие мои, я как-то пропустила тот факт, что нас стало больше 8000 человек на канале @bellerissima_resale.
Это настолько круто, я так собой и нами всеми горжусь, вы не представляете!
Сколько раз я пыталась уйти из этого «бизнеса», но жизнь меня сюда вернула. И вот уже 5 лет как я веду этот ресейл-канал.
Для нашего с мужем закрытого платного канала я записала огромный и интересный подкаст про ресейл, про…
❤96🔥25🤣4
Showing the 12 most recent of 30 posts we hold for @bellerissima. 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
@bellerissima 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
24 August 2026
Most recent edit
24 August 2026
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.
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.
Svetsong @svetsongs · 27,388 Telegram ranks this channel #33 of 69 here — alongside 68 others — read 11 September 2026
Олеся Ревеко | Нутрициолог @olesya_reveko1 · 43,175 Telegram ranks this channel #38 of 88 here — alongside 87 others — read 28 August 2026
Макс Галишников @makcgalishnikov · 96,526 Telegram ranks this channel #49 of 89 here — alongside 88 others — read 17 August 2026
DPS VL | Владивосток, Приморье, Россия @dpsvl · 114,749 Telegram ranks this channel #78 of 80 here — alongside 79 others — read 21 August 2026
Новости Приморья | Владивостока @novosti_primorye25 · 114,443 Telegram ranks this channel #86 of 87 here — alongside 86 others — read 21 August 2026
Новости VL.ru | Владивосток @newsvlru · 87,075 Telegram ranks this channel #90 of 93 here — alongside 92 others — read 21 August 2026
Афиша Владивосток VL.ru @afishavlru · 41,659 Telegram ranks this channel #93 of 94 here — alongside 93 others — read 29 August 2026
NEWS.VL | Владивосток и Приморье @newsvlc · 67,396 Telegram ranks this channel #94 of 94 here — alongside 93 others — read 21 August 2026
This channel appears in 8 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 10 September 2026 — this
entry's latest reading, not the date you are reading this.
“Bellerissima” (@bellerissima), 24,976 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/bellerissima.
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.